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FSEC赛车动力电池生热模型及热特性分析

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为研究钴酸锂电池在大学生电动方程式比赛过程中的热特性规律,通过混合脉冲功率特性(HPPC)实验获得不同温度和不同电池荷电状态(soc)下的电池内阻;将电池内阻和温度、soc值进行拟合,由平衡电势法得到电池的熵热系数,并根据Bernardi方程建立钴酸锂电池的生热模型.研究了温度和熵热系数对生热模型的影响,将建立的生热模型仿真数据和温升数据进行对比,最大误差小于4.1%,与其他参考算法相比具有更高的准确性.对赛车不同比赛工况下电池模组的热特性仿真和分析结果表明,最高温度大于35℃、最大温差超过5℃时,需要为电池模组设计冷却系统.
Thermal generation model and thermal characteristic analysis of FSEC racing car power battery
To investigate the thermal characteristics of lithium cobalt acid battery in the process of FSEC,the internal resistance of the battery under different temperatures and different soc(battery charged state)is obtained through HPPC experiment(mixed pulse power characteristic test).The internal resistance of the battery is fitted with temperature and soc values,and then the entropy thermal coefficient of the battery is obtained by balancing potential method.Then,a heat generation model of lithium cobalt oxide battery is built according to Bernardi equation.Compared with most previous studies with sole consideration of the impacts of soc on the battery heat generation model,we investigate the influence of temperature and entropy heat coefficient on the heat generation model.The simulation data of our heat generation model is compared with the temperature rise data.The maximum error is less than 4.1%.Compared with the results of previous research,our heat generation model achieves a higher accuracy.Finally,the thermal characteristics of the battery module under different racing conditions are simulated and analyzed.The maximum temperature is higher than 35℃,and the maximum temperature difference is over 5℃.It is imperative to design a proper cooling system for the battery module.

lithium cobalt oxide batteryHPPC experimentsCFD simulationsbattery thermal character-istics

苏清华、周萌、李乐

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北京信息科技大学 现代测控技术教育部重点实验室,北京 100192

钴酸锂电池 HPPC内阻实验 CFD仿真 电池热特性

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(23)