Analysis of lithium-ion battery thermal models inaccuracy caused by physical properties uncertainty

doi:10.1016/j.applthermaleng.2021.117513

GIEC OpenIR

	Analysis of lithium-ion battery thermal models inaccuracy caused by physical properties uncertainty
	Dong, Ti 1; Wang, Yiwei 1,2; Cao, Wenjiong 1; Zhang, Weijiang 1,2; Jiang, Fangming1
	2021-11-05
Source Publication	APPLIED THERMAL ENGINEERING
ISSN	1359-4311
Volume	198 Pages:13
Corresponding Author	Cao, Wenjiong(caowj@ms.giec.ac.cn) ; Jiang, Fangming(fm_jiang2000@yahoo.com)
Abstract	Thermal management is of upmost importance for the safe and efficient operation of lithium-ion batteries in electric vehicles. To this purpose it is required to develop reliable thermal models to assess the behavior of the battery under different operating and ambient conditions. In this work, it is proposed a three-dimensional thermal model of the 40Ah LiFePO4/graphite prismatic battery, which is a particular type of the lithium-ion battery (LIB), and it is analyzed the uncertainty related to the base data needed to run the model. The base data comprises, among others, the battery material physical properties and their dependence on the temperature, and the special "double-coated electrodes" structure. The charge and discharge processes of the 40Ah LiFePO4/ graphite prismatic battery are tested experimentally to verify the reliability of the thermal model. The deviation of the thermal model predictions caused by the uncertainty of the physical parameters of the battery is fully investigated numerically. The influence of physical parameters on the predictions is verified for the battery surface temperature and temperature difference between the battery interior and the surface. For the range of the properties tested the highest deviations of the predicted surface temperature and the inside and surface temperature difference are 0.14 degrees C and 0.93 degrees C during discharge at room temperature, respectively. Based on this investigation, it is proposed a simplified one-dimensional thermal model, which has the potential of being an expedite way of calculating the temperature distribution inside most commercial prismatic batteries. The comparison of the temperature distribution predictions using the three-dimensional thermal model and the simplified model indicates that the temperature gradient predictions obtained with the two models are in close agreement; the maximum relative difference of the two models is only 0.5%. The simplified thermal model, in what concerns the uncertainty of the physical properties, may provide an easy-to-use preliminary tool to evaluate the temperature distribution related to prismatic batteries.
Keyword	Lithium-ion battery Thermal model Physical parameters uncertainty Temperature distribution Battery management system
DOI	10.1016/j.applthermaleng.2021.117513
WOS Keyword	THERMOPHYSICAL PROPERTIES ; HEAT-GENERATION ; LIFEPO4 BATTERY ; DISCHARGE ; CONDUCTIVITY ; TEMPERATURE ; MANAGEMENT ; ISSUES ; CHARGE ; CAPACITY
Indexed By	SCI
Language	英语
Funding Project	China National Key RD Project[2018YFB0905300] ; China National Key RD Project[2018YFB0905303] ; Guangdong Key Labo-ratory of New and Renewable Energy Research and Development Fund[E1510302] ; Guangdong Key Labo-ratory of New and Renewable Energy Research and Development Fund[Y909jh1] ; Guangzhou Science and Technology Plan Project[202102080433]
WOS Research Area	Thermodynamics ; Energy & Fuels ; Engineering ; Mechanics
Funding Organization	China National Key RD Project ; Guangdong Key Labo-ratory of New and Renewable Energy Research and Development Fund ; Guangzhou Science and Technology Plan Project
WOS Subject	Thermodynamics ; Energy & Fuels ; Engineering, Mechanical ; Mechanics
WOS ID	WOS:000701777100005
Publisher	PERGAMON-ELSEVIER SCIENCE LTD
Citation statistics	Cited Times:4[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.giec.ac.cn/handle/344007/34802
Collection	中国科学院广州能源研究所
Corresponding Author	Cao, Wenjiong; Jiang, Fangming
Affiliation	1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangdong Key Lab New & Renewable Energy Res & De, CAS Key Lab Renewable Energy, Guangzhou 510640, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
First Author Affilication	GuangZhou Institute of Energy Conversion,Chinese Academy of Sciences
Recommended Citation GB/T 7714	Dong, Ti,Wang, Yiwei,Cao, Wenjiong,et al. Analysis of lithium-ion battery thermal models inaccuracy caused by physical properties uncertainty[J]. APPLIED THERMAL ENGINEERING,2021,198:13.
APA	Dong, Ti,Wang, Yiwei,Cao, Wenjiong,Zhang, Weijiang,&Jiang, Fangming.(2021).Analysis of lithium-ion battery thermal models inaccuracy caused by physical properties uncertainty.APPLIED THERMAL ENGINEERING,198,13.
MLA	Dong, Ti,et al."Analysis of lithium-ion battery thermal models inaccuracy caused by physical properties uncertainty".APPLIED THERMAL ENGINEERING 198(2021):13.

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