Dissertations / Theses on the topic 'Complex parallel hybrid vehicle'
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Kaloun, Adham. "Conception de chaînes de traction hybrides et électriques par optimisation sur cycles routiers." Thesis, Ecole centrale de Lille, 2020. http://www.theses.fr/2020ECLI0019.
Full textDesigning hybrid powertrains is a complex task, which calls for experts from various fields. In addition to this, finding the optimal solution requires a system overview. This can be, depending on the granularity of the models at the component level, highly time-consuming. This is even more true when the system’s performance is determined by its control, as it is the case of the hybrid powertrain. In fact, various possibilities can be selected to deliver the required torque to the wheels during the driving cycle. Hence, the main obstacle is to achieve optimality while keeping the methodology fast and robust. In this work, novel approaches to exploit the full potential of hybridization are proposed and compared. The first strategy is a bi-level approach consisting of two nested optimization blocks: an external design optimization process that calculates the best fuel consumption value at each iteration, found through control optimization using an improved version of dynamic programming. Two different systemic design strategies based on the iterative scheme are proposed as well. The first approach is based on model reduction while the second approach relies on precise cycle reduction techniques. The latter enables the use of high precision models without penalizing the calculation time. A co-optimization approach is implemented afterwards which adjusts both the design variables and parameters of a new efficient rule-based strategy. This allows for faster optimization as opposed to an all-at-once approach. Finally, a meta-model based technique is explored
Kaloun, Adham. "Conception de chaînes de traction hybrides et électriques par optimisation sur cycles routiers." Thesis, Centrale Lille Institut, 2020. http://www.theses.fr/2020CLIL0019.
Full textDesigning hybrid powertrains is a complex task, which calls for experts from various fields. In addition to this, finding the optimal solution requires a system overview. This can be, depending on the granularity of the models at the component level, highly time-consuming. This is even more true when the system’s performance is determined by its control, as it is the case of the hybrid powertrain. In fact, various possibilities can be selected to deliver the required torque to the wheels during the driving cycle. Hence, the main obstacle is to achieve optimality while keeping the methodology fast and robust. In this work, novel approaches to exploit the full potential of hybridization are proposed and compared. The first strategy is a bi-level approach consisting of two nested optimization blocks: an external design optimization process that calculates the best fuel consumption value at each iteration, found through control optimization using an improved version of dynamic programming. Two different systemic design strategies based on the iterative scheme are proposed as well. The first approach is based on model reduction while the second approach relies on precise cycle reduction techniques. The latter enables the use of high precision models without penalizing the calculation time. A co-optimization approach is implemented afterwards which adjusts both the design variables and parameters of a new efficient rule-based strategy. This allows for faster optimization as opposed to an all-at-once approach. Finally, a meta-model based technique is explored
Won, Jong-Seob. "Intelligent energy management agent for a parallel hybrid vehicle." Texas A&M University, 2004. http://hdl.handle.net/1969.1/271.
Full textEnang, Wisdom. "Robust real-time control of a parallel hybrid electric vehicle." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720652.
Full textPicot, Nathan M. "A STRATEGY TO BLEND SERIES AND PARALLEL MODES OF OPERATION IN A SERIES-PARALLEL 2-BY-2 HYBRID DIESEL/ELECTRIC VEHICLE." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1189750096.
Full textEngman, Jimmy. "Model Predictive Control for Series-Parallel Plug-In Hybrid Electrical Vehicle." Thesis, Linköpings universitet, Fordonssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-69608.
