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Taylor, Samuel P. "Design and simulation of high performance hybrid electric vehicle powertrains." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=1839.
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Thesis (M.S.)--West Virginia University, 2001.Title from document title page. Document formatted into pages; contains xiii, 93 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 90-93).
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Sivertsson, Martin. "Optimal Control of Electrified Powertrains." Doctoral thesis, Linköpings universitet, Fordonssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117290.
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Vehicle powertrain electrification, i.e. combining the internal combustion engine (ICE) with an electric motor (EM), is a potential way of meeting the increased demands for efficient and low emission transportation, at a price of increased powertrain complexity since more degrees of freedom (DoF) have been introduced. Optimal control is used in a series of studies of how to best exploit the additional DoFs. In a diesel-electric powertrain the absence of a secondary energy storage and mechanical connection between the ICE and the wheels means that all electricity used by the EMs needs to be produced simultaneously by the ICE, whose rotational speed is a DoF. This in combination with the relatively slow dynamics of the turbocharger in the ICE puts high requirements on good transient control. In optimal control studies, accurate models with good extrapolation properties are needed. For this aim two nonlinear physics based models are developed and made available that fulfill these requirements, these are also smooth in the region of interest, to enable gradient based optimization techniques. Using optimal control and one of the developed models, the turbocharger dynamics are shown to have a strong impact on how to control the powertrain and neglecting these can lead to erroneous estimates both in the response of the powertrain as well as how the powertrain should be controlled. Also the objective, whether time or fuel is to be minimized, influences the engine speed-torque path to be used, even though it is shown that the time optimal solution is almost fuel optimal. To increase the freedom of the powertrain control, a small energy storage can be added to assist in the transients. This is shown to be especially useful to decrease the response time of the powertrain, but the manner it is used, depends on the time horizon of the optimal control problem. The resulting optimal control solutions are for certain cases oscillatory when stationary controls would have been expected. This is shown to be neither an artifact of the discretization used nor a result of the modeling assumptions used. Instead it is for the formulated problems actually optimal to use periodic control in certain stationary operating points. Measurements show that the pumping torque is different depending on whether the controls are periodic or constant despite the same average value. Whether this is beneficial or not depends on the operating point and control frequency, but can be predicted using optimal periodic control theory. In hybrid electric vehicles (HEV) the size of the energy storage reduces the impact of poor transient control, since the battery can compensate for the slower dynamics of the ICE. For HEVs the problem instead is how and when to use the battery to ensure good fuel economy. An adaptive map-based equivalent consumption minimization strategy controller using battery state of charge for feedback control is designed and tested in a real vehicle with good results, even when the controller is started with poor initial values. In a plug-in HEV (PHEV) the battery is even larger, enabling all-electric drive, making it it desirable to use the energy in the battery during the driving mission. A controller is designed and implemented for a PHEV Benchmark and is shown to perform well even for unknown driving cycles, requiring a minimum of future knowledge.Elektrifiering av drivlinan i fordon är ett sätt att möta kraven på transporter med hög effektivitet och låga utsläpp. Att byta ut förbränningsmotorn mot en elmotor kan ge vinningar avseende effektivitet, prestanda och utsläpp, men till en kostnad av lägre mobilitet på grund av eletriska energilagers relativt låga energitäthet i jämförelse med fossila bränslen. Att istället komplettera förbränningsmotorn med en elmotor erbjuder möjligheten att kombinera de två systemens fördelar och samtidigt undvika nackdelarna. Att använda mer än en motor i drivlinan ökar komplexiteten eftersom fler frihetsgrader har introducerats. Detta ställer ökade krav på utformningen av reglersystemet för att få ut det mesta av potentialen i drivlinan. I optimal styrning använder man matematiska modeller och optimeringsalgoritmer för att beräkna hur man bäst styr det modellerade systemet. Storleken på det elektriska energilagret påverkar dock valet av optimal styrnings-metod samt vilken detaljnivå på modellerna som behövs. I avhandlingen används optimal styrning i en serie studier av hur man bäst utnyttjar de extra frihetsgraderna som elektrifieringen har introducerat. I en diesel-elektrisk drivlina finns det ingen mekanisk koppling mellan motorn och hjulen, likt en växellåda i ett vanligt fordon, vilket gör att dieselmotorns varvtal är en frihetsgrad som måste styras. Avsaknaden av elektriskt energilager leder också till att all elektrisk energi till elmotorn måste produceras av förbränningsmotorn exakt då den behövs. Dessa två egenskaper, i kombination med den långsamma dynamiken hos turboaggregatet, ställer detta höga krav på god transientreglering. För att studera optimal styrning krävs bra modeller med goda extrapoleringsegenskaper. Med avseende på detta utvecklas två fysik-baserade modeller som uppfyller dessa krav och dessutom är tillräckligt glatta i det relevanta arbetsområdet för att möjliggöra gradient-baserade optimeringstekniker. Med optimal styrning och en av de utvecklade modellerna visas turbons dynamik ha stor påverkan på hur drivlinan bör styras. Att försumma turbodynamiken kan leda till felaktiga uppskattningar, både av drivlinans responstid, men även hur den bör styras. Kriteriet, det vill säga om bränsle eller tidsåtgången minimeras, påverkar också vilken motorvarvtal-motormoment-väg som är optimal, även om det visas att den tidsoptimala lösningen är nästan bränsleoptimal. För att ytterligare öka frihetsgraden i drivlinan kan ett elektriskt energilager användas för att assistera i transienterna. Detta visar sig vara särskilt användbart för att minska responstiden hos drivlinan, men hur det ska använda beror på tidshorisonten på optimeringsproblemet De resulterande optimala styrsignalerna är i vissa fall oscillerande där konstanta styrsignaler förväntas. Detta visas vara vare sig en effekt av den använda diskretiseringen eller modelleringsvalen som är gjorda. Istället är det för de lösta problemen faktiskt optimalt att använda periodiska styrsignaler för vissa stationära arbetspunkter. I experiment visas att pumparbetet skiljer sig beroende på om periodiska eller konstanta styrsignaler används, även om medelvärdet är detsamma. Huruvida detta ökar effektiviteten eller inte beror på arbetspunkt och periodtid. För hybridelektriska fordon (HEV) så minskar batteriets storlek effekten av dålig transientreglering då batteriet kan användas för att kompensera för den långsamma förbränningsmotordynamiken. Istället blir problemet i huvudsak hur mycket och när batteriet ska användas för att få god bränsleekonomi. En adaptiv mapp-baserad ekvivalentförbruknings-minimerande styrlag (ECMS) med återkopplad reglering baserad på batteriets laddningsnivå, utvecklas och testas i riktigt fordon med gott resultat, även vid dålig initialisering av regulatorn. För plug-in hybrider (PHEV) är batteriet större och kan dessutom laddas från elnätet, vilket medför möjlighet till rent elektrisk drift och att det är önskvärt att använda energin i batteriet under köruppdraget. För att minska energiåtgången är det däremot ofta lönsamt att blanda energin från bränsle och batteriet kontinuerligt under köruppdraget och se till att batteriet töms lagom till slutet av köruppdraget. För att åstadkomma detta måste då även urladdningstakten bestämmas. En regulator utvecklas för att minimera energiåtgången för en PHEV, det vill säga som försöker använda lagom av batteriet så det ska räcka hela vägen, men inte längre. Denna regulator implementeras för ett referensproblem, med gott resultat även för okända körcykler, trots ett minimum av framtidskunskap.
