Le marché des véhicules électriques connait actuellement un développement important motivé par diverses raisons. Cependant, des limites liées à leurs performances constituent des inconvénients majeurs à une croissance des ventes de plus grande importance. Les performances et durée de vie des batteries utilisées sont au cœur des préoccupations des utilisateurs. Les batteries sont sujettes à des pertes de performances au fil du temps, dus à des phénomènes complexes impliquant des interactions entre les diverses conditions de vie de celles-ci. Dans l'objectif d'améliorer la compréhension et l'estimation du vieillissement d'une batterie, ces travaux étudient des données issues d'usages réels de batteries sur des véhicules électriques. En particulier, l'étude consiste en l'adaptation d'approches statistiques fondées sur les données mesurées, mettant en évidence des interactions entre variables, ainsi que la création de méthodes d'estimation du niveau de performance de batterie uniquement basé sur les mesures obtenues. Les résultats de ces méthodologies ont permis d'illustrer l'apport d'une approche statistique, par exemple en démontrant la présence d'informations contenues dans les signaux issus de la batterie, utiles pour l'estimation de son état de santé. / Due to different reason The electrical vehicle market is undergoing important developments. However the limits associated with performance represent major drawbacks to increase the sales even more. The batteries performance and lifetime are the main focus of EV users. Batteries are subject to performance loss due to complex phenomena implying interactions between the different life conditions of the battery. In order to improve the understanding and estimation of battery aging, the studies were based on datasets from real use ev batteries. More precisely, this study consists in the adaptation and application of statistical approaches on the available data in order to highlight the interactions between variables, as well as the creation of methods for the estimation of battery performance. The obtained results allowed to illustrate the interests of a statistical approach. For example the demonstration of informations contained in the signals coming from the battery which are useful for the estimation of its state of health.

Este trabalho apresenta um estudo exploratório do potencial do Paraguai e da Bolívia para o desenvolvimento de uma indústria de mobilidade elétrica, avaliando a viabilidade de substituição da frota convencional de veículos leves, propulsados atualmente por motores à combustão interna (VCI), por veículos elétricos (VE) equivalentes. O estudo leva em consideração critérios econômicos, energéticos, ambientais, geopolíticos e disponibilidade de recursos naturais. Por tanto, são consideradas duas situações de substituição. No primeiro, por veículos elétricos disponíveis no mercado internacional (VE) e, alternativamente, por veículos elétricos com baterias de Li-ion, resultado da implantação e desenvolvimento de uma indústria de VE`s e outra de baterias de íons de lítio (Li-ion). Aproveitando assim, as vantagens estratégicas de recursos naturais proveniente do Salar de Uyuni Bolívia e da disponibilidade de energia elétrica no Paraguai, considerando a utilização de parte da potência da usina de Itaipu, propriedade do Paraguai e atualmente cedida a seu sócio no empreendimento, o Brasil, bem como a partir das abundantes reservas de gás natural boliviano e o potencial de ambos os países para o desenvolvimento de projetos de fontes renováveis. A indústria de baterias para os automóveis elétricos pode ser localizada na Bolívia, perto dos recursos e com grandes avanços tecnológicos e investimentos do governo na área nos últimos anos, enquanto a de VEL pode ser sediada no Paraguai que na atualidade possui um grande interesse de investidores estrangeiros. Os governos poderiam fomentar o projeto com iniciativas, como subsídios no custo da energia utilizada para o abastecimento de VE`s, ou no custo de investimento inicial do veículo. Poderia também fornecer financiamento para a aquisição de VE`s a taxas menores as do mercado. As estimativas conduzidas neste trabalho mostram que uma eventual substituição da frota de veículos leves VCI por VE no período de 10 anos, geraria benefícios econômicos cumulativos para o Paraguai de US$ 1.031 milhões e para Bolívia de US$ 1.373 milhões. Essa substituição permitiria uma redução das emissões de Gases de Efeito estufa (GEE) de 8.398 GgCO2 para o Paraguai e 9.420 7 GgCO2 para a Bolívia. Inicialmente seriam produzidos 40 mil veículos por ano em cada país para atingir a escala necessária para a redução dos custos das BIL`s. A ideia subjacente é ganhar escala local para a cadeia de produção inicial e, em seguida, acessar os mercados de América latina e o mundo. / This document presents an exploratory study of the potential of Paraguay and Bolivia for the development of an electric mobility industry, assessing the viability of replacing conventional light vehicle fleet, currently driven by internal combustion engines (ICE), for electric vehicles (EV) equivalent. The study takes into account economic, energy, environmental, geopolitical, and availability of natural resources criteria. Therefore, two replacement situations are considered. In the first, for EV`s currently available in the international market and, alternatively, for electric vehicles with Li-ion batteries, due to the implementation and development of both, an electric vehicle and a lithium-ion batteries