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Dans un contexte de progression du stockage d’énergie sous forme électrochimique dans les transports, notamment dans l’aéronautique, les problématiques de performance, de fiabilité, de sureté de fonctionnement et de durée de vie du stockeur sont essentielles pour utilisateurs. Cette thèse se focalise ces voltes pour l’avion plus électrique. Les technologies étudiées correspondent à des éléments commerciaux de dernière génération de type Lithium-ion (NMC/graphite+SiO, NCA/graphite, LFP/graphite, NMC/LTO), Lithium-Soufre (Li-S), supercondensateur et hybride (LiC). Une première partie de ce manuscrit s’attache à la quantification des performances des différents éléments dans l’environnement aéronautique [-20°C, 55°C] et pour l’usage aéronautique. Un modèle comportemental de type électro-thermique est développé et validé. La seconde partie est consacrée à la quantification du vieillissement des différents éléments. Les résultats de vieillissement calendaire et en cyclage actif sont présentés ainsi que ceux des tests abusifs. Une méthode d’estimation de l’état de santé (SOH) des éléments basés sur l’analyse de la capacité incrémentale (ICA) est proposée. Enfin, l’évaluation de la robustesse des éléments de stockage lors de tests de vieillissement accéléré avec un profil spécifique à l’usage aéronautique est proposé. Les modèles de vieillissement et la méthode d'estimation de SOH proposés précédemment sont utilisés ici pour évaluer l'impact de la température sur la vitesse de dégradation et pour estimer le SOH des cellules vieillies à l’aide de ce profil aéronautique. / In the context of progress in the electrochemical energy storage systems in the transport field, especially in the aeronautics, the issues of performance, reliability, safety and robustness of these elements are essential for users. This thesis is focused on these issues for the more electric aircraft. The technologies studied correspond to the latest generation commercial elements of Lithium-ion batteries (NMC/ graphite + SiO, NCA/graphite, LFP/graphite, NMC/LTO), Lithium-Sulfur (Li-S), Supercapacitor and Lithium-ion capacitors. The first part of this manuscript is dedicated to the performance quantification of the different electrochemical energy storage elements in aeronautical environment [-20°C, 55°C] and usage. An efficient and accurate electro-thermal model is developed and validated. The second part is devoted to the calendar and power cycling ageings as well as to the presentation of abuse testing results. A State Of Health (SOH) estimation based on incremental capacity analysis method is proposed. Finally, the robustness of the storage elements during accelerated ageing tests with a specific profile for the aeronautical usage is evaluated. The ageing models and SOH estimation methods proposed in the previous sections are used here to evaluate the impact of temperature on the degradation rate and to estimate the SOH of the cells with this aeronautical profile.

Les travaux de recherche présentés dans ce document portent sur le dimensionnement de machines synchrones pour des applications de véhicules hybrides. L’utilisation de la machine électrique au sein du véhicule hybride est caractérisée par des appels de puissance de courtes durées. Cette thèse propose donc une stratégie de dimensionnement permettant de minimiser considérablement le volume de l’actionneur par la prise en compte des limites thermiques réelles lors du cycle de conduite. La stratégie de dimensionnement est composée de deux étapes. La première étape est l'optimisation du dimensionnement de l’actionneur a partir des points de fonctionnement du cycle. Nous autorisons des niveaux d’induction dans le fer élevés et des niveaux de densité de courant dans les conducteurs dépassant les niveaux habituellement autorises pour un fonctionnement en régime permanent thermique. Ces deux points ont un impact réel sur le volume de la machine. Cela-dit, a ce stade, la thermique de la machine n’est prise en compte qu’indirectement en fixant une densité decourant dans les conducteurs. La seconde étape permet alors de vérifier la thermique par une simulation sur cycle pour ensuite réajuster si besoin la densité de courant et reprendre la première étape d’optimisation de la machine. Des modèles adaptes au processus