Dissertations / Theses on the topic 'Véhicule Hybride Électrique à Pile à Combustible'
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Hankache, Walid. "Gestion optimisée de l'énergie électrique d'un groupe électrogène hybride à pile à combustible." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2008. http://tel.archives-ouvertes.fr/tel-00567577.
Full textThounthong, Phatiphat. "CONCEPTION D'UNE SOURCE HYBRIDE UTILISANTUNE PILE A COMBUSTIBLE ET DESSUPERCONDENSATEURS." Phd thesis, Institut National Polytechnique de Lorraine - INPL, 2005. http://tel.archives-ouvertes.fr/tel-00083105.
Full textsupercondensateurs, destiné à fonctionner dans un véhicule à pile à combustible sont
présentés dans cette thèse. Deux modes de commande sont détaillés. Leur but est de permettre
un fonctionnement en quasi-statique de la pile à combustible afin de limiter les contraintes
mécaniques sur la pile en accordant les débits de gaz à la demande en courant. Les
supercapacités interviennent lors du non-fonctionnement de la pile, lors de régimes
transitoires ou de régimes de récupération.
Le dispositif développé utilise deux modules de supercapacités SAFT. Il est connecté à un bus
continu 42 V par un convertisseur continu-continu deux quadrants, la pile à combustible étant
connectée au bus continu par un convertisseur élévateur. Le contrôle des courants est réalisé
de manière analogique. Le contrôle des tensions et les algorithmes d'estimation utilisent une
carte numérique dSPACE. Les résultats expérimentaux présentés, obtenus avec une pile de
500 W, ont souligné la lenteur naturelle des réponses de la pile à combustible et l'apport des
supercapacités pour des applications automobiles. Celles-ci améliorent grandement la
dynamique et le contrôle énergétique du système.
Zhou, Yang. "Predictive energy management for fuel cell hybrid electric vehicle." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA020.
Full textFuel cell electric vehicles have been widely deemed as the promising substitution against traditional internal combustion engine-based vehicles. To reduce the vehicular operating costs, a practical solution at current stage is to efficiently and healthily use the hybrid propulsion systems. Such task can be fulfilled via reliable energy management strategies, which coordinate the outputs of multiple energy sources to satisfy the vehicular power request.In such context, this PhD thesis intends to devise intelligent energy management strategies for fuel cell hybrid electric vehicles. Compared to existing control strategies, this thesis especially focuses on the possibility of combining the forecasted driving information with the real-time optimal control framework. Several driving prediction techniques are developed to estimate the upcoming driving conditions, like the vehicle’s speed, battery state-of-charge reference and driving pattern information. Thereafter, model predictive control is selected for real-time decision-making, since it is capable of handling the time-varying constrained systems and is convenient for the integration of driving predictive information. Based on the forecasted results and model predictive control, several predictive energy management strategies are established, aiming at saving hydrogen consumption and enhancing fuel cell durability versus benchmark strategies.Both offline simulation and software-in-the-loop testing have verified the functionality and real-time suitability of the proposed strategies
Henao, Nilson. "Stratégie pour le démarrage à froid d'une pile à combustible à membrane d'échange de protons dans un véhicule électrique hybride." Thèse, Université du Québec à Trois-Rivières, 2013. http://depot-e.uqtr.ca/7298/1/030621772.pdf.
Full textTritschler, Philip. "Optimisation de l'architecture électrique et gestion d'énergie pour un système à pile à combustible embarquée dédiée à l'application agricole." Phd thesis, Université de Grenoble, 2010. http://tel.archives-ouvertes.fr/tel-00565680.
Full textNeffati, Ahmed. "Stratégies de gestion de l'énergie électrique d'un système multi-source : décision floue optimisée pour véhicule électrique hybride." Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2015/.
Full textThe energy management of hybrid electric vehicles (VHE) has been a major scientific effort in recent years. In addition, the power required in a (VHE) must be managed online within the constraints of charge and available energy. We are particularly interested in our work to the energy management of a hybrid vehicle, the problem is the instantaneous distribution of the electric power required through the two energy sources as much as possible by optimizing the overall consumption hydrogen on a given mission profile. We start in the first phase of study the characterization of mission profiles with the aim to find characterization tools that will help us to choose the laws of commands that are part of a process of energy management online. In the second study phase, energy strategies that rely on frequency management management techniques have been developed. Then we present a method for power management in line based on fuzzy rules, this method has been improved by the application of a method of fuzzy switching. This strategy leads the fuel cell to operate at best efficiency point. It has been verified that if this method is applied to an unknown online profile, the consumption obtained is near optimal
Bernard, Jérôme. "Véhicules hybrides à pile à combustible : dimensionnement et stratégies de commande." Phd thesis, Université de Valenciennes et du Hainaut-Cambresis, 2007. http://tel.archives-ouvertes.fr/tel-00271090.
