Can I read Battery Management Algorithm for Electric Vehicles on EtoBox?

Battery Management Algorithm for Electric Vehicles by Rui Xiong; Ji xie gong ye chu ban she.; Springer Nature is a nonfiction available to read on EtoBox.

What is Battery Management Algorithm for Electric Vehicles about?

This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.

Who reads Battery Management Algorithm for Electric Vehicles?

Author

Rui Xiong; Ji xie gong ye chu ban she.; Springer Nature

Publisher

China Machine Press : Springer Nature Singapore Pte Ltd

Published

2020

Language

EN

ISBN

9789811502484

Category

nonfiction

Subjects

Engineering, Management, Automotive