Full textFordonsindustrin måste hantera allt strängare lagkrav mot utsläpp av emissioneroch växthusgaser. Hybridfordon har börjat betraktas som den framtida vägenför att ytterligare minska utsläpp och användning av fossila bränslen. Den ökadekomplexiteten från flera olika motorer kräver mera avancerade styrsystem. Begränsningarfrån motorernas energikällor gör att framtida förhållanden är viktigaatt estimera. För plug-in hybridfordon, PIHEV, är det viktigt att använda denvvijämförelsevis billiga elektriska energin innan fordonet har nått fram till slutdestinationen.Batteriets nuvarande energimängd mäts i dess State of Charge, SOC.Genom att utnyttja information om hur långt det är till slutdestinationen från ettGlobal Positioning System, GPS, blandar styrsystemet den elektriska energin medbränsle från början, detta kallas för blandad körning. En strategi som inte hartillgång till hur långt fordonet ska köras kallas Charge Depleting Charge Sustaining,CDCS. Denna strategi använder först energin från batteriet, för att sedanbörja använda förbränningsmotorn när SOC:s miniminivå har nåtts. Strategin attanvända GPS informationen är jämförd med en strategi som inte har tillgång tillinformation om körcykelns längd. Blandad körning använder en variabel SOC referens,till skillnad från CDCS strategin som använder sig av en konstant referenspå SOC:s miniminivå. Den variabla SOC referensen beror på hur långt fordonethar kört av den totala körsträckan, med hjälp av denna realiseras en blandad körning.Från simuleringarna visade det sig att blandad körning gav minskad kostnadför de simulerade körcyklerna jämfört med en CDCS strategi. En modellbaseradprediktionsreglering används för att lösa energifördelningsproblemet. Styrsystemetföljer körcykler och löser energifördelningsproblemet för de olika drivkällorna undersimuleringarna. Styrsystemet hanterar även måttliga modellfel.
Khan, Bruno Shakou. "Optimization of the fuel consumption of a parallel hybrid electric vehicle." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/16763.
Full textBoyd, Steven J. "Hybrid Electric Vehicle Control Strategy Based on Power Loss Calculations." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/34970.
Full textMaster of Science
Reinsel, Samuel Joseph. "Drive Quality Improvement and Calibration of a Post-Transmission Parallel Hybrid Electric Vehicle." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85046.
Full textMaster of Science
Marquez, Brunal Eduardo De Jesus. "Model and Control System Development for a Plug-In Parallel Hybrid Electric Vehicle." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71388.
Full textMaster of Science
Gallo, Eric Michael. "Development of Series Mode Control of a Parallel-Series Plug-In Hybrid Electric Vehicle." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1407247079.
Full textYard, Matthew Alexander. "Control and Drive Quality Refinement of a Parallel-Series Plug-in Hybrid Electric Vehicle." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1417695439.
Full textMultani, 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.
Full textUskay, Selim Onur. "Route Optimization For Solid Waste Transportation Using Parallel Hybrid Genetic Algorithms." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612942/index.pdf.
Full textHarmon, Frederick G. "Neural network control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2005. http://uclibs.org/PID/11984.
Full textWallén, Johanna. "Modelling of Components for Conventional Car and Hybrid Electric Vehicle in Modelica." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2367.
Full textHybrid electric vehicles have two power sources - an internal combustion engine and an electric motor. These vehicles are of great interest because they contribute to a decreasing fuel consumption and air pollution and still maintain the performance of a conventional car. Different topologies are described in this thesis and especially the series and parallel hybrid electric vehicle and Toyota Prius have been studied.
This thesis also depicts modelling of a reference car and a series hybrid electric vehicle in Modelica. When appropriate, models from the Modelica standard library have been used. Models for a manual gearbox, final drive, wheel, chassis, air drag and a driver have been developed for the reference car.
For the hybrid electric vehicle a continuously variable transmission, battery, an electric motor, fuel cut-off function for the internal combustion engine and a converter that distributes the current between generator, electric motor and internal combustion engine have been designed.
These models have been put together with models from the Modelica standard library to a reference car and a series hybrid electric vehicle which follows the NEDC driving cycle. A sketch for the parallel hybrid electric vehicle and Toyota Prius have also been made in Modelica.
Developed models have been introduced into the Modelica library VehProLib, which is a vehicle propulsion library under development by Vehicular Systems, Linköpings universitet.
Legg, Thomas David. "Development of a Parallel Hybrid Energy Management Strategy with Consideration of Drive Quality and State of Charge Dynamics." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103422.