industry. Leveraging so, the strategic advantages of natural resources from the Salar de Uyuni - Bolivia and the availability of electricity. This considering the use of part of the over-potential of the Itaipu power plant, owned by Paraguay and currently assigned to his associated in the undertaken, Brazil, and from Bolivian natural gas abundant reserves and the potential of both countries for the development of renewable projects. The battery industry for electric cars could be located in Bolivia, because of the proximity of the lithium resources and the technological breakthroughs and investments in the area of the Bolivian government in recent years, while the LEV industry could be based in Paraguay, which currently has a great appeal for foreign investors. Governments could promote the project with incentives such as subsidies in the cost of energy used to supply EV`s, or the cost of the initial investment vehicle, it also could provide funding for the acquisition of EV`s at lower rates. Estimates conducted in this study in a ten year basis show that any replacement of the ICE light vehicle fleet for EV would generate cumulative economic benefits to Paraguay for US$ 1,031 million, and for Bolivia US$ 1,373 million. This substitution would reduce Greenhouse Gases emissions (GHG) in 8,398 GgCO2 for Paraguay and 9,420 GgCO2 for Bolivia. Initially, 40,000 vehicles per year in each country would be produced to achieve the scale required for reducing BIL`s costs. The underlying idea is to make local scale for initial production chain and then access the Latin America markets and the world.

The aim of this report is to evaluate how a future commercially owned fleet of self-driving electric vehicles (EV:s) would be able to provide power in order to avoid power exceedances in the power grid. Exceedances occur when network agreements between grid operating companies are exceeded. Exceedances are problematic, since they infer penalty fees for the paying company and make dimensioning the grid capacity more difficult for the supplying company. Capacity deficiency regarding the infrastructure of the grid is expected to increase, likely resulting in higher penalty fees. Integrating transport and power systems by using self-driving EV:s as Mobility as a Service combined with Vehicle-to-Grid (V2G) technology is a potential solution for this problem. By modeling the EV-fleet as the New York City taxi fleet, a usage pattern deemed to resemble Mobility as a Service is created. An economic value for the V2G service is estimated by comparing the availability of the EV-fleet with local exceedances from Uppsala as well as regional occurring exceedances. The highest income during the first quarter of 2019 is 96 000 SEK for the whole fleet, or 1100 SEK per EV and hour-long exceedance. The time of exceedance and the power magnitude have to interplay with the availability of the EV-fleet in order to enable the system. The EV battery capacity highly impacts the system, but is concluded to not be a limiting factor due to market logic. Lastly, key features such as market formation as well as geographical and technical aspects are presented and discussed.

Optimal control of energy flows in a Hybrid Electric Vehicle (HEV) is crucial to maximising the benefits of hybridisation. The problem is complex because the optimal solution depends on future power demands, which are often unknown. Stochastic Dynamic Programming (SDP) is among the most advanced control optimisation algorithms proposed and incorporates a stochastic representation of the future. The potential of a fully developed SDP controller has not yet been demonstrated on a real vehicle; this work presents what is believed to be the most concerted and complete attempt to do so. In characterising typical driving patterns of the target vehicles this work included the development and trial of an eco-driving driver assistance system; this aims to reduce fuel consumption by encouraging reduced rates of acceleration and efficient use of the gears via visual and audible feedback. Field trials were undertaken using 15 light commercial vehicles over four weeks covering a total of 39,300 km. Average fuel savings of 7.6% and up to 12% were demonstrated. Data from the trials were used to assess the degree to which various legislative test cycles represent the vehicles’ real-world use and the LA92 cycle was found to be the closest statistical match. Various practical considerations in SDP controller development are addressed such as the choice of discount factor and how charge sustaining characteristics of the policy can be examined and adjusted. These contributions are collated into a method for robust implementation of the SDP algorithm. Most reported HEV controllers neglect the significant complications resulting from extensive use of the electrical powertrain at high power, such as increased heat generation and battery stress. In this work a novel cost function incorporates the square of battery C-rate as an indicator of electric powertrain stress, with the aim of lessening the affliction of real-world concerns such as temperatures and battery health. Controllers were tested in simulation and then implemented on a test vehicle; the challenges encountered in doing so are discussed. Testing was performed on a chassis dynamometer using the LA92 test cycle and the novel cost function was found to enable the SDP algorithm to reduce electrical powertrain stress by 13% without sacrificing any fuel savings, which is likely to be beneficial to battery health.