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Houshmand, Arian. "Multidisciplinary Dynamic System Design Optimization of Hybrid Electric Vehicle Powertrains." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479822276400281.
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Doucette, Reed. "The Oxford Vehicle Model : a tool for modeling and simulating the powertrains of electric and hybrid electric vehicles." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:cfff8f27-f4a4-4c77-953e-09253aba3aa0.
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This dissertation addresses the challenges of scoping and sizing components and modeling the tank to wheel energy flows in new and rapidly evolving classes of automotive vehicles. It introduces a system of computer models, known as the Oxford Vehicle Model (OVEM), which provide for the novel simulation of the powertrains of electric (EV) and hybrid electric vehicles (HEV). OVEM has a three-level structure that makes a unique contribution to the field of vehicle analysis by enabling a user to proceed from performing scoping and sizing exercises through to accurately simulating the energy flows in powertrains of EVs and HEVs utilizing existing and emerging technologies based on real world data. Level 1 uses simplified models to support initial component scoping and sizing exercises in an analysis environment where uncertainty regarding component specifications is high. Level 2 builds on Level 1 by obtaining more refined component scoping and sizing estimates via the use of component models based on well-understood scientific principles that are product-independent – a crucial feature for obtaining unbiased scoping and sizing estimates. Level 3 employs a high degree of fidelity in that its models impose actual physical limits and are based on data from real technologies. This dissertation concludes with two chapters based on studies published as journal articles that used OVEM to address key issues facing the development of EVs and HEVs. The first study used OVEM to make the novel comparison between high-speed flywheels, batteries, and ultracapacitors on the bases of cost and fuel consumption while functioning as the energy storage systems in an HEV. The second study applied OVEM towards a novel examination of the CO2 emissions from plug-in HEVs (PHEVs) and compares their CO2 emissions to those from similar EVs and ICE-based vehicles.
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Walker, Alan Michael. "Axial flux permanent magnet electric machines for hybrid electric vehicle powertrains." Thesis, Imperial College London, 2006. http://hdl.handle.net/10044/1/8911.
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Arasu, Mukilan T. "Energy Optimal Routing of Vehicle Fleet with Heterogeneous Powertrains." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1566150970771138.
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White, Eli Hampton. "An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/49433.
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Throughout the past several years, a major push has been made for the automotive industry to provide vehicles with lower environmental impacts while maintaining safety, performance, and overall appeal. Various legislation has been put into place to establish guidelines for these improvements and serve as a challenge for automakers all over the world. In light of these changes, hybrid technologies have been growing immensely on the market today as customers are seeing the benefits with lower fuel consumption and higher efficiency vehicles. With the need for hybrids rising, it is vital for the engineers of this age to understand the importance of advanced vehicle technologies and learn how and why these vehicles can change the world as we know it. To help in the education process, this thesis seeks to define a powertrain model created and developed to help users understand the basics behind hybrid vehicles and the effects of these advanced technologies.
One of the main goals of this research is to maintain a simplified approach to model development. There are very complex vehicle simulation models in the market today, however these can be hard to manipulate and even more difficult to understand. The 1 Hz model described within this work aims to allow energy to be simply and understandable traced through a hybrid powertrain. Through the use of a 'backwards' energy tracking method, demand for a drive cycle is found using a drive cycle and vehicle parameters. This demand is then used to determine what amount of energy would be required at each component within the powertrain all the way from the wheels to the fuel source, taking into account component losses and accessory loads on the vehicle. Various energy management strategies are developed and explained including controls for regenerative braking, Battery Electric Vehicles, and Thermostatic and Load-following Series Hybrid Electric Vehicles. These strategies can be easily compared and manipulated to understand the tradeoffs and limitations of each.
After validating this model, several studies are completed. First, an example of using this model to design a hybrid powertrain is conducted. This study moves from defining system requirements to component selection, and then finding the best powertrain to accomplish the given constraints. Next, a parameter known as Power Split Fraction is studied to provide insight on how it affects overall powertrain efficiency. Since the goal with advanced vehicle powertrains is to increase overall system efficiency and reduce overall energy consumption, it is important to understand how all of the factors involved affect the system as a whole. After completing these studies, this thesis moves on to discussing future work which will continue refining this model and making it more applicable for design. Overall, this work seeks to provide an educational tool and aid in the development of the automotive engineers of tomorrow.Master of Science
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Amoussougbo, Thibaut. "Combined Design and Control Optimization of Autonomous Plug-In Hybrid Electric Vehicle Powertrains." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623241895255747.
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De, Pascali Luca. "Modeling, Optimization and Control of Hybrid Powertrains." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/242873.
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To cope with the increasing demand of a more sustainable mobility, the main Original Equipment Manufacturers are producing vehicles equipped with hybrid propulsion systems that increase the overall vehicle efficiency and mitigate the emission problem at a local level. The newly gained degrees of freedom of the hybrid powertrain need to be handled by advanced energy management techniques that allow to fully exploit the system capabilities.
In this thesis we propose an optimal control approach to the solution of the energy management problem, putting emphasis on the importance of accurate models for the reliability of the optimization solution.
In the first part of the thesis we address the energy management problem for a hybrid electric vehicle, including the mitigation of the battery aging mechanisms. We show that, with an optimal management strategy, we could extend the battery life up to 25% for some driving cycles while keeping the fuel savings performance substantially unaltered.
In the second part of the thesis we focus on the hydrostatic hybrid transmission, a different hybridization solution that is able to fulfill the high power demand of heavy duty off-highway vehicles. Also in this case, we formulate the energy management problem as an optimal control problem, dealing with the complexity introduced by the discrete valve actuations in the framework of mixed-integer optimal control. We show that, using hydraulic accumulators to recover energy from the regenerative braking, we could reduce fuel consumption up to 13% for a typical driving cycle.
In the third and last part of the thesis we show how the optimization approach can be used to systematically design and calibrate control algorithms, casting the calibration problem into a Linear Matrix Inequality. We first develop a non-overshooting closed-loop control for the actuation pressure of a wet clutch, proving the effectiveness of the control on an experimental setup.
Finally, we focus on the design of a dead-zone based kinematic observer for the estimation of the lateral velocity of a road vehicle. The structure of the observer presents good noise rejection performance, allowing for the selection of a higher observer gain that improves the estimation accuracy.
