Analysis of AFS based on car navigation electronic map
1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, Hubei 430070,China; 2.Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan, Hubei 430070, China)
Abstract：To solve the problems of lagging and imprecise in AFS system algorithm during facing the curve, the Stype road or transition curve, a new PAFS algorithm was proposed. The car navigation electronic map information was effectively used to control the deflection angle of headlights by vehicle speed and road curvature. Combining the bulb 5 lxisolux enveloping line, the starting time of AFS was determined. Adopting the improved genetic algorithm, the PID parameters were set, and a joint simulation model of the whole system was established by Carsim and Simulink software. The simple road model and the actual road model were simulated and compared with the traditional algorithm results. The results show that the PAFS algorithm can effectively solve the lagging question in traditional AFS algorithm with improved control accuracy.
刘建国, 柳思健, 付恒. 基于汽车导航电子地图的汽车AFS分析[J]. 江苏大学学报（自然科学版）, 2018, 39(1): 1-6.
LIU Jian-Guo, LIU Si-Jian, FU Heng. Analysis of AFS based on car navigation electronic map[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2018, 39(1): 1-6.
2018, Vol. 39 
