电池包SOC的估计方法、装置、服务器及存储介质
By acquiring the charging data of the cells in the battery pack, utilizing the capacity and internal resistance database, and combining the least squares method and linear regression algorithm, the problem of cell differences affecting the estimation of battery pack SOC is solved, achieving accurate and low-complexity calculation of battery pack SOC.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DEEPAL AUTOMOBILE TECH CO LTD
- Filing Date
- 2023-05-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot accurately identify the state of charge (SOC) of individual cells within a battery pack, cannot avoid the impact of SOC differences between different cells on the overall battery pack SOC, and the calculation results are inaccurate. In particular, the algorithm is prone to divergence in the voltage plateau region of LFP batteries, resulting in high computational complexity and making it unsuitable for battery pack SOC estimation.
By acquiring the charging data of each cell in the battery pack, the reference maximum capacity and initial SOC are calculated. Using a pre-established database of capacity and internal resistance, combined with the least squares method and linear regression algorithm, the actual initial capacity and SOC of each cell are calculated, and finally the SOC of the battery pack is corrected.
It enables accurate calculation of battery pack SOC on the server, avoids the influence of cell differences, reduces algorithm complexity, and is applicable to various battery systems.
Smart Images
Figure CN116718922B_ABST