d’optimisation ont alors été mis en place et offrent un bon compromis entre le temps de calcul et la précision requise. Par conséquent, un modèle magnétique prenant en compte la saturation croisée dans la machine utilisant la méthode nodale a été développé ; un modèle permettant une meilleure prise en compte des pertes fer notamment dans le zone de défluxage a également été développé ainsi qu’un modèle thermique en transitoire utilisant également la méthode nodale. Le modèle thermique étant la clé de la stratégie de dimensionnement, une grande attention y a été portée. Ce modèle permet de prendre en compte la direction des flux dans les trois dimensions et fournit de bonnes estimations des températures dans la machine notamment aux endroits les plus chauds comme les encoches et lestêtes de bobines. Ces résultats ont été corrobores par des essais expérimentaux réalisés dans les bancs IFPEN sur une machine spécialement instrumentée en thermocouples. Cela a permis de valider le comportement thermique en régime permanent thermique et en régime transitoire thermique. Ces modèles ont ensuite été implantes dans une modélisation multi-physique pour l’outil d’optimisation et pour l’outil de simulation. Une étude de cas a été présentée pour un véhiculehybride Kangoo ou la machine doit pouvoir assurer son fonctionnement pour un cycle Artemis urbain. Les résultats de la stratégie de dimensionnement permettent alors de conclure que sur cycle, le volume extérieur des parties actives de la machine électrique peut-être réduit de 40 % par rapport a un dimensionnement établi par les règles de l’art en régime permanent. De plus, la réduction du volume de fer dans la machine induit également une réduction des pertes fer ce qui nous permet de conclure que, toujours sur cycle, son rendement moyen reste élevé. / This work deals with the sizing of synchronous machines for hybrid vehicle applications. The use of the machine in the hybrid vehicle is characterized by high power consumption during a short time. This work proposes a strategy for minimizing the volume of the actuator by taking into account the real limits of temperature during the operating cycle. The sizing strategy is composed of two steps. The first step is the sizing optimization of the actuator with the operating point of the cycle. In thisstep we allow high level of flux density and the level of current density in the conductors exceeds the usual level for the continuous operating of the machine. These two parameters can reduce significantly the volume of the machine. However in this step, the temperatures are node checked. The second step checks the temperatures in the machine by simulating the entire cycle. So suitable models for optimization tools are carried out and are a compromise between the time computing and the required accuracy. Consequently, a magnetic model taking account of the cross saturation in the machine by using the nodal network method has been carried out ; efficient iron losses model in the flux weakening operation has been carried out and thermal model using too the nodal network method has been carried out. The thermal model is the main point for the sizing strategy so, a particular attention is needed. This model takes account of the flux directions in 3d and provides a good estimation of the temperatures in the actuator particularly in the heat zones as the slots and the end-windings. These results are checked by experimental tests realized in IFPEn on a special machine where thermocouples are implanted inside. We validated the thermal behavior in temperatures stabilized operation and in transitory temperatures operation. Next, these models have been implemented in multi-physics modeling for the optimization tool and for simulation tool. A study case has been introduced for a Kangoo hybrid vehicle where the electrical machine has to operate on each operating points of the Artemis cycle. With the results of the sizing strategy, we canconclude that for a working on cycle, le external volume of the magnetic parts of the machine can be reduce of 40 % compared with a sizing established by the usual rules in stabilized temperature operation. Furthermore, the volume reduction of the iron in the machine induces a reduction of the iron losses and we can conclude that the mean efficiency during the cycle stays good.