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Serrao, Lorenzo. "A comparative analysis of energy management strategies for hybrid electric vehicles." Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1243934217.
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Kabalan, Bilal. "Systematic methodology for generation and design of hybrid vehicle powertrains." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSE1048.
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Pour répondre aux objectifs de consommation des flottes de véhicules, au normes d’émissions de polluants et aux nouvelles demandes de l’usager, les constructeurs automobiles doivent développer des motorisations hybrides et électriques. Réaliser une chaine de traction hybride reste cependant une tâche difficile. Ces systèmes sont complexes et possèdent de nombreuses variables réparties sur différents niveaux : architecture, technologie des composants, dimensionnement et contrôle/commande. L’industrie manque encore d’environnements et d’outils pouvant aider à l’exploration de l’ensemble de l’espace de dimensionnement et à trouver la meilleure solution parmi tous ces niveaux. Cette thèse propose une méthodologie systématique pour répondre au moins partiellement à ce besoin. Partant d’un ensemble de composants, cette méthodologie permet de générer automatiquement tous les graphes d’architectures possibles en utilisant la technique de programmation par contraintes. Une représentation dédiée est développée pour visualiser ces graphes. Les éléments de boites de vitesse (embrayages, synchroniseurs) sont représentés avec un niveau de détails approprié pour générer de nouvelles transmission mécaniques sans trop complexifier le problème. Les graphes obtenus sont ensuite transformés en d’autres types de représentation : 0ABC Table (décrivant les connections mécaniques entre les composants), Modes Table (décrivant les modes de fonctionnement disponibles dans les architectures) et Modes Table + (décrivant pour chaque mode le rendement et le rapport de réduction global des chemins de transfert de l’énergie entre tous les composants). Sur la base de cette représentation, les nombreuses architectures générées sont filtrées et seules les plus prometteuses sont sélectionnées. Elles sont ensuite automatiquement évaluées et optimisées avec un modèle général spécifiquement développé pour calculer les performances et la consommation de toute les architectures générées. Ce modèle est inséré dans un processus d’optimisation à deux niveaux ; un algorithme génétique GA est utilisé pour le dimensionnement des composants et la programmation dynamique est utilisée au niveau contrôle (gestion de l’énergie) du système. Un cas d’étude est ensuite réalisé pour montrer le potentiel de cette méthodologie. Nous générons ainsi automatiquement toutes les architectures qui incluent un ensemble de composants défini à l’avance, et le filtrage automatique élimine les architectures présupposées non efficaces et sélectionnent les plus prometteuses pour l’optimisation. Les résultats montrent que la méthodologie proposée permet d’aboutir à une architecture meilleure (consommation diminuée de 5%) que celles imaginées de prime abord (en dehors de toute méthodologie)To meet the vehicle fleet-wide average CO2 targets, the stringent pollutant emissions standards, and the clients’ new demands, the automakers realized the inevitable need to offer more hybrid and electric powertrains. Designing a hybrid powertrain remains however a complex task. It is an intricate system involving numerous variables that are spread over different levels: architecture, component technologies, sizing, and control. The industry lacks frameworks or tools that help in exploring the entire design space and in finding the global optimal solution on all these levels. This thesis proposes a systematic methodology that tries to answer a part of this need. Starting from a set of chosen components, the methodology automatically generates all the possible graphs of architectures using constraint-programming techniques. A tailored representation is developed to picture these graphs. The gearbox elements (clutches, synchronizer units) are represented with a level of details appropriate to generate the new-trend dedicated hybrid gearboxes, without making the problem too complex. The graphs are then transformed into other types of representation: 0ABC Table (describing the mechanical connections between the components), Modes Table (describing the available modes in the architectures) and Modes Table + (describing for each available mode the global efficiency and ratio of the power flow between all the components). Based on these representations, the architectures are filtered and the most promising ones are selected. They are automatically assessed and optimized using a general hybrid model specifically developed to calculate the performance and fuel consumption of all the generated architectures. This model is inserted inside a bi-level optimization process: Genetic Algorithm GA is used on the sizing and components level, while Dynamic Programming DP is used on the control level. A case study is performed and the capability of the methodology is proven. It succeeded in automatically generating all the graphs of possible architectures, and filtering dismissed architectures that were then proven not efficient. It also selected the most promising architectures for optimization. The results show that the proposed methodology succeeded in finding an architecture better than the ones proposed without the methodology (consumption about 5% lower)
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Alley, Robert Jesse. "VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/33697.
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As the global demand for energy increases, the people of the United States are increasingly subject to high and ever-rising oil prices. Additionally, the U.S. transportation sector accounts for 27% of total nationwide Greenhouse Gas (GHG) emissions. In the U.S. transportation sector, light-duty passenger vehicles account for about 58% of energy use. Therefore incremental improvements in light-duty vehicle efficiency and energy use will significantly impact the overall landscape of energy use in America.
A crucial step to designing and building more efficient vehicles is modeling powertrain energy consumption. While accurate modeling is indeed key to effective and efficient design, a fundamental understanding of the powertrain and auxiliary systems that contribute to energy consumption for a vehicle is equally as important if not more important. This thesis presents a methodology that has been packaged into a tool, called VTool, that can be used to estimate the energy consumption of a vehicle powertrain. The method is intrinsically designed to foster understanding of the vehicle powertrain as it relates to energy consumption while still providing reasonably accurate results. VTool explicitly calculates the energy required at the wheels of the vehicle to complete a prescribed drive cycle and then explicitly applies component efficiencies to find component losses and the overall energy consumption for the drive cycle. In calculating component efficiencies and losses, VTool offers several tunable parameters that can be used to calibrate the tool for a particular vehicle, compare powertrain architectures, or simply explore the tradeoffs and sensitivities of certain parameters.
In this paper, the method is fully and explicitly developed to model Electric Vehicles (EVs), Series Hybrid Electric Vehicles (HEVs) and Parallel HEVs for various different drive cycles. VTool has also been validated for use in UDDS and HwFET cycles using on-road test results from the 2011 EcoCAR competition. By extension, the method could easily be extended for use in other cycles. The end result is a tool that can predict fuel consumption to a reasonable degree of accuracy for a variety of powertrains, calculate J1711 Utility Factor weighted energy consumption for Extended Range Electric Vehicles (EREVs) and determine the Well-to-Wheel impact of a given powertrain or fuel. VTool does all of this while performing all calculations explicitly and calculating all component losses to allow the user maximum access which promotes understanding and comprehension of the fundamental dynamics of automotive fuel economy and the powertrain as a system.Master of Science
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Chanda, Soumendu. "Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855.
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Wei, Xi. "Modeling and control of a hybrid electric drivetrain for optimum fuel economy, performance and driveability." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1095960915.
