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
机构地区:[1]合肥国轩高科动力能源股份公司工程研究院,安徽合肥230011
出 处:《电源技术》2016年第4期823-825,853,共4页Chinese Journal of Power Sources
基 金:国家"863"计划项目(2012AA110407)
摘 要:实时监控电动汽车动力锂电池的健康状态不仅为电动汽车的维护提供便捷,且为能量均衡、SOC估算及保障电池组整体性能提供依据。描述了锂电池组健康状态(SOH)定义、总结锂电池SOH的主要影响因素,对比相关SOH模型优缺点及可行性,描述了基于Matlab建立自适应的锂电池SOH数学模型建立方法及过程,并介绍锂电池SOH的估算算法设计流程,并经实测数据验证对比分析估算结果。Monitoring the healthy status of lithium battery of electric vehicle in real time not only provides convenient for the maintenance of electric vehicles, but also provides the basis for balancing energy, estimation of SOC and ensuring the whole performance of the battery. The definition was described,and the main factors affecting the state of Healthy(SOH) of lithium battery was summered. The advantages and disadvantages and feasibility of the mathematical models of lithium battery SOH were compared. The construction method and process of the adaptive SOH model based on Matlab was described. The design process of estimation algorithm of the lithium battery SOH was introduced,and the result was verified and compared by the measured data.
分 类 号:TM91[电气工程—电力电子与电力传动]
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:216.73.216.200