This thesis presents the application of robotics for the disassembly of electric vehicle lithium-ion battery (LIB) packs for recycling. Electric vehicle battery systems can be expensive and dangerous to disassemble, therefore making it cost inefficient to recycle them currently.

The present study proposed to design, develop, and fabricate a single-phase non-isolated bidirectional on-board charger, with grid support functionalities.

This master thesis report has studied several methods to improve the energy consumption of an electric vehicle equipped with two permanent magnet synchronous motors. Two driving torque distribution maps are developed based on efficiency map and load transfer, respectively. The drive torque distribution map based on the efficiency map shows up to 8.94% energy saving.

This thesis proposes three fast charging methodologies for Li-ion batteries employed with a controller.

The research work aimed to understand battery electric vehicle application with special focus on induction motor due to its magnetless construction and low cost. The work also focused on the selection of suitable power electronic converter and control scheme.

The optimized Extended Kalman Filter (EKF) is proposed in this work. As a first step, an optimization algorithm is used to obtain the optimal values for covariance matrices. In the second step, optimized matrix values are injected into the EKF, which confirms the filter accuracy in the SOC estimation.

This study shows DSTATCOM integrated charging station maintains the source current THD within the allowable limit and the DVR-FRTC system maintains the load voltage at a predefined value. Moreover, the power-sharing strategy based on IT2 FLC performs well under different generation and load scenarios.

This thesis aims at different energy management approaches to integrate renewable energy resources and plug-in electric vehicles in a microgrid environment.

The cell balancing mechanism is meant to extend battery life and safety. Cell balancing systems are broadly classified as passive and active cell balancing. An intelligent optimized ML based passive cell balancing scheme is presented in this work. To select a better balancing scheme, an enhanced passive cell balancing is implemented through model-based simulations and circuit implementations.

The thesis explores a platform for design of a thermionic regenerator applying reverse engineering, development of a thermionic regeneration system (TRS), Integration of the TRS with hybrid electric vehicle for improving fuel economy and drive range i.e. vehicle s overall efficiency.