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Gantt, Lynn Rupert. "Energy Losses for Propelling and Braking Conditions of an Electric Vehicle." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32879.
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The market segment of hybrid-electric and full function electric vehicles is growing within the automotive transportation sector. While many papers exist concerning fuel economy or fuel consumption and the limitations of conventional powertrains, little published work is available for vehicles which use grid electricity as an energy source for propulsion. Generally, the emphasis is put solely on the average drive cycle efficiency for the vehicle with very little thought given to propelling and braking powertrain losses for individual components. The modeling section of this paper will take basic energy loss equations for vehicle speed and acceleration, along with component efficiency information to predict the grid energy consumption in AC Wh/km for a given drive cycle.
This paper explains how to calculate the forces experienced by a vehicle while completing a drive cycle in three different ways: using vehicle characteristics, United States Environmental Protection Agencyâ s (EPA) Dynamometer â targetâ coefficients, and an adaptation of the Sovran parameters. Once the vehicle forces are determined, power and energy demands at the wheels are determined. The vehicle power demands are split into propelling, braking, and idle to aide in the understanding of what it takes to move a vehicle and to identify possible areas for improvement. Then, using component efficiency data for various parameters of interest, the energy consumption of the vehicle as a pure EV is supplied in both DC (at the battery terminals) and AC (from the electric grid) Wh/km. The energy that flows into and out of each component while the vehicle is driving along with the losses at each step along the way of the energy path are detailed and explained. The final goal is to make the results of the model match the vehicle for any driving schedule. Validation work is performed in order to take the model estimates for efficiencies and correlate them against real world data. By using the Virginia Tech Range Extended Crossover (VTREX) and collecting data from testing, the parameters that the model is based on will be correlated with real world test data. The paper presents a propelling, braking, and net energy weighted drive cycle averaged efficiency that can be used to calculate the losses for a given cycle. In understanding the losses at each component, not just the individual efficiency, areas for future vehicle improvement can be identified to reduce petroleum energy use and greenhouse gases. The electric range of the vehicle factors heavily into the Utility Weighted fuel economy of a plug-in hybrid electric vehicle, which will also be addressed.Master of Science
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LIU, YUXING. "Distributed Model Predictive Control with Application to 48V Diesel Mild Hybrid Powertrains." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1556710574872984.
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Madireddy, Madhava Rao. "Analytical design of a parallel hybrid electric powertrain for sports utility vehicles and heavy trucks." Ohio : Ohio University, 2003. http://www.ohiolink.edu/etd/view.cgi?ohiou1175278829.
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Sivertsson, Martin. "Optimization of Fuel Consumption in a Hybrid Powertrain." Thesis, Linköpings universitet, Fordonssystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-63563.
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Increased environmental awareness together with new legislative demands on lowered emissions and a rising fuel cost have put focus on increasing the fuel efficiency in new vehicles. Hybridization is a way to increase the efficiency of the powertrain.The Haldex electric Torque Vectoring Device is a rear axle with a built in electric motor, designed to combine all-wheel drive with hybrid functionality. A method is developed for creating a real time control algorithm that minimizes the fuel consumption. First the consumption reduction potential of the system is investigated using Dynamic Programming. A real time control algorithm is then devised that indicates a substantial consumption reduction potential compared to all-wheel drive, under the condition that the assumed and measured efficiencies are accurate. The control algorithm is created using equivalent consumption minimization strategy and is implemented without any knowledge of the future driving mission. Two ways of adapting the control according to the battery state of charge are proposed and investigated. The controller optimizes the torque distribution for the current gear as well as assists the driver by recommending the gear which would give the lowest consumption. The simulations indicate a substantial fuel consumption reduction potential even though the system primarily is an all-wheel drive concept. The results from vehicle tests show that the control system is charge sustaining and the driveability is deemed good by the test-drivers.
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Roy, Hillol K. "A generalised powertrain component size optimisation methodology to reduce fuel economy variability in hybrid electric vehicles." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/62732/.
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Although hybrid electric vehicles (HEVs) generally improve fuel economy (FE) compared to conventional vehicles, evidence of higher FE variability in HEVs compared to conventional vehicles indicates that apart from the improvement in FE, the reduction of FE variability is also of significant importance for HEVs. Over the years research on how to optimise powertrain component sizes of HEVs has generally focused on improving FE over a given driving pattern; FE variability over a realistic range of driving patterns has generally been overlooked, and this can lead to FE benefits of HEVs not being fully realised in real-world usage. How to reduce the FE variability in HEVs due to variation in driving patterns through the optimisation of powertrain component sizes is considered as the research question. This research proposes a new methodology in which powertrain components are optimised over a range of driving patterns representing different traffic conditions and driving styles simultaneously. This improves upon the traditional methodology followed in the reviewed literature, where an optimisation is performed for each individual driving pattern. An analysis shows that the traditional methodology could produce around 20% FE variability due to variation in driving patterns. This study considers a computer simulation model of a series-parallel Toyota Prius HEV for the investigation. Four powertrain components, namely, internal combustion engine, generator, motor, and battery of the Toyota Prius are optimised for FE using a genetic algorithm. For both the proposed and traditional methodologies, the powertrain components are optimised based on 5 standard driving patterns representing different traffic conditions and driving styles. During the optimisation, the proposed methodology considers all the 5 driving patterns simultaneously, whereas the traditional methodology considers each driving pattern separately. The optimum designs of both the methodologies and the simulation model of the Toyota Prius which is the benchmark vehicle for this study are evaluated for FE over the aforementioned 5 standard driving patterns and also 10 real-world driving patterns of a predefined route consisting of urban and highway driving patterns. The proposed methodology provides a single optimum design over the 5 standard driving patterns, whereas the traditional methodology provides 5 different optimum designs, one for each driving pattern. The single optimum design produced by the proposed methodology is independent of the sequence of driving patterns. The proposed methodology reduces FE variability by 5.3% and up to 48.9% with comparable average FE compared to the Toyota Prius and traditional methodology, respectively over the 10 real-world driving patterns, whereas none of the optimum designs of the traditional methodology is able to reduce FE variability compared to the Toyota Prius. This research provides a promising direction to address customer concerns related to FE in the real-world and improves understanding of the effect of driving patterns on the design of powertrain components.
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Bovee, Katherine Marie. "Optimal Control of Electrified Powertrains with the Use of Drive Quality Criteria." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1448273973.
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Porandla, Sachin Kumar. "Design optimization of a parallel hybrid powertrain using derivative-free algorithms." Master's thesis, Mississippi State : Mississippi State University, 2005. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.
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Multani, Sahib Singh. "Pseudospectral Collocation Method Based Energy Management Scheme for a Parallel P2 Hybrid Electric Vehicle." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587653689067271.
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Li, Tianpei. "Fault Diagnosis for Functional Safety in Electrified and Automated Vehicles." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587583790925718.
