Application of digital twins to the product lifecycle management of battery packs of electric vehicles. Issue 4 (8th April 2021)

• Record Type: Journal Article
• Authors: Anandavel, Suriyan; Li, Wei; Garg, Akhil; Gao, Liang
• Is Part Of: IET collaborative intelligent manufacturing. Volume 3:Issue 4(2021)
• Page Start: 356
• Page End: 366
• Publication Date: 2021-04-08
• Subjects: secondary cells -- battery powered vehicles -- lithium compounds -- production engineering computing -- product life cycle management; Production management -- Periodicals; Production engineering -- Periodicals; Production management; Production engineering; Electronic journals; Periodicals; 658.5
• DOI: 10.1049/cim2.12028
• Languages: English
• ISSNs: 2516-8398

Abstract

Abstract: Lithium‐ion batteries have become a core component of electric vehicles (EVs) because of their high energy density. However, several issues in lithium‐ion batteries usage, such as safety, durability, charging time, and driving range, limit the development of EVs. Meanwhile, with the emergence of Industry 4.0, the digital twins technology has received widespread attention in the manufacturing industry because it provides real‐time monitoring and intelligent management of the production process. The authors propose a framework based on digital twins, which can be used for real‐time monitoring, intelligent management, and autonomous control of battery packs. The framework covers all aspects of a battery pack's lifecycle, including design, manufacturing, operation monitoring, and second use options. Such a framework can solve some critical issues inhibiting the usage of batteries. A case study of the application of the proposed digital twins‐based framework to electric vehicle battery systems has been conducted. The results show that deploying digital twins into the battery packs of EVs will improve the safety and service life of the battery packs.