The main work of this paper can be divided into three parts: (1) An aluminium ion battery is made, the battery capacity is calibrated under a constant current, and the battery’s voltage and current data under pulse conditions is collected. (2) The influence of the hysteresis effect on the SOC estimation of aluminium ion batteries is fully considered. A model suitable for aluminium ion batteries is established based on the model that the parameter identification and verification was carried out with. (3) The error with the EKF and AEKF algorithms in estimating the SOC of aluminium ion batteries is compared. The experimental results show that the model established in this paper can describe the working state of aluminium ion batteries very well. Compared with the EKF algorithm, the AEKF algorithm is more accurate in estimating the SOC of aluminium ion batteries.

本文的主要工作可分为三个部分： (1) 制作铝离子电池，在恒流下校准电池容量，采集脉冲条件下电池的电压和电流数据。(2)充分考虑了滞后效应对铝离子电池SOC估算的影响。在进行参数辨识验证的模型基础上，建立了适用于铝离子电池的模型。(3) EKF 和 AEKF 算法在估计SOC 时的误差铝离子电池的比较。实验结果表明，本文建立的模型能够很好地描述铝离子电池的工作状态。与EKF算法相比，AEKF算法在估算铝离子电池SOC时更准确。