The organic materials used for stator winding insulation are subject to deterioration from thermal, electrical, and mechanical stresses. Stator winding insulation breakdown due to excessive thermal stress is one of the major causes of electric machine failures; therefore, prevention of such a failure is crucial for increasing machine reliability and minimizing financial loss due to motor failure. This work focuses on the development of an efficient and reliable stator winding temperature estimation scheme for small to medium size mains-fed induction machines. The motivation for the stator winding temperature estimation is to develop a sensorless temperature monitoring scheme and provide an accurate temperature estimate that is capable of responding to the changes in the motors cooling capability. A discussion on the two major types of temperature estimation techniques, thermal model-based and parameter-based temperature techniques, reveals that neither method can protect motors without sacrificing the estimation accuracy or motor performance. Based on the evaluation of the advantages and disadvantages of these two types of temperature estimation techniques, a new online stator winding temperature estimation scheme for small to medium size mains-fed induction machines is proposed in this work. The new stator winding temperature estimation scheme is based on a hybrid thermal model. By correlating the rotor temperature with the stator temperature, the hybrid thermal model unifies the thermal model-based and the parameter-based temperature estimation techniques. Experimental results validate the proposed scheme for stator winding temperature monitoring. The entire algorithm is fast, efficient and reliable, making it suitable for implementation in real time stator winding temperature monitoring.

This thesis deals with the modeling, analysis and control of a novel brushlessgenerator for wind power application. The generator is named as rotatingpower electronic brushless doubly-fed induction machine/generator (RPEBDFIM/G). A great advantage of the RPE-BDFIG is that the slip power recoveryis realized in a brushless manner. This is achieved by introducing an additionalmachine termed as exciter together with the rotating power electronicconverters, which are mounted on the shaft of a DFIG. It is shown that theexciter recovers the slip power in a mechanical manner, and delivers it backto the grid. As a result, slip rings and carbon brushes can be eliminated,increasing the robustness of the system, and reducing the maintenance costsand down-time of the turbine. To begin with, the dynamic model of the RPE-BDFIG is developed andanalyzed. Using the dynamic model, the working principle of the generatoris understood and its operation explained. The analysis is carried out atspeeds, ±20% around the synchronous speed of the generator. Moreover, thedynamics of the generator due to external load-torque disturbances are investigated.Additionally, the steady-state model is also derived and analyzed forthe machine, when operating in motor mode. As a next step, the closed-loop control of the generator is considered indetail. The power and speed control of the two machines of the generator andthe dc-link voltage control is designed using internal model control (IMC)principles. It is found that it is possible to maintain the stability of thegenerator against load-torque disturbances from the turbine and the exciter,at the same time maintain a constant dc-link voltage of the rotor converter.The closed-loop control is also implemented and the operation of the generatorwith the control theory is confirmed through experiments.In the third part of the thesis, the impact of grid faults on the behaviourof the generator is investigated. The operation of the generator and its responseis studied during symmetrical and unsymmetrical faults. An approachto successful ride through of the symmetrical faults is presented, using passiveresistive network (PRN). Moreover, in order to limit the electrical and mechanicaloscillations in the generator during unsymmetrical faults, the dualvector control (DVC) is implemented. It is found that DVC to a certain extentcan be used to safeguard the converter against large oscillations in rotorcurrents. Finally, for completeness of the thesis, a preliminary physical design ofthe rotating power electronic converter has been done in a finite elementsoftware called ANSYS. The thermal footprint and the cooling capability,with estimates of the heatsink and fan sizes, are presented. Besides, another variant of a rotating electronic induction machine whichis based on the Lindmark concept and operating in a single-fed mode is also investigated. It’s steady-state model is developed and verified through experiments. / <p>QC 20151006</p>

