Battery SOC estimation method, apparatus, equipment, and medium based on Kalman filtering
By constructing the G-CKF model and introducing the voltage plateau gain G, the problem of insufficient accuracy of the traditional Kalman filter algorithm in the SOC estimation of lithium iron phosphate batteries is solved, and more accurate battery state of charge estimation is achieved, ensuring the accuracy of electric vehicle power display and battery safety.
CN119414241BActive Publication Date: 2026-05-26JINAN UNIVERSITY +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JINAN UNIVERSITY
- Filing Date
- 2024-10-23
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
Traditional Kalman filtering algorithms suffer from insufficient accuracy in estimating the state of charge (SOC) of lithium iron phosphate batteries, especially since small voltage deviations at the voltage plateau period can lead to significant SOC estimation errors.
Method used
A G-CKF model was constructed, and a voltage plateau gain G was introduced. The SOC estimation results were adjusted by improving the formula, and the battery SOC was estimated by combining the observed current and observed voltage.
Benefits of technology
It improves the accuracy of SOC estimation, ensures accurate battery level display for electric vehicles, avoids overcharging and over-discharging of batteries, reduces the risk of failure, extends battery life, and saves costs.
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Smart Images
Figure CN119414241B_ABST
Abstract
This application belongs to the field of battery parameter estimation technology, and particularly relates to a battery SOC estimation method, apparatus, device, and medium based on Kalman filtering. The solution provided in this application addresses the problem that small errors in SOC estimation of lithium iron phosphate batteries caused by the battery voltage plateau period in traditional Kalman filtering methods have a significant impact. Based on the Kalman filtering algorithm, an improved formula is introduced, and the value of the voltage plateau period gain G in the improved formula is determined, effectively improving the SOC estimation accuracy for lithium iron phosphate batteries. Accurate SOC estimation ensures maximum battery utility, reduces costs, and prevents resource waste.
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