Optimization Method for Collaborative Scheduling of Multi-UAV Logistics Battery Swapping under Range Constraints

By analyzing the real-time battery level and logistics status of drones, combined with the status of battery swapping stations and the resource contention among multiple drones, a scatter plot of battery swapping analysis is constructed. This solves the problem of low scheduling efficiency of drone battery swapping in traditional methods and achieves more efficient collaborative scheduling of multi-drone logistics battery swapping.

CN121809991BActive Publication Date: 2026-05-26SHAANXI ZIZHU ELECTRON
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHAANXI ZIZHU ELECTRON
Filing Date
2026-03-09
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Traditional multi-drone logistics battery swapping scheduling methods cannot accurately consider the real-time location of drones, the charging status of battery swapping stations, and the resource contention among multiple drones when faced with endurance constraints, resulting in low efficiency of collaborative battery swapping scheduling.

Method used

By analyzing the real-time battery status of drones, the urgency of logistics operations, the endurance constraint coefficient, the endurance operation alarm rate, and the impact of neighboring drones, a scatter plot of battery swapping analysis is constructed to obtain the urgency of drone logistics battery swapping. Finally, battery swapping scheduling and early warning indicators are determined to achieve more accurate battery swapping early warning.

Benefits of technology

It improves the optimization efficiency of multi-drone logistics battery swapping collaborative scheduling, ensures effective battery swapping for drones in complex scenarios, and enhances overall logistics efficiency.

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Abstract

This invention relates to the field of unmanned aerial vehicle (UAV) logistics management technology, specifically to a multi-UAV logistics battery swapping collaborative scheduling optimization method oriented towards endurance constraints. The method includes: obtaining an electrical state priority factor using the remaining battery power of the UAV; determining the urgency of logistics operations; obtaining an endurance constraint coefficient based on the electrical state priority factor and the urgency of logistics operations; determining an endurance operation alarm level using the distance between the UAV and its nearest battery swapping station, and the endurance constraint coefficient; obtaining a corrected endurance operation alarm level based on the total vacancy rate within the nearest battery swapping station and the average battery swapping duration; determining the UAV's battery demand level based on the corrected endurance operation alarm level; obtaining the logistics battery swapping urgency using the UAV's battery demand level; determining a battery swapping scheduling early warning indicator based on the logistics battery swapping urgency; and issuing a battery swapping early warning based on the battery swapping scheduling early warning indicator. This invention can improve the efficiency of multi-UAV logistics battery swapping collaborative scheduling optimization oriented towards endurance constraints.
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