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Amirian, Hossein. "Design of a novel rotary compact power pack for the series hybrid electric vehicle : design and simulation of a compact power pack consisting of a novel rotary engine and outer rotor induction machine for the series hybrid electric vehicle powertrain." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4446.
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Hybrid electric vehicles significantly reduce exhaust emissions and increase fuel economy. Power packs are the most fundamental components in a series powertrain configuration of a hybrid vehicle, which produce the necessary power to run the vehicle. The aim of this project is to design a compact power pack for a series hybrid vehicle, using virtual prototyping. The hybrid electric vehicle characteristics and configurations are analysed, followed by an explanation of the principles of induction machines. A new type of rotary induction machine with an outer rotor construction is designed to be coupled with the novel rotary internal combustion engine with rotating crankcase in order to form the compact power unit for the hybrid vehicle. The starting and generation performance of the designed machine is analysed by an electric machine simulator, called JMAG. ADVISOR software is studied and utilised to simulate the overall vehicle performance, employing different categories of power packs in the powertrain. Results show that the proposed compact power pack has the best performance in terms of fuel economy, emissions and battery charging compared to the existing power unit options. Over the city cycle, fuel economy is increased by up to 47 % with emission reduced by up to 36 % and over the highway cycle, fuel economy is increased by up to 69 % with emission reduced by up to 42 %.
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Zeng, Xiangrui. "Optimally-Personalized Hybrid Electric Vehicle Powertrain Control." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471342105.
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Wu, Billy. "Fuel cell hybrid electric vehicle powertrain modelling and testing." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/29949.
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In order to meet the 2050 targets of an 80% reduction in greenhouse gas emissions, electrification of transport is required. Of the zero-emission technologies relating to automotive applications hydrogen fuel cells, lithium-ion batteries and supercapacitors have received the greatest attention. This thesis presents work on the development and implementation of lithium-ion battery, proton exchange membrane fuel cell and supercapacitor models with the aim of developing the tools and techniques required in assessing their feasibility in automotive applications. Experimental validation of each of these devices is provided with insight given into the physical performance limitations of each device. Analysis is then presented on overall powertrain configurations with a focus on the performance of passive hybridisation as a means of reducing the cost of a vehicle powertrain whilst retaining the advantages of hybridisation. Four main chapters of content relating to work on: lithium-ion batteries, proton exchange membrane fuel cell, supercapacitors and vehicle system level analysis is presented with distinct conclusions and novel work presented in each chapter. Lithium-ion batteries The mathematical framework on the development of a psuedo 2D thermally-coupled electrochemical battery model is presented. This was parameterised using a genetic algorithm based technique against pulsed discharge test data for a 4.8 Ah lithium-polymer cell. This physics-based model was used to develop a means of tracking stoichiometric drift of battery electrodes using a simulated slow rate cyclic voltammetry technique as well as the development of a novel differential thermal voltammetry technique for the extraction of the same information as slow rate cyclic voltammetry but at a much faster rate. The differential voltammetry technique was then used to infer stoichiometric drift in a battery. The lithium-ion battery model was also used to investigate the scale up effects from single cell to large automotive scale packs. It was found that interconnect resistances in highly parallel packs can cause significant load inhomogeneities due to the increased overpotential caused by the interconnects which can be on the same order as the battery impedance. Cells near to the pack load points were found to experience the highest loads, with highly transient load conditions amplifying the effect. Proton exchange membrane fuel cells The mathematical framework for the development of a proton exchange membrane fuel cell model which accounted for transient thermal, mass balance and water management effects and the associated balance-of-plant system was presented. This was validated against experimental data from an in-house developed 9.5 kW 75 cell fuel cell system. Inhomogeneities in the reactant delivery, and thus performance of cells, in large automotive stacks were investigated with a focus on localised flooding leading to failure through pin-hole formation. It was shown that low pressure systems suffer from the increased risk of ooding, with location of the cell relative to the inlet/ outlets of the reactants being a critical parameter. Flooding was then shown to lead to catastrophic failure of the fuel cell stack through pin-hole formation which lead to a cascading potential instability and decay due to the bipolar coupling of the cells and anode side hydrogen cross over, respectively.
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Pflieger, Wolfgang [Verfasser], and A. [Akademischer Betreuer] Albers. "Ein methodischer Ansatz zur modularen Auslegung von Antriebsstrangkomponenten im Rahmen der Entwicklung von Hybridfahrzeugen = A method describing the modular design of powertrain components for hybrid electric vehicles / Wolfgang Pflieger ; Betreuer: A. Albers." Karlsruhe : KIT-Bibliothek, 2021. http://d-nb.info/1235072509/34.
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Bauer, Leo P. "Distance-Based Optimization of 48V Mild-Hybrid Electric Vehicle." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1522945979952733.
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Zhao, Junfeng. "Biodiesel Accommodations in Both Conventional and Hybrid Electric Powertrains." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1430477081.
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Hasan, S. M. Nayeem. "Hybrid Electric Vehicle Powertrain: On-line Parameter Estimation of an Induction Motor Drive and Torque Control of a A PM BLDC Starter-generator." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208185834.
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Bhikadiya, Ruchit Anilbhai. "Hybrid Vehicle Control Benchmark." Thesis, Linköpings universitet, Fordonssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586.
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The new emission regulations for new trucks was made to decrease the CO2 emissions by 30% from 2020 to 2030. One of the solutions is hybridizing the truck powertrain with 48V or 600V that can recover brake energy with electrical machines and batteries. The control of this hybrid powertrain is key to increase fuel efficiency. The idea behind this approach is to combine two different power sources, an internal combustion engine and a battery driven electric machine, and use both to provide tractive forces to the vehicle. This approach requires a HEV controller to operate the power flow within the systems. The HEV controller is the key to maximize fuel savings which contains an energy management strategy. It uses the knowledge of the road profile ahead by GPS and maps, and strongly interacts with the control of the cruise speed, automated gear shifts, powertrain modes and state of charge. In this master thesis, the dynamic programming strategy is used as predictive energy management for hybrid electric truck in forward- facing simulation environment. An analysis of predictive energy management is thus done for receding and full horizon length on flat and hilly drive cycle, where fuel consumption and recuperation energy will be regarded as the primary factor. Another important factor to consider is the powertrain mode of the vehicle with different penalty values. The result from horizon study indicates that the long receding horizon length has a benefit to store more recuperative energy. The fuel consumption is decreased for all drive cycle in the comparison with existing Volvo’s strategy.
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Ngan, Shing-kwong. "Comparison of electric vehicles, hybrid vehicles & LPG vehicles /." Hong Kong : University of Hong Kong, 1999. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21301384.
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Mohan, Ganesh. "A toolbox for multi-objective optimisation of low carbon powertrain topologies." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/10292.