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / This thesis presents the study and characterization of organic light-emitting diodes (OLEDs) with the proposal of obtaining an equivalent model that is useful in the OLED driver design and in lighting systems projects. Initially, a literature review covering the operating principle and the constructive aspects of OLEDs is presented. From this, a model that integrates scale, photometrical, electrical and thermal aspects is proposed. This model is static and dynamic and is called EFET. A procedure for parameter identification of the model is proposed, jointly with an analysis of the intrinsic capacitance effect on the OLED electrical, thermal and photometrical performance. The proposed model is able to predict and simulate the OLED based lighting systems before building, saving time and cost. The model is validated using different OLED samples and conclusions are derived from the experimental validation and simulation results. An approach considering the dimming methods of OLEDs is presented, showing the chromatic impact caused by each method. Finally, an OLED driver based on the concept of switched capacitor converters is proposed. The thesis results are satisfactory and provide an enhancement to the state of the art in modeling and OLED driving. / A presente tese de doutorado apresenta o estudo e a caracterização de diodos orgânicos emissores de luz (OLEDs) com a proposta de um modelo equivalente que é útil no desenvolvimento de circuitos de acionamento e na análise de OLEDs, quando aplicados em sistemas de iluminação. Inicialmente, é apresentada uma revisão bibliográfica contemplando o princípio de funcionamento e os aspectos construtivos dos OLEDs. A partir disto, um modelo que integra os aspectos de escala, fotométricos, elétricos e térmicos é proposto. Esse modelo é denominado EFET e é dividido em estático e dinâmico. Uma proposta de procedimento para identificação dos parâmetros do modelo é apresentada, juntamente com a análise do efeito da capacitância intrínseca dos OLEDs no seu desempenho elétrico, térmico e fotométrico. Com o modelo proposto pode-se predizer e simular o comportamento dos OLEDs antes de construir o sistema de iluminação, reduzindo custos e tempo de desenvolvimento. O modelo é validado empregando diferentes amostras de OLEDs. Conclusões são obtidas a partir da validação experimental e de simulações empregando simuladores elétricos e da fluidodinâmica computacional através do método de elementos finitos. Uma abordagem considerando os métodos de ajuste da intensidade luminosa de OLEDs é apresentada, evidenciando o impacto cromático provocado por cada método. Por fim, um circuito de acionamento para OLEDs baseado no conceito de capacitores chaveados é proposto. Os resultados obtidos são satisfatórios e proporcionam um incremento ao estado da arte da modelagem e acionamento de OLEDs.

Les principaux objectifs de cette étude est de fournir les informations essentielles sur le comportement thermique des cellules de batterie pour une application automobile, en particulier pour les véhicules électriques et hybrides. Cette application est notre cadre de travail expérimental afin de développer un modèle électro-thermique 3D efficace pour les cellules lithium-ion et du pack batterie. L'étude expérimentale se concentre sur la distribution de température en différents points de la surface de la cellule, de l'impact de différents débits constants, et également l'importance du système de refroidissement sur le comportement en température de la batterie. Cette thèse met en évidence le comportement de température de la cellule dans des conditions de décharge agressive et de l'impact de l'empilement de plusieurs cellules à l'intérieur de la batterie. Une étude de cas sur le comportement thermique de la cellule dans une application véhicule électrique hybride série est proposée pour compléter les cycles de conduite en utilisant différentes stratégies de refroidissement. En outre, l'étude expérimentale est étendue à la caractéristique du comportement de refroidissement par flux d'air à l'intérieur de la batterie, en utilisant le système d'image de particules (PIV). Le modèle électro-thermique CFD 3D est développé sous un logiciel Open Source OpenFOAM. L'objectif principal est d'obtenir un modèle relativement simple mais précis avec un temps de calcul raisonnable. Le modèle proposé, estime la production de chaleur, à partir du courant de la batterie et la résistance interne en fonction de la température, le transfert de chaleur par conduction, convection forcée et rayonnement. / The main objectives of this study are to provide the essential information on the thermal behaviour of the battery cells for automotive purpose especially for EVs and HEVs through experimental work in order to develop an effective 3D electro-thermal model for lithium ion battery cells and pack. The experimental study is focusing on the distribution of temperature at various points of the battery cell surface, impact of different constant discharge rates, and also the importance of cooling system on the battery temperature behaviour. This thesis highlights the battery cell temperature under abuse discharge condition and the impact of stacking the battery cells inside the battery pack. Impact of different temperature and SOC on the battery cell internal resistance and a case study on the battery cell thermal behaviour used in a series HEV to complete driving cycles using different cooling strategies are also studied. Furthermore, the experimental study is extended to the characteristic of the cooling air flow behaviour inside the battery pack, using particulate image velocimetry (PIV) system. The 3D electro-thermal CFD model is implemented in a free, open source CFD software package called OpenFOAM. The target is to have a relatively simple but accurate model with reasonable computation time. This proposed model considers the heat generation from battery current and internal resistance as a function of temperature, heat transfer through conduction, forced convection and radiation.

