Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Yusheng Zheng; Yunhong Che; Xiaosong Hu; Xin Sui; Daniel Ioan Stroe; Remus Teodorescu

doi:10.1016/j.pecs.2023.101120

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Yusheng Zheng, Yunhong Che, Xiaosong Hu^*, Xin Sui, Daniel Ioan Stroe, Remus Teodorescu^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

Abstract

Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being the most predominant energy storage devices, directly affect the safety, comfort, driving range, and reliability of many electric mobilities. Nevertheless, thermal-related issues of batteries such as potential thermal runaway, performance degradation at low temperatures, and accelerated aging still hinder the wider adoption of electric mobilities. To ensure safe, efficient, and reliable operations of lithium-ion batteries, monitoring their thermal states is critical to safety protection, performance optimization, as well as prognostics, and health management. Given insufficient onboard temperature sensors and their inability to measure battery internal temperature, accurate and timely temperature estimation is of particular importance to thermal state monitoring. Toward this end, this paper provides a comprehensive review of temperature estimation techniques in battery systems regarding their mechanism, framework, and representative studies. The potential metrics used to characterize battery thermal states are discussed in detail at first considering the spatiotemporal attributes of battery temperature, and the strengths and weaknesses of applying such metrics in battery management are also analyzed. Afterward, various temperature estimation methods, including impedance/resistance-based, thermal model-based, and data-driven estimations, are elucidated, analyzed, and compared in terms of their strengths, limitations, and potential improvements. Finally, the key challenges to battery thermal state monitoring in real applications are identified, and future opportunities for removing these barriers are presented and discussed.

Original language	English
Article number	101120
Journal	Progress in Energy and Combustion Science
Volume	100
ISSN	0360-1285
DOIs	https://doi.org/10.1016/j.pecs.2023.101120
Publication status	Published - Jan 2024

Bibliographical note

Funding Information:
This work was supported in part by the Villum Foundation for Smart Battery project (No. 222860 ), the National Natural Science Foundation of China (No. 52111530194 ) and the Fundamental Research Funds for the Central Universities ( 2022CDJDX-006 ).

Funding Information:
Xiaosong Hu received the Ph.D. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2012. He did scientific research and completed the Ph.D. dissertation in Automotive Research Center at the University of Michigan, Ann Arbor, MI, USA, between 2010 and 2012. He is currently a Professor with the Department of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China. He was a Postdoctoral Researcher with the Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA, between 2014 and 2015, as well as at the Swedish Hybrid Vehicle Center and the Department of Signals and Systems at Chalmers University of Technology, Gothenburg, Sweden, between 2012 and 2014. He was also a Visiting Postdoctoral Researcher with the Institute for Dynamic Systems and Control at Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2014. His research interests include modeling and control of alternative powertrains and energy storage systems. Dr. Hu has been the recipient of numerous prestigious awards/honors, including Web of Science Highly-Cited Researcher by Clarivate Analytics, SAE Environmental Excellence in Transportation Award, IEEE ITSS Young Researcher Award, SAE Ralph Teetor Educational Award, Emerging Sustainability Leaders Award, EU Marie Currie Fellowship, ASME DSCD Energy Systems Best Paper Award, and Beijing Best Ph.D. Dissertation Award. He is an IET Fellow.

Publisher Copyright:
© 2023 The Authors

Keywords

Battery management
Electric mobility
Lithium-ion batteries
Temperature estimation
Thermal state monitoring

