基于B-样条曲线聚类法在锂电池衰退方面应用  

Application of clustering methods based on B-spline curve in a lithium-ion battery recession patterns

作　　者：于海芳[1,2] 刘龙 

机构地区：[1]长春工业大学电气与电子工程学院,吉林长春130012 [2]滨州学院电气工程学院,山东滨州256600

出　　处：《电源技术》2017年第11期1537-1540,共4页Chinese Journal of Power Sources

基　　金：吉林省教育厅项目(201596);滨州学院科研基金项目(2016Y15)

摘　　要：提出了一种对锂离子电池衰退模式进行分类的新方法。引用L2距离的概念代表衰退曲线的相关程度,通过均匀B-样条曲线函数建立锂电池衰退曲线与聚类算法之间的联系,大大减少衰退模式的种类。最后搭建了锂离子动力电池实验平台,借助实验数据建立模型,验证了算法的准确性。A new method for lithium-ion batteries recession pattern classification was presented. The degree of L2 distance was used as a measure of closeness and the function expansion was described in the uniform B-spline, the curve information was introduced into the clustering algorithm, and the recession mode species was greatly reduced.Finally, a lithium-ion battery test platform was built, with experimental data model to verify the accuracy of the algorithm.

关 键 词：曲线聚类 L2距离 B-样条 衰退曲线 

分 类 号：TM912.9[电气工程—电力电子与电力传动]