基于简化粒子群优化算法的EPB制动最佳滑移率在线辨识方法  

Online Identification Method of EPB Braking Optimal Slip Rate Based on sPSO

作　　者：孙旭睿 樊智敏[1] SUN Xurui;FAN Zhimin(College of Electromechanical Engineering,Qingdao University of Science and Technology,Qingdao 266100)

机构地区：[1]青岛科技大学机电工程学院,青岛266100

出　　处：《舰船电子工程》2025年第1期111-117,共7页Ship Electronic Engineering

摘　　要：针对固定目标滑移率的ABS控制器在复杂路面制动时无法跟踪复杂路面最佳滑移率的问题,提出了一种车辆制动最佳滑移率的辨识方法,以进一步增大车辆制动时的纵向力,提高制动稳定性并缩短制动距离。首先,考虑车辆制动过程中的轴荷转移和悬架变形,建立了包含前后轮7自由度1/2车半主动悬架模型的车辆模型,该模型能够根据车速、轮速和制动力矩准确计算出车辆制动时的车轮纵向力和垂向力。提出基于简化粒子群优化算法的最佳滑移率辨识方法,对Pacejka轮胎-路面模型进行实时参数辨识,辨识出最大纵向力对应的最佳滑移率。最后,基于车辆EPB动态紧急制动工况,在Matlab/Simulink平台进行了仿真试验,证明了论文所提方法的有效性。Aiming at the problem that ABS controller with fixed target slip ratio cannot track the optimal slip ratio on complex road surface,an identification method of optimal slip ratio for vehicle braking is proposed to further increase the longitudinal force,improve the braking stability and shorten the braking distance.Firstly,considering the axle load transfer and suspension deforma⁃tion in the process of vehicle braking,a vehicle model including 7 DOF 1/2 vehicle semi-active suspension model of front and rear wheels is established,which can accurately calculate the longitudinal and vertical wheel force of vehicle braking according to the ve⁃hicle speed,wheel speed and braking torque.An optimal slip rate identification method based on simplified particle swarm optimiza⁃tion algorithm is proposed,and the real-time parameter identification of Pacejka tire road model is carried out to identify the optimal slip rate corresponding to the maximum longitudinal force.Finally,based on the EPB dynamic emergency braking condition of the vehicle,simulation tests are carried out on the Matlab/Simulink platform,and the effectiveness of the proposed method is proved.

关 键 词：EPB动态紧急制动 Pacejka轮胎-路面模型 粒子群优化算法 最佳滑移率辨识 半主动悬架 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]