Full textMaster of Science
A hybrid electric vehicle with an engine on the front axle and an electric motor on the rear axle is analyzed. A control strategy is developed based on a set of rules with different modes depending on the vehicle speed and accelerator pedal position, switching between using only the electric motor, only the engine, and a combination of both. The control strategy increases fuel economy while maintaining the charge level of the hybrid battery pack and providing a smooth and enjoyable driving experience.
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.
Full textHybrid 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.
Bovee, Katherine Marie. "Design of the Architecture and Supervisory Control Strategy for a Parallel-Series Plug-in Hybrid Electric Vehicle." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343416437.
Full textFogarty, Adam Garrett. "High voltage rear electric drivetrain design for a Parallel-Through-The-Road Plug-In Hybrid Electric Vehicle." Thesis, Purdue University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1584897.
Full textPurdue University was selected as one of 15 universities to participate in a three year Advanced Vehicle Technology Competition (AVTC) called EcoCar2: Plugging Into the Future. The vehicle built by the Purdue team was a Parallel-Through-The-Road Plug-in Hybrid Electric Vehicle (PTTR PHEV). The vehicle utilized a B20 diesel powertrain to power the front wheels, as well as a custom electric drivetrain to power the rear wheels. Using this vehicle during the final year of the competition, the team was successful in placing 4th overall as well as 2nd in the category of Well-To-Wheel (WTW) Greenhouse Gas Emissions. A stock 2013 Chevrolet Malibu was given to all teams in the competition to use as a base vehicle. The Purdue team removed the stock 2.4L gasoline engine of the Malibu in order to make room for the diesel powertrain and switched the stock Malibu rear suspension assembly to that of a 2013 All-Wheel-Drive (AWD) Buick LaCrosse in order to make room for the electric drivetrain. The electric drivetrain utilized a 16.4 kWhr Lithium Ion battery pack, a 103 kW (peak) 45 kW (nominal) electric motor, and the driveline components of a 2013 AWD Buick LaCrosse in order to transfer power to the wheels. Significantcant challenges concerning the custom electric drivetrain during the competition included the design, fabrication, installation and operation of a rear suspension cradle, Energy Storage System (ESS) and a Thermal Management System for the ESS. Computer Aided Drawing (CAD) and Finite Element Analysis (FEA) were used heavily during the design stages of vehicle development in order to give the Purdue team and AVTC competition organizers sufficient confidence to allow the team to build the designs they had proposed. This work describes the design, analysis and fabrication procedures used by the Purdue team in order to create the electric drivetrain used in their vehicle for the EcoCar2 competition.
Elghazaly, Gamal. "Hybrid cable thruster-actuated underwater vehicle manipulator system : modeling, analysis and control." Thesis, Montpellier, 2017. http://www.theses.fr/2017MONTS067.
Full textThe offshore industry for oil and gas applications is the main user of underwater robots, particularly, remotely operated vehicles (ROVs). Inspection, construction and maintenance of different subsea structures are among the applications of ROVs in this industry. The capability to keep a steady positioning as well as to lift and deploy heavy payloads are both essential for most of these applications. However, these capabilities are often limited by the available on-board vehicle propulsion power. In this context, this thesis introduces the novel concept of Hybrid Cable-Thruster (HCT)-actuated Underwater Vehicle-Manipulator Systems (UVMS) which aims to leverage the heavy payload lifting capabilities of cables as a supplementary actuation for ROVs. These cables are attached to the vehicle in a setting similar to Cable-Driven Parallel Robots (CDPR). Several issues are raised by the hybrid vehicle actuation system of thrusters and cables. The thesis aims at studying the impact of the supplementary cable actuation on the capabilities of the system. The thesis also investigate how to minimize the forces exerted by thrusters. These two objectives are the main contributions of the thesis. Kinematic, actuation and dynamic modeling of HCT-actuated UVMSs are first presented. The system is characterized not only by kinematic redundancy with respect to its end-effector, but also by actuation redundancy of the vehicle. Evaluation of forces capabilities with these redundancies is not straightforward and a method is presented to deal with such an issue. The impact of the supplementary cable actuation is validated through a comparative study to evaluate the force capabilities of an HCT-actuated UVMS with respect to its conventional UVMS counterpart. Evaluation of these capabilities is based on the determination of the available forces, taking into account the limits on actuation forces. A new method is proposed to determine the available force set. This method is based on the orthogonal projection of polytopes. Moreover, its computational cost is analyzed and compared with a standard method. Finally, a novel force resolution methodology is introduced. It assigns a higher priority to the cable actuation subsystem, so that the forces exerted by thrusters are minimized. Case studies are presented to illustrate the methodologies presented in this thesis
Eriksson, Tommie. "Parallel Hybridization of a Heavy-Duty Long Hauler." Thesis, Linköpings universitet, Fordonssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119884.
