Hybrid electric unmanned aerial vehicle energy management method based on MPC sequence convex optimization

The invention discloses a hybrid electric unmanned aerial vehicle energy management method based on MPC sequence convex optimization, and belongs to the field of unmanned aerial vehicle energy management. The implementation method comprises the following steps of: calculating required power at a future moment and output power of a solar cell according to a flight path of the unmanned aerial vehicle, distributing residual required power except the output power of the solar cell to a fuel cell and a lithium battery, and keeping the solar cell at a maximum output power working point all the time through a maximum power tracker (MPPT), establishing a hybrid energy system power distribution model, performing in-and-out convexity on the hybrid energy system power distribution model in a trust region range, and performing solution by adopting convex optimization to obtain a hybrid energy system power distribution result, so as to improve the flight time of the unmanned aerial vehicle; an MPC rolling optimization str