Full textBendjedia, Bachir. "Gestion et optimisation d’énergie électrique avec tolérance aux défauts d’un système hybride PàC/ batterie." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS229.
Full textThe work of this thesis is part of a theme that concerns the optimal sizing and energy management resilient to the faults of a multi-source system (hybrid) for the power supply of an electric vehicle. In our case, the storage system consists of a fuel cell as the main source and a secondary source based on a Li-ion battery. The study carried out on the sizing shows the interest of the hybridization compared to a mono-source single battery or fuel cell only system. The interest of this hybridization in terms of weight, volume and cost becomes more and more important by increasing the autonomy of the vehicle. After scaling the hybrid source for a 700 km drive range, we investigated the influence of battery technology and management methods on the performance of the source (volume, mass, cost, electrical stress applied to the components and the hydrogen consumption of the Fuel Cell / Battery system).The sizing part is followed by the development of an original energy management strategy based on the state of charge of the battery (SOC) to adapt the operating limits of the fuel cell. The results obtained with this method are compared with two other online energy management strategies namely, the frequency division method and the use of a fuzzy supervisor. The strategy developed gave good experimental results in terms of constraints seen by cells and hydrogen consumption. Despite a good sizing of the on-board source and a good optimization of the energy management method, the system is not immune from the fault and can be the seat of several faults that can appear at voltage sensors. and current. In order to ensure the service continuity of the hybrid system in the presence of these faults, a fault-tolerant control strategy has been developed in order to guarantee the stability of the hybrid Fuel Cell/ Battery system and to ensure acceptable performance in degraded mode
Yue, Meiling. "Contribution of developing a prognostics-based energy management strategy for fuel cell hybrid system - application to a fuel cell/battery hybrid electric vehicle." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCD029.
Full textFuel cell hybrid propulsion system is gaining momentum in today's automotive market and offers a sustainable solution for the world climate change in the transport sector. However, the durability and reliability of the power sources used in the hybrid system are the inevitable obstacles for its massive commercialization. To optimize and maximize the lifespan of the hybrid system, a prognostics and health management (PHM) approach is deployed to manage and mitigate the power source degradation behaviour and applied to a fuel cell hybrid electric vehicle.In this context, two main contributions are made. The first stage is to deploy a prognostics method that can be used in the hybrid system. Particle filtering, as a commonly used state estimation method, is adapted for prognostics purpose in this thesis. It is used to handle the imprecise and uncertain degradation data and estimate the remaining useful life. The method is validated by historical fuel cell and battery datasets and the results are evaluated by the designed prognostics metrics.Subsequently, a second stage on the health management aspect of PHM is proposed. As the split of demanded power in a hybrid system is managed by an energy management strategy (EMS), the orientation of this stage is to develop a health-conscious EMS in the context of PHM. A great quantity of researches on prognostics with finished experimental data have been found in the literature, while how to use the prognostics results to make corrective control actions is rarely discussed. To help against this vacancy in hybrid system applications, a prognostics-enabled decision-making process is designed. The performance is evaluated by quantifying the degradation and the lifetime of the system in a simulated environment and a discussion on prognostics occurrence is launched for further investigations on maintenance
Chauvin, Alan. "Contribution à l'optimisation globale pour le dimensionnement et la gestion d'énergie de véhicules hybrides électriques basée sur une approche combinatoire." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0101/document.
Full textHybridization of power sources for embedded applications becomes an interesting solution to respect environmental legislation and achieve a higher energy efficiency. However, the choice for components sizing and the energy management strategy need to meet specifications while reducing costs. To solve this optimization problems including several types of variables can be complex because of non linearities included in the formulated problem. Therefore the use of effective solving tools, able to provide a reliable solution, is required. In this thesis, a global optimization method is proposed for the design and the optimal control of hybrid vehicles based on combinatorial optimization, particularly on integer linear programming. From a non-linear optimization problem, the initial problem is reformulated into a multitude of integer linear sub-problems for which a parallel Branch & Bound algorithm is executed. In order to solve large-scale problems, a second algorithm based on the Branch & Cut is developed. This method is used for the study of a hybrid power supply system of a mini-excavator electric. The optimization problem, where energy constraints and aging constraints are implemented, is evaluated according to several parameters and specifications. Finally, this approach is also applied for the optimization of trajectories for a synchronized multi-actuators system
Carlos, Da Silva Daniel. "Development of a closed-form modeling methodology for the subsystems of electric vehicles : optimization of energy performance." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST014.