Full textMadireddy, 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.
Full textManning, Peter Christopher. "Development of a Series Parallel Energy Management Strategy for Charge Sustaining PHEV Operation." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/49436.
Full textMaster of Science
Lachhab, Nabil [Verfasser], Ferdinand [Akademischer Betreuer] [Gutachter] Svaricek, and Claus [Gutachter] Hillermeier. "Robust Controller Optimization: Application to a Parallel Hybrid Electric Vehicle (PHEV) / Nabil Lachhab ; Gutachter: Ferdinand Svaricek, Claus Hillermeier ; Akademischer Betreuer: Ferdinand Svaricek ; Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrttechnik." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2016. http://d-nb.info/1119824001/34.
Full textLachhab, Nabil Verfasser], Ferdinand [Akademischer Betreuer] [Svaricek, and Claus [Gutachter] Hillermeier. "Robust Controller Optimization: Application to a Parallel Hybrid Electric Vehicle (PHEV) / Nabil Lachhab ; Gutachter: Ferdinand Svaricek, Claus Hillermeier ; Akademischer Betreuer: Ferdinand Svaricek ; Universität der Bundeswehr München, Fakultät für Luft- und Raumfahrttechnik." Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2016. http://d-nb.info/1119824001/34.
Full textČech, Tomáš. "Zkoumání vlivu přítlaku na životnost olověných akumulátorů pro hybridní elektrická vozidla." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219873.
Full textDreier, Dennis. "Assessing the potential of fuel saving and emissions reduction of the bus rapid transit system in Curitiba, Brazil." Thesis, KTH, Energi och klimatstudier, ECS, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-176398.
Full textZemzami, Maria. "Variations sur PSO : approches parallèles, jeux de voisinages et applications Application d’un modèle parallèle de la méthode PSO au problème de transport d’électricité A modified Particle Swarm Optimization algorithm linking dynamic neighborhood topology to parallel computation An evolutionary hybrid algorithm for complex optimization problems Interoperability optimization using a modified PSO algorithm A comparative study of three new parallel models based on the PSO algorithm Optimization in collaborative information systems for an enhanced interoperability network." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMIR11.
Full textKnown for many years as a stochastic metaheuristic effective in the resolution of difficult optimization problems, the Particle Swarm Optimization (PSO) method, however, shows some drawbacks, the most studied: high running time and premature convergence. In this thesis we consider some variants of the PSO method to escape these two disadvantages. These variants combine two approaches: the parallelization of the calculation and the organization of appropriate neighborhoods for the particles. To prove the performance of the proposed models, we performed an experiment on a series of test functions. By analyzing the obtained experimental results, we observe that the proposed models based on the PSO algorithm performed much better than basic PSO in terms of computing time and solution quality. A model based on the PSO algorithm was selected and developed for an experiment on the problem of electricity transmission. A hybrid variant of this model with Simulated Annealing (SA) algorithm has been considered and tested on the problem of collaborative networks
Hwung, Zong-Shen, and 黃宗盛. "Fuel Economy Optimization of a Parallel Hybrid Electric Vehicle." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/4k38va.
