Lithium battery SOC intelligent estimation method, electronic equipment and medium
Patent Information
- Application Number
- CN202511309426.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-15
- Publication Date
- 2025-10-17
- Estimated Expiration
- 2045-09-15
AI Technical Summary
Accurate estimation of lithium battery SOC faces significant challenges under temperature fluctuations, aging attenuation and dynamic operating conditions. Existing physical models lack nonlinear processing capabilities, and data-driven models are not very interpretable, resulting in insufficient estimation accuracy and reliability.
The first-order equivalent circuit model is combined with the characteristic time multilayer perceptron, and the SOC estimation is performed through the adaptive unscented Kalman filter algorithm. The terminal voltage error is dynamically compensated by the fusion voltage, and the target state space model is constructed to achieve dynamic tracking of the lithium battery operating status.
The accuracy and robustness of lithium battery SOC estimation are improved, the model complexity is reduced, and high-precision tracking and management of lithium battery status are achieved.
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Abstract
Citation Information
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