The work presented in this thesis focuses on the DC-DC conversion stage of on-board chargers and proposes a set of topologies with suitable switching techniques to mitigate certain issues arising as applied to EV charging.

The study results obtained from simulations show that a mobile autonomous charging station can provide many benefits. Apart from having a low upfront investment cost as compared to static chargers, a smart mobile charger also has reduced upgradation costs and allows greater flexibility.

Powering Plug-in Electric Vehicles (PEVs) with renewable energy results in cleaner and greener transportation. The potential of PEVs to participate in ancillary services and demand side management is explored in this research work.

The major motive of this thesis is to incorporate an appropriate and suitable controller to improve the efficiency and energy management on battery for Hybrid Electric Vehicle.

The objective of this work is the design and development of improved power quality based converters with improved efficiency and high power density for power factor correction at the front end of the conventional charger of light EVs.

The objective of this dissertation is to provide a robust analytical approach for supporting policymaking in prioritizing EV deployment to achieve both the environmental and economic goals. These findings help understanding of the spatiotemporal application of EV automotive and battery technologies from both the economic and techno perspective.

This thesis involves designing an autonomous micro-electric vehicle, a controller design, and implementing it on single-board controllers.

The study provides the results of scheduling under decentralized and centralized control in a multi-aggregator environment along with recommendations for applicability.

This research aims to model, simulate and optimize the components of the Solar Fuel Cell Battery Hybrid Electric Vehicle (SFCHBEV) system. the objective is realized in three steps: design and development of SFCBHEV system, development of an intelligent energy management system, and optimal component sizing of the system using meta-heuristic algorithms.

The outcome of the present research work is the development of a simple power sharing control strategy for the HESS based on battery and UC with a motive to improve the battery cycle life for an urban drive. The proposed control strategies, SRC and FBC show a battery cycle life improvement of 49.5% and 56% respectively which is comparable with the existing research work results.