一种车辆电池SOH预测方法及系统
By constructing a polynomial relationship to predict the state of energy (SOH) of vehicle batteries, the problem of inaccurate prediction caused by changes in different vehicles and environments is solved, and accurate SOH prediction and anomaly detection are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHENGZHOU YUTONG BUS CO LTD
- Filing Date
- 2023-02-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately predict the State of Harm (SOH) of vehicle batteries, especially when there are different vehicles, different battery models, temperature differences, and changes in usage habits, leading to inaccurate predictions.
By constructing a polynomial relationship between State of Health (SOH) and total charge-discharge cycles, equivalent temperature, and consistency, and using historical data for fitting, future SOH can be predicted. Considering temperature and consistency changes, battery swapping operations can be determined, and linear or polynomial fitting can be used for accurate prediction.
It enables accurate dynamic prediction of the State of Health (SOH) of vehicle batteries, reduces dependence on battery characteristics, improves prediction accuracy, and timely detects abnormal SOH degradation.
Smart Images
Figure CN116660763B_ABST