Dans le contexte automobile actuel de réduction des émissions de CO2, une réponse semble être apportée par le véhicule électrique. De nombreuses questions se posent alors, notamment concernant l’autonomie, d’autant plus que le nombre de consommateurs électriques dans les véhicules est en constante augmentation. Il est nécessaire de concevoir un groupe-motopropulseur électrique alliant autonomie et performances en considérant les contraintes de coût auxquelles est confronté tout constructeur.Concernant les outils de conception, très nombreux sont les constructeurs qui s’orientent vers d’autres solutions que la réalisation de prototypes en faisant appel à la simulation numérique dès le début du cycle en V pour optimiser leur prédimensionnement et assurer un gain non négligeable sur les délais et les coûts. Les travaux de thèse s’articulent ainsi autour de deux axes. Une première étape consiste à modéliser le réseau électrique automobile (chaîne de traction, système de confort thermique et réseau 14V) afin de simuler son fonctionnement en régime dynamique. L’aspect dynamique est important : des cartographies de pertes ne peuvent suffire si nous nous intéressons aux performances du véhicule en termes d’accélérations. D’autre part, l’autonomie est impactée de façon non négligeable par cet aspect dynamique.Dans une seconde étape, nous procéderons à l’optimisation du système de puissance. Les critères qui nous intéressent, autonomie et performances, sont antagonistes, ce qui donne lieu à la recherche de « meilleurs » compromis. Nous distinguons l’optimisation des lois de pilotage des organes de l’optimisation de l’architecture, les deux étant menées séquentiellement. / In the current automobile trend of global CO2 emissions reduction, the electric vehicle seems to be one of the most effective solutions. It is a new technology and, consequently, many questions appear, in particular concerning the range impacted by the constant increase of the number of electric loads embedded in vehicles. It is necessary to design an electric powertain allying sufficient range and good performances and respecting cost constraints, which is a determining criterion for every car manufacturer. Concerning conception tools, many car manufacturers turn to other solutions that only physical prototypes realization by using numerical simulation from the beginning of the V-cycle in order to optimize powertrain presizing and ensure a significant costs and delays reduction.The thesis works are based on two axes.The first part consists in modeling the power system of electric vehicle (powertrain, air-conditioning, heating system and 14V network) in order to simulate the global system behavior in transient state. The dynamic aspect is important: for example, losses maps cannot be used if we are interested in vehicle performances in terms of accelerations. Moreover, as that will be shown, the vehicle range is impacted in a significant way by the dynamic phenomena. The models are validated by comparison with tests results.In a second part, we proceed to electric power system optimization. The criteria that interest us namely range and performances are conflicting, what gives rise in search of "best" compromises. It is necessary to distinguish control laws optimization from architecture optimization, both being led sequentially.

