机械工程学报 ›› 2021, Vol. 57 ›› Issue (14): 52-63.doi: 10.3901/JME.2021.14.052
• 特邀专栏:电源系统设计、管理与大数据 • 上一篇 下一篇
王震坡1, 李晓宇1,2, 袁昌贵1, 黎小慧1
收稿日期:
2020-09-07
修回日期:
2020-12-28
出版日期:
2021-09-15
发布日期:
2021-09-15
通讯作者:
李晓宇(通信作者),男,1991年出生,博士研究生。主要研究方向为锂电池状态估计,故障诊断,电动汽车充电调度及新能源汽车大数据分析。E-mail:xiaoyu_li187@163.com
作者简介:
王震坡,男,1976年出生,博士,教授,博士研究生导师。主要研究方向为电动汽车电池管理系统,新能源汽车大数据分析技术。E-mail:wangzhenpo@bit.edu.cn;袁昌贵,男,1995年出生,硕士研究生。主要研究方向为锂电池状态估计,新能源汽车大数据分析。E-mail:yuan_changgui@163.com;黎小慧,女,1994年出生,博士研究生。主要研究方向为新能源汽车大数据分析与智能充电策略。E-mail:13120166823@163.com
基金资助:
WANG Zhenpo1, LI Xiaoyu1,2, YUAN Changgui1, LI Xiaohui1
Received:
2020-09-07
Revised:
2020-12-28
Online:
2021-09-15
Published:
2021-09-15
摘要: 电动汽车故障诊断技术是汽车安全运行的重要保证,高效精准的故障诊断不仅提高整车的安全性和可靠性,而且有利于促进电动汽车市场的积极健康发展。围绕电池管理系统和热管理系统,综述电池系统状态估计以及冷却技术,在保证电动汽车安全运行方面的最新研究进展;以整车局域网层面和车端云网联层面,分别介绍电池系统运行数据传输安全的先进技术手段;从实车运行大数据视角将故障诊断技术归纳为多尺度数据融合、故障识别、故障预报警三个方面分别展开阐述,剖析当前技术的优势及不足;针对当前故障诊断技术所面临的难点问题,展望未来融合大数据及人工智能技术,车端云智能网联条件下电动汽车故障诊断方法研究发展趋势。
中图分类号:
王震坡, 李晓宇, 袁昌贵, 黎小慧. 大数据下电动汽车动力电池故障诊断技术挑战与发展趋势[J]. 机械工程学报, 2021, 57(14): 52-63.
WANG Zhenpo, LI Xiaoyu, YUAN Changgui, LI Xiaohui. Challenge and Prospects for Fault Diagnosis of Power Battery System for Electrical Vehicles Based on Big-data[J]. Journal of Mechanical Engineering, 2021, 57(14): 52-63.
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摘要 |
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