Methods and computing devices for calculating physical quantities of lithium batteries based on electrochemical models

By using the Chebyshev spectral method and sparse Jacobian matrix to solve the electrochemical model of lithium batteries, the problem of low computational efficiency in existing technologies is solved, and efficient calculation of lithium battery physical quantities is achieved, which is suitable for real-time monitoring and design iteration of battery management systems.

CN122135807APending Publication Date: 2026-06-02SHANGHAI XUANYI NEW ENERGY DEV CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI XUANYI NEW ENERGY DEV CO LTD
Filing Date
2026-03-02
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing calculation methods for lithium battery electrochemical models are computationally expensive in high-rate, wide-temperature, and strongly coupled scenarios, making it difficult to meet the real-time estimation and model predictive control requirements of battery management systems. Furthermore, traditional acceleration methods suffer from computational efficiency and accuracy issues.

Method used

The Chebyshev spectral method is used to discretize the electrochemical model of lithium battery, dividing the lithium-ion battery into three subdomains. The Chebyshev spectral method is then used to simulate the electrochemical model, and the residual equations are generated and then dimensionality is reduced. A sparse Jacobian matrix is ​​constructed for solution, and the matrix structure is optimized by combining graph theory reordering algorithm.

Benefits of technology

Without sacrificing critical physical fidelity, it significantly reduces single simulation time and algorithm memory usage, improves computational efficiency, and meets the robustness requirements of battery R&D design iteration and battery BMS online monitoring.

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Abstract

This application discloses a method and apparatus for calculating the physical quantities of lithium batteries based on an electrochemical model. The method includes: constructing an electrochemical model of a lithium battery, dividing the lithium-ion battery into three subdomains: the negative electrode, the separator, and the positive electrode; simulating the electrochemical model in each of the three subdomains using Chebyshev spectroscopy to obtain discrete data on electrolyte diffusion, particle diffusion, electrolyte current, solid-phase current, kinetics, and exchange current for the negative and positive electrodes, respectively; generating a set of residual equations based on the discrete data, performing dimensionality reduction, constructing Jacobian principal blocks, rearranging the columns of the Jacobian principal blocks to construct a sparse Jacobian matrix, and solving for the physical quantities of the lithium battery based on the sparse Jacobian matrix. This invention significantly reduces the simulation time and algorithm memory consumption without sacrificing the fidelity of key physical parameters, while maintaining robustness to battery R&D design iterations and battery BMS online monitoring.
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