TY - JOUR
T1 - Application of digital twins to the product lifecycle management of battery packs of electric vehicles
AU - Anandavel, Suriyan
AU - Li, Wei
AU - Garg, Akhil
AU - Gao, Liang
N1 - Publisher Copyright:
© 2021 The Authors. IET Collaborative Intelligent Manufacturing published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85104000805&partnerID=8YFLogxK
U2 - 10.1049/cim2.12028
DO - 10.1049/cim2.12028
M3 - Article
AN - SCOPUS:85104000805
SN - 2516-8398
VL - 3
SP - 356
EP - 366
JO - IET Collaborative Intelligent Manufacturing
JF - IET Collaborative Intelligent Manufacturing
IS - 4
ER -