用一种新的优化算法估计电动汽车电池SOC

A new optimization algorithm for state of charge estimation of electric vehicle batteries

准确估计电动汽车中的锂电池荷电状态(SOC)是电池管理的一个难点,安时计量法的缺点是无法估计电池的初始剩余电量,且由于电流测量精度的原因会导致累积误差。因此在安时计量法原有研究的基础上提出了一种新的优化算法,即结合开路电压法和Peukert方程来估计电池的剩余电量。与实验结果对比,可见新的优化算法的仿真结果与实验结果基本吻合,误差较小,从而证明了本方法的正确性。

Accurately estimating the state of charge （SOC） of electric vehicle batteries is difficult in battery management. The shortcoming of Ah counting method is unable to estimate the battery initial remaining power. Furthermore, Ah counting method may give rise to accumulative errors because of current measurement accuracy. Therefore, a new optimized algorithm, combining open voltage method and Peukert equation to estimate the remaining power of electric vehicle batteries, based on original surveys of Ah counting method was proposed. By comparison, simulation results of the new optimization algorithm are tallied with experimental results, which prove the correctness of the optimization algorithm.