Adaptive Cruise Control System Of Electric Vehicle Based On Driver Characteristics

As a part of the Advanced Driving Assistant Systems,Adaptive Cruise Control?ACC?System can effectively reduce the driver's operating intensity and safely control the vehicle's longitudinal driving.Current ACC is mainly aimed at vehicles traveling at high speeds on highways,and due to the differences between drivers and their inherent time-variation,constant-parameter ACC cannot be fit of all drivers,which will reduce the use and acceptance of ACC.The paper proposes a full-range adaptive cruise system based on driver characteristics for this problem.Firstly,the paper designs the driving data acquisition test scheme based on simulator according to the research objectives,and recruits people with different ages and genders who has a driving license to conduct driving tests.the abnormal data is distinguished and removed according to the normal distribution range of parameters.Through comparison and analysis of data,parameters such as time to collision?TTC?and time headway?THW?are selected to reflect the characteristics of the drivers.The paper compares the parameters of different types of drivers and analyzes the distribution?the stable values and amplitudes of the driving data,which provides a basis for the design of the system controller.Secondly,The electric vehicle drive system uses a in-wheel brushless DC motor after considering the characteristics of various types of motor and application scenarios of ACC.And adopting hydraulic brake,at the meantime.Modeling the electric vehicle,in-wheel brushless DC motor and a simplified braking system.The controller of ACC system is composed of an upper controller that calculates the expected acceleration and a bottom controller which includes a driving/braking switching strategy.We use fuzzy control on upper controller due to the good robustness and less dependence on specific parameters of the vehicle than others.For safety considerations,the upper controller includes a minimum safety distance controller and a driver characteristic controller,and the minimum safety distance controller will work when the driver characteristic controller failure.The driver characteristics self-learning module adjusts the arguments(THW,TTC^-1)amount to adapt to different drivers when the driver characteristic controller acts.Finally,the system of ACC is simulated in several classical scenarios,and conclusion is that driver characteristic controller performs well in CC scenario,S-G scenario,high speed following scenario,cut in and cut out scenario.The paper simulates the full-range ACC with different types of driver.simulation results show that the driver characteristic controller designed in this paper satisfies the response characteristics of different types of drivers to the follow-up distance and the speed of the preceding vehicle,and the control effect is better than the ordinary driver with less driving experience.