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Stricter regulations and evolving environmental concerns have been exerting ever-increasing pressure on the automotive industry to produce low carbon vehicles that reduce emissions. As a result, increasing numbers of alternative powertrain architectures have been released into the marketplace to address this need. However, with a myriad of possible alternative powertrain configurations, which is the most appropriate type for a given vehicle class and duty cycle? To that end, comparative analyses of powertrain configurations have been widely carried out in literature; though such analyses only considered limited types of powertrain architectures at a time. Collating the results from these literature often produced findings that were discontinuous, which made it difficult for drawing conclusions when comparing multiple types of powertrains.
The aim of this research is to propose a novel methodology that can be used by practitioners to improve the methods for comparative analyses of different types of powertrain architectures. Contrary to what has been done so far, the proposed methodology combines an optimisation algorithm with a Modular Powertrain Structure that facilitates the simultaneous approach to optimising multiple types of powertrain architectures. The contribution to science is two-folds; presenting a methodology to simultaneously select a powertrain architecture and optimise its component sizes for a given cost function, and demonstrating the use of multi-objective optimisation for identifying trade-offs between cost functions by powertrain architecture selection.
Based on the results, the sizing of the powertrain components were influenced by the power and energy requirements of the drivecycle, whereas the powertrain architecture selection was mainly driven by the autonomy range requirements, vehicle mass constraints, CO2 emissions, and powertrain costs. For multi-objective optimisation, the creation of a 3-dimentional Pareto front showed multiple solution points for the different powertrain architectures, which was inherent from the ability of the methodology to concurrently evaluate those architectures. A diverging trend was observed on this front with the increase in the autonomy range, driven primarily by variation in powertrain cost per kilometre.
Additionally, there appeared to be a trade-off in terms of electric powertrain sizing between CO2 emissions and lowest mass. This was more evident at lower autonomy ranges, where the battery efficiency was a deciding factor for CO2 emissions.
The results have demonstrated the contribution of the proposed methodology in the area of multi-objective powertrain architecture optimisation, thus addressing the aims of this research.
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Ngan, Shing-kwong, and 顔成廣. "Comparison of electric vehicles, hybrid vehicles & LPG vehicles." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31254354.
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Borkovec, Tomáš. "Design of Generalized Powertrain Model." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220391.
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In this work is proposed the generalized powertrain of the parallel hybrid car. The powertrain is composed from the sub-models of the power sources. Each sub-model is described by the quasi-static modeling. For given routes is computed the power demand. Based on the derived power demand, three energy management systems are tested. First system is based on heuristic rules. The second one use more sophisticated control algorithms - the optimization method. Main idea is based on minimum principle, when the control algorithm tries to minimize the cost function (fuel use, emission). The last one is based on the equivalent consumption minimization strategy.
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Strömberg, Emma. "Optimal Control of Hybrid Electric Vehicles." Thesis, Linköping University, Department of Electrical Engineering, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1845.
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Hybrid electric vehicles are considered to be an important part of the future vehicle industry, since they decrease fuel consumption without decreasing the performance compared to a conventional vehicle. They use two or more power sources to propel the vehicle, normally one combustion engine and one electric machine. These power sources can be arranged in different topologies and can cooporate in different ways. In this thesis, dynamic models of parallel and series hybrid powertrains are developed, and different strategies for how to control them are compared.An optimization algorithm for decreasing fuel consumption and utilize the battery storage capacity as much as possible is also developed, implemented and tested.
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Hutchinson, Timothy W. "Evaluation of the commercial viability of electric and hybrid-electric powertrains for the motorcycle industry." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685969.
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The transport industries are under pressure to reduce emissions of toxic gases and lessen their dependence on non-renewable resources. The passenger car industry has experienced particular attention, with the combined influences of customers and regulators driving real change. Manufacturers have invested heavily in new power train technologies, with a large number of electric and hybrid-electric vehicles commercialised over the past few years. The motorcycle industry, however, has received far less attention and currently negligible electric and hybrid-electric motorcycle markets exist. The purpose of this research is to evaluate the viability of commercialising electric and hybrid-electric powertrains within the high-power motorcycle industry. The research is industrially focussed, specifically aimed at the motorcycle manufacturer Triumph Motorcycles and its established customer base. A clear research approach is adopted, with equal importance attributed to the technical system of the motorcycle power train and to the sociotechnical system in which it lies. Firstly, capabilities of relevant powertrain technologies and fundamental motorcycle design rules are evaluated. A target market is identified based on matching customer requirements to technology capabilities. Potential performance characteristics are then analysed for a broad range of electric and hybrid-electric powertrain architectures, in order to select those most suited to the target market. Finally, the commercial viability of the selected powertrain architectures are evaluated through in-depth performance analysis and conceptual motorcycle design. Powertrain packaging feasibility is explored and potential marketing strategies are discussed. Significant research findings are presented, wit h valuable insights for Triumph Motorcycles. The high-power motorcycle industry possesses very different requirements to t he passenger car industry. Therefore, a distinct strategy is necessary for the adoption of new powertrain technologies. Potentially viable hybrid-electric motorcycle concepts are identified, however the majority of electric and hybrid-electric powertrain architectures are not currently able to satisfy market requirements.
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Neblett, Alexander Mark Hattier. "Application of Functional Safety Standards to the Electrification of a Vehicle Powertrain." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/84485.
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With the introduction of electronic control units to automotive vehicles, system complexity has increased. With this change in complexity, new standards have been created to ensure safety at the system level for these vehicles. Furthermore, vehicles have become increasingly complex with the push for electrification of automotive vehicles, which has resulted in the creation of hybrid electric and battery electric vehicles.
The goal of this thesis is to provide an example of a hazard and operability analysis as well as a hazard and risk analysis for a hybrid electric vehicle. Additionally, the safety standards developed do not align well with educational prototype vehicles because the standards are designed for corporations. The hybrid vehicle supervisory controller example within this thesis demonstrates how to define a system and then perform system-level analytical techniques to identify potential failures and associated requirements. Ultimately, through this analysis suggestions are made on how best to reduce system complexity and improve system safety of a student built prototype vehicle.Master of Science
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Vallur, Rajendran Avinash. "A Methodology for Development of Look Ahead Based Energy Management System Using Traffic In Loop Simulation." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1514828055131881.
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Jin, Lebing. "Integrated Compact Drives for Electric and Hybrid Electric Vehicles." Doctoral thesis, KTH, Elkraftteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196732.
