基于UKF算法的电动汽车车速坡度估计  

Estimation of the EV Vehicle Speed and Slope Based on the UKF Algorithm

作　　者：华仲让 唐阳山[1] 徐莉 Hua Zhong-rang;Tang Yang-shan;Xu Li(Liaoning University of Technology,Liaoning Jinzhou 121001)

机构地区：[1]辽宁工业大学,辽宁锦州121001

出　　处：《内燃机与配件》2024年第5期12-14,共3页Internal Combustion Engine & Parts

摘　　要：精准的车辆车速与道路坡度,是实现车辆驱动防滑控制系统研究的关键,本文考虑到转弯工况,建立转向与道路坡度耦合的混合工况模型,运用UKF算法进行车速坡度联合估计,该算法融合了运动学与动力学两种方式,并且基于MATLAB/Simulink与Carsim搭建联合仿真平台,对所设计的混合工况车速和坡度的估计器与控制策略进行了仿真验证,比传统估计方法精度更高,响应速度以及鲁棒性更好。Accurate vehicle speed and road slope are the key to realize the research of vehicle drive anti-skid control system.In this paper considers the turning condition,establishes a mixed condition model coupling steering and road slope,and UKF algorithm is used to jointly estimate the speed slope.This algorithm integrates kinematics and dynamics,and is based on it MATLAB/Simulink and CarSim build a joint simulation platform to simulate and verify the designed estimator and control strategy of mixed working speed and slope,which has higher accuracy,better response speed and robustness than traditional estimation.

关 键 词：混合工况 UKF算法 车速坡度联合估计 联合仿真 

分 类 号：U469.72[机械工程—车辆工程]