Dans le cadre du développement des voitures électriques (VE), la solution de chauffage de l’habitacle par pompe à chaleur (PAC) s’impose graduellement en raison des plus grandes efficacités de ces dernières par rapport aux résistances électriques classiques. Cependant, dans certaines conditions, du givre se forme sur l’évapo-condenseur entraînant une dégradation marquée des performances du système. L’enjeu général de ce travail est donc de développer une PAC pour VE efficace en conditions de givrage afin d’améliorer l'autonomie en hiver. Pour ce faire, un évapo-condenseur résistant au givrage est nécessaire. Afin d’améliorer le design de l’échangeur, un modèle dynamique et pseudo 3D d’échangeur à microcanaux, typique de l’automobile, en conditions de givrage a été développé. Un sous-modèle de croissance de givre à la fois simple et précis a été établi en étudiant les différentes hypothèses de modélisation trouvées dans la littérature. Ensuite, au niveau échangeur de chaleur, la clé réside dans la bonne prédiction des pertes de charge aérauliques. Ainsi, une nouvelle approche a été de considérer les épaisseurs maximales locales de givre et une corrélation intégrant l’impact du givre afin de bien prédire les pertes de charge, la chute du débit d’air, et donc la chute de la puissance thermique de l’échangeur. Le modèle complet d’échangeur de chaleur couplé à un ventilateur a été validé expérimentalement. À partir d’une étude numérique basée sur le modèle, deux concepts innovants ont été établis : l’un avec ailettes ondulées débordantes et l’autre avec passes de réfrigérant croisées. Deux prototypes ont été fabriqués, à partir de l’évapo-condenseur de la Renault Zoé, puis testés. Le meilleur des deux échangeurs, celui à ailettes débordantes, a été monté sur véhicule et comparé à l’échangeur de la Zoé. Le prototype a permis d’allonger d’environ 2.5 fois la période de fonctionnement du système. Finalement, un modèle de PAC avec givrage a été réalisé et intégré dans un modèle complet de VE. Pour un VE avec une autonomie d’environ 140 km sans chauffage, il s’avère que le givrage de la PAC dégrade l’autonomie d’environ 15% pour un trajet à 0°C et 90% d'humidité. Grâce à l’utilisation du prototype à ailettes ondulées débordantes, cette perte d’autonomie est de 3% seulement. / In the electric vehicle (EV) development context, the choice of heat pumps (HP) for cabin heating is becoming more popular due to their high efficiency compared to electric heaters. However, under some operating conditions, frost forms on the HP evapo-condenser causing a dramatic drop in the system performances until the system cannot operate. Hence, this work aims at developing a HP for EV which remains efficient under frosting conditions ultimately, to improve the EV range in the winter. This requires the design of a frost-resistant heat exchanger (HX). First, to improve the HX design, a dynamic and pseudo-3D model under frosting conditions of a typical HX for cars has been developed. A simple and accurate frost growth sub-model has been established by studying the various modeling assumptions found in the literature. Then, at the HX level, the key point has been to predict the air pressure losses, via the consideration of the maximum local frost thicknesses and the development of a correlation considering frost, in order to predict the drop of airflow and therefore the drop of the HX cooling capacity. Then, the model of the HX coupled with the fan has been validated experimentally. Using the model, a numerical study has been conducted and two innovative concepts have been established: one with wavy upstream extending fins and the other with crossed passes of refrigerant. Two prototypes were fabricated, using a reference HX taken from the Renault Zoé, and then tested. The best of the two HX, the one with upstream extending fins, was mounted on a VE and compared to the reference case. The prototype allowed extending the system operation by 2.5 times approximately. Finally, a HP model under frosting conditions was built and integrated into a EV model. It appeared that, for an EV with a range of approximately 140 km without heating, the HP frosting degrades the autonomy by about 15% at 0°C and 90% humidity, which was reduced to 3% via the use of the innovative HX prototype with wavy upstream extending fins.

