The invention relates to the technical field of unmanned aerial vehicles, and discloses an intelligent charging and endurance optimization method for an unmanned aerial vehicle
nest, and the method comprises the steps: collecting flight, battery and environment data through an unmanned aerial vehicle, transmitting the data to a
nest, and precisely evaluating the remaining endurance of the unmanned aerial vehicle through the
nest in combination with historical tasks and geographic information; performing dynamic task planning based on
reinforcement learning, and generating an optimal charging strategy by using a
dynamic planning algorithm; by means of a multi-mode sensor and a self-adaptive charging control model, intelligent regulation and control of the charging process are achieved; and through solar auxiliary power supply and multi-
machine cooperative charging, the endurance is enhanced. The problems of low charging efficiency, poor endurance management, insufficient
system reliability and the like in a traditional method are effectively solved, the
utilization rate of nest charging resources is remarkably improved, the service life of a battery is prolonged, the endurance of the unmanned aerial vehicle and the
system stability are enhanced, and the method has important significance in promoting efficient application of the unmanned aerial vehicle in multiple fields.