Full textTo maximize the contribution of hybrid electric vehicles (HEV) to the decarbonization of the transportation sector, it is essential to maximize their energy performance during the design phase. However, the additional power pathways to propel the vehicle act both as an advantage and an added layer of complexity. Indeed, evaluating the consumption of an HEV requires defining a supervisory control, known as Energy Management Strategy (EMS). Therefore, optimizing the design entails combining a static optimization problem (system's plant) with a time-dependent problem (its control), both of which must be considered in tandem.This plant/control co-optimization is typically tackled through either nesting optimal control algorithms within each iteration of a general optimization algorithm for the plant, or employing convex optimization to simultaneously optimize both layers. However, the former approach is known to be limited by computational constraints, while the latter may impact modeling fidelity due to convexity constraints.As a different perspective, this thesis introduces a methodology for developing explicit models to estimate powertrain energy consumption, referred to in this work as the Explicit Powertrain Consumption Model (EPCM). They are developed using component models to account for power losses, then by introducing a second modeling level to consider the impact of sizing variations on loss estimation. Such a formulation can be used as a computationally efficient objective function of an optimization problem that remains static, while enabling human-explainable analysis for reduced problems.The thesis presents the methodology development while using a Fuel Cell Hybrid Electric Vehicle (FCHEV) as a reference vehicle. Besides modeling components commonly found in electric vehicles, it includes a model for the fuel cell system, while further considering models for the power electronics, often overlooked in vehicle design studies. It first introduces the considered component models, then the models for the sizing variation (i.e., the predictive models), before developing the EPCMs and using them for the co-optimization.The validation of the component models using a Toyota Mirai~II on a roller test bench presents an overall error of less than five percent, while the study to assess the impact of the predictive models on the hydrogen consumption resulted in errors below two percent when compared to reference models. Then, an assessment of the usage of EPCMs explores the assumptions required to ensure an explicit formulation; and the co-optimization of the Mirai~II powertrain shows that an EPCM using an affine EMS can be a fair approximation for the co-optimization at the vehicle's first design stages, while reducing the evaluation time by a factor of 100. This study is further extended with reduced problems to observe the impact of the EM sizing only, then of the hybridization level, resulting in linear and quadratic expressions for the fuel consumption and the optimization constraints, which can be used to quickly derive analyses of the vehicle's energy performance.Although the results show that the current state of the methodology can be used for the co-optimization of FCHEVs, the thesis further explores its improvement points and suggests alternative applications to solidify its validity and relevance
Jiang, Qi. "Gestion énergétique de véhicules hybrides par commande optimale stochastique." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLS011/document.
Full textThis thesis presents a comparative study between four recent real-time energy management strategies (EMS) applied to a hybrid electric vehicle and to a fuel cell vehicle applications: rule-based strategy (RBS), adaptive equivalent consumption minimization strategy (A-ECMS), optimal control law (OCL) and stochastic dynamic programming (SDP) associated to driving cycle modeling by Markov chains. Pontryagin’s minimum principle and dynamic programming are applied to off-line optimization to provide reference results. Implementation and parameters setting issues are discussed for each strategy and a genetic algorithm is employed for A-ECMS calibration.The EMS robustness is evaluated using different types of driving cycles and a statistical analysis is conducted using random cycles generated by Markov process. Simulation and experimental results lead to the following conclusions. The easiest methods to implement (RBS and OCL) give rather high fuel consumption. SDP has the best overall performance in real-world driving conditions. It achieves the minimum average fuel consumption while perfectly respecting the state-sustaining constraint. A-ECMS results are comparable to SDP’s when using parameters well-adjusted to the upcoming driving cycle, but lacks robustness. Using parameter sets adjusted to the type of driving conditions (urban, road and highway) did help to improve A-ECMS performances
Ravey, Alexandre. "Conception et gestion de l'énergie des architectures pour véhicules hybrides électriques." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2012. http://tel.archives-ouvertes.fr/tel-00863541.
Full textThounthong, Phatiphat. "Conception d'une source hybride utilisant une pile à combustible et des supercondensateurs." Vandoeuvre-les-Nancy, INPL, 2005. http://docnum.univ-lorraine.fr/public/INPL/2005_THOUNTHONG_P.pdf.
Full textThe design and testing of a purely supercapacitor energy storage device as auxiliary power source in electrical vehicle applications having a PEM fuel cell as main source are presented. Two control strategies are explained to operate in almost steady state conditions in order to lessen the mechanical stresses of fuel cell and to ensure a good synchronization between fuel flow and fuel cell current. Supercapacitors are functioning during absence of energy from fuel cell, transient energy delivery or transient energy recovery. The system utilizes two modules of supercapacitive storage device connected to the DC bus by a 2-quadrant dc/dc converter. The system structure is realized by analogical current loops and digital control for voltage loops and estimation algorithms. Experimental results with a 500 W PEM fuel cell point out the slow dynamics of fuel cell, and also substantiate that the supercapacitors can improve dynamics and power conditioning for automotive electrical system
Sandoval, torres Cinda Luz. "Contrôle d’une source d’énergie hybride : Pile à combustible-Supercondensateur." Thesis, Paris, ENSAM, 2016. http://www.theses.fr/2016ENAM0067/document.
