Battery SOC (state of charge) estimation method, device, equipment and medium
By combining the open-circuit voltage conversion relationship of battery sensor error and temperature compensation, the adaptive extended Kalman filtering algorithm is used to solve the problem of inaccurate SOC estimates in the vehicle battery, achieving higher calculation accuracy and safety.
CN120428115AActive Publication Date: 2025-08-05HUNAN XINGBIDA NETLINK TECH CO LTD
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Patent Information
- Application Number
- CN202510927162.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-08-05
- Estimated Expiration
- 2045-07-07
AI Technical Summary
Technical Problem
In the prior art, the accuracy of the estimated value of vehicle battery SOC is insufficient, and factors such as ambient temperature and battery aging cannot be effectively considered, resulting in inaccurate battery management and safety hazards.
Method used
By combining the sampling error and sampling current of the battery sensor, combined with the A-time integration algorithm and the adaptive extended Kalman filtering algorithm, the open-circuit voltage conversion relationship of temperature compensation is considered to correct the SOC estimation value.
Benefits of technology
It significantly improves the accuracy of battery SOC estimation, reduces computational complexity and hardware requirements, and improves the safety and practicality of battery management.
✦ Generated by Eureka AI based on patent content.
Abstract
The embodiment of the invention provides a battery SOC estimation method, device and equipment and a medium, relates to the technical field of batteries, and can be applied to the related fields of various new energy vehicles such as electric vehicles, hybrid vehicles and hydrogen energy vehicles. The method comprises the steps of determining a real-time current corresponding to a target battery based on a sampling error of a battery sensor configured by the target battery and a sampling current acquired by the battery sensor; inputting the real-time current into an ampere-hour integral algorithm, and outputting an SOC estimated value of the target battery; and inputting a predetermined SOC, an open-circuit voltage conversion relational expression based on temperature compensation and an SOC estimated value into an adaptive extended Kalman filtering algorithm, and outputting an estimated value of the battery SOC. According to the method, the problem of insufficient accuracy of the SOC estimation value of the vehicle battery in the related technology is effectively solved.
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