Multi-physics coupling modeling and failure analysis methods for polycrystalline and single crystal cathode materials of lithium-ion batteries
Through the multi-physics field coupling modeling method, a three-dimensional positive electrode particle structure model was constructed and imported into the finite element simulation platform, which solved the problem of difficulty in predicting grain boundary blocking and stress concentration failure of polycrystalline positive electrode materials in the existing technology, and achieved high-precision simulation and life prediction of lithium-ion battery positive electrode materials.
Patent Information
- Application Number
- CN202510883858.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-30
- Publication Date
- 2025-09-26
- Estimated Expiration
- 2045-06-30
AI Technical Summary
Existing modeling methods for lithium-ion battery positive electrode materials find it difficult to simultaneously consider the multi-physical process coupling effects of crystal structure, electrochemical reaction, lithium diffusion behavior and stress evolution, and cannot accurately predict cracks and failure paths caused by grain boundary blocking and stress concentration in polycrystalline positive electrodes.
A multi-physics field coupling modeling method is used to construct a three-dimensional positive electrode particle structure model, which is then imported into a finite element simulation platform. The lithium ion diffusion, electrolyte migration, and interface electrochemical reaction models are set up, and a lithium concentration-strain-stress coupling relationship is established. Potential structural damage areas are identified through failure criteria, and multi-physics field coupling simulation results are output.
It has achieved a systematic revelation of the differences in the evolutionary behaviors of polycrystalline and single-crystal positive electrode materials in the electrochemical-mechanical process, provided a theoretical basis for electrode material design, structural optimization and life prediction, and improved modeling accuracy and prediction capabilities.