Ce travail vise à modéliser le vieillissement des batteries lithium-ion soumises à des sollicitations de type véhicule (électrique ou hybride). Cette étude a notamment pour but d’optimiser le dimensionnement des packs batteries pour véhicule et les stratégies de gestion électrique. Une approche originale, de type fatigue mécanique, a été sélectionnée car potentiellement capable de modéliser des sollicitations complexes et variées. Cette approche a été développée pour une batterie lithium-ion spécifique graphite/NCA. Il apparaît qu’un simple cumul de dommage n’est pas entièrement pertinent et que deux contributions au vieillissement sont à l’œuvre : l’une en fonction de la charge échangée et l’autre en fonction du temps. De multiples essais de vieillissement ont été effectués et montrent l’influence très importante de la température, du courant et de l’état de charge sur chacune de ces contributions. Ces essais permettent de mettre en équation l’impact de chacun de ces paramètres sur la vitesse de dégradation. Il en découle un modèle informatique de prévision du vieillissement, capable de prendre en compte les périodes d’arrêt comme de roulage. Les résultats, sur des sollicitations peu à moyennement complexes, donnent une très faible erreur au niveau de la prévision. Des analyses post-mortem ont également été effectuées sur les batteries étudiées afin de comprendre les mécanismes en jeu. Plusieurs analyses (physico-chimiques et électrochimiques, par spectroscopie d’impédance) permettent de relier les principaux mécanismes de vieillissement à chacune des deux contributions : une altération de la structure cristalline du matériau actif d’électrode positive pour la contribution fatigue, la passivation du matériau actif d’électrode négative pour la contribution temporelle. Ces analyses apportent une vision plus complète du vieillissement et justifient les hypothèses effectuées lors de la mise en place du modèle. Elles permettent également d’envisager une généralisation du modèle à d’autres technologies de batteries lithium-ion. D’ailleurs, un essai de généralisation à une autre batterie commerciale a permis de vérifier la fiabilité et de détecter les limites de notre approche. / This scientific piece of work aims at modeling the aging of lithium-ion batteries, depending on the vehicle stress (electric or hybrid type). More specifically, this study intends to optimise the design of battery packs for vehicle and power management strategies. A original mechanical fatigue approach has been selected as potentially able to model complex and varied demands. This approach was developed for a specific graphite / NCA lithium-ion battery. It appears that a simple damage accumulation is not entirely relevant, and that two contributions to aging are ongoing: one based on charge throughput and the other based on time. Multiple aging tests were performed and have shown the important influence of temperature, current power and state of charge for each contribution. They led to the establishment of equations linking each of these parameters to battery degradation rate. Thanks to these equations, a computer model for aging prevision has been built, able to take into account both cycling and calendar ageing. The model gives, for slightly to moderately complex solicitations, a very small predicting error. Postmortem analyses were also performed on the batteries to understand the mechanisms involved. Several analytical techniques (physicochemical and electrochemical, impedance spectroscopy) make possible to connect the main mechanisms of ageing to the contributions: an alteration of the crystalline structure of the positive electrode active material for the fatigue contribution, passivation of the negative electrode active material for the time contribution. These analyses provide a more complete view of aging and justify the hypothesis made during the implementation of the model. These electrochemical results allow us to consider a generalisation to other lithium-ion battery technologies. Indeed, an attempt to generalise the model to another commercial battery has made possible to check the reliability and to detect limits of this approach.

Avec l'importance que prend le parc de véhicules électriques rechargeable (VER) depuis ces dix dernières années et au vu de l'important taux de croissance le caractérisant, se pose alors la question de l'infrastructure de recharge y inhérente. Une manière d'en tirer bénéfice et d'en minimiser l'impact consistera en l'agrégation en flotte et de gérer cette dernière en conséquence. L'objectif général de la thèse est de proposer et de développer des algorithmes décentralisés qui permettront de minimiser les impacts les plus critiques attendus d'une forte pénétration de VERs. La prise en compte de la réversibilité des chargeurs actuels et de leur fonctionnement sur les quatre quadrants, les algorithmes proposés, rendent également possible la fourniture de services système au réseau ; cependant il faut aussi tenir compte du caractère aléatoire de plusieurs variables telles que les heures d'arrivée te de départ des véhicules considérés, de l'état de charge initial entre autres. Cette thèse introduit d'abord une approche globale et une optimisation locale afin d'établir un benchmark solide à des