articleIEEE/CAA Journal of Automatica SinicaApr 8, 2022Closed access

Towards Long Lifetime Battery: AI-Based Manufacturing and Management

KLKailong LiuZWZhongbao WeiCZChenghui ZhangYSYunlong ShangRTRemus Teodorescu

University of Warwick · Beijing Institute of Technology · +3 more institutions

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Abstract

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 chain. As battery inevitably ages with time, losing its capacity to store charge and deliver it efficiently. This directly affects battery safety and efficiency, making related health management necessary. Recent advancements in automation science and engineering raised interest in AI-based solutions to prolong battery lifetime from both manufacturing and management perspectives. This paper aims at presenting a critical review of the state-of-the-art AI-based manufacturing and management…

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286
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FWCI
20.22
Percentile
100%
References
153
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Authors

6

Topics & keywords

Topics
Keywords
  • Battery (electricity)
  • Electrification
  • State of health
  • Computer science
  • Automation
  • Energy management
  • Smart grid
  • Risk analysis (engineering)
UN Sustainable Development Goals
  • Affordable and clean energy
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