检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:黄彧[1,2] 王占国 张言茹[1,2] 王瑞 张维戈[1,2] Huang Yu;Wang Zhanguo;Zhang Yanru;Wang Rui;Zhang Weige(School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China;National Active Distribution Network Technology Research Center,Beijing 100044,China)
机构地区:[1]北京交通大学电气工程学院,北京100044 [2]国家能源主动配电网技术研发中心,北京100044
出 处:《电测与仪表》2023年第10期66-72,共7页Electrical Measurement & Instrumentation
基 金:国家重点研发计划项目(2017YFB1201003)。
摘 要:动力电池成组后在使用过程中,由于初始生产工艺和环境因素等不可抗因素,逐渐产生不一致性并发展。面向动力电池组一致性的辨识需求,提出一种动力电池一致性快速辨识方法。所提方法基于统计分布的离群点检测方法对整组电池的单体电压数据进行计算分析,辨识出电池组一致性状态、较极端单体及其异常原因与极端程度。方法涉及测试过程简单、计算量小,适用于日常性快速检测,经算例分析验证了辨识方法的可行性和有效性。After the power battery is grouped,it will gradually produce inconsistencies and develop due to force majeure factors such as initial production process and environmental factors.In order to meet the identification requirements of power battery consistency,a fast identification method of power battery consistency is proposed in this paper.Based on the statistical distribution of the outlier detection method,this method calculates and analyzes the cell voltage data of the entire group of batteries to identify the consistency state of the battery pack,extreme cells and their abnormal causes and extreme degrees.The method involves a simple calculation process and a small amount of calculation,which is suitable for daily quick detection.The feasibility and effectiveness of the proposed identification method are verified by examples.
分 类 号:TM76[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.145.163.51