Method and system for monitoring battery swap station based on Internet of Things

By using the SHA-256 algorithm and blockchain system to verify power data at battery swapping stations, combining the Dijkstra algorithm and MILP model to optimize power paths, and constructing the XGBoost prediction model for load forecasting, the problems of authenticity in power data processing and resource allocation at battery swapping stations are solved, achieving efficient power flow and accountability.

CN120834645AActive Publication Date: 2025-10-24STATE GRID ELECTRIC VEHICLE SERVICE HUBEI CO LTD +1
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Patent Information

Application Number
CN202511324089.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-17
Publication Date
2025-10-24
Estimated Expiration
2045-09-17

AI Technical Summary

Technical Problem

Existing battery swapping stations suffer from insufficient verification of power data authenticity, lack of dynamic encryption mechanisms, and failure to optimize path planning in real time by incorporating multiple factors. This results in uneven resource allocation, low power flow efficiency, and a lack of clear accountability mechanisms, making it difficult to trace responsibility when the system malfunctions.

Method used

The SHA-256 algorithm is used to generate power data blocks. A blockchain system based on a threshold-editable hash function is constructed for error detection and accountability. The optimal power path is calculated by combining the Dijkstra algorithm, the MILP model is used to optimize power allocation, the XGBoost prediction model is constructed for load forecasting, and anomaly classification and decision-making are performed through multi-dimensional features.

Benefits of technology

It has improved the ability to verify the authenticity of power data and detect anomalies, optimized power paths and distribution strategies, enhanced the accuracy of load forecasting and the intelligence of the system, and achieved accuracy in accountability tracking and decision-making.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a battery swap station monitoring method and system based on the Internet of Things, and relates to the technical field of electric power dispatching optimization and intelligent energy management. Electric power data are collected and preprocessed, nodes are set, electric power features are extracted, an SHA-256 algorithm is used for generating electric power data blocks, electric power data error detection is carried out, and the electric power dispatching optimization and intelligent energy management are realized. A block chain system based on a threshold editable hash function is constructed, and log recording and responsibility tracking are edited; the method comprises the following steps: constructing a road network diagram, calculating the dynamic weight of each edge of the road network diagram, calculating an optimal power path by using a Dijkstra algorithm, taking an MILP model as an optimization target, defining three layers of constraint conditions, constructing an XGBoost prediction model to predict the load of a battery swap station, and adjusting a power distribution strategy. The security of power data is improved by adopting an improved SHA-256 algorithm and constructing a block chain system based on a threshold editable hash function, and the intelligence of a monitoring system is enhanced by combining a road network diagram to calculate a dynamic weight, using a Dijkstra algorithm and adjusting a power distribution strategy.
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Citation Information

Patent Citations

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    CN118114813A

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