Optimization And Verification Of Automotive AEB Simulation Control Algorithm

Gradually increased along with the annual car ownership,traffic accidents are still very serious in recent years.People pay more attention to vehicle safety,especially the vehicle AEB(Autonomous Emergency Break automatic emergency braking)system,to avoid collision before the accident or reduce the damage caused by the collision accident.Foreign AEB system researches are started to study in an early period,but also the application of some vehicle models,AEB system research is studied few.In order to quickly and safely study the car AEB system control algorithm.It is necessary to research and verification vehicle AEB system,and to use software to establish a variety of scenarios.Vehicle AEB system control algorithm is studied in this paper based on PreScan software.We need to use PreScan,CarSim,Simulink software to simulate,establish and analyze the AEB system control algorithm,to study the algorithm for the timely and accurate judgment of the car is about to crash,and warning and automatic braking,For the reduction of traffic accidents and the realization of primary level intelligent driving has important significance.The main contents of this paper are as follows:First of all,three functions of the car AEB system are analyzed overall,which is to determine the emergency situation,automatic response to dangerous situations,make warning and brake action.Research of the vehicle braking distance model is studied.This paper introduced to compare the different vehicle AEB test rule.According to the real vehicle to establish the corresponding vehicle dynamics model,and according to the three software co-simulation configure CarSim corresponding configuration.Using the PreScan software to build AEB test scenarios and sensors,and build drivers in the loop car AEB system test platform.And the corresponding Simulink model is established in the AEB system,and the control effect of the five safety distance models is verified in the AEB system.In addition to the rear trailing conditions of the same lane,this paper also studies the complex test conditions and the corresponding car AEB system control algorithm.In this paper,the TTC(Time to Collision)algorithm is tested and compared,and in order to improve the collision avoidance success rate of TTC algorithm,the TTC algorithm is optimized in the simulation model.