Research On Driving Torque Optimization And Braking Energy Recovery Strategy Of Pure Electric Logistics Vehicle

With the more and more severe environmental and energy issues,energy conservation and pollution reduction have become a certain trend in the development of the automotive industry.The development of traditional fuel vehicles has been unable to meet people’s needs for environmental protection,while pure electric vehicles have gradually become a new direction for the development of the automotive industry.The vehicle control system is the technical core of pure electric vehicles,and its excellent performance plays a vital role in the development and commercialization of pure electric vehicles.Therefore,it has gradually become a hot research topic today.This paper was based on the Liuzhou Science and Technology Plan Project,with a certain pure electric logistics vehicle of a certain company as the res object.The principle of driving torque control and braking energy recovery control of pure electric vehicles was deeply studied,and a driving torque optimization control strategy based on driving intention recognition and a braking energy recovery strategy based on fuzzy control were studied.The main research contents are as follows:1)Aiming at the problem that the output torque of the electric motor cannot satisfy the driver’s driving intention under different operating conditions in pure electric vehicles,a torque control strategy based on awareness recognition was studied.The driving mode of the car was designed into power mode,general mode and economic mode,and the appropriate driving mode was selected according to the recognition result of driving intention,so that the output torque of the motor met the driver’s demand,and at the same time improved the power and economy of the whole vehicle.2)Build the driving torque optimization strategy model and the vehicle simulation model in Matlab/Simulink software,and used the accelerator pedal signal as input for simulation verification.The simulation results showed that the strategy was more accurate in the recognition of driving intentions.It not only satisfied the dynamics of the whole vehicle,but also made the economy of the vehicle more better.3)The structure and principle of the braking energy recovery system for pure electric vehicles were analyzed,and three typical braking energy recovery strategies were studied.Being able to the best braking performance and the best braking energy recovery efficiency was very important.It was very difficult for the braking energy recovery strategy of pure electric vehicles to accomplish this goal.And with fuzzy control theory to seek the balance point of both braking performance and energy recovery efficiency,a method based on fuzzy Controlled braking energy recovery strategy.4)The braking energy recovery control strategy was simulated and verified by the joint simulation of Matlab/Simulink and AVL Cruise.The simulation results showed that the braking energy recovery strategy can satisfy the braking safety,while taking into account the braking energy recovery efficiency and the comfort of the braking process.