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To develop more competitive solutions, one of the trends in the development of drive systems for electric and hybrid electric vehicles (EVs/HEVs) is to integrate the power electronic converter and the electric motor. This thesis aims to investigate the performance and the operation of modular converters in integrated motor drive systems for EVs/HEVs. In the first part, the concept of integrated modular motor drive systems for EVs/HEVs is introduced. Three suitable modular converter topologies, namely, the stacked polyphase bridges (SPB) converter, the parallel-connected polyphase bridges (PPB) converter and the modular high frequency (MHF) converter, are evaluated and compared with conventional electric drives in terms of power losses, energy storage requirements, and semiconductor costs. In the second part of the thesis, the harmonic content of the dc-link current of the SPB converter is analyzed. By adopting an interleaving modulation the size of the dc-link capacitor can be reduced without increasing the switching frequency, which is beneficial for achieving a compact integrated system. This method allows for around 80% reduction of the dc-link capacitance for vehicle drives, resulting in a significant size reduction of the power converter and improved integration. Finally, a communication-based distributed control system for the SPB converter is presented. The communication delay arising from the serial communication is inevitable, thus a timing analysis is also presented. It has been found that stability is maintained even when the baud rate of the SPI communication is lower than 1 Mbps, indicating that other communication protocols with lower bandwidths can also be adopted for this topology. The analytical investigations provided in this thesis are validated by experiments on a four-submodule laboratory prototype. Experimental results verify the correctness of the theoretical analysis, as well as the dynamic performance of the distributed control system.QC 20161121
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Lohse-Busch, Henning. "Development and Applications of the Modular Automotive Technology Testbed (MATT) to Evaluate Hybrid Electric Powertrain Components and Energy Management Strategies." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/29094.
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This work describes the design, development and research applications of a Modular Automotive Technology Testbed (MATT). MATT is built to evaluate technology components in a hybrid vehicle system environment. MATT can also be utilized to evaluate energy management and torque split control strategies and to produce physical measured component losses and emissions to monitor emissions behavior.
In the automotive world, new technology components are first developed on a test bench and then they are integrated into a prototype vehicle for transient evaluation from the vehicle system perspective. This process is expensive and the prototype vehicles are typically inflexible in hardware and software configuration. MATT provides flexibility in component testing through its component module approach. The flexible combination of modules provides a vehicle environment to test and evaluate new technology components. MATT also has an open control system where any energy management and torque split strategy can be implemented. Therefore, the controlâ s impact on energy consumption and emissions can be measured. MATT can also emulate different types and sizes of vehicles. MATT is a novel, unique, flexible and powerful automotive research tool that provides hardware-based data for specific research topics.
Currently, several powertrain modules are available for use on MATT: a gasoline engine module, a hydrogen engine module, a virtual scalable energy storage and virtual scalable motor module, a manual transmission module and an automatic transmission module. The virtual battery and motor module uses some component Hardware-In-the-Loop (HIL) principles by utilizing a physical motor powered from the electric grid in conjunction with a real time simulation of a battery and a motor model. This module enables MATT to emulate a wide variety of vehicles, ranging from a conventional vehicle to a full performance electric vehicle with a battery pack that has virtually unlimited capacity.
A select set of PHEV research studies are described in this dissertation. One of these studies had an outcome that influenced the PHEV standard test protocol development by SAE. Another study investigated the impact of the control strategy on emissions of PHEVs. Emissions mitigation routines were integrated in the control strategies, reducing the measured emissions to SULEV limits on a full charge test.
A special component evaluation study featured in this dissertation is the transient performance characterization of a supercharged hydrogen internal combustion engine on MATT. Four constant air-fuel ratio combustions are evaluated in a conventional vehicle operation on standard drive cycles. Then, a variable air fuel ratio combustion strategy is developed and the test results show a significant fuel economy gain compared to other combustion strategies, while NOx emissions levels are kept low.Ph. D.
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Tamaro, Courtney Alex. "Vehicle powertrain model to predict energy consumption for ecorouting purposes." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71635.
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The automotive industry is facing some of the most difficult design challenges in industry history. Developing innovative methods to reduce fossil fuel dependence is imperative for maintaining compliance with government regulations and consumer demand. In addition to powertrain design, route selection contributes to vehicle environmental impact.
The objective of this thesis is to develop a methodology for evaluating the energy consumption of each route option for a specific vehicle. A 'backwards' energy tracking method determines tractive demand at the wheels from route requirements and vehicle characteristics. Next, this method tracks energy quantities at each powertrain component. Each component model is scalable such that different vehicle powertrains may be approximated. Using an 'ecorouting' process, the most ideal route is selected by weighting relative total energy consumption and travel time.
Only limited powertrain characteristics are publicly available. As the future goal of this project is to apply the model to many vehicle powertrain types, the powertrain model must be reasonably accurate with minimal vehicle powertrain characteristics. Future work expands this model to constantly re-evaluate energy consumption with real-time traffic and terrain information.
While ecorouting has been applied to conventional vehicles in many publications, electrified vehicles are less studied. Hybrid vehicles are particularly complicated to model due to additional components, systems, and operation modes. This methodology has been validated to represent conventional, battery electric, and parallel hybrid electric vehicles. A sensitivity study demonstrates that the model is capable of differentiating powertrains with different parameters and routes with different characteristics.Master of Science
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Cox, Jonathan Douglas. "Model-based design and specification of a hybrid electric Chevrolet Camaro for the EcoCAR 3 competition." Thesis, Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55042.
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Georgia Tech has the privilege of competing in EcoCAR 3, a four-year competition in which 16 universities are given a stock 2016 Chevrolet Camaro and work to transform it into a hybrid electric sports car. In this thesis, an overview of the first two years of the author’s work on the team as the Engineering Manager, the graduate student overseeing all vehicle engineering work, will be detailed. The competition will be introduced and described before a discussion on vehicle electrification and the various ways it has been achieved by manufacturers and competition teams. Next, the design of the Georgia Tech vehicle will be presented with a focus on powertrain and supporting component selection. The vehicle model underlying many of these decisions will then be discussed in detail, showing how the team used Simulink and Engineering Equation Solver to effectively predict vehicle performance, emissions, energy consumption, and cooling needs. Building on this, the controls design process known as model/software/hardware in the loop will be discussed in the context of the Georgia Tech team’s use of this process. Finally, a progress update will be given, including photos of the team vehicle in current build state weeks before the Year 2 Competition.
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Nennelli, Anjali Devi. "Simulation of heavy-duty hybrid electric vehicles." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2259.
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Thesis (M.S.)--West Virginia University, 2001.Title from document title page. Document formatted into pages; contains xvi, 112 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 85-87).
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Shabbir, Wassif. "Control strategies for series hybrid electric vehicles." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/39791.
