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Towards long lifetime battery : AI-based manufacturing and management
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Liu, Kailong, Wei, Zhongbao, Zhang, Chenghui, Shang, Yunlong, Teodorescu, Remus and Han, Qing-Long (2022) Towards long lifetime battery : AI-based manufacturing and management. IEEE/CAA Journal of Automatica Sinica, 9 (7). pp. 1139-1165. doi:10.1109/jas.2022.105599 ISSN 2329-9274.
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Official URL: https://doi.org/10.1109/jas.2022.105599
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 strategies towards long lifetime battery. First, AI-based battery manufacturing and smart battery to benefit battery health are showcased. Then 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 drawbacks. Efforts through designing suitable AI solutions to enhance battery longevity are also presented. Finally, the main challenges involved and potential strategies in this field are suggested. This work will inform insights into the feasible, advanced AI for the health-conscious manufacturing, control and optimization of battery on different technology readiness levels.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Journal or Publication Title: | IEEE/CAA Journal of Automatica Sinica | ||||||
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
ISSN: | 2329-9274 | ||||||
Official Date: | July 2022 | ||||||
Dates: |
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Volume: | 9 | ||||||
Number: | 7 | ||||||
Page Range: | pp. 1139-1165 | ||||||
DOI: | 10.1109/jas.2022.105599 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access |
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