关键词: 电池荷电状态, Peukert方程, 扩展卡尔曼算法, 温度

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