锂离子电池多因素动态生热率模型

doi:10.19562/j.chinasae.qcgc.2021.02.007

Abstract

Abstract:

In order to improve the simulation accuracy of the heat generation rate model， a multiple factors dynamic heat generation rate model is proposed based on the practical application of the Bernardi heat generation rate model for vehicle lithium?ion battery. First， the model integrates the dynamic effects of temperature， state of charge and charge?discharge rate on the parameters of Bernardi heat generation rate model. The mathematical models of dynamic internal resistance and dynamic entropy coefficient integrating multiple influencing factors are established based on the experimental data， which are substituted into Bernardi heat generation rate model to construct a multiple factors dynamic heat generation rate model. Then， the simulation program of charge， discharge and charge?discharge cycle is developed and the dynamic temperature of the battery is simulated. Finally， the simulation value of the battery temperature is verified by the experimental value. The results show that the dynamic heat generation rate model can accurately simulate the dynamic temperature of the battery under different working conditions， with the error less than 3.25 ℃.

Key words: lithium?ion battery, multiple factors, dynamic heat generation rate, dynamic internal resistance, dynamic entropy coefficient

Haihong Pan,Yijing Li,Mo Zhang,Gang Liang,Lin Chen. Multiple Factors Dynamic Heat Generation Rate Model of Lithium‑ion Battery[J].Automotive Engineering, 2021, 43(2): 204-209.

Figures/Tables 10

References 15

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工况	倍率	Max.E /℃	MAE/ ℃	RMSE/ ℃	MARE
恒流充电	0.5C	0.57	0.249	0.277	1.08%
	0.75C	0.78	0.351	0.419	1.44%
	1C	0.96	0.381	0.428	1.48%
恒流放电	1C	1.63	0.676	0.722	2.54%
	2C	2.39	1.038	1.112	2.53%
	3C	3.19	1.135	1.216	2.71%
循环充放电	1C充3C放	3.25	1.328	1.471	2.91%

Multiple Factors Dynamic Heat Generation Rate Model of Lithium‑ion Battery

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