Access to Document

10.1016/j.pecs.2023.101120

AUB Link

Search for the material in Aalborg University Library's search engine

Cite this

@article{6cacd72c0bcb44fc95f9c56d9de79e32,

title = "Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities",

abstract = "Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being the most predominant energy storage devices, directly affect the safety, comfort, driving range, and reliability of many electric mobilities. Nevertheless, thermal-related issues of batteries such as potential thermal runaway, performance degradation at low temperatures, and accelerated aging still hinder the wider adoption of electric mobilities. To ensure safe, efficient, and reliable operations of lithium-ion batteries, monitoring their thermal states is critical to safety protection, performance optimization, as well as prognostics, and health management. Given insufficient onboard temperature sensors and their inability to measure battery internal temperature, accurate and timely temperature estimation is of particular importance to thermal state monitoring. Toward this end, this paper provides a comprehensive review of temperature estimation techniques in battery systems regarding their mechanism, framework, and representative studies. The potential metrics used to characterize battery thermal states are discussed in detail at first considering the spatiotemporal attributes of battery temperature, and the strengths and weaknesses of applying such metrics in battery management are also analyzed. Afterward, various temperature estimation methods, including impedance/resistance-based, thermal model-based, and data-driven estimations, are elucidated, analyzed, and compared in terms of their strengths, limitations, and potential improvements. Finally, the key challenges to battery thermal state monitoring in real applications are identified, and future opportunities for removing these barriers are presented and discussed.",

keywords = "Battery management, Electric mobility, Lithium-ion batteries, Temperature estimation, Thermal state monitoring",

author = "Yusheng Zheng and Yunhong Che and Xiaosong Hu and Xin Sui and Stroe, {Daniel Ioan} and Remus Teodorescu",

note = "Funding Information: This work was supported in part by the Villum Foundation for Smart Battery project (No. 222860 ), the National Natural Science Foundation of China (No. 52111530194 ) and the Fundamental Research Funds for the Central Universities ( 2022CDJDX-006 ). Funding Information: Xiaosong Hu received the Ph.D. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2012. He did scientific research and completed the Ph.D. dissertation in Automotive Research Center at the University of Michigan, Ann Arbor, MI, USA, between 2010 and 2012. He is currently a Professor with the Department of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China. He was a Postdoctoral Researcher with the Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA, between 2014 and 2015, as well as at the Swedish Hybrid Vehicle Center and the Department of Signals and Systems at Chalmers University of Technology, Gothenburg, Sweden, between 2012 and 2014. He was also a Visiting Postdoctoral Researcher with the Institute for Dynamic Systems and Control at Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2014. His research interests include modeling and control of alternative powertrains and energy storage systems. Dr. Hu has been the recipient of numerous prestigious awards/honors, including Web of Science Highly-Cited Researcher by Clarivate Analytics, SAE Environmental Excellence in Transportation Award, IEEE ITSS Young Researcher Award, SAE Ralph Teetor Educational Award, Emerging Sustainability Leaders Award, EU Marie Currie Fellowship, ASME DSCD Energy Systems Best Paper Award, and Beijing Best Ph.D. Dissertation Award. He is an IET Fellow. Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2024",

month = jan,

doi = "10.1016/j.pecs.2023.101120",

language = "English",

volume = "100",

journal = "Progress in Energy and Combustion Science",

issn = "0360-1285",

publisher = "Pergamon Press",

}

TY - JOUR

T1 - Thermal state monitoring of lithium-ion batteries

T2 - Progress, challenges, and opportunities

AU - Zheng, Yusheng

AU - Che, Yunhong

AU - Hu, Xiaosong

AU - Sui, Xin

AU - Stroe, Daniel Ioan

AU - Teodorescu, Remus

N1 - Funding Information: This work was supported in part by the Villum Foundation for Smart Battery project (No. 222860 ), the National Natural Science Foundation of China (No. 52111530194 ) and the Fundamental Research Funds for the Central Universities ( 2022CDJDX-006 ). Funding Information: Xiaosong Hu received the Ph.D. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2012. He did scientific research and completed the Ph.D. dissertation in Automotive Research Center at the University of Michigan, Ann Arbor, MI, USA, between 2010 and 2012. He is currently a Professor with the Department of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China. He was a Postdoctoral Researcher with the Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA, between 2014 and 2015, as well as at the Swedish Hybrid Vehicle Center and the Department of Signals and Systems at Chalmers University of Technology, Gothenburg, Sweden, between 2012 and 2014. He was also a Visiting Postdoctoral Researcher with the Institute for Dynamic Systems and Control at Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2014. His research interests include modeling and control of alternative powertrains and energy storage systems. Dr. Hu has been the recipient of numerous prestigious awards/honors, including Web of Science Highly-Cited Researcher by Clarivate Analytics, SAE Environmental Excellence in Transportation Award, IEEE ITSS Young Researcher Award, SAE Ralph Teetor Educational Award, Emerging Sustainability Leaders Award, EU Marie Currie Fellowship, ASME DSCD Energy Systems Best Paper Award, and Beijing Best Ph.D. Dissertation Award. He is an IET Fellow. Publisher Copyright: © 2023 The Authors

