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Application of digital twins to the product lifecycle management of battery packs of electric vehicles

  • Suriyan Anandavel
  • , Wei Li
  • , Akhil Garg*
  • , Liang Gao
  • *Corresponding author for this work
  • Huazhong University of Science and Technology
  • Indian Institute of Technology Kharagpur
  • Chongqing University

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)356-366
Number of pages11
JournalIET Collaborative Intelligent Manufacturing
Volume3
Issue number4
DOIs
Publication statusPublished - Dec 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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