Full textEnergy generation from fossil fuels combustion is predicted to have severe future impacts in the world’s economy and ecology. Fuel cells and supercapacitors are an alternative power source, environmentally friendly.This dissertation presents a regulation architecture developed to coordinate a hybrid renewable source for typical solicitations of electric vehicles in a scaled operating range of 1 kW. The hybrid system is composed of a Polymer Electrolyte Membrane (PEM) fuel cell module, a supercapacitors bank and their respective power conditioning units. In order to optimize the overall operation, the proposed strategy is organized into three hierarchical levels, and the power demand for each energy source is determined in real time with a basis on a frequency distribution and a cutoff frequency, defined in accordance with the dynamical capabilities of the sources.Even if numerous researches have been reported on the subject, few studies have taken into account the proper dynamics of each source in order to optimize the global performance of the hybrid power supply.The goal of this work is to implement a complete simulator integrating not only dynamical models of each energy source, but also dynamical models of the power conditioning units. The control strategy consists of nested loops, arranged in three functional levels of hierarchy. The central idea is to find the optimal set point for each energy source, according to their own physical properties. Contrary to the existing control strategies, this strategy dynamically calculates the appropriate power demand for each energy source. Due to the complexity of the system, cascade control loops are proposed, organized into blocks, according to the system functionality and dynamics.A functional simulation is obtained, where the system ensures the adequate supercapacitor state of charge and soft current demands to keep the fuel cell working in its safe operating region. Thus, lower fuel consumption and rapid response to load demands are guaranteed to improve efficiency.Results demonstrate that the control strategy allows the regulation of the DC bus voltage under UDDS and ECE-15 driving cycles as load profiles. The fuel cell works within its maximum efficiency region, without falling in the degradation zone. In addition, the supercapacitor state of charge remains within the recommended range
Candusso, Denis. "Hybridation du groupe électrogène à pile à combustible pour l'alimantation d'un véhicule électrique." Grenoble INPG, 2002. http://www.theses.fr/2002INPG0111.
Full textMaker, Hattab. "Optimisation et gestion d'énergie pour un système hybride : association pile à combustible et supercondensateurs." Besançon, 2008. http://www.theses.fr/2008BESA2031.
Full textThis thesis deals with contribution to problem solving of power management in fuel cell vehicle. This vehicle is equipped with a fuel cell PEMFC, used as the main source and a supercapacitors module as an auxiliary source. The adaptation levels of the voltage between sources and load in the vehicle requires two DC-DC converters, the first is a Boost, the second is a Buck / Boost, to regulate the DC link voltage and to impose the power required by the load. With an aim of establishing an optimal control of the power management in fuel cell vehicle. It is to calculate the reference power of the supercapacitors which minimizes energy provided by the fuel cell, starting from the power demanded from the load (motorization and auxiliaries). This control law must take into account the constraints imposed on the system. These constraints relate to the limitation of the power of the fuel cell and its dynamic response. The power management in fuel cell vehicle allow to determine the reference supercapacitors pack current trajectory which is regulated by sliding mode control via the bidirectional DC-DC converter. The dc link voltage is regulated also by sliding mode control via the unidirectional DC-DC converter
Benmouna, Amel. "Gestion énergétique reconfigurable d'un véhicule électrique basée sur l'identification en ligne des sources embarquées." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA020.
Full textThis thesis deals with the study of the reconfigurable energy management of an electric vehicle based on the online identification of embedded sources. In recent years, the energy management of a hybrid system for automotive applications has been the subject of a great number of research. In this study, the energy chain considered consists of a fuel cell as the main source, storage sources such as batteries and/or supercapacitors, converters for each source and finally a load emulating the power demand. Indeed, the problem in hybrid systems is to find a strategy for a better distribution of electrical power between the different embedded sources, which is the added value of this research work. As well as defining energy management laws by considering real-time measurements in order to increase the lifespan and reliability of sources on the one hand, and the availability of the electric vehicle on the other hand. In this thesis, the nonlinear control called IDA-PBC (Interconnection and Damping assignment-Passivity Based Control) is used with the PCH (Port Controlled Hamiltonian) structure which allows to present structural properties of the system namely total system energy, damping and state interconnections. The IDA-PBC method is a powerful nonlinear technique, it is considered as a general means to stabilize a large class of physical systems. In a second part of this work, an optimal energy management strategy is proposed for the hybrid system under study, which is the combination of IDA-PBC and Hamiltonian's Jacobi Bellman method. Proof of stability is provided and the effectiveness of the proposed strategy is demonstrated. Several experimental validations are presented
Garnit, Sadok. "Etude d'un système de génération d'électricité comportant une pile à combustion PEM et un générateur d'hydrogène pour la voiture électrique." Paris, ENMP, 2002. http://www.theses.fr/2002ENMP1118.