Full text國立臺北科技大學
車輛工程系所
102
Due to the two power sources, the hybrid system has the advantage of low fuel consumption and low pollution, and so they are widely discussed. The hybrid systems have different hardware architectures, and varieties of control strategies have been developed. The object of the research is to optimize fuel consumption of Hybrid Electric Vehicle(HEV) with the Dynamic Programming(DP) method. This research uses parallel hybrid system, and the system is in accordance with Honda Civic Hybrid’s Integrated Motor Assist(IMA) system,which is modeled and simulated in Mathlab/Simulink environment. Then, the dynamic programming method is applied to the selected variable parameters within a set range to find the fuel optimal region. Finally, the optimization results are analyzed and discussed.
Won, Jong-Seob. "Intelligent energy management agent for a parallel hybrid vehicle." 2003. http://hdl.handle.net/1969/271.
Full textPai, Ping-Hao, and 白秉皓. "Transmission Systems Design and Analysis for Parallel Hybrid Electric Vehicle." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9gg74c.
Full text國立臺北科技大學
車輛工程系
106
The focus of this study is to research the influence of design matching between power integration mechanism and transmission system for single-motor parallel hybrid electric vehicle. This study using simulink/simscape environment to build the model of parallel hybrid electric vehicle powertrain system and by the influence of characteristic of power integration mechanisms, locations of gearbox at driveline, and design of gear ratio of gearbox. To investigate the matching design between torque-coupled power integration mechanisms and gearbox, which lets parallel hybrid vehicle has better efficiency and performance. This study mentions the matching design principle for torque-coupled type power integral mechanism parameters and location of gearbox, which bases on speed range of two power units. The design of torque-coupled type power integral mechanism parameters k_1 and k_2 are based on K ratio theory. Which can find out effective k values for torque-coupled type power integral mechanism and suitable locations of gearbox. By follow the simulations of driving cycles (EUDC) and acceleration test. The results show that higher K ratio has better power assist ability under pre-transmission architecture. For example, K ratio=1.6 can improve 8.5% power assist ability than K ratio=1. In proper gear ratio and K ratio design, top speed ability of vehicle can improve 9.3%, while in improper design, top speed ability of vehicle just improve 2.06%. Form simulation results, transmission system design would influence vehicle performance and use combine power of two power units for parallel hybrid vehicle. The design matching principle proposed in this study can find effective design range of torque-coupled type power integral mechanism parameters and gear ratio of gearbox. It can be used as a design reference theory for the transmission system of a parallel hybrid vehicle
KUO-PAO, LI, and 李國寶. "The Study of Control System for Parallel Hybrid Electric Golf Vehicle." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/48084611929606821252.
Full text大葉大學
車輛工程學系碩士班
93
ABSTRACT The main purpose of this study is the design of the hybrid golf vehicle control system, used the DC 36 V motor and a 150 c.c. water-cool internal combustion engine. The single chip is electronic control unit (ECU) is used to integrate hybrid power control system. The hybrid power system is divided into two models: model one is pure motor driving, another driving model combine motor with engine. The design of the electronic control system of electronic control unit (ECU) is divided into two parts: one part is controller such as master controller、 exciting current controller、 engine speed controller, anther part is monitor, such as engine speed monitor and vehicle speed monitor. To verify the control strategies of the hybrid golf vehicle control system, the Fuzzy Logic Control is used to finish this simulation work. The implementation of the exciting current controller and engine speed controller are use P controller. The master controller and other controllers have many input signals, such as battery voltage、 throttle valve position、 engine speed. The output signals are stepper motor signal and exciting current signal. Finally, through the power integrate mechanism can integrate the motor power and engine power.
Jin-Xing-Lin and 林晉興. "The Study of Electrical Energy System for Parallel Hybrid Golf Vehicle." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/04004391000171237729.
