基于K-Means算法的电动汽车电池组故障诊断研究
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- 英文论文题名：Fault Diagnosis Research of Battery Packs for Electric Vehicles Based on K-Means Algorithm Electric Vehicle
- 论文作者：李晓宇 ; 陈峥 ; 申江卫 ; 肖仁鑫 ; 舒星
- 英文论文作者：Li Xiaoyu ; Chen Zheng ; Shen Jiangwei ; Xiao Renxin ; Shu Xing ; Faculty of Transportation Engineering ; Kunming University of Science and Technology
- 年：2016
- 作者机构：昆明理工大学交通工程学院;
- 论文关键词：故障报警 ; 聚类分析 ; K-Means算法
- 英文论文关键词：fault alarming ; clustering analysis ; K-Means algorithm
- 会议召开时间：2016-10-26
- 会议录名称：2016中国汽车工程学会年会论文集
- 英文会议录名称：Proceedings of 2016 SAE-China Congress
- 语种：中文
- 分类号：U472.9
- 学会代码：QCGC
- 会议名称：2016中国汽车工程学会年会暨展览会
- 会议地点：中国上海
- 主办单位：中国汽车工程学会
- 学会名称：中国汽车工程学会
- 页数：3
- 文件大小：808k
- 原文格式：O
- 会议级别：全国
摘要
随着电池等关键技术的发展,电动汽车市场保有量越来越大,因此确保电动汽车在充电、久置停车或运行过程中的安全性尤为重要。本文针对电动汽车电池组运行安全性问题,提出基于K-Means聚类分析算法的电动汽车在线安全性研究,通过对汽车内部电池包数据采集,实现在线对电动汽车电池包内电池信息预警,并将故障等级等报警信息及时反馈到汽车整车控制器。该方法具备较快的分析能力,能够迅速对汽车运行过程出现的故障进行预警,从而保证电动汽车的安全性。
Electric vehicles(EVs) are being widely accepted with the development of the battery technology.Therefore,it is equallyimportant to ensure the safety of electric vehicles under the unattended charging,long time parking and the running operation.In this paper,the safety research of the battery pack for EVs is proposed based on K-Means algorithm,by which the collected data is analyzed to achieve the early real-time online warning ofthe battery pack.The warning information including fault level is sent to vehicle controller in time.The proposed method is with fast speed,and can provide early warning for the fault during operation,thereby ensuring the safety operation of EVs.
Electric vehicles(EVs) are being widely accepted with the development of the battery technology.Therefore,it is equallyimportant to ensure the safety of electric vehicles under the unattended charging,long time parking and the running operation.In this paper,the safety research of the battery pack for EVs is proposed based on K-Means algorithm,by which the collected data is analyzed to achieve the early real-time online warning ofthe battery pack.The warning information including fault level is sent to vehicle controller in time.The proposed method is with fast speed,and can provide early warning for the fault during operation,thereby ensuring the safety operation of EVs.
引文
[1]陈峥,潘二东,申江卫等.基于遗传算法的PHEV动力参数优化与仿真[J].昆明理工大学学报(自然科学版),2016(01):46-51.
[2]Z Chen,C C Mi,Y Fu,et al.Online Battery State of Health Estimation Based on Genetic Algorithm for Electric and Hybrid Vehicle Applications[J].Journal of Power Sources,vol.240,pp.184-192,10/15/2013.
[3]Z Liu,H He.Model-based Sensor Fault Diagnosis of a Lithium-ion Battery in Electric Vehicles[J].Energies,2015,7(8):pp.6509-6527.
[4]Z Liu,H He,Q Ahmed,et al.Structural Analysis Based Fault Detection and Isolation Applied for A Lithium-Ion Battery Pack[J].IFAC-Papers On Line,2015(48):1465-1470.
[5]戴能红,姜朋昌,钟国华等.纯电动汽车故障诊断与失效处理策略开发[J].轻型汽车技术,2015(11):Z4:3-6.
[6]刘靖明,韩丽川,侯立文.基于粒子群的K均值聚类算法[J].系统工程理论与实践,2015(06):54-58.
[2]Z Chen,C C Mi,Y Fu,et al.Online Battery State of Health Estimation Based on Genetic Algorithm for Electric and Hybrid Vehicle Applications[J].Journal of Power Sources,vol.240,pp.184-192,10/15/2013.
[3]Z Liu,H He.Model-based Sensor Fault Diagnosis of a Lithium-ion Battery in Electric Vehicles[J].Energies,2015,7(8):pp.6509-6527.
[4]Z Liu,H He,Q Ahmed,et al.Structural Analysis Based Fault Detection and Isolation Applied for A Lithium-Ion Battery Pack[J].IFAC-Papers On Line,2015(48):1465-1470.
[5]戴能红,姜朋昌,钟国华等.纯电动汽车故障诊断与失效处理策略开发[J].轻型汽车技术,2015(11):Z4:3-6.
[6]刘靖明,韩丽川,侯立文.基于粒子群的K均值聚类算法[J].系统工程理论与实践,2015(06):54-58.