纯电动汽车质心侧偏角估计及仿真分析  

Estimation of Sideslip Angle and Simulation Analysis for Battery Electric Vehicle

作　　者：方春杰[1] 

机构地区：[1]重庆交通大学

出　　处：《汽车工程师》2017年第11期34-37,共4页Automotive Engineer

基　　金：重庆市重点实验室项目(csct2015yfpt_zdsys30001);重庆市自然科学基金重点项目(CSTC2013yykf B0184)

摘　　要：为了解决纯电动汽车主动安全控制过程中质心侧偏角不容易直接测量这一难题,针对高速移线工况下的纯电动汽车,建立3自由度车辆动力学模型,并采用CarSim和MATLAB/Simulink分别搭建纯电动汽车整车参数化模型和驱动电机模型;基于扩展卡尔曼滤波(EKF)算法,设计状态观测器对纯电动汽车质心侧偏角进行估计;结合ISO 3888紧急双移线工况,对状态观测器的估计效果进行联合仿真验证。仿真结果表明,采用该估计方法得到的质心侧偏角估计值与仿真模型的输出值基本吻合,且估计精度较高,能够满足纯电动汽车主动安全控制的实际需求。In order to solve the problem that it is difficult to directly measure the sideslip angle in the process of battery electric vehicle active safety control, aiming at the battery electric vehicle under the high speed lane change condition, a three- degree -of-freedom dynamics model is established, and the parametric vehicle model as well as the drive motor model for battery electric vehicle is separately established in CarSim and MATLAB/Simulink. Based on EKF algorithm, a state observer is designed to estimate the sideslip angle of battery electric vehicle. Combined with the ISO 3888 emergency double lane change condition, estimated effects of the state observer are co-simulated and validated. The simulation results show that the sideslip angle estimated by the estimation method is basically consistent with the output values of the simulation model, and the estimation accuracy is high, which can meet the actual needs of active safety control for the battery electric vehicle.

关 键 词：纯电动汽车 EKF算法 质心侧偏角 观测器 CARSIM 

分 类 号：U469.72[机械工程—车辆工程]