Towards Long Lifetime Battery:AI-Based Manufacturing and Management

作     者：Kailong Liu Zhongbao Wei Chenghui Zhang Yunlong Shang Remus Teodorescu Qing-Long Han Kailong Liu;Zhongbao Wei;Chenghui Zhang;Yunlong Shang;Remus Teodorescu;Qing-Long Han

作者机构：Warwick Manufacturing GroupUniversity of WarwickCoventry CV47ALUnited Kingdom National Engineering Laboratory for Electric VehiclesSchool of Mechanical EngineeringBeijing Institute of TechnologyBeijing 100081China School of Control Science and EngineeringShandong UniversityJinan 250061China Department of Energy TechnologyAalborg UniversityAalborg 9220Denmark School of ScienceComputing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia IEEE 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2022年第9卷第7期

页      面：1139-1165页

核心收录：

学科分类：0710[理学-生物学] 12[管理学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 1002[医学-临床医学] 0808[工学-电气工程] 1001[医学-基础医学(可授医学、理学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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

主　　题：Artificial intelligence battery health management battery life diagnostic battery manufacturing smart battery 

摘      要：Technologies that accelerate the delivery of reliable battery-based energy storage will not only contribute to decarbonization such as transportation electrification,smart grid,but also strengthen the battery supply *** battery inevitably ages with time,losing its capacity to store charge and deliver it *** directly affects battery safety and efficiency,making related health management *** advancements in automation science and engineering raised interest in AI-based solutions to prolong battery lifetime from both manufacturing and management *** paper aims at presenting a critical review of the state-of-the-art AI-based manufacturing and management strategies towards long lifetime ***,AI-based battery manufacturing and smart battery to benefit battery health are *** the most adopted AI solutions for battery life diagnostic including state-of-health estimation and ageing prediction are reviewed with a discussion of their advantages and *** through designing suitable AI solutions to enhance battery longevity are also ***,the main challenges involved and potential strategies in this field are *** work will inform insights into the feasible,advanced AI for the health-conscious manufacturing,control and optimization of battery on different technology readiness levels.