Battery anomaly detection method, device and equipment based on sliding mode observer

By constructing an equivalent model and replacing the sign function with a sine curve bitangent function, a battery anomaly detection method based on sliding mode observers is used to achieve early identification and warning of battery soft faults and progressive faults, thereby improving the safety and operational reliability of the battery system.

CN121679339APending Publication Date: 2026-03-17HANGZHOU KGOOER ELECTRONIC TECH CO LTD
4 Cites 0 Cited by

Patent Information

Application Number
CN202511571062.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-30
Publication Date
2026-03-17

AI Technical Summary

Technical Problem

Existing battery anomaly detection methods struggle to achieve a good balance between robustness, real-time performance, and sensitivity to soft faults. In particular, they are insufficient in identifying hidden and slow-moving faults such as sudden changes in internal resistance, slow capacity decay, and localized aging, posing safety risks.

Method used

A battery anomaly detection method based on sliding mode observer is adopted. By constructing an equivalent model and sliding mode observer, the state of charge, terminal voltage and internal resistance are predicted using real-time operating data. Anomaly detection is performed by combining the interquartile range method. The sign function is replaced with the sine curve bitangent function to improve the stability of numerical calculation and the sensitivity to minor faults.

Benefits of technology

It enables early identification and warning of soft and progressive battery faults, improves the safety and operational reliability of the battery system, enhances the sensitivity and response speed to abnormal states inside the cell, and has the ability to resist disturbances and high-precision modeling.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a battery anomaly detection method, device and equipment based on a sliding-mode observer, and relates to the technical field of batteries, the method comprises the following steps: obtaining real-time operation data of a to-be-detected battery, determining a real-time discharge rate according to the real-time operation data, and determining the real-time discharge rate of the to-be-detected battery according to the real-time discharge rate; calling a matched open-circuit voltage value-battery charge state mapping curve according to the real-time discharge rate; constructing an equivalent model, and constructing a nonlinear system model according to the equivalent model; constructing a sliding-mode observer according to the nonlinear system model, and predicting a predicted value of each state variable of each cell at each time node; and obtaining a measured value of the state variable of each cell at each time node in the operation cycle, marking abnormal cells according to the predicted value and the measured value of the state variable, and determining an abnormal detection result of the to-be-detected battery according to the number of the abnormal cells. According to the invention, the problem of insufficient capability of identifying hidden and slow anomalies such as soft faults and gradual faults can be solved, so that effective early warning of abnormal batteries can be realized.
Need to check novelty before this filing date? Find Prior Art