Full text大葉大學
車輛工程學系碩士班
93
The purpose of this study is to develop the electrical energy system for parallel hybrid golf vehicle. Because nowadays use in golf vehicle lead-acid battery all act for the hermetically style lead-acid battery, so that can not directly take advantage of lead-acid battery electrolyte specific gravity to estimation the hermetically style lead-acid battery state of charge. Dissertation to understand lead-acid battery characteristic, at first research aim for 12V/26Ah open style lead-acid battery, by means of by research open style lead-acid battery state of charge, let us towards lead-acid battery characteristic have certain acquaintance . Go on exist research object change for 12V/135Ah hermetically style lead-acid battery. Because hermetically style lead-acid battery discharge time of internal resistance with battery state of charge have close correlation, And then this dissertation then battery internal resistance makes research with unfasten to lead-acid, and direct to all sorts of lead-acid battery state of charge estimation means go to make unfasten, final this dissertation takes advantage of improve style internal resistance method estimation hermetically style lead-acid battery state of charge, because should battery material relation, we estimate the internal resistance and divide big and small current two part, overcome hermetically style lead-acid battery nature can not as specific gravity method estimation state of charge. Using LabVIEW to design parallel hybrid golf vehicle electrical energy system, use to PCI-6024E data extract card to extract 12V/135Ah hermetically style lead-acid battery signal, obturate signal by PCI-6024E biography to parallel hybrid golf vehicle electrical -venergy system. Let battery user can know battery's condition clearly, as avoid hermetically style lead-acid battery over discharge, damage to use life. And towards alternator output efficiency relation makes to exciting current, state of charge lack time at battery, can proceed charge to battery.
Anderson, Garrett Lance. "Simulation of a parallel hydraulic hybrid refuse truck." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4681.
Full texttext
Matlock, Jay Michael Todd. "Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles." Thesis, 2019. http://hdl.handle.net/1828/11484.
Full textGraduate
Frantzeskakis, Petros. "Design of a parallel-series hybrid electric vehicle using multi-objective optimization techniques." Thesis, 1994. http://spectrum.library.concordia.ca/69/1/MM97634.pdf.
Full textThuan, Truong Van, and 張文順. "The Control Strategy Development for Fuel Economy of a Parallel Hydraulic Hybrid Vehicle." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/50091347143889490568.
Full text大葉大學
機械與自動化工程學系
100
Hybrid Vehicle (HV) is a new technology in automotive industry. Hydraulic Hybrid Vehicles (HHVs) can participate in reducing fuel consumption and environmental protection. HHVs are purely based on hydraulic hybrid technology and hydraulic components which are used widely day by day. Hydraulic hybrid vehicle has some advantages which the other kinds of HV don’t have: high power density, not flammable, lightweight and so on. However, there are some limitations: low energy density, no power grid plug-in capability. Anyway, HHV should be considered as a good technology for fuel economy and environment. Based on Matlab/Simulink environment, especially the SimScape Toolbox inside, Parallel Hydraulic Hybrid Vehicle (PHHV) simulation model for the new system is developed in this thesis. The simulation models include all the main system components such as the vehicle, the oil tank, the accumulators, the hydraulic pump/motor and the internal combustion engine (ICE). The power management is implemented based on available hydraulic power and ICE’s power. The main purpose is to evaluate the average fuel economy for the HHV with the added hydraulic hybrid system, then to establish the control strategy development for fuel economy of a PHHV. The models are tested basing on the urban driving cycles. The simulations results with various driving cycles and control strategies have shown significant improvement in the fuel economy for the constructed model of PHHV.
Lai, Lin. "A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle." Thesis, 2013. http://hdl.handle.net/1969.1/149289.
Full text(5930885), Mingyu Sun. "ARTIFICIAL NEURAL NETWORKS CONTROL STRATEGY OF A PARALLEL THROUGH-THE-ROAD PLUG-IN HYBRID VEHICLE." Thesis, 2019.
Find full textThe increasing amounts of vehicle emissions and vehicle energy consumption are major problems for the environment and energy conservation. Hybrid vehicles, which have less emissions and energy consumption, play more and more important roles in energy efficiency and sustainable development.
The power management strategies of a parallel-through-the-road hybrid architecture vehicle are different from traditional hybrid electric vehicles since one additional dimension is added. To study power management strategies, a simplified model of the vehicle is developed. Four types of power management strategies have been discovered previously based on the simplified model, including dynamic programming model, equivalent consumption minimization strategy, proportional state-of-charge algorithm, and regression model. A new power management strategy, which is artificial neural network model, is developed. All these five power management strategies are compared, and the artificial neural network model is proven to have the best results among the implementable strategies.
