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锂离子电池多因素动态生热率模型
引用本文:潘海鸿,李熠婧,张沫,梁刚,陈琳.锂离子电池多因素动态生热率模型[J].汽车工程,2021(2):204-209,217.
作者姓名:潘海鸿  李熠婧  张沫  梁刚  陈琳
作者单位:广西大学机械工程学院;广西电化学能源材料重点实验室
基金项目:国家自然科学基金(51667006)资助。
摘    要:为提高生热率模型的仿真精度,基于Bernardi生热率模型车用锂电池实际应用,提出建立多因素动态生热率模型。首先,综合考虑温度、荷电状态和充放电倍率对Bernardi生热率模型的参数动态影响;其次,利用实验数据建立融合多种影响因素的动态内阻和动态温熵系数的数学模型,将这两个数学模型代入Bernardi生热率模型构建多因素动态生热率模型;然后,开发该模型充电、放电和充放电循环3种工况的仿真程序并仿真电池的动态温度;最后,将电池温度的仿真值与实验值对比验证,结果表明所建立的动态生热率模型能够准确仿真电池在不同工况下的动态温度,其误差小于3.25℃。

关 键 词:锂离子电池  多因素  动态生热率  动态内阻  动态温熵系数

Multiple Factors Dynamic Heat Generation Rate Model of Lithium⁃ion Battery
Pan Haihong,Li Yijing,Zhang Mo,Liang Gang,Chen Lin.Multiple Factors Dynamic Heat Generation Rate Model of Lithium⁃ion Battery[J].Automotive Engineering,2021(2):204-209,217.
Authors:Pan Haihong  Li Yijing  Zhang Mo  Liang Gang  Chen Lin
Institution:(School of Mechanical Engineering,Guangxi University,Nanning 530004;Guangxi Key Laboratory of Electrochemical Energy Materials,Nanning 530004)
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 mod?els of dynamic internal resistance and dynamic entropy coefficient integrating multiple influencing factors are estab?lished 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 genera?tion rate model can accurately simulate the dynamic temperature of the battery under different working conditions,with the error less than 3.25℃.
Keywords:lithium?ion battery  multiple factors  dynamic heat generation rate  dynamic internal resistance  dynamic entropy coefficient
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