首页|期刊导航|自动化学报（英文版）|Towards Long Lifetime Battery: AI-Based Manufacturing and Management

Towards Long Lifetime Battery: AI-Based Manufacturing and Management

Kailong Liu Zhongbao Wei Chenghui Zhang Yunlong Shang Remus Teodorescu Qing-Long Han

自动化学报（英文版）2022，Vol.9Issue(7)：1139-1165,27.

自动化学报（英文版）2022，Vol.9Issue(7)：1139-1165,27.DOI:10.1109/JAS.2022.105599

Towards Long Lifetime Battery: AI-Based Manufacturing and Management

Kailong Liu ¹Zhongbao Wei ²Chenghui Zhang ³Yunlong Shang ³Remus Teodorescu ⁴Qing-Long Han⁵

作者信息

1. Warwick Manufacturing Group,University of Warwick,Coventry CV47AL,United Kingdom
2. National Engineering Laboratory for Electric Vehicles,School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China
3. School of Control Science and Engineering,Shandong University,Jinan 250061,China
4. Department of Energy Technology,Aalborg University,Aalborg 9220,Denmark
5. School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne,VIC 3122,Australia
折叠

摘要

关键词

Artificial intelligence/battery health management/battery life diagnostic/battery manufacturing/smart battery

Key words

Artificial intelligence/battery health management/battery life diagnostic/battery manufacturing/smart battery

引用本文复制引用

Kailong Liu,Zhongbao Wei,Chenghui Zhang,Yunlong Shang,Remus Teodorescu,Qing-Long Han..Towards Long Lifetime Battery: AI-Based Manufacturing and Management[J].自动化学报（英文版）,2022,9(7):1139-1165,27.

基金项目

This work was supported by the UK HVM Catapult project(8248 CORE),the National Natural Science Foundation of China(52072038,62122041). （8248 CORE）

自动化学报（英文版）

OACSCDCSTPCDEI

ISSN：2329-9266

访问量0

下载量0

段落导航