Full textDelime, Fabien. "Etude d'électrocatalyseurs dispersés à base de platine pour l'oxydation de l'éthanol en vue d'une application à une pile à combustible pour le véhicule électrique." Poitiers, 1997. http://www.theses.fr/1997POIT2350.
Full textCastaings, Ali. "Gestion d’énergie de véhicules multi-sources électriques et hybrides au travers de la représentation énergétique macroscopique." Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10025/document.
Full textRoad vehicles are at a turning point of their history. In order to face economic and environmental challenges, road vehicle of the future must be less energy-consuming and less polluting. Multi sources vehicles represent interesting solutions in order to comply with these challenges. However, these vehicles use particularly complex propulsion systems, both on the architecture level and the control level. The management of the different energy sources represents a key issue for the energy efficiency of the vehicles to be designed. It becomes a real challenge as soon as one exceeds the usual number of two sources, as in current hybrid vehicles and mixed electric vehicles (battery and supercapacitors). The objective of the works relative to this thesis is to propose a structured method for the synthesis the energy management in real time, of electric or hybrid multi-sources vehicles. This approach is based on a systemic approach using the modeling and Energetic Macroscopic Representation (EMR) as a tool of assistance to the synthesis of the models and the related control. A systematic way for the synthesis of the strategies based on optimal control, has been associated benefitting from EMR tool. Indeed, EMR respecting “physical” causality (integral causality) on the one hand, and giving a clear distinction between the control level known as “local” and the “strategy” level on the other hand, the formulation of the optimal control problem is carried out and efficiently structured. Thus, on the basis of the electric vehicle case with a multi-source system battery/supercapacitors already studied in the literature, the method was applied for the synthesis of an energy management law based on the optimal control. Then, sources were added to pass to the case of three sources by including a Fuel cell, then four sources by adding a generator set. The developed principles are validated by simulation and experimental tests, in order to assess the feasibility in real time of the developed strategies
Collong, Sophie. "Conception des systèmes mécaniques complexes en comportement dynamique. Contribution à une démarche physico-fiabiliste à partir d'un système à pile à combustible pour véhicule électrique à hydrogène." Thesis, Belfort-Montbéliard, 2016. http://www.theses.fr/2016BELF0283/document.
Full textThe integration of complex mechanical systems subject to stringent vibration environments requiresconsideration of the real conditions of use from the beginning of the design phase.The thesis shows that the vibration environment and the duration of exposure to this environmentdepend on the use of the system throughout its life cycle. The evaluation of its use is based on thejoint evolution of both the user behavior and the system technology development.The dependability analysis of a complex mechanical system leads to consider the system as a wholeand thus to investigate in depth the dynamic behavior of critical components. A basic modeling ofthe mechanical system allows to qualitatively and quantitatively identify key dynamic behaviors anddetermines the vibration loads to which selected critical components are subjected. On this basis,modeling the behavior of a mechanical component leads to assess its fatigue damage. This indicatorhelps the designer in his choice of component geometry.Finally, the climatic environment as well as effects related to the internal functioning of the system,have been taken into account by performing vibro-climatic tests of on an operating systems, i.e. a fuelcell system integrated into a hydrogen electric vehicle. This helped to develop a procedure to supportthe design of complex mechanical systems
Guilbert, Damien. "Tolérance aux défauts et optimisation des convertisseurs DC/DC pour véhicules électriques à pile à combustible." Thesis, Belfort-Montbéliard, 2014. http://www.theses.fr/2014BELF0245/document.
Full textOver the last years, reliability and continuity of service of powertrains have become major challenge so that the fuel cell electric vehicles (CFEV) can access to the mass automotive market. Indeed, the presence of faults in powertrains can lead up to malfunctions in the vehicle and consequently reduce its performances compared with conventional vehicles. In the case of electrical faults, powertrains of FCEV have to include fault tolerant topology and/or control for the different DC/DC and DC/AC converters. Within the framework of this research work, the study is focused on DC/DC converter combined with a Proton Exchange Membrane Fuel Cell (PEMFC). The DC/DC converter must respond to challenging issues in FCEV applications such as: low weight and small volume, high energy efficiency, fuel cell current ripple reduction and reliability. Basing on a thorough bibliographical study on non-isolated and isolated DC/DC converter topologies, an interleaved DC/DC boost converter has been chosen, meeting the FCEV requirements.The purpose of this thesis has then consisted in sizing and controlling the chosen fault-tolerant DC/DC converter topology for FCEVs. Algorithms for degraded mode management of this converter have been developed and implemented experimentally. As such, the interaction between PEMFC and interleaved DC/DC boost converter has been investigated. A theoretical approach, simulation and experimental results have been carried out to complete this work
Gailly, Frédéric. "Alimentation électrique d'un site isolé à partir d'un générateur photovoltaïque associé à un tandem électrolyseur/pile à combustible (batterie H2/O2)." Phd thesis, Toulouse, INPT, 2011. http://oatao.univ-toulouse.fr/11527/1/Gailly_Frederic.pdf.
