两种用于估计电动汽车锂离子电池寿命的内阻方法(英文)

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

寿命预测及性能状态的在线估计在电动汽车锂离子电池的各寿命阶段至为关键。从模型结构和特征参数的化学意义角度以电池的容量与内阻成份比较了两种用于车载动力锂离子电池内阻的研究方法:时域中的等效电路模型(ECM)及频域中的电化学交流阻抗图谱分析法。电池自身的非线性及常用辨识算法的线性化本质之间的矛盾限制了以上两种方法在车用动力电池系统中的实际研发与使用。为解决锂离子电池系统实车使用中所面临的实施困难,提出了一些如老化机理及寿命建模的研究方法、实车硬件实施与辨识算法的改进建议等。

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.