电动汽车用NiMH电池建模及基于状态空间的SOC预测方法

电动汽车的电池管理系统需要精确、可靠的电池荷电状态(SOC)预测器。针对氢镍(NiMH)电池，提出了一种集总参数等效电路模型，介绍了通过实验获得电池参数的方法。该模型考虑了温度对电池参数的影响，能反映电池充放电的动态过程。文中用状态空间描述了R—C电池模型，在此基础上建立了一种新的基于状态空间的SOC递推算法，并对电池的充放电过程进行了仿真计算。分析表明，提出的SOC估计方法同样可用于其它类型的动力电池。

Mathematic Model for NiMH Battery in Electric Vehicle and its SOC Estimation Based on State Space Method

A novel lumped parameter R-C circuit model for NiMH battery is presented with the consideration of temperature effect,and is described in state space.On this basis,an associated recursive algorithm for estimating the state of charge(SOC)of battery is proposed.And a simulation on charging and discharging processes of battery is also conducted.Analysis indicates that the new method of SOC estimation is also suitable for other types of batteries used in electric vehicles or hybrid electric vehicles.