Indiana University-Purdue University Indianapolis (IUPUI) / Lithium-ion batteries are widely used for portable electronics due to high energy density, mature processing technology and reduced cost. However, their applications are somewhat limited by safety concerns. The lithium-ion battery users will take risks in burn or explosion which results from some internal components failure. So, a practical method is required urgently to find out the failures in early time. In this thesis, a new method based on temperature difference between internal point and surface (TDIS) of the battery is developed to detect the thermal failure especially the thermal runaway in early time. A lumped simple thermal model of a lithium-ion battery is developed based on TDIS. Heat transfer coefficients and heat capacity are determined from simultaneous measurements of the surface temperature and the internal temperature in cyclic constant current charging/discharging test. A look-up table of heating power in lithium ion battery is developed based on the lumped model and cyclic charging/discharging experimental results in normal operating condition. A failure detector is also built based on TDIS and reference heating power curve from the look-up table to detect aberrant heating power and bad parameters in transfer function of the lumped model. The TDIS method and TDIS detector is validated to be effective in thermal runaway detection in a thermal runway experiment. In the validation of thermal runway test, the system can find the abnormal heat generation before thermal runaway happens by detecting both abnormal heating power generation and parameter change in transfer function of thermal model of lithium ion batteries. The result of validation is compatible with the expectation of detector design. A simple and applicable detector is developed for lithium ion battery catastrophic failure detection.

<h4>A generalized physics-based modeling framework is presented to analyze: (a) the effects of temperature on identified degradation mechanisms, (b) interfacial debonding processes, including deterministic and stochastic mechanisms, and (c) establishing model performance benchmarks of electrochemical porous electrode theory models, as a necessary stepping stone to perform valid battery degradation analyses and designs. Specifically, the effects of temperature were incorporated into a physics-based, reduced-order model and extended for a LiCoO₂ -graphite 18650 cell. Three dimensionless driving forces were identified, controlling the temperature-dependent reversible charge capacity. The identified temperature-dependent irreversible mechanisms include homogeneous SEI, at moderate to high temperatures, and the chemomechanical degradation of the cathode at low temperatures. Also, debonding of a statistically representative electrochemically active particle from the surrounding binder-electrolyte matrix in a porous electrode was modeled analytically, for the first time. The proposed framework enables to determine the space of C-Rates and electrode particle radii that suppresses or enhances debonding and is graphically summarized into performance–microstructure maps where four debonding mechanisms were identified, and condensed into power-law relations with respect to the particle radius. Finally, in order to incorporate existing or emerging degradation models into porous electrode theory (PET) implementations, a set of benchmarks were proposed to establish a common basis to assess their physical reaches, limitations, and accuracy. Three open source models: dualfoil, MPET, and LIONSIMBA were compared, exhibiting significant qualitative differences, despite showing the same macroscopic voltage response, leading the user to different conclusions regarding the battery performance and possible degradation mechanisms of the analyzed system.</h4>