fins d'évaluation des techniques développées dans ce travail. Vient ensuite ce qui est la contribution majeure représentée par deux méthodologies d'optimisation lesquelles sont basées sur la théorie des jeux évolutionniste. Toutes les deux techniques introduisent la notion d'équité dans la répartition des tâches et des ressources entre VERs et donnent plus de poids aux contraintes liées au rôle de l'usager/propriétaire du véhicule et de son implication dans la gestion de la demande. En outre, l'une de ces méthodes comprend des solutions de rechange pour intégrer la charge rapide dans le processus de planification, tandis que l'autre méthode permet au VER de fournir des services auxiliaires comme le remplissage des creux de demande, l'effacement de la pointe le pic de rasage, active, d'équilibrer la puissance active ou encore de fournir de l'énergie réactive. / With a stock of Plug-in electric vehicles (PEVs) under continuous grow during the last ten years, concerns have been raised in terms of their charging infrastructure and their integration into the electricity distribution systems. If PEVs are considered as a fleet, both their impact and benefit for the electrical power system can be substantial. The general objective of this thesis is to propose and develop decentralized algorithms allowing to mitigate the most critical impacts expected to occur with the integration of PEVs. Taking into account the reversibility of chargers, the proposed algorithms are intended to consider re-injection of energy, in order to provide ancillary services to the grid. Moreover, algorithms are supposed to consider the stochastic nature of variables like the arrival and departure of PEVs, their initial state of charge, among others. Under these premises and taking into account earlier contributions, this thesis introduces a centralized approach and a distributed optimization approach in order to have a solid benchmark for the justification of the most elaborate contributions of the last part of this work. After these first experiences, the most important contribution of this thesis is represented in two decentralized optimization methodologies that were developed in details based on concepts of evolutionary game theory. Both of them introduce the concept of fairness in the allocation of tasks and resources among PEVs, and give more weight to social constraints represented on the role of PEV owners in the load managing process. Furthermore, one of these methodologies includes alternatives to integrate fast charging rates in the scheduling process, while the other methodology allows PEVs to provide ancillary services like valley filling, peak shaving, active and reactive power balancing, and reactive power supply.

Este trabalho apresenta um estudo exploratório do potencial do Paraguai e da Bolívia para o desenvolvimento de uma indústria de mobilidade elétrica, avaliando a viabilidade de substituição da frota convencional de veículos leves, propulsados atualmente por motores à combustão interna (VCI), por veículos elétricos (VE) equivalentes. O estudo leva em consideração critérios econômicos, energéticos, ambientais, geopolíticos e disponibilidade de recursos naturais. Por tanto, são consideradas duas situações de substituição. No primeiro, por veículos elétricos disponíveis no mercado internacional (VE) e, alternativamente, por veículos elétricos com baterias de Li-ion, resultado da implantação e desenvolvimento de uma indústria de VE`s e outra de baterias de íons de lítio (Li-ion). Aproveitando assim, as vantagens estratégicas de recursos naturais proveniente do Salar de Uyuni Bolívia e da disponibilidade de energia elétrica no Paraguai, considerando a utilização de parte da potência da usina de Itaipu, propriedade do Paraguai e atualmente cedida a seu sócio no empreendimento, o Brasil, bem como a partir das abundantes reservas de gás natural boliviano e o potencial de ambos os países para o desenvolvimento de projetos de fontes renováveis. A indústria de baterias para os automóveis elétricos pode ser localizada na Bolívia, perto dos recursos e com grandes avanços tecnológicos e investimentos do governo na área nos últimos anos, enquanto a de VEL pode ser sediada no Paraguai que na atualidade possui um grande interesse de investidores estrangeiros. Os governos poderiam fomentar o projeto com iniciativas, como subsídios no custo da energia utilizada para o abastecimento de VE`s, ou no custo de investimento inicial do veículo. Poderia também fornecer financiamento para a aquisição de VE`s a taxas menores as do mercado. As estimativas conduzidas neste trabalho mostram que uma eventual substituição da frota de veículos leves VCI por VE no período de 10 anos, geraria benefícios econômicos cumulativos para o Paraguai de US$ 1.031 milhões e para Bolívia de US$ 1.373 milhões. Essa substituição permitiria uma redução das emissões de Gases de Efeito estufa (GEE) de 8.398 GgCO2 para o Paraguai e 9.420 7 GgCO2 para a Bolívia. Inicialmente seriam produzidos 40 mil veículos por ano em cada país para atingir a escala necessária para a redução dos custos das BIL`s. A ideia subjacente é ganhar escala local para a cadeia de produção inicial e, em seguida, acessar os mercados de América latina e o mundo. / This document presents an exploratory