Battery State Estimation: Methods and models (Energy Engineering)

297 Pages·2022·18.607 MB·English

by  Shunli Wang (editor)

IETENERGY ENGINEERING SERIES 212
Battery State Estimation
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Battery State Estimation
Methods and models
Edited by
Shunli Wang
The Institution of Engineering andTechnology
PublishedbyTheInstitutionofEngineeringandTechnology,London,UnitedKingdom
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†TheInstitutionofEngineeringandTechnology2021
Firstpublished2021
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Contents
Abouttheeditor xv
Foreword xvii
Preface xix
Listofcontributors xxi
1 Introduction 1
1.1 State of the art 1
1.2 Application requirements 4
1.3 Research methodology 5
1.4 Research status and direction 6
1.5 Chapter summary 9
Acknowledgment 9
2 Mechanismandinfluencing factors of lithium-ion batteries 11
2.1 Introduction 11
2.2 Operating mechanism 13
2.2.1 Brief introduction 13
2.2.2 Battery composition 15
2.2.3 Working principle 16
2.2.4 Cycling lifespan 17
2.3 Battery characteristics 17
2.3.1 State of power 17
2.3.2 Internal resistance 18
2.3.3 Open-circuit voltage 18
2.3.4 Self-discharge current rate 19
2.3.5 Terminal voltage 19
2.3.6 Current heat energy 19
2.3.7 Capacity variation 20
2.3.8 Temperature change 20
2.4 Critical indicators for battery state estimation 21
2.4.1 Description of major parameters 21
2.4.2 Temperature effects 22
2.4.3 Charge–discharge current rate 22
2.4.4 Aging degree 22
2.4.5 Self-discharge rate 23