A charging pile online metering calibration and detection method
By constructing a charging pile network topology and clustering algorithm, selecting a reference device to generate calibration correction coefficients, and utilizing wireless communication and distributed consensus algorithm, the problem of low efficiency in charging pile metering calibration was solved, achieving efficient and accurate transmission of calibration parameters and state synchronization, thereby improving the calibration efficiency and stability of the charging pile network.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN HANWEI INTELLIGENT EQUIPMENT CO LTD
- Filing Date
- 2025-07-21
- Publication Date
- 2026-07-21
AI Technical Summary
Existing charging pile metering and calibration methods are inefficient and costly, making it difficult to meet the rapidly growing demand of large-scale charging pile networks. Furthermore, the lack of a unified networked calibration system results in inefficient allocation of calibration resources, isolated information, and difficulty in achieving parameter sharing and improving calibration efficiency.
A charging pile network topology is constructed, sub-networks are divided using a clustering algorithm, a reference device is selected and calibration correction coefficients are generated, and a wireless communication transmission and retransmission mechanism is adopted. Combined with a distributed consensus algorithm and a dynamic error propagation model, the efficient transmission of calibration parameters and the consistency of calibration status are achieved.
It improves the connection efficiency and data transmission efficiency between devices within the charging pile network, optimizes the allocation of calibration resources, enhances the accuracy and adaptability of calibration parameters, and ensures the integrity of calibration information and the long-term stability of calibration status.
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Figure CN120847508B_ABST