Battery modelling methods for electric vehicles-A review

Cheng Zhang; Kang Li; Sean Mcloone; Zhile Yang

doi:10.1109/ECC.2014.6862541

Battery modelling methods for electric vehicles-A review

Cheng Zhang, Kang Li, Sean Mcloone, Zhile Yang

Queen's University Belfast

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

139 Citations (Scopus)

Abstract

Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and in developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.

Original language	English
Title of host publication	2014 European Control Conference (ECC)
Publisher	IEEE
Pages	2673-2678
Number of pages	6
ISBN (Print)	978-3-9524269-1-3
DOIs	https://doi.org/10.1109/ECC.2014.6862541
Publication status	Published - 24 Jul 2014
Externally published	Yes
Event	2014 European Control Conference - Strasbourg, France Duration: 24 Jun 2014 → 27 Jun 2014

Conference

Conference	2014 European Control Conference
Abbreviated title	ECC
Country/Territory	France
City	Strasbourg
Period	24/06/14 → 27/06/14

Bibliographical note

© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

Keywords

Batteries
Mathematical model
Integrated circuit modeling
Analytical models
System-on-chip
Temperature measurement
Computational modeling

Access to Document

10.1109/ECC.2014.6862541

Cite this

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title = "Battery modelling methods for electric vehicles-A review",

abstract = "Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and in developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.",

keywords = "Batteries, Mathematical model, Integrated circuit modeling, Analytical models, System-on-chip, Temperature measurement, Computational modeling",

author = "Cheng Zhang and Kang Li and Sean Mcloone and Zhile Yang",

note = "{\textcopyright} 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. ; 2014 European Control Conference, ECC ; Conference date: 24-06-2014 Through 27-06-2014",

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AU - Li, Kang

AU - Mcloone, Sean

AU - Yang, Zhile

N1 - © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

PY - 2014/7/24

Y1 - 2014/7/24

N2 - Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and in developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.

AB - Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and in developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.

KW - Batteries

KW - Mathematical model

KW - Integrated circuit modeling

KW - Analytical models

KW - System-on-chip

KW - Temperature measurement

KW - Computational modeling

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DO - 10.1109/ECC.2014.6862541

M3 - Conference proceeding

SN - 978-3-9524269-1-3

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EP - 2678

BT - 2014 European Control Conference (ECC)

PB - IEEE

T2 - 2014 European Control Conference

Y2 - 24 June 2014 through 27 June 2014

ER -

Battery modelling methods for electric vehicles-A review

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this