Research shows that faulty power semi-conductor devices contribute to a significant portion of the total fault conditions in drive configurations. The semi-conductor switch faults are of two types, namely, open-circuit faults (OCF) and short-circuit faults (SCF). This study proposes four designs to achieve fault tolerance and reliability for electric vehicles (EVs) against faults occurring in switching devices.

This thesis revisits the induction motor (IM) and explores its application from a different perspective.

This research relates to the performance analysis of a speed control algorithm suitable for off-road electric vehicles through a STM32 microcontroller based embedded system and enabled by a cross-comparison with on-road vehicle to allow it to find a space in real-time vehicular systems.

The objective of this research work is to (a) develop a model for optimizing HVAC energy in an electric vehicle, (b) create a simulation model for predicting the traction energy and HVAC system energy consumption along with the travelling route, and (c) conduct experimental studies to validate the simulation model.

The study proposes a smart charging scheduling strategy meant for electric vehicles by employing Vehicle Ad Hoc Networks (VANET). The suggested smart change strategy identifies optimum charging stations for EVs so as to confirm minimum waiting, charging, and travel times.

The main purpose of this thesis is to present and propose Microstrip patch antennas which are compact in size, yet provides better bandwidth, better reflection coefficient and better gain.

Adoption of an aggregator regulated Micro Grid charging station (MGCS) would provide energy to acceptor GEV clients from donor GEV clients through Vehicle to Vehicle (V2V) power transfer. The MGCS would also be supported by a photovoltaic system and an auxiliary battery bank. This research work focuses on the utilization of GEVs’ in supporting the MGCS through the regulation of an on-board Intelligent Energy Management System (IEMS).

The present study was carried out based on a hypothesis which evaluated public health risks associated with the quiet nature of electric vehicles from the driver’s gender and age perspective. In addition, the ANOVA study was carried out to test the statistical significance of risk with respect to age, gender, vehicle usage, driving experience.

In this thesis an effort has been made to find the optimal size and location of DG for an unbalanced system. In this work, cost minimization and emission minimization has been emphasized while satisfying the microgrid constraints.

In this study, parameter estimation of the motor is carried out using Gray Wolf Optimization. The unknown parameters are adapted through optimization techniques using a cost function.