An outdoor power supply control method and system

By using multi-source data acquisition and dynamic topology construction modules, combined with spatiotemporal feature analysis and parameter optimization, the problem of control instability in traditional outdoor power supply control systems under complex environments and load conditions has been solved, achieving accurate power supply operation and extended lifespan.

CN122292584APending Publication Date: 2026-06-26SHENZHEN SYD NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN SYD NETWORK TECH CO LTD
Filing Date
2026-03-26
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Traditional outdoor power supply control systems struggle to achieve precise control when faced with complex and ever-changing outdoor environments and load conditions, leading to unstable power supply operation, deterioration of battery pack consistency, shortened lifespan, and a lack of dynamic perception and adaptation capabilities to environmental changes and load conditions.

Method used

It employs a multi-source data acquisition and processing module, a dynamic topology construction module, a spatiotemporal feature analysis module, a baseline configuration model module, a parameter optimization module, and a decision execution module. Through multi-dimensional data acquisition and analysis, it generates a dynamic topology structure and optimizes control parameters to achieve precise control of outdoor power supplies.

Benefits of technology

It improves the flexibility and adaptability of outdoor power supply control, reduces power supply fluctuations, extends power supply lifespan, and enhances user experience.

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Abstract

This invention relates to the field of outdoor power supply control technology, and discloses an outdoor power supply control method and system. The system includes a multi-source data acquisition and processing module, which can acquire environmental parameters, load status, and battery pack operation data of the outdoor power supply, and standardize and clean the acquired data for outliers; a dynamic topology construction module, which generates a dynamic topology structure based on the connection relationship of internal components of the power supply and the distribution of external environmental nodes; a spatiotemporal feature analysis module, which extracts the spatial correlation features and temporal evolution features of the dynamic topology structure through a spatiotemporal convolutional network; a benchmark configuration model module, which generates a power supply state benchmark value by integrating the output mean of multiple model units based on feature variance; a parameter optimization module, which optimizes the controller fuzzy rules and control parameters using a quantum evolution algorithm; and a decision execution module, which combines the optimized control parameters and the power supply state benchmark value, and generates charging and discharging control commands through a tabu search algorithm to adapt to complex outdoor working conditions.
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