Optimization Of Energy Management Strategy For Hybrid Flying Cars

The flying car has the function of flying in the air and driving on the ground,which can cope with various complex environments.If it is applied in the traffic system,it can improve the passage of complex road surface and the adaptability of harsh environment,which is a popular solution to the urban road congestion problem.However,engine-driven flying cars have many problems,such as poor economy and serious emission pollution.The energy density of battery of pure electric flying cars still cannot effectively solve the problems of payload and range of flying cars,and it is difficult to meet the requirements of mission driving range.Therefore,hybrid technology,which combines the advantages of pure electric flying cars and traditional combustion flying cars,can be adopted to improve the fuel economy and range of flying cars.The application of hybrid power technology in automobile is relatively mature,so it can refer to the development route of hybrid electric vehicle to develop the hybrid power system of flying car.This paper takes a flying car as the prototype,analyzes the power requirements of the flying car under different working modes,and carries out the parameter matching of the flying car hybrid power system.By analyzing the vehicle demand torque curve,the rule-based hybrid power energy management strategy was developed.The energy management strategy based on demand torque decision is developed by analyzing the vehicle demand torque curve.The non-dominated sorting genetic algorithm NSGA-Ⅱ was used to build the co-simulation optimization platform to verify and optimize the dynamic system parameters and energy management strategy.The main research contents are as follows:1)The required power of hybrid power system of flying vehicle in land driving mode,vertical takeoff and landing mode,air hovering mode and horizontal cruise mode was analyzed,and the power system components including engine,generator,drive motor,rotor motor and power battery were selected and the parameters were matched.Through theoretical calculation,CFD simulation and AVL-Cruise simulation,it is verified that the dynamic system parameters of the flying vehicle meet the design specifications.2)The research status of hybrid energy management strategy at home and abroad was analyzed.The rule-based energy management strategy was adopted to realize the energy management of the flying vehicle hybrid system.By analyzing the demand torque decision curve and optimizing the power system parameters,the energy management strategy based on demand torque decision was developed to improve the economy and power performance of the vehicle.3)The NSGA-Ⅱ genetic algorithm was applied to further optimize the transmission ratio and energy management strategy,and the Isight-Cruise-MATLAB co-simulation optimization platform was built.The performance of flying vehicles before and after optimization was compared and analyzed to verify the optimization effect.The research results of this paper provide a reference for the development of hybrid power system for flying vehicles.