Shared charging device instruction control system and method based on multi-modal signal fusion

By using a command control method based on multimodal signal fusion, multimodal data of shared charging devices are collected and analyzed synchronously, and anomalies are detected and rolled back in real time. This solves the problem of power overshoot caused by mode inconsistency in protocol negotiation of shared charging devices, and achieves a safe and stable charging process and improved user experience.

CN120877421BActive Publication Date: 2026-06-12SHENZHEN YUANHONG CHAOCHANG EQUIPMENT CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN YUANHONG CHAOCHANG EQUIPMENT CO LTD
Filing Date
2025-07-29
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

During the protocol negotiation process, the shared charging equipment failed to perform cross-modal consistency verification on the bus voltage change rate and port temperature rise trend, resulting in high voltage being directly applied to the bus, causing power overshoot, multi-port overcurrent protection, and power failure, which affected the user experience.

Method used

By employing a command control method that integrates multimodal signal fusion, message streams, bus voltage curves, and port thermal gradients are simultaneously acquired to generate instantaneous surge energy index and thermal inertia index. A radial basis function (RBF) kernel regression model is used to identify handshake anomalies, and a residual sequence is generated through self-supervised reconstruction. Combined with protocol verification results, commands are rolled back in real time, and the threshold bin is updated to optimize power allocation.

🎯Benefits of technology

During the handshake and power distribution phases, anomalies are detected and rolled back in a timely manner to avoid high voltage overcharge, ensuring the safety and stability of the charging process, improving the user experience, and adapting to heterogeneous protocol environments through dynamic threshold optimization.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a shared charging equipment instruction control system and method based on multi-modal signal fusion, and particularly relates to the field of shared charging control, solves the risk of protocol step loss and overshoot, takes the handshake millisecond window as an entry point, verifies digital messages and physical transients through energy surge and thermal inertia double exponential synchronization, locks the instruction missing risk before the drive link; residual message joint judgment captures hidden abnormalities in real time at the power issuing node, quickly pulls back the safe power level through the rollback channel, and triggers brand-channel mapping logic to re-plan output resources; the threshold bin dynamically tightens the threshold according to the target-measured power difference, makes the prediction and measurement gradually fit, and writes new a priori to the forward inference link; both high pressure overshoot and whole row power-off are prevented, the charging curve is completely consistent with the billing curve, the port high turnover can be maintained during the passenger flow peak, and the overall safety, hardware life and user experience are improved.
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