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This thesis deals with the energy management problem of series hybrid electric vehicles (HEVs), where the objective is to maximize fuel economy for general driving. The work employs a high-fidelity model that has been refined to deliver appropriate level of dynamics (for the purposes of this research) at an acceptable computational burden. The model is then used to design, test and study established conventional control strategies, which then act as benchmarks and inspiration for proposed novel control strategies. A family of efficiency maximizing map strategies (EMMS) are developed based on a thorough and holistic analysis of the powertrain efficiencies. The real-time variants are found to deliver impressive fuel economy, and the global variant is found to outperform the conventional global benchmark. Two heuristic strategies are developed (exclusive operation strategy (XOS) and optimal primary source strategy (OPSS)) that are found to deliver significantly better fuel economy results, compared to conventional alternatives, and further desirable traits. This is found to be particularly related to the better use of modern start stop systems (SSSs) that has not been considered sufficiently in the past. A global heuristic strategy (GHS) is presented that successfully outperforms the conventional global benchmark without any particularly complex analysis. This exposes some of the limitations of optimization-based techniques that have been developed for simple vehicle models. Lastly, the sensitivity of the performance of the control strategies has been studied for variations in tuning accuracy, SSS efficiency, vehicle initial conditions, and general driving conditions. This allows a deeper insight into each control strategy, exposing strengths and limitations that have not been apparent from past work.
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Ozden, Burak Samil. "Modeling And Optimization Of Hybrid Electric Vehicles." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615583/index.pdf.
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The main goal of this thesis study is the optimization of the basic design parameters of hybrid electric vehicle drivetrain components to minimize fuel consumption and emission objectives, together with constraints derived from performance requirements. In order to generate a user friendly and flexible platform to model, select drivetrain components, simulate performance, and optimize parameters of series and parallel hybrid electric vehicles, a MATLAB based graphical user interface is designed. A basic sizing procedure for the internal combustion engine, electric motor, and battery is developed. Pre-defined control strategies are implemented for both types of hybrid configurations. To achieve better fuel consumption and emission values, while satisfying nonlinear performance constraints, multi-objective gradient based optimization procedure is carried out with user defined upper and lower bounds of optimization parameters. The optimization process is applied to a number of case studies and the results are evaluated by comparison with similar cases found in literature.
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SANCHEZ, FERNANDO ZEGARRA. "ENERGY EFFICIENCY OF SERIES HYBRID ELECTRIC VEHICLES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19553@1.
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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRONesta dissertação apresenta-se a avaliação da eficiência energética do Veículo Elétrico Híbrido em Série mediante o desenvolvimento teórico de dois protótipos de sistemas de propulsão elétrica e o estudo experimental do consumo de combustível do veículo original. A análise experimental foi feita mediante o desenvolvimento de uma bancada de teste, composta principalmente por um dinamômetro de chassis, um piloto automático e um medidor de vazão de combustível, acompanhado de toda a eletrônica que fez possível a aquisição de dados em cada teste. Neste estudo desenvolvem- se dois modelos teóricos de arquitetura para o sistema de propulsão do VEH, o primeiro composto de quatro motores, cada um embutido nas rodas do veículo, e o segundo composto por dois motores, cada um embutido nas rodas do eixo traseiro do veículo. Existem diversos procedimentos para poder embutir um motor na roda do veículo, o que se deve ter em conta é o peso, a potência e a eficiência na transmissão de potência. No desenvolvimento teórico do sistema de propulsão em cada roda, faz-se necessário o uso do redutor cicloidal, o qual permite uma redução de 3:1 até 119:1 em um só estágio com uma eficiência de transmissão de 93 por cento, conjuntamente com um motor de corrente contínua sem escovas, o qual tem uma alta densidade de potência. Os resultados da avaliação do sistema de propulsão elétrica dos protótipos mostram que o modelo de quatro motores nas rodas é mais eficiente em comparação com o modelo de dois motores embutidos nas rodas. Isto se deve ao fato do segundo modelo ser mais pesado, já que precisa uma maior quantidade de baterias e além disso de motores mais robustos. Na avaliação do consumo energético do VEH em comparação com o modelo original a gasolina, obtiveram-se resultados interessantes referentes à economia na utilização do recurso energético. O VEH teve um comportamento melhor em ciclos urbanos que em ciclos de estrada e a economia do recurso energético alcança 57,6 por cento quando se testa com ciclos urbanos e 11,4 por cento em ciclos de estrada.
This dissertation presents the evaluation of the energy efficiency of a series hybrid electric vehicle through the theoretical development of two electric propulsion systems and an experimental study of fuel consumption of the original vehicle. The experimental analysis was done by a test setting, consisting mainly by a chassis dynamometer, an autopilot system and a fuel flowmeter, all connected to the data acquisition system. In this study it was developed two theoretical models of propulsion systems for HEV. The first one consists of four in-wheel motors and the second one consists of two in-wheel motors on the rear axle. There are various methods for embedding a motor in the wheel. It is necessary to consider the weight, power and transmission efficiency. In the theoretical model it was considered a cycloidal reducer, which allows a reduction of 3:1 to 119:1 in one stage with an efficiency of 93 percent, together with a brushless DC motor, which has a high power density. The results of the evaluation of the electric propulsion systems show that the model with four in-wheel motors is more efficient than the model with two in-wheel motors. This is a consequence of the fact that the second model is heavier, because it needs a bigger amount of batteries and more robust motors. In the evaluation of the HEV energy consumption in comparison with the original gasoline model, it was observed interesting results regarding the energy savings. The HEV presents better performance in urban cycles that in road cycles, saving 57,6 per cent of the consumed energy in urban cycles and 11,4 per cent in road cycles.
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Holmes, Alan Glen. "Electrically variable transmissions for hybrid electric vehicles." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1298491808.
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Glenn, Bradley C. "Intelligent Control of Parallel Hybrid Electric Vehicles." The Ohio State University, 1999. http://rave.ohiolink.edu/etdc/view?acc_num=osu1391600950.
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Al-Adsani, Ahmad Saad. "Hybrid permanent magnet machines for electric vehicles." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/hybrid-permanent-magnet-machines-for-electric-vehicles(457bd49f-4e9c-4f9b-8436-589ab5e2d02d).html.
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In this research study, the feasibility of using one of the Hybrid Permanent Magnet (HPM) machine topologies acting as a generator with a passive rectification stage is considered. The primary application area is in the power-train of a series hybrid electric vehicle where the concept will be considered as an alternative to brushless PM machines interfacing to the vehicle power-train via active power electronic converters. The electro-magnetic design of the two main parts in the selected HPM generator topology and their individual system behaviour at normal and rated conditions will be studied. Prediction of the transient and steady state temperature in some of the HPM machine parts will be conducted based on commercial thermal analysis software. Two HPM machine stator winding configurations; 3-phase and 9-phase, with their relevant passive rectification stages will be analysed in terms of their terminal and DC-link output power along with the quality of the generated DC output voltage. An investigation of the operational characteristic of the HPM generator when delivering a fixed power at a fixed speed into a dynamic DC voltage source typical of a hybrid electric vehicle power-train subject to urban driving regimes will be presented. The research work will be a mixture of simulation studies using electro-magnetic finite element analysis (FEA), transient machine and system analysis via SimPower, a Matlab/Simulink toolbox set, along with test validation via a representative prototype HPM generator configuration and its interface to an experimental electrical system evaluation platform.