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Battery management algorithm for electric vehicles

Record Type:	Electronic resources : Monograph/item
Title/Author:	Battery management algorithm for electric vehiclesby Rui Xiong.
Author:	Xiong, Rui.
Published:	Singapore :Springer Singapore :2020.
Description:	xvii, 297 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Battery management systems.
Online resource:	https://doi.org/10.1007/978-981-15-0248-4
ISBN:	9789811502484$q(electronic bk.)

Battery management algorithm for electric vehicles
Xiong, Rui.

Battery management algorithm for electric vehicles[electronic resource] /by Rui Xiong. - Singapore :Springer Singapore :2020. - xvii, 297 p. :ill. (some col.), digital ;24 cm.

Overview of battery and its management -- Battery test -- Modeling theory of lithium-ion batteries -- Battery SOC and SOH estimation -- State estimation of battery system -- Remaining useful life prediction of lithium-ion batteries -- Low-temperature heating and optimal charging methods for lithium-ion batteries -- Algorithm development, test and evaluation.

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.

ISBN: 9789811502484$q(electronic bk.)

Standard No.: 10.1007/978-981-15-0248-4doiSubjects--Topical Terms:

866110
Battery management systems.

LC Class. No.: TL220 / .X56 2020

Dewey Class. No.: 621.3126

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505 0 $a Overview of battery and its management -- Battery test -- Modeling theory of lithium-ion batteries -- Battery SOC and SOH estimation -- State estimation of battery system -- Remaining useful life prediction of lithium-ion batteries -- Low-temperature heating and optimal charging methods for lithium-ion batteries -- Algorithm development, test and evaluation.
520 $a 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.
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