A common architecture for electric vehicles is to have two electric machines one each on the front and rear axle. Despite the redundancy, this configuration ensures performance. Being energy efficient is equally important for electric vehicles to deliver a sufficiently high range. Hence, operating a single machine at low to medium torque requirement is desirable. A clutch can be implemented on the front axle and its engagement dynamically controlled to reduce the magnetic drag losses in the front machine. With clutch disengaged, the entire torque will be delivered by the rear machine causing it to heat up quickly. As electric machine and inverter losses are also temperature dependent, this work attempts to derive an optimal torque split strategy between the two machines considering thermal effects. An upper-temperature limit for both electric machine and inverter is imposed for component protection. Thermal models for the electric machine, inverter and coolant circuit are simplified using system identification and model order reduction approach. Dynamic optimal torque split is realized by minimizing the energy loss over the entire drive cycle. Dynamic programming is used to investigate the benefits of including thermal losses and to generate a benchmark solution for optimal torque split strategy. Further, two online controllers are developed, one based on non-linear model predictive control and the other being a static controller with added heuristic rules to prevent temperatures of critical components to exceed the limits. A high-fidelity plant model was developed using VSIM as master and GT-Suite thermal model as slave to compare the performance of these controllers. The results show that it is possible to obtain decent thermal performance of electric motor and inverter with one node lumped parameter thermal model and a five-node lumped parameter model for the coolant circuit. Including thermal dynamics in the controller can constraint the temperature within the limits and give an optimal torque split. The benefit of adding temperature-dependent thermal maps is found to be limited to certain operating regions. The static controller with torque split based on instantaneous power loss also performed well for the given configuration. The major contribution to energy saving was obtained by dynamic disengagement of clutch in the form of reduced magnetic drag losses. / En vanlig arkitektur för elfordon är att ha två elmaskiner en vardera på fram- och bakaxeln. Trots redundansen säkerställer denna konfiguration prestanda. Att vara energieffektiv är lika viktigt för att elfordon ska leverera en tillräckligt hög räckvidd. Det är därför önskvärt att driva en enda maskin med lågt till medelhögt vridmoment. En koppling kan implementeras på framaxeln och dess ingrepp kan styras dynamiskt för att minska de magnetiska motståndsförlusterna i den främre maskinen. Med kopplingen urkopplad kommer hela vridmomentet att levereras av den bakre maskinen vilket gör att den snabbt värms upp. Eftersom förluster av elektriska maskiner och växelriktare också är temperaturberoende, försöker detta arbete härleda en optimal vridmomentsdelningsstrategi mellan de två maskinerna med tanke på termiska effekter. En övre temperaturgräns för både elektrisk maskin och växelriktare är införd för komponentskydd. Termiska modeller för den elektriska maskinen, växelriktaren och kylvätskekretsen förenklas med hjälp av systemidentifiering och modellbeställningsreduktion. Dynamisk optimal vridmomentdelning realiseras genom att minimera energiförlusten under hela körcykeln. Dynamisk programmering används för att undersöka fördelarna med att inkludera termiska förluster och för att generera en benchmarklösning för optimal vridmomentsdelningsstrategi. Vidare utvecklas två online-styrenheter, en baserad på icke-linjär modell för prediktiv styrning och den andra är en statisk styrenhet med tillagda heuristiska regler för att förhindra att temperaturer på kritiska komponenter överskrider gränserna. En högfientlig anläggningsmodell utvecklades med VSIM som master och GT-Suite termisk modell som slav för att jämföra prestandan hos dessa styrenheter. Resultaten visar att det är möjligt att erhålla hyfsad termisk prestanda för elmotor och växelriktare med en termisk modell med en nodklumpad parameter och en femnodsmodell med klumpparametrar för kylvätskekretsen. Att inkludera termisk dynamik i regulatorn kan begränsa temperaturen inom gränserna och ge en optimal vridmomentfördelning. Fördelen med att lägga till temperaturberoende termiska kartor har visat sig vara begränsad till vissa driftsområden. Den statiska styrenheten med vridmomentdelning baserad på momentan effektförlust fungerade också bra för den givna konfigurationen. Det största bidraget till energibesparingen erhölls genom dynamisk urkoppling av kopplingen i form av minskade magnetiska motståndsförluster.