In this study, a multifunctional artificial neural network was proposed for predicting city, highway, and combined electric consumption simultaneously.

Battery Energy focuses on interdisciplinary research in advanced energy materials, with an emphasis on batteries and their empowerment processes. 

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.

The study shows RDG (Renewable Distributed Generation) and CB (Capacitor Banks) integrated system has minimized power loss and enhanced voltage profiles than RDG integration alone. By integrating RDG, the performance of RDS is further enhanced which results in minimizing the amount of Energy Not Supplied (ENS) provided.

This paper discusses the results of research on the braking efficiency of the electric vehicle MG ZS EV.

An Advance Driver Assistance System of a vehicle collects measurements for a driving event, including GPS coordinates for a specific location from the EH system, and logs the data into an on-vehicle database.

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.

This thesis brings in a solution for effective integration of the solar photovoltaic and thermal technologies with the EV industry to minimise carbon emission. The integration of the solar PV panels on EV rooftop and thermal collectors in the manufacturing section of the EV industry is considered as the first and second research objectives respectively.

This paper conducted two online experiments to explore the influence of green advertising on consumers' intention to purchase EVs to address the abovementioned limitations.

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.