"Supervisory Control Optimization with Sequential Quadratic Programming for Parallel Hybrid Vehicle with Synchronous Power Sources." Master's thesis, 2017. http://hdl.handle.net/2286/R.I.44420.
Full textDissertation/Thesis
Masters Thesis Engineering 2017
Kaban, Stefan. "Performance Modeling and Benchmark Analysis of an Advanced 4WD Series-Parallel PHEV Using Dynamic Programming." Thesis, 2015. http://hdl.handle.net/1828/5992.
Full textGraduate
0540
snkaban@gmail.com
Lin, Cheng-Hsun, and 林政勳. "Using fuzzy control for the energy management strategy of plug-in biaxial parallel hybrid electric vehicle." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/49066278122947365913.
Full text國立臺灣大學
機械工程學研究所
102
The goal of this research is establishing an energy management strategy for plug-in biaxial parallel hybrid electric vehicle. For this HEV structure has four degree of freedom with engine, generator, traction motor, transmission, so it is very complex. This research uses the optimal method to find up the optimal operation area for each power system, and using the optimal result to building the hierarchical control strategy to reduce the complexity. The hierarchical control strategy is transmission control, torque split control, generator control sequentially, and using fuzzy logic control to make the switch among modes more smoothly, and reducing the loading for the hybrid system. Finally, Using the consideration of the desire distance make PHEV more excellent. In this search, establishing the hybrid electric vehicle model base on Luxgen SUV 7 by Matlab/Simulink, and identify the ICE model by the experiment data to make the method of the model building. Using this model to simulating the energy management strategy, then this research will investigate the advantage and disadvantage of this strategy by different test.
Sun, Yun-Chung, and 孫允中. "Energy Management Strategy of Plug-in Series Parallel Hybrid Electric Vehicle Composed of Multiple Power Components." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/13517914280687731780.
Full text國立臺灣大學
機械工程學研究所
104
This research is about establishing an energy management strategy which aims to enhance efficiency of energy consumption and performance of plug-in series parallel hybrid electric vehicle. There are many power components in this PHEV structure like engine, ISG and high power permanent magnet motor in the front axial, and high power induction motor in the rear axial. The power components are matched with single reduction ratio gear, clutch, or transmission specifically to make PHEV structure a high degree freedom system. First, this research evaluates and analyzes the PHEV powertrain structure, then distributes what the energy management strategy (EMS) should do. Later on, the EMS according to the tasks would be modularized. The function module includes Component Capacity Calculate module, Vehicle Torque Demand module, Function State module, Gearbox Control module, Torque Split module, and Torque Charging module. In consideration of driver''s requirement and status of vehicle, the proposed flow can utilize these function modules to seek the optimal combination of power components while reaching high efficiency. In this research, we utilize Matlab, Simulink, Stateflow to develop the EMS and dSPACE ASM, Matlab, Simulink to develop the PHEV vehicle model. Integration of the EMS and the vehicle model is implemented under Model in the Loop simulation. Result of the simulation is analyzed while further advantages and disadvantages of the EMS designed in this research is dicussed.
Prescott, Daniel. "Development and Implementation of Control System for an Advanced Multi-Regime Series-Parallel Plug-in Hybrid Electric Vehicle." Thesis, 2015. http://hdl.handle.net/1828/6590.
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(8803250), Akshay Amarendra Kasture. "A power management strategy for a parallel through-the-road plug-in hybrid electric vehicle using genetic algorithm." Thesis, 2020.
Find full textHutcheson, Ryan S. "Function-based Design Tools for Analyzing the Behavior and Sensitivity of Complex Systems During Conceptual Design." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-682.
Full textIvan, Lucian. "Development of High-order CENO Finite-volume Schemes with Block-based Adaptive Mesh Refinement (AMR)." Thesis, 2011. http://hdl.handle.net/1807/29759.
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