电池荷电状态确定方法、装置、计算控制器及车辆
By adopting an adaptive multi-cycle current signal processing method, combined with current change trend identification and trapezoidal integral calculation, the problem of mismatch between the current sampling signal transmission interval and the state of charge calculation period in the BMS software is solved, and high accuracy and stability of SOC estimation are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING CHANGAN AUTOMOBILE CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the current sampling signal transmission interval does not match the state of charge calculation period in the BMS software, resulting in inaccurate SOC estimation.
By employing an adaptive multi-cycle current signal processing method, combined with current change trend identification and trapezoidal integral calculation, trapezoidal integrals are performed when the current change trend is identified as being in a nonlinear change phase. Combined with charge state correction value calculation, this improves the accuracy and robustness of SOC estimation.
While maintaining low computational complexity, it significantly improves the accuracy and robustness of SOC estimation, reduces the error of static strategies under dynamic conditions, and improves integration accuracy.
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Figure CN122063459B_ABST
Abstract
Citation Information
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