Full textKong, Suyao. "Advanced passivity-based control for hybrid power systems : application to hybrid electric vehicles and microgrids." Thesis, Bourgogne Franche-Comté, 2020. http://indexation.univ-fcomte.fr/nuxeo/site/esupversions/a01b06c5-fb6c-452d-bd16-02b269cd0bb9.
Full textA Fuel cell (FC) hybrid power system is a promising solution to deal with the atmospheric pollution and fossil fuels shortage problems. This thesis focuses on the controller design for FC hybrid power systems, towards two applications: the hybrid electrical vehicle and the microgrid-powered datacenter.Firstly, this thesis proposes an advanced passivity-based control for a FC/super-capacitors (SCs) hybrid system. In order to solve the converters coordination problem, a controller designed using the design method Interconnection and Damping Assignment - Passivity-Based Control (IDA-PBC) is applied, which considers the state-of-charge of the SCs as well as voltage and current limitations. The proposed controller is validated on a Power Hardware-in-the-loop (PHIL) platform. Then an Extended Kalman Filter (EKF) is applied to forecast the State-of-Health (SoH) of the fuel cell and is combined with the proposed controller. Finally, a Hardware-in-the-loop (HIL) platform based on an INTEL/ALTERA FPGA is designed in order to validate the real-time operation of the algorithms for a specific case study with a commercial vehicle.For microgrid applications, a passivity-based controller for a hybrid power supply system for a green datacenter is proposed, including photovoltaic panels, a fuel cell, SCs and an electrolyzer. The feasibility of this non-linear controller is proven by the simulation results and experimental validation on a PHIL test bench. This work is integrated into the ANR DATAZERO project.The main novelty of the proposed controller is that it integrates some component constraints directly into the controller equations, while the locally asymptotic stability of the whole closed-loop system is preserved
Ceschia, Adriano. "Méthodologie de conception optimale de chaines de conversion d’énergie embarquées." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST023.
Full textThe research work proposed in this thesis falls within the context of embedded systems electrification with the development of a new hybrid power conversion chain, with new energy sources and powertrains. These systems offer many degrees of freedom regarding both the devices parameters and the tuning values of the associated control laws. The relevant (technico-economic) optimization of these complex power chains relies on the ability of the best-set algorithm to combine simultaneously the main parameters and the technological constraints of each component, the uncertain environmental conditions faced during areal use and finally the control algorithms as well as the global energy management. Their performances are based on the capacity of the design approaches to consider the real environment multiphysic constraints, the adequacy of the technologies, the topologies and the control laws, allowing to integrate and to associate effectively their constituents. In this context, this research work aims at developing tools and methods allowing the optimization of the power architectures and their components (hybrid energy conversion) by integrating in the design process the control-command and the energy management aspects. They consider a use case based on hybrid Fuel cell / Battery power system.For this purpose, a new nested methodology for complex system is been suggested. It enables to tackle large search spaces and considers different performance indexes (energy saving, reliability and volume). It simultaneously tunes and designs the energy management and component sizing by optimizing the main powertrain parameters while respecting the specifications. Technically, it uses two nested loops, combining the particle swarm optimization (PSO) technique’s performance and the rapid optimal control algorithm. This strategy addresses vast search spaces, achieves faster convergence to the global optimal integer design solution, and provides a good accuracy and robustness. In order to consider the randomness feature of real driving cycle (stochastic characteristic), a real time energy management strategy (EMS) was introduced based on an extension of the design approach, which increases its availability. By using machine-learning technique, an estimation of the current driving mode is developed and permits to guide the online energy management system
Solano, Javier. "Modélisation et supervision des flux énergétiques à bord d'un véhicule hybride lourd : approche par logique floue de type-2." Phd thesis, Université de Franche-Comté, 2012. http://tel.archives-ouvertes.fr/tel-00699896.
Full textZhou, Tao. "Commande et supervision énergétique d'un générateur hybride actif éolien incluant du stockage sous forme d'hydrogène et des super-condensateurs pour l'intégration dans le système électrique d'un micro réseau." Phd thesis, Ecole Centrale de Lille, 2009. http://tel.archives-ouvertes.fr/tel-00474041.
Full textZhou, Tao. "Commande et supervision énergétique d’un générateur hybride actif éolien incluant du stockage sous forme d’hydrogène et des super-condensateurs pour l’intégration dans le système électrique d’un micro réseau." Thesis, Ecole centrale de Lille, 2009. http://www.theses.fr/2009ECLI0010/document.
