Abstract:

There were many factors that can affect battery's SOC, such as temperature, current, cycle life and so on, Peukert equation was an adaptive way to estimate SOC. Former Peukert equation without considering temperature factor, actually n and K coefficients of Peukert equation can change with different temperatures. Therefore, with Peukert equation based on different temperatures and currents, Ampere-hour method and composite electrochemical model, the state and measurement equations of battery model can be created, then dynamic SOC could be estimated by extended Kalman filtering. The results indicate the estimation precision of Ni-MH battery's SOC is higher 7%~8% than the traditional Ah method.

Key words: state of charge(SOC), Peukert equation, extended Kalman filtering, temperature

摘要：

电池荷电状态（SOC）受到温度、电流、循环寿命等因素的影响，Peukert方程是一种很好的计算电池容量方法。传统Peukert方程没有考虑温度的影响，而温度变化会导致Peukert方程常数n和K的变化。因此，建立了基于温度和电流变化的Peukert方程,利用安时法和复合电化学模型建立电池模型状态方程和测量方程，采用扩展卡尔曼算法实现电池荷电状态动态估算。结果显示，基于温度修正Peukert方程的镍氢电池荷电状态估计算法精度比传统安时法提高7%~8%。

关键词: 电池荷电状态, Peukert方程, 扩展卡尔曼算法, 温度