节点文献
锂离子电池SOC估算算法的研究
The Research on SOC Estimation Algorithm of Lithium Ion Battery
【摘要】 考虑库伦效率对锂离子电池荷电状态(SOC)预测的影响,基于改进的安时积分法,在建立的等效电池模型基础上,利用开路电压法和扩展卡尔曼滤波相结合的方法,对锂电池荷电状态进行有效估计。实验证明,文中提出的改进算法可以提高SOC估算的精度。
【Abstract】 Considering the influence of Coulomb efficiency on the SOC prediction of lithium-ion batteries,based on the improved time-integration method,the method of combining the open-circuit voltage method with extended Kalman filter was proposed based on the equivalent battery model. The charge state of lithium battery was effectively estimated. Experiments showed that the proposed algorithm can improve the accuracy of SOC estimation.
【关键词】 库伦效率;
电池荷电状态;
电池模型;
卡尔曼滤波算法;
【Key words】 Coulomb efficiency; battery state of charge; battery model; Kalman filter algorithm;
【Key words】 Coulomb efficiency; battery state of charge; battery model; Kalman filter algorithm;
- 【文献出处】 通信电源技术 ,Telecom Power Technology , 编辑部邮箱 ,2017年01期
- 【分类号】TM912
- 【被引频次】14
- 【下载频次】250