Full textA hybrid power system is studied in this thesis for the distributed generation based on renewable energy resources and energy storage systems in microgrid applications. It consists of a wind generator as primary energy source, super-capacitors as fast-dynamic storage system, fuel cells and electrolyzers as long-term storage system in hydrogen. They are all connected to a common DC bus and an inverter is used for the connection of the whole system to the grid. In this thesis, we have presented the system modeling, the control design including the power balancing and energy management strategies. This hybrid power system can finally supply controllable smooth powers as most conventional power plants. The performances have been tested in numerical simulations and also on an experimental test bench. As result, it is able to provide ancillary services to the microgrid. The main scientific contributions of this thesis are: the use and the adaptation of the graphical tools for the modeling of complex systems and their design; the design and the experimental implementation of real-time emulators in order to reduce the time and the cost of an experimental platform; the proposition and the validation of two power balancing strategies for the DC-bus voltage regulation and the grid power control and finally the proposition of energy management strategies for the active wind generator to ensure the energy availability
Zandi, Majid. "Contribution au pilotage des sources hybrides d’énergie électrique." Thesis, Vandoeuvre-les-Nancy, INPL, 2010. http://www.theses.fr/2010INPL071N/document.
Full textThis thesis deals with the control of electrical hybrid system. The main sources consist in an association of photovoltaic and fuel cell system. The secondary sources are a bank of batteries and a bank of supercapacitors. The sizing of secondary sources is realized to manage the power during the transient state and provide extra energy when the power of main sources is insufficient in steady state. The main sources provide the essential energy of the electrical hybrid system during steady state. The control of energy flows and power tracking used in this thesis are based on the flatness technique. This control system allows obtaining high dynamic properties in the power tracking and the regulation of system. The supervisor for sharing the power between the different storage devices is realized thanks to a fuzzy logic controller. This controller ensures that the bank of supercapacitors with its interface converter is used as a power filter and provides the energy in transient states. However, the bank of batteries provides or absorbs the energy in longer periods especially during recovery or overload modes
Wang, Hanqing. "Design and control of a 6-phase Interleaved Boost Converter based on SiC semiconductors with EIS functionality for Fuel Cell Electric Vehicle." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCA009/document.
Full textThe objective of this thesis work is devoted to the design and control of a DC/DC boost converter for Fuel Cell Electric Vehicle (FCEV) application. A 6-phase Interleaved Boost Converter (IBC) based on Silicon Carbide (SiC) semiconductors and inversed coupled inductors of cyclic cascade structure is proposed. The input current ripple is reduced significantly and the lifespan of Polymer Electrolyte Membrane Fuel Cell (PEMFC) can be extended. Low power losses, good thermal performance and high switching frequency have been gained by the selected SiC-based semiconductors. The volumes of passive components (inductors and capacitors) are reduced. Thanks to the inverse coupled inductors, the core losses and copper losses are decreased and the compact magnetic component is achieved.Sliding-Mode Control (SMC) strategy is developed due to its high robust to parameter variations. on-line Electrochemical Impedance Spectroscopy (EIS) detection functionality is successfully integrated with SMC. No additional equipment and sensor is required.The real-time Hardwar In the Loop (HIL) validation of the proposed converter is achieved by implement the power part into the FPGA and the control into the microprocessor in the MicroLabBox prototyping system from dSPACE. The comparison between off-line simulation and HIL validation demonstrated the dynamic behavior of the proposed converter and validated the implementation of the control into a real time controller before future tests on experimental test bench
Solano, Martinez Javier Enrique. "Modélisation et supervision des flux énergétiques à bord d'un véhicule hybride lourd : approche par logique floue de type-2." Phd thesis, Université de Franche-Comté, 2012. http://tel.archives-ouvertes.fr/tel-00947626.
Full textLi, Huan. "Energy consumption minimization strategy for fuel cell hybrid electric vehicles." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCA034/document.
Full textGlobal warming, environment pollution and exhaustion of petroleum energies have risen their attention of the humanity over the world. Fuel cell hybrid electric vehicle (FCHEV) taking hydrogen as fuel and have zero emission, is thought by public and private organisms as one of the best ways to solve these problems. This PhD dissertation consider a FCHEV with three power sources: fuel cell, battery and supercapacitor, which increases the difficult to design an energy management strategy (EMS) to split the power between the different power sources.Among the EMS available in the current literature, the Equivalent consumption minimization strategy (ECMS) was selected because it allows a local optimization without rely on prior knowledge of driving condition while giving optimal results.Due to low energy density of supercapacitor, its equivalent hydrogen consumption is neglected in most bibliographic references, which not only counter to the aim of minimizing whole hydrogen consumption but also increase the complication of EMS due to the need of an additional EMS to calculate supercapacitor power demand. Thus, a sequential quadratic programming ECMS (SECMS) strategy is proposed to consider energy cost of all three power sources into the objective function. A rule based control strategy (RBCS) and hybrid strategy (HEOS) are also designed in order to to be compared with SECMS. Degradation of energy sources represents a major challenge for the stability of the developed SECMS system. So, based on online estimating state of heath of fuel cell and battery, an adaptive ECMS (AECMS) has been designed through adjusting the equivalent factor and dynamical change rate of fuel cell. The simulation results show that the AECMS can ensure the charge sustenance of battery and the increase of fuel cell durability.To validate the proposed energy management algorithms and the numerical models an exerimental test bench has been built around the real time interface DSPACE. The comparison of the simulation and experimental results showed that the proposed SECMS is operated at around maximum efficiency, supercapacitor supplies peak power, battery works as the energy buffer. It has been proved that the neglect of supercapacitor equivalent hydrogen consumption in ECMS leads to not optimal operation. Compared with RBCS and HEOS, SECMS has least hydrogen consumption and most stable fuel cell current
Phattanasak, Matheepot. "Étude, modélisation et mise en oeuvre de convertisseurs DC-DC isolés multiport et modulaires." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0193/document.
