Lithium ion power battery echelon utilization auxiliary analysis method and system
By conducting refined feature analysis and dynamic strategy optimization on retired lithium-ion power batteries, the problems of asynchronous capacity attenuation and internal resistance differences caused by changes in battery parameters were solved, and the efficient, safe and economical cascade utilization of lithium-ion power batteries was achieved.
Patent Information
- Application Number
- CN202510692151.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-27
- Publication Date
- 2025-09-12
AI Technical Summary
Existing methods for recycling lithium-ion power batteries fail to fully consider the dynamic characteristics of battery parameters changing over time and usage conditions, resulting in asynchronous capacity decay and increased internal resistance differences, affecting battery pack performance and safety. In addition, the lack of real-time monitoring and dynamic optimization capabilities leads to a decline in system efficiency and economic benefits.
By obtaining the operating parameter data of retired battery packs, voltage calibration, temperature compensation and data normalization are performed, the characteristics of single cells are extracted and the capacity and internal resistance dispersion are analyzed. The mode selection is carried out based on the capacity decay rate and internal resistance growth slope to achieve dynamic capacity reorganization and internal resistance balancing. The internal resistance degradation is predicted using electrochemical impedance spectroscopy and convolutional neural networks, and a comprehensive strategy is constructed and iterative optimization is performed.
It achieves dynamic balancing and optimization of battery pack performance, extends the cascade utilization cycle, improves resource utilization and economic benefits, and ensures the stability and safety of the system.