An Energy Management Strategy for Solar Unmanned Aerial Vehicles Based on Environmental Information

To ensure the efficient operation of solar unmanned aerial vehicle (UAV), the power system plays a crucial role. Achieving a stable power supply for solar UAV in extremely harsh environment needs maintaining the value of the system bus voltage across different conditions. However, the energy management strategy which based on the bus voltage shows lag, whose response speed decreases as the system grows larger. To address this issue, a new energy management strategy based on environmental collection is proposed. A model is established to study the impact of diverse environmental information on system energy. Linear regression and neural network are utilized to create a mapping relationship between multiple environmental information and control methods. Data collection platforms and simulation models in the MATLAB software are constructed to verify the proposed strategy.