Ajay Kumar & Parveen Kumar 
Smart Electric and Hybrid Vehicles [EPUB ebook] 
Fundamentals, Strategies and Applications

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This book presents an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives, and fuel-cell-based and plug-in smart electric and hybrid vehicles. It provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and in-depth knowledge of power electronics tools in smart electric and hybrid vehicles. This book compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science, and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized without harmful emissions over the entire lifecycle of a vehicle and how reliance on fossil fuels can be reduced.Features: Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehicles Presents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehicles Highlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defense, and medical Covers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehicles Showcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and electronics engineering, computer engineering, and automotive engineering.

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Lingua Inglese ● Formato EPUB ● Pagine 238 ● ISBN 9781040095669 ● Editore Ajay Kumar & Parveen Kumar ● Casa editrice CRC Press ● Pubblicato 2024 ● Scaricabile 3 volte ● Moneta EUR ● ID 9515474 ● Protezione dalla copia Adobe DRM
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