【摘要】 准确估算锂电池荷电状态是电池管理系统最重要的一个方面,可以为电池管理系统提供控制策略。从锂电池的性能和它的工作环境来看,在扩展卡尔曼滤波算法、安时积分法和开路电压法的基础上,提出一种新的扩展卡尔曼滤波-安时积分-开路电压法算法,这种方法在SOC估算的复杂环境中具有良好的性能,并且能满足动力锂电池的要求。实验结果表明,最大的SOC估算误差不到2.18%,从而验证了该方法的可靠性与可行性。更多还原

【Abstract】 Estimate the state of charging of the lithium battery is important for a battery management system. It can provide a control strategy for a battery management system. Considering the performance of the lithium battery and its working environment,this paper provide a new extended Kalman filter Ah integration-open circuit voltage method based on the extended Kalman filterm ampere hour counting method and open circuit voltage method. This method has a good performance for estimating SOC under the complex environment and satisfies the requirement of power lithium battery.Experimental results show that the maximum SOC estimation error is less than 2. 18% and verify the reliability and feasibility of the method.更多还原