PY - 2024/1

Y1 - 2024/1

N2 - Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being the most predominant energy storage devices, directly affect the safety, comfort, driving range, and reliability of many electric mobilities. Nevertheless, thermal-related issues of batteries such as potential thermal runaway, performance degradation at low temperatures, and accelerated aging still hinder the wider adoption of electric mobilities. To ensure safe, efficient, and reliable operations of lithium-ion batteries, monitoring their thermal states is critical to safety protection, performance optimization, as well as prognostics, and health management. Given insufficient onboard temperature sensors and their inability to measure battery internal temperature, accurate and timely temperature estimation is of particular importance to thermal state monitoring. Toward this end, this paper provides a comprehensive review of temperature estimation techniques in battery systems regarding their mechanism, framework, and representative studies. The potential metrics used to characterize battery thermal states are discussed in detail at first considering the spatiotemporal attributes of battery temperature, and the strengths and weaknesses of applying such metrics in battery management are also analyzed. Afterward, various temperature estimation methods, including impedance/resistance-based, thermal model-based, and data-driven estimations, are elucidated, analyzed, and compared in terms of their strengths, limitations, and potential improvements. Finally, the key challenges to battery thermal state monitoring in real applications are identified, and future opportunities for removing these barriers are presented and discussed.

AB - Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being the most predominant energy storage devices, directly affect the safety, comfort, driving range, and reliability of many electric mobilities. Nevertheless, thermal-related issues of batteries such as potential thermal runaway, performance degradation at low temperatures, and accelerated aging still hinder the wider adoption of electric mobilities. To ensure safe, efficient, and reliable operations of lithium-ion batteries, monitoring their thermal states is critical to safety protection, performance optimization, as well as prognostics, and health management. Given insufficient onboard temperature sensors and their inability to measure battery internal temperature, accurate and timely temperature estimation is of particular importance to thermal state monitoring. Toward this end, this paper provides a comprehensive review of temperature estimation techniques in battery systems regarding their mechanism, framework, and representative studies. The potential metrics used to characterize battery thermal states are discussed in detail at first considering the spatiotemporal attributes of battery temperature, and the strengths and weaknesses of applying such metrics in battery management are also analyzed. Afterward, various temperature estimation methods, including impedance/resistance-based, thermal model-based, and data-driven estimations, are elucidated, analyzed, and compared in terms of their strengths, limitations, and potential improvements. Finally, the key challenges to battery thermal state monitoring in real applications are identified, and future opportunities for removing these barriers are presented and discussed.

KW - Battery management

KW - Electric mobility

KW - Lithium-ion batteries

KW - Temperature estimation

KW - Thermal state monitoring

UR - http://www.scopus.com/inward/record.url?scp=85171970827&partnerID=8YFLogxK

U2 - 10.1016/j.pecs.2023.101120

DO - 10.1016/j.pecs.2023.101120

M3 - Review article

AN - SCOPUS:85171970827

SN - 0360-1285

VL - 100

JO - Progress in Energy and Combustion Science

JF - Progress in Energy and Combustion Science

M1 - 101120

ER -

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Abstract

Bibliographical note

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

CROSBAT: SMART BATTERY

Cite this

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Abstract

Bibliographical note

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

CROSBAT: SMART BATTERY

Cite this