电力系统备用电池健康状态估计  

State of health and life forecast of backup batteries for substation

作　　者：杨亚飞 刘新天 何耀 郑昕昕 曾国建 YANG Ya-fei;LIU Xin-tian;HE Yao;ZHENG Xin-xin;ZENG Guo-jian(New Energy Automobile Engineering Research Institute,Hefei University of Technology,Hefei Anhui 230009,China;Intelligent Manufacturing Institute,Hefei University of Technology,Hefei Anhui 230009,China)

机构地区：[1]合肥工业大学新能源汽车工程研究院,安徽合肥230009 [2]合肥工业大学智能制造技术研究院,安徽合肥230009

出　　处：《电源技术》2018年第6期877-881,共5页Chinese Journal of Power Sources

摘　　要：电力系统备用电池的健康状态(SOH)与其所处两种工况密切相关。循环工况对电池组单体最大压差有影响,浮充工况对电池组单体平均内阻和电池组质量有影响,分别研究这两种状态下不同参数与电池组SOH的关系,建立电池健康状态-最大压差和健康状态-内阻均值和质量两个电池模型,再将二者用不同权值融合起来,得到最终的SOH估计结果。经过实验验证,应用该模型和算法,可以对SOH取得良好的估计效果。The state of health（SOH） of power systems backup battery is closely related to two working conditions.The cycle condition impacts the battery pack＇s single largest voltage difference; float condition impacts the average internal resistance and battery mass. The relationship between different parameters and battery SOH of these states was studied. The model of battery health-single largest voltage difference and the model of battery health-mean internal resistance and mass were established. The two results were integrated by weights to get the final SOH estimation results. The experimental results show that this model and algorithm estimation of SOH can achieve good accuracy.

关 键 词：备用电池 SOH估计 循环工况 浮充工况 

分 类 号：TM912[电气工程—电力电子与电力传动]