Research On Brake By Wire And Intelligent Energy Recovery Algorithm Of Pure Electric Vehicle

Today’s automotive industry is developing towards electrification and intelligence.With the increase in the popularity of electric vehicles,it also poses a major challenge to the range of electric vehicles.The study of energy recovery strategy is one of the directions to improve the cruising range of electric vehicles.According to different braking target requirements in the braking process,the regenerative braking force and hydraulic braking force are reasonably distributed to increase the amount of braking energy recovery.During the braking process,braking efficiency and braking safety must also be ensured.The energy recovery strategy is studied of pure electric vehicles during the braking process.First,In this article,the model of the electronic hydraulic system based on the ibooster electronic booster is established through the AMEsim software.The structure and working principle of the ibooster electronic booster are analyzed.The basic boost control of the ibooster electronic booster is designed,based on the vacuum booster’s rational boost.The working principle is studied of the electronic hydraulic braking system.And the realization is analyzed of regenerative braking.In this paper,the model of each part of the energy recovery system is built.Secondly,it is analyzed that The force received during the braking of the car.The distribution requirements of braking force are studied under different braking strength.Several energy recovery strategies have been analyzed and studied,which is formulated according to braking force distribution requirements.The influence is analyzed of the maximum available braking force and braking force distribution requirements of the motor on the braking energy recovery.On this basis,the overall strategy of energy recovery is designed.Finally,intelligent energy recovery algorithm is designed based on Deep Net Work.The research object is a front-drive pure electric vehicle.The algorithm control target is the command of the autopilot controller.The reward function is designed based on the requirements of braking performance,energy recovery and braking safety.The simulation platform of pure electric vehicle is built by using the vehicle dynamics software and Simulink software.The energy recovery algorithm model is trained through the simulation platform interacting with Python.The feasibility of the algorithm is verified in the experiment of braking targets with different initial speeds and different braking strengths.The hardware-in-the-loop experiment platform is built.The wheel cylinder pressure is collected through the single-chip microcomputer.And the electronic hydraulic system is controlled by the single-chip microcomputer.The data exchange is carried out with the host computer through can communication.The feasibility of intelligent energy recovery algorithm is verified by the change of SOC value and slip rate control range.