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Battery management algorithm for electric vehicles

Author: Rui Xiong
Publisher: Singapore : Springer ; [Beijing] : China Machine Press, [2020]
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Rui Xiong
ISBN: 981150248X 9789811502484
OCLC Number: 1121267494
Description: 1 online resource (xvii, 297 p.) : illustrations (some color)
Contents: 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.
Responsibility: Rui Xiong.

Abstract:

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  Read more...

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