study of the potential of Paraguay and Bolivia for the development of an electric mobility industry, assessing the viability of replacing conventional light vehicle fleet, currently driven by internal combustion engines (ICE), for electric vehicles (EV) equivalent. The study takes into account economic, energy, environmental, geopolitical, and availability of natural resources criteria. Therefore, two replacement situations are considered. In the first, for EV`s currently available in the international market and, alternatively, for electric vehicles with Li-ion batteries, due to the implementation and development of both, an electric vehicle and a lithium-ion batteries industry. Leveraging so, the strategic advantages of natural resources from the Salar de Uyuni - Bolivia and the availability of electricity. This considering the use of part of the over-potential of the Itaipu power plant, owned by Paraguay and currently assigned to his associated in the undertaken, Brazil, and from Bolivian natural gas abundant reserves and the potential of both countries for the development of renewable projects. The battery industry for electric cars could be located in Bolivia, because of the proximity of the lithium resources and the technological breakthroughs and investments in the area of the Bolivian government in recent years, while the LEV industry could be based in Paraguay, which currently has a great appeal for foreign investors. Governments could promote the project with incentives such as subsidies in the cost of energy used to supply EV`s, or the cost of the initial investment vehicle, it also could provide funding for the acquisition of EV`s at lower rates. Estimates conducted in this study in a ten year basis show that any replacement of the ICE light vehicle fleet for EV would generate cumulative economic benefits to Paraguay for US$ 1,031 million, and for Bolivia US$ 1,373 million. This substitution would reduce Greenhouse Gases emissions (GHG) in 8,398 GgCO2 for Paraguay and 9,420 GgCO2 for Bolivia. Initially, 40,000 vehicles per year in each country would be produced to achieve the scale required for reducing BIL`s costs. The underlying idea is to make local scale for initial production chain and then access the Latin America markets and the world.

Les véhicules électriques présentent désormais une alternative crédible aux véhicules équipés demoteurs à combustion interne. Ils sont plus propres et plus confortables à l’utilisation. La gestion del’énergie d’un véhicule électrique est actuellement focalisée sur le fonctionnement du moteur, principalconsommateur d’énergie, sans tenir compte du confort de l’utilisateur.Le travail présenté dans cette thèse intègre la prise en compte des préférences utilisateur au seinde la gestion de l’énergie des véhicules électriques. La contribution est réalisée par un canevas logicielnommé ORQA. Dans un premier temps, les organes du véhicule sont caractérisés par leurs besoinsénergétiques et par les niveaux de qualité de service qu’ils proposent. Un gestionnaire d’énergie estensuite intégré au système logiciel du véhicule. Il se base sur les caractéristiques des organes et propose àl’utilisateur une solution de configuration de trajet prenant en compte ses préférences d’utilisation ainsique d’éventuelles contraintes de temps et d’énergie. Cette solution définit des contraintes d’utilisationsur le moteur et les organes de confort lors du déroulement du trajet.Le gestionnaire d’énergie est exécuté au sein des systèmes embarqués du véhicule dont les platesformessont fortement contraintes. Pour satisfaire celles-ci, il est primordial de proposer une configurationefficace du gestionnaire d’énergie. L’intérêt et la validité de l’approche employée sont démontrésau travers de la comparaison entre la configuration originelle et une configuration optimisée sur deuxvéhicules exemples. / Electric vehicles are nowadays a viable alternative to vehicles built around an internal combustionengine. They offer a cleaner and more comfortable driving thanks to the electric engine. The energymanagement of an electric vehicle is usually focused on the engine operation, the biggest energyconsumer, thus ignoring the user comfort.The contribution presented in this thesis allows for the consideration of the user preferences insidethe energy management of electric vehicles. It takes shape with a framework named ORQA. First,the vehicle devices are characterised by their energy requirements and the quality levels they offer.An energy manager based on the devices characteristics is then integrated into the software systemof the vehicle. The manager offers the user a solution to configure a trip request. The configuration isbased on the usage preferences and optional constraints over duration and consumption. The solutiondefines a set of constraints on the motor and on the comfort-related devices during the trip execution.The energy manager is executed in the embedded systems of the vehicle which platforms are highlyconstrained. Thus, the energy manager’s implementation is optimised to satisfy the execution platformconstraints. The interest and the validity of the chosen approach are attested by the comparison ofthe original configuration and an optimised configuration on two example vehicles.