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汽车安全与节能学报 ›› 2011, Vol. 2 ›› Issue (2): 145-149.DOI: 10.3969/j.issn.1674-8484.2011.02.007

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两种用于估计电动汽车锂离子电池寿命的内阻方法

顾伟军, 孙泽昌, 魏学哲,  戴海峰   

  1. 同济大学 汽车学院,上海201804
  • 收稿日期:2011-03-02 出版日期:2011-07-11 发布日期:2011-07-11
  • 通讯作者: 孙泽昌,教授。E-mail:sunzechang@fcv-sh.com
  • 作者简介: 顾伟军(1976-),男(汉),博士。E-mail: guweijun76718@hotmail.com
  • 基金资助:

    上海市科委项目(09dz2201400); 博士点、博士后项目(20100072120026)

Two Methods Studying Internal Resistance for Lithium-ion Battery Life Estimation Used in EV

GU Weijun, SUN Zechang, WEI Xuezhe, DAI Haifeng   

  1. School of Automotive Studies, Tongji University, Shanghai 201804, China
  • Received:2011-03-02 Online:2011-07-11 Published:2011-07-11
  • Contact: 孙泽昌,教授。E-mail:sunzechang@fcv-sh.com
  • About author: 顾伟军(1976-),男(汉),博士。E-mail: guweijun76718@hotmail.com

摘要: 行人头部和风挡玻璃的碰撞是造成行人严重受伤和死亡的重要原因。本文进行了行人头部模块冲击风挡玻璃的有限元模拟和试验验证。有限元模型采用壳单元和体单元分别代表风挡玻璃的各夹层结构,假设中间夹层聚乙烯醇缩丁醛(PVB)薄膜不失效,玻璃层采用最大主应变准则模拟其失效。运用头部伤害指标(HIC),将有限元模拟结果与欧洲新车评价规程(Euro NCAP)行人头部模块撞击风挡玻璃试验进行对比分析。结果表明:从HIC值和撞击裂纹产生的范围来看,本模拟方法可以较准确地预测行人头部受伤程度和风挡玻璃的失效模式,可为安全评价和车辆开发提供借鉴。

关键词: 锂离子电池, 电池寿命, 内阻, 电化学交流阻抗图谱(EIS, 等效电路模型(ECM)

Abstract: Life prediction and performance state estimation online are important in the life stage for each lithium-ion battery in electrical vehicles (EVs). The battery capacity and internal resistance were used to compare the model structure and the chemical meaning of eigen-parameters of two basic approaches; one is the identification of specific parameters based on the Equivalent Circuit Model (ECM) in the time domain and the other is Electrochemical Impedance Spectroscopy (EIS) analysis in the frequency domain. The results show that the common inherent conflict between the nonlinearity of batteries and the linearization of the identification algorithm constrains the development of lithium-ion battery in EV. Therefore, proposals such as aging mechanism, new life modeling approach, hardware structures and algorithm improvement are given to resolve the difficulties encountered in the implementation of battery life estimation online for lithium-ion systems.

Key words:  lithium-ion battery, battery life, internal resistance, electrochemical impedance spectroscopy (EIS), equivalent  circuit model (ECM)

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