Construction of digital twin model of lithium-ion battery for intelligent management

被引:0
|
作者
Yang S. [1 ]
Li Q. [1 ]
Zhou S. [1 ]
Zhang Z. [1 ]
Ma Y. [1 ]
Chen F. [1 ]
机构
[1] School of Transportation Science and Engineering, Beihang University, Beijing
关键词
battery management system; battery model; digital twinning; new energy vehicles; power battery;
D O I
10.13700/j.bh.1001-5965.2022.0593
中图分类号
学科分类号
摘要
To achieve peak carbon and carbon neutral goals, the development of electric cars has become strategically important. It is necessary to have precise battery management technology because the lifespan and safety of power batteries change dynamically as they are used. This leads to rapid capacity degradation brought on by the inconsistent performance of single cells and thermal runaway brought on by short board batteries or internal defects. New battery management capabilities have been made possible by the development of the digital twin model, which is now one of the technical trends in the industry. Based on the development trend of battery management technology, the article concentrates on the analysis of basic principles of battery digital twin modeling from the aspects of system modeling to management and control requirements. The article systematically introduces the construction method of multi-dimensional, multi-scale and multi-physical field fusion of digital twin battery. Combined with the previous research of the team, the practical case of the digital twin battery was analyzed. Finally, the application perspective of digital twin battery is discussed in production design, life cycle management and other scenarios, which provided ideas and references for the development of battery management technology. © 2022 Beijing University of Aeronautics and Astronautics (BUAA). All rights reserved.
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页码:1734 / 1744
页数:10
相关论文
共 22 条
  • [1] WANG Y N, HAN X B, LU L G, Et al., Prospects of research on traction batteries for electric vehicles: Intelligent battery, wise management,and smart energy [ J], Automotive Engineering, 44, 4, pp. 617-637, (2022)
  • [2] ZALOSH R, GANDHI P, BAROWY A., Lithium-ion energy storage battery explosion incidents[J], Journal of Loss Prevention in the Process Industries, 72, (2021)
  • [3] LI J, QIAO Z, BAO J, Et al., An activity theory-based analysis approach for end-of-life management of electric vehicle batteries[J], Resources Conservation and Recycling, 162, (2020)
  • [4] ZHANG J, JIANG Q, PAN A Q, Et al., An optimal dispatching strategy for charging and discharging of electric vehicles based on cloud-edge collaboration [C], 2021 3 rd Asia Energy and Electrical Engineering Symposium (AEEES), pp. 827-832, (2021)
  • [5] YANG S C, HE R, ZHANG Z J, Et al., CHAIN:Cyber hierarchy and interactional network enabling digital solution for battery full-lifespan management[J], Matter, 3, 1, pp. 27-41, (2020)
  • [6] TAO F, ZHANG C Y, ZHANG H, Et al., Future equipment exploration: Digital twin equipment, Computer Integrated Manufacturing Systems, 28, 1, pp. 1-16, (2022)
  • [7] ZHANG C Y, TAO F., Evaluation index system for digital twin model, Computer Integrated Manufacturing Systems, 27, 8, pp. 2171-2186, (2021)
  • [8] ZHU K, CHEN J, LYU T L, Et al., Digital twin system for space power-sources, Aerospace Shanghai (Chinese & English), 38, 3, pp. 197-206, (2021)
  • [9] LIU W R, TAO F, CHENG J F, Et al., Digital twin satellite:Concept,key technologies and applications, Computer Integrated Manufacturing Systems, 26, 3, pp. 565-588, (2020)
  • [10] TAO F, ZHANG H, QI Q L, Et al., Ten questions towards digital twin:Analysis and thinking, Computer Integrated Manufacturing Systems, 26, 1, pp. 1-17, (2020)