考虑温度的电池荷电状态估算和主被动均衡

电池的荷电状态(state-of-charge, SOC)估算和电池均衡作为电池管理系统(battery management system, BMS)的核心功能，对电池的一致性和使用寿命、安全等至关重要。在电池的工作期间，温度直接影响了电池的可用容量和放电特性，从而加剧了SOC的估算误差。因此，考虑了温度对电池的影响，对SOC估算方法进行了改进，并利用主被动均衡改善了单体一致性问题。首先，通过建立电池的热特性模型对电池的内部温度进行估计，将温度估计结果对扩展卡尔曼滤波(extended Kalman filter, EKF)算法进行了改进，再使用该算法进行SOC估算。并分别在城市道路循环工况(urban dynamometer driving schedule, UDDS)、动态应力测试(dynamic stress test, DST)、混合脉冲功率特性(hybrid pulse power characterization, HPPC)工况下验证了改进算法对提高SOC估算精度的有效性。其次，以更高精度的SOC估算结果作为变量，提出一种主被动均衡电路并合理设计了均衡策略。最后，在仿...

Battery State Estimation and Active Passive Equalization Considering Temperature

The battery''s state-of-charge (SOC) estimation and equalization are the core functions of the battery management system (BMS). They are critical for the battery''s consistency, service life and safety. During the discharge of the battery, the temperature directly affects the available capacity and discharge characteristics of the battery, thus exacerbating the error in SOC estimation. The effect of temperature variation on battery SOC estimation is quantified in this paper, and the cell consistency problem is improved using active-passive equalization method. First, a thermal characteristic model of the battery is established to estimate the internal temperature of the battery, and the estimated temperature is used to improv the extended Kalman Filter (EKF) algorithm for estimating the SOC. And the effectiveness of the improved algorithm for improving the accuracy of SOC estimation was verified under the UDDS, DST, and HPPC working conditions, respectively. Secondly, an active-passive equalization circuit and equalization strategy with higher accuracy SOC estimation results as variables are proposed in this paper. Finally, under the simulation verification, the SOC estimation accuracy is significantly improved by the improved EKF algorithm: under the DST condition, the equalization between the six cells with a SOC-range of 13% is quickly completed by the active-passive equalization method. The results show that the SOC estimation error caused by temperature is effectively reduced by the improved method in this paper, and the inconsistency between single cells is also reduced.