基于外部观测温度的锂离子电池电极温度在线实时预测系统

Online real-time prediction system for electrode temperature of Lithium-Ion battery based on external observation temperature

为有效估算锂离子电池内部电极温度,基于经典热传导理论及能量守恒定律,建立以时间、环境温度、单体电流为输入参量的电池内部电极温度预测模型,将控制方程进行离散化处理,采用恒流充放电试验有效辨识模型参数。试验与仿真结果表明:该模型计算精度高,可在线实时、准确预测锂离子电池电极温度,为纯电动汽车动力电池组合的“电极材料-壳体”精确均衡热管理研究提供可靠依据。

In order to effectively estimate the internal electrode temperature of Lithium-Ion battery,based on the classical theory of heat conduction and energy conservation law,a prediction model of internal electrode temperature of Lithium-Ion battery is established based on input parameters of time,ambient temperature and monomer current.The control equation is discretized and the constant current charge-discharge test is used to identify the model parameters effectively.The experimental and simulation results show that the model is high in the calculation accuracy,and it can accurately make the online real-time prediction of the internal electrode temperature of Lithium-Ion battery,and provide a reliable basis for the research of precise equilibrium thermal management of“electrode material-shell”of battery pack for pure electric vehicles.