Full textThis thesis deals with architecture and control of hybrid electrical energy sources where the main source is a fuel cell and the auxiliary one, supercapacitors. Among the various possible power electronics architectures, an isolated multi-port converter using a multi winding transformer has been realized. Each element of the device (fuel cell, supercapacitors and load) is connected to one winding by a voltage inverter. The control of energy exchanges is performed by controlling the phase shifts between voltage waveforms delivered by inverters. The use of identical converters and control modes ensures the modular nature of the system. Transformer modeling is performed in general manner for a N-port transformer and the development of a polygon model simplifies the calculation of the energy exchanges between ports. Two control methods are presented. The first method, more conventional, uses a linear regulator to control the power delivered by the fuel cell and the output voltage is controlled via the electrostatic energy stored in the output capacitor. The limitation of the current variation delivered by the fuel cell is performed by limiting the variation of the input power. The second method is based on the concept of flatness. Energies stored in the capacitors are the flat output variables whereas the powers exchanged between the main source and the other ports are the control variables. It was then possible to determine the trajectory of the flat outputs to meet various constraints like the limitation of the current variation delivered by the fuel cell, the fuel cell maximum power, and the current of the output capacitor during startup. Both control methods have been validated in normal, overload and recovery modes by numerical simulation and experimental results. Rather than using a 4-port converter requiring control of six energy exchanges between ports, the paralleling of two 3-port converters connected to the same main source and load using simulation is studied. The presence of these two converters allows optimizing the system efficiency according to the considered operating point
Chen, Kui. "Modeling and estimation of degradation for PEM fuel cells in real conditions of use for mobile applications." Thesis, Bourgogne Franche-Comté, 2020. http://www.theses.fr/2020UBFCA022.
Full textProton Exchange Membrane Fuel Cells (PEMFC) is a clean energy source because of the merits like high energy efficiency, low noise, low operating temperature, and zero pollutants. However, the short lifetime caused by degradation has a great impact on the integration of PEMFC in the transportation systems. Prognostics and health management is an important way to improve performance and remaining useful life for PEMFC. This thesis proposes five degradation prognosis methods for PEMFC. The thesis considers the influence of main operating conditions including the load current, temperature, hydrogen pressure, and relative humidity on the degradation of PEMFC. The global degradation trend and reversible phenomena are analyzed on the basis of data from three PEMFC experiments conducted under different conditions of use (a fleet of 10 PEMFC vehicles and two laboratory test benches). First, the model-driven method based on unscented Kalman Filter algorithm and voltage degradation model is presented to predict the degradation of PEMFC in fuel cell electric vehicles. Then, the hybrid method based on the wavelet analysis, extreme learning machine and genetic algorithm is proposed to build the degradation model of PEMFC. To forecast the degradation of PEMFC with limited experimental data, the improved data-driven method based on the combination of the grey neural network model, the particle swarm optimization and the moving window methods, is used for developing the third model. The fourth contribution is an aging prognosis model of PEMFC operating in different conditions, by using the Backpropagation neural network and evolutionary algorithm. Finally, a degradation prognosis of PEMFC based on wavelet neural network and cuckoo search algorithm is proposed to predict the remaining useful life of PEMFC
Kandidayeni, Mohsen. "Intégration de diverses conditions de fonctionnement dans l'identification en temps réel et la gestion énergétique d'un véhicule à pile à combustible = Integrating various operating conditions into real-time identification and energy management of a fuel cell vehicle." Thèse, 2020. http://depot-e.uqtr.ca/id/eprint/9314/1/eprint9314.pdf.
Full textCandusso, Denis. "Hybridation du groupe électrogène à pile à combustible pour l'alimentation d'un véhicule électrique." Phd thesis, 2002. http://tel.archives-ouvertes.fr/tel-00473337.
Full textEttihir, Khalid. "Gestion de l'énergie intégrant les variations de comportement non modélisées dans un véhicule électrique à pile à combustible." Thèse, 2017. http://depot-e.uqtr.ca/8355/1/031930179.pdf.
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