The objective of this research is to develop suitable models to simulate and analyse Electrical Vehicle (EV) power-trains to identify and improve some of the deficiencies of EVs and investigate new system architectures. Although some electro-chemical batteries improvements have lately been achieved in specific-energy, the power density is still low. Therefore, an efficient, cost-effective and high power density support unit could facilitate EV competitiveness compared to conventional internal combustion engine powered vehicles in the near future. The Na-Ni-Cl2, or ZEBRA battery as it is most commonly known, has good energy and power densities; it is very promising electro-chemical battery candidate for EV's. The thesis presents a detail simulation model for the ZEBRA technology and investigates its application in an EV power-train with regard to state-of-charge and voltage transients. Unlike other battery systems, the ZEBRA technology can sustain about 5-10% of failed cells. While this is advantageous in single series string or single battery operation it is problematic when higher numbers of batteries are connected in parallel. The simulation model is used to investigate faulted operation of parallel battery configurations. A non-linear capacitance versus voltage function is implemented for the supercapacitor model which yields good energy and terminal voltage predictions when the supercapacitor is cycled over dynamic regimes common to EV applications. A thermal model is also included. Multiple energy source systems are modelled and studied in the form of an energy dense ZEBRA battery connected in parallel with a power dense supercapacitor system. The combination is shown to increase available power, reduce the maximum power demanded from the battery and decrease battery internal power loss. Consequently, battery life would be increased and more energy would be recovered from regenerative braking, enhancing the energy conversion efficiency of the power-train.A combination of ICE and ZEBRA battery is implemented as a range extender for London taxi driving from Manchester to London. The hybridisation ratio of the system is discussed and applied to fulfil the requirement with minimum emissions. This study offers a suitable model for different energy sources, and then optimises the vehicle energy storage combination to realize its full potential. The developed model is used to assess different energy source combinations in order to achieve an energy efficient combination that provides an improved vehicle performance, and, importantly, to understand the energy source interconnection issues in terms of energy flow and circuit transients.

Avec l’électrification des moyens de transport, nous constatons ces dernières années une augmentation de l’utilisation de l’électronique de puissance et de la puissance mise en jeu dans les véhicules électriques ou hybrides (VEH). A cela s’ajoute une intégration de cette électronique dans des milieux de plus en plus compacts, a conduit à l’apparition de problèmes de la compatibilité électromagnétique (CEM) et d’exposition aux champs électromagnétiques. Pour réduire les effets indésirables des champs électromagnétiques, le blindage électromagnétique est l’une des solutions envisageables. Ces travaux de thèse portent essentiellement sur le blindage magnétique basse fréquence en champ proche des boîtiers contenant des équipements d’électroniques de puissance. Généralement, les boîtiers sont équipés d’ouvertures et de fentes ce qui conduit à une dégradation des performances du blindage magnétique. Nous nous intéressons dans ces travaux de thèse au développement de modèles permettant la prédiction de l’efficacité de blindage magnétique en tenant compte des effets de la diffusion, des ouvertures et des fentes. Ces différents modèles permettront aux concepteurs de maitriser les contraintes liées au blindage magnétique des dispositifs d’électroniques embarquées à bord des véhicules. L’aptitude ou la capacité des méthodes numériques à résoudre les problèmes de diffusion des champs magnétiques dans les tôles minces en présence et en absence d'ouvertures est présentée. Dans le cas de boîtiers munis de fentes de faibles dimensions, des approches basées sur la méthode des moments magnétiques sont développées pour la prédiction de l’efficacité de blindage magnétique. Des bancs de test ont été développés pour valider ces modèles. Dans le cas de fentes de dimensions quelconques, des approches dites "hybrides" associant des méthodes numériques et analytiques ont été développées et validées expérimentalement. Les approches développées ont été appliquées dans le cadre de l’étude d’une application industrielle. / The electrification of transport means, in recent years leads to an increase of the use of the power electronics and the power involved in electric or hybrid vehicles (HEV). With the integration of electronic devices in more compact environments, appear problems of the electromagnetic compatibility (EMC) and the electromagnetic field exposure. To reduce the effects of electromagnetic fields, electromagnetic shielding is one of the possible solutions.This thesis focus mainly on the magnetic shielding at low frequency in near field of enclosures containing power electronics. Usually, the enclosures are equipped with openings and slots which results in degraded performance of the magnetic shield. We develop models for predicting the magnetic shielding taking into account the effects of diffusion, openings and slots.These models will allow designers to control the magnetic shielding constraints of embedded electronic devices in vehicles. The ability or capability of numerical methods to solve the problems of the magnetic fields diffusion in thin sheets in the presence and absence of openings is presented. In the case of enclosures with slots of small dimensions's, magnetic moments approaches are developed for the prediction of magnetic shielding effectiveness. Test benches are developed to validate these models. In the general case, so-called “hybrid” approaches combining the analytical and numerical methods are developed and experimentally validated. The developed approaches are also applied in the framework of an industrial application.