To date, near-field wireless power transmission technology, represented by electric field coupling and magnetic field coupling wireless energy transmission technology, has been widely used to conveniently charge consumer electronic products, provide uninterrupted power supplies to sensor networks, and charge electric vehicles. In the case study, the optimization model is solved using an evolutionary algorithm, and the solution results verify the effectiveness and correctness of the model. The model is optimized to select the best wireless power access point and the number of wireless power receiving modules in a network node.
Considering the overall energy transmission efficiency from the power supply terminal to the power receiving network and the cost of the wireless power transmission equipment of the network, we have established a multiobjective wireless power receiving optimization model including a microwave energy emission source and an unmanned aerial vehicle network that receives energy. This paper focuses on the optimization of the energy transmission efficiency and cost in the microwave wireless power receiving process of an unmanned aerial vehicle network.
With the wide application of various wireless energy transmission technologies and unmanned aerial vehicle clusters in both production and life, the use of microwave wireless energy transmission to provide a real-time energy supply for an unmanned aerial vehicle network in flight has become an effective way to extend its working time.