Study On Energy-saving Strategy Of Multimotor Power System Of Electric Sweeper

Green and energy-saving are the themes of the development of automobile industry.With the continuous progress of infrastructure construction and urbanization in China,the demand for electric sweepers continues to increase,and the scope and workload of sweepers are increasing rapidly.Electric sweeper is a special municipal vehicle,which is operated by multiple motors in collaboration,and its operating conditions are complex and changeable.In the process of operation,the torque of multi-motor power system is affected by multiple factors.Rational distribution of the torque to the driving motor and the operating motor can reduce the energy consumption loss of the sweeper and improve the power performance of the vehicle.In order to improve the energy consumption efficiency of multi-motor power system during the operation of electric sweeper,the problem of multi-motor torque matching based on working conditions is taken as the main research content in this paper.Firstly,taking the electric sweeper as the research object,the quantity grade spectrum of road waste and the working condition diagram of sweeping lane are constructed,and the driving motor and the operating motor are controlled respectively.On this basis,the torque control model of multi-motor power system of the electric sweeper based on the fuzzy control strategy is constructed.Aiming at the influence of road garbage quantity and SOC of power battery pack on the demand torque of driving motor,the method of fuzzy control is adopted to compensate the demand torque of driving motor.Aiming at the influence of vehicle speed and acceleration on the required torque of the working motor,the required torque of the brush motor is controlled by using vehicle speed and acceleration as input signals,and then the required speed and torque of the brush motor are used as input feedback fuzzy control of the required torque and speed of the dust collector.The simulation results show that the method can make the output torque of multi-motor power system meet the requirements of road cleaning and dynamic performance.In order to optimize the dynamic change of driving motor speed and operating motor speed with garbage volume,a multi-objective game theory based multi-motor energy management and control optimization algorithm is proposed.The energy consumption model of multi-motor power system of electric sweeper is established.Taking vehicle mass,speed of driving motor,transmission ratio and speed of brush motor as design variables,the optimal value of corresponding design variables is solved when energy consumption is minimum,and the optimal value is substituted for energy consumption model to verify.NSGA-II optimization algorithm is used to optimize the design variables,and the results are compared with those of multi-objective game optimization.The results show that the proposed multi-objective game optimization algorithm has less energy consumption and fewer iterations,and improves the economy of electric sweeper.