[1]林福兴,吴国庆,陈丙三,等.方形锂离子电池热行为集总建模仿真与实验[J].福建工程学院学报,2023,21(01):49-54.[doi:10.3969/j.issn.1672-4348.2023.01.008]
　LIN Fuxing,WU Guoqing,CHEN Bingsan,et al.Thermal behavior of square lithiumion batteries based on lumped model[J].Journal of FuJian University of Technology,2023,21(01):49-54.[doi:10.3969/j.issn.1672-4348.2023.01.008]
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方形锂离子电池热行为集总建模仿真与实验()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第21卷
期数:
2023年01期
页码:
49-54
栏目:
出版日期:
2023-02-25

文章信息/Info

Title:
Thermal behavior of square lithiumion batteries based on lumped model
作者:
林福兴; 吴国庆; 陈丙三; 范成龙
福建省智能加工技术及装备重点实验室
Author(s):
LIN Fuxing;  WU Guoqing;  CHEN Bingsan;  FAN Chenglong
Fujian Key Laboratory of Intelligent Machining Technology and Equipment, Fujian University of Technology
关键词:
单体方形锂离子电池; 热建模; 集总模型; 热物性参数; 有限元分析
Keywords:
single square lithiumion battery;  thermal modeling;  lumped model;  thermophysical parameter;  finite element analysis
分类号:
U262.44
DOI:
10.3969/j.issn.1672-4348.2023.01.008
文献标志码:
A
摘要:
针对锂离子电池电化学产热机理复杂、热分析建模参数多等问题，文章引入集总模型思想，建立单体方形电池少参化产热模型。通过大量实验、数据分析，辩识电池热物性参数，获得基于真实物理参数的热行为仿真集总模型。对比单体电池在不同放电倍率下温度场的实验数据和仿真结果发现:在0.2、0.5、1 C 恒流放电工况下，集总模型对电池表面温度的预测误差均低于0.55 ℃，误差率小于1.94%，达到实际工程预测精度要求。该研究结果可为商业化锂离子电池热行为分析提供参考。
Abstract:
To address the problems of complex electrochemical heat generation mechanism of lithiumion batteries and multiple parameters of thermal analysis modeling, the idea of lumped model was introduced to establish a minimal parametric heat generation model for single square battery. The thermal parameters of the battery were identified through a large number of experiments and data analysis, and a lumped model of the thermal behavior based on real physical parameters was obtained. Comparing the experimental data and simulation results of the temperature field of single battery at different discharge rates, it is found that the errors of the lumped model for the prediction of the battery surface temperature are all lower than 0.55 ℃ and the error rate is less than 1.94% under 0.2C, 0.5C and 1C constant current discharge conditions, which meets the requirement of actual engineering prediction accuracy. This study can provide some credible references for the analysis of the thermal behavior of commercial lithiumion batteries.

参考文献/References:

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更新日期/Last Update: 2023-02-25