【摘要】 锌空电池因其较好的工作特性,是极具潜力的电动汽车用电池,而对锌空电池SOC的估算是车用电池管理系统研究的关键。在基于传统安时累积法估算基础上,以Thevenin电池模型结合Kalman滤波算法,提高对SOC的估算精度。通过基于SAE J227a工况的仿真与实验,验证了该算法能够较好地解决SOCi对SOC估算的影响因素,进而有效改进估算结果,在环境温度和空气流通性充分的情况下,达到小于4.5%的误差值。更多还原

【Abstract】 Zinc air battery is one of the research hot spot of electric vehicle battery for its better power characteristics.Because of using the physical replacement method to charge, zinc-air battery does not belong to the category of the conventional rechargeable battery, and the SOC estimation for the zinc air battery car is also the area which needs to be studied. Based on the traditional ampere hour accumulation method, Thevenin battery model combined with Kalman filtering algorithm was adopted to improve SOC estimation. With SAE J227 a simulation and experimental verification, the algorithm is proved to be able to solve the impact of SOCion SOC estimation and the SOC estimation error is within 4.5%.更多还原