燕山大学学报2024，Vol.48Issue(1)：48-53,76,7.DOI:10.3969/j.issn.1007-791X.2024.01.006
基于改进CART算法的退役动力电池等级筛选方法
Grade classification method of decommissioned power battery based on improved CART algorithm
摘要
Abstract
Aiming at the problems of poor consistency and low efficiency of grade classification of decommissioned power battery,a grade classification method of decommissioned power battery based on improved CART algorithm is proposed.Firstly,the basic principle of the traditional CART algorithm is analyzed.In order to overcome the defect of large amount of computation,Fayyad boundary point determination theorem is combined with the CART algorithm,and the optimal threshold point of attributes is selected to reduce the amount of computation and improve the classification efficiency.Secondly,based on the cost complexity post pruning algorithm,the cross validation method is used to further optimize the algorithm.Finally,the improved CART algorithm is applied to the screening and classification of decommissioned power batteries.The experimental results show that the improved CART algorithm can effectively improve the grade classification efficiency of decommissioned power battery while maintaining a high accuracy.关键词
退役动力电池/等级筛选/改进CART算法/最优阈值点Key words
decommissioned power battery/grade classification/improved CART algorithm/optimal threshold point分类
信息技术与安全科学引用本文复制引用
刘永成,刘杰文,杨茜,宋汶秦,郭永吉,王兴贵..基于改进CART算法的退役动力电池等级筛选方法[J].燕山大学学报,2024,48(1):48-53,76,7.基金项目
国网甘肃省电力公司科技项目(W21FZ2730244) （W21FZ2730244）
甘肃省自然科学基金资助项目(21JR7RA205) （21JR7RA205）
