An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission’s Horizon 2020 program. Consequently, progress can be seen as a result of the huge amount of ongoing research currently being conducted in the emerging EV/HEV sector. Hence, the technology needs to be supported by bringing an academic perspective to industrial demands in order to aid the development of proper documentation to direct this progress.

With this goal in mind, this book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, this book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques.

Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.

Among the contributors to this book are those from various esteemed national and international institutions; namely, Tanta University, Egypt; NIT Mizoram, NIT Meghalaya and NIT Pondicherry, India; Anna University Chennai, India; Thiagarajar College of Engineering, Madurai, India; and Vellore Institute of Technology, Vellore, India. I would like to thank all the contributors for their valuable research contributions and time. My sincere thanks to Vellore Institute of Technology for providing all the support necessary to make this book a reality. I would also like to extend my heartfelt gratitude to the Scrivener Publishing team for providing endless support over the course of the compilation of this book.