Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (7): 2141-2154.doi: 10.19799/j.cnki.2095-4239.2023.0301

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Multiscale and multiphysics theoretical model and computational method for lithium-ion batteries

Yikun WU(), Jie HE, Le YANG(), Weili SONG, Haosen CHEN   

  1. Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
  • Received:2023-05-04 Revised:2023-05-25 Online:2023-07-05 Published:2023-07-25
  • Contact: Le YANG E-mail:wyk910524@163.com;leyang@bit.edu.cn

Abstract:

Lithium-ion batteries have the advantages of high energy density, high working voltage, low self-discharge rate, and fast charging. They are widely used in various fields related to national defense industry and human life. After considerable efforts in developing the domestic battery industry, China has built a strong foundation in battery research and production. However, owing to the lack of battery computing models and design software, the design of novel batteries is still based on experience. Thus, relevant quantitative theoretical models and algorithm implementations are urgently needed. Lithium-ion battery systems have complex multiphysics coupling characteristics and multiscale characteristics in time and space. Unclear multifield coupling mechanisms related to lithiation and delithiation, the hard scale transitions in time and space, and the lack of design software are the main factors preventing the commercialization of novel materials in next-generation high-energy-density batteries. Herein, we propose a multiscale theoretical model and algorithm realization using the coupling of the electrochemomechanical behaviors of the batteries, including electrochemomechanical coupling theory of electrodes in lithium-ion batteries, finite element realization of multifield coupling behavior at various scales, concurrent and hierarchical multiscale theoretical and numerical models of electrodes, and electrochemomechanical behavior of the interface between the electrode and electrolyte.

Key words: lithium ion battery, multi-physics coupling, multi-scale, computational method

CLC Number: