Smart Electric and Hybrid Vehicles Design, Modeling, and Assessment by Industry 4.0 Approaches PDF

In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future.

Features:

• This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment.

• Discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles.

• Presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles.

• Highlights the cyber and functional security of intelligent and hybrid vehicles.

• Explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles.

• Covers the Internet of Things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles.

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

Authors: Ajay Kumar, D. K. Rajak, Parveen Kumar, Sarita Rathee