An online heat generation estimation method for lithium-ion batteries using dual-temperature measurements

被引：31

作者：

Zhang, Jianan ^{[1
,2
,3
,4
]}

Yang, Xiao-Guang ^{[2
,3
]}

Sun, Fengchun ^{[1
,4
]}

Wang, Zhenpo ^{[1
,4
]}

Wang, Chao-Yang ^{[2
,3
]}

机构：

[1] Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China

[2] Penn State Univ, Electrochem Engine Ctr ECEC, University Pk, PA 16802 USA

[3] Penn State Univ, Dept Mech Engn, University Pk, PA 16802 USA

[4] Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100081, Peoples R China

来源：

APPLIED ENERGY | 2020年 / 272卷

基金：

中国国家自然科学基金;

关键词：

Lithium-ion battery; Heat generation estimation; Temperature measurement; Thermal model; PARTICLE SWARM OPTIMIZATION; INTERNAL TEMPERATURE; ENERGY-BALANCE; MODEL; MANAGEMENT; CELL;

D O I：

10.1016/j.apenergy.2020.115262

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Estimation of heat generation in lithium-ion batteries (LiBs) is critical for enhancing battery performance and safety. Here, we present a method for estimating total heat generation in LiBs based on dual-temperature measurement (DTM) and a two-state thermal model, which is both accurate and fast for online applications. We demonstrate that the algorithm can keep track of the heat generation rate in real-time under scenarios of designed multi-stepwise heat generation profile and regular fast charging processes. Moreover, the algorithm requires no knowledge of the thermal boundary conditions, providing robustness against changes in convection conditions and ambient temperatures. Finally, this method can capture heat generation induced by abnormal exothermic reactions, which could be a useful tool for detection of battery thermal failures.

引用

页数：12

共 34 条

[1] Thermal modeling and design considerations of lithium-ion batteries [J].

Al Hallaj, S ;

Maleki, H ;

Hong, JS ;

Selman, JR .

JOURNAL OF POWER SOURCES, 1999, 83 (1-2) :1-8

[2]

Alifanov OM., 2012, Inverse Heat Transfer Problems

[3] A GENERAL ENERGY-BALANCE FOR BATTERY SYSTEMS [J].

BERNARDI, D ;

PAWLIKOWSKI, E ;

NEWMAN, J .

JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1985, 132 (01) :5-12

[4] Measurements of heat generation in prismatic Li-ion batteries [J].

Chen, Kaiwei ;

Unsworth, Grant ;

Li, Xianguo .

JOURNAL OF POWER SOURCES, 2014, 261 :28-37

[5] Model-based real-time thermal fault diagnosis of Lithium-ion batteries [J].

Dey, Satadru ;

Biron, Zoleikha Abdollahi ;

Tatipamula, Sagar ;

Das, Nabarun ;

Mohon, Sara ;

Ayalew, Beshah ;

Pisu, Pierluigi .

CONTROL ENGINEERING PRACTICE, 2016, 56 :37-48

[6] Heat generation rate measurement in a Li-ion cell at large C-rates through temperature and heat flux measurements [J].

Drake, S. J. ;

Martin, M. ;

Wetz, D. A. ;

Ostanek, J. K. ;

Miller, S. P. ;

Heinzel, J. M. ;

Jain, A. .

JOURNAL OF POWER SOURCES, 2015, 285 :266-273

[7]

Eberhart RC, 2001, IEEE C EVOL COMPUTAT, P81, DOI 10.1109/CEC.2001.934374

[8] Combined electrochemical, heat generation, and thermal model for large prismatic lithium-ion batteries in real-time applications [J].

Farag, Mohammed ;

Sweity, Haitham ;

Fleckenstein, Matthias ;

Habibi, Saeid .

JOURNAL OF POWER SOURCES, 2017, 360 :618-633

[9]

Gamma Technologies, 2019, GT AUTOLION

[10] A theoretical and computational study of lithium-ion battery thermal management for electric vehicles using heat pipes [J].

Greco, Angelo ;

Cao, Dongpu ;

Jiang, Xi ;

Yang, Hong .

JOURNAL OF POWER SOURCES, 2014, 257 :344-355

← 1 2 3 4 →