期刊文献+

基于UKF的分布式驱动电动汽车轮胎侧向力估计 被引量:1

Estimation of Tire Lateral Force for Distributed Drive Electric Vehicle Based on UKF
下载PDF
导出
摘要 轮胎侧向力是影响车辆横向稳定性的关键因素,但难以对其进行直接检测。利用分布式驱动电动汽车轮胎纵向力可直接计算的特点,将轮胎纵向力作为输入量,基于UKF估计算法实现分布式驱动电动汽车前后轴轮胎侧向合力的估计。结合垂直载荷与轮胎侧向力的关系,实现前后轴左右侧轮胎侧向力的分配。通过CarSim和MATLAB/Simulink联合仿真,分析了UKF估计算法和直接计算法的估计精度,验证了所提出方法的优越性。同时,分析了具有参数不确定性时估计算法的鲁棒性,证明质量参数的不确定性对估计精度影响较大。 The tire lateral forcesisa key factor to affect vehicle lateral stability-. However, it is difficult to be detec- ted directly. The tire longitudinal force of a distributed drive electric vehicle can be calculated directly. It can be taken asinputquantities, and the totaltire lateral forces of the front and rear axle of the distributed drive electric vehicle arees- timated based on the Unscented KalmanFilter (UKF) algorithm. The tire lateral forces distribution on the left and right side of axis are realized by combining the relationship between the vertical load and the tire lateral force. Through the co -simulation of CarSim and MATLAB/ Simulink, the estimation accuracies of the UKF and the direct calculation method were analyzed, and the superiority- of the proposed method was verified. At the same time, the robustness of the estimation algorithm with parameter uncertaintieswere analyzed, and it is proved that the uncertainty- of the quality- pa- rameter has a great influence on the estimation accuracy.
作者 张志勇 张淑芝 黄彩霞 唐磊 ZHANG Zhiyong;ZHANG Shuzhi;HUANG Caixia;TANG Lei(Key Laboratory of Lightweight and Reliability Techlmlogy for Engineering Vehicle,Changsha 410114 CTdna;College of Automobile and Mechanical Engineering,Changsha University of Scielwe and Technology,Changsha 410114 China;The State Key Laboratory of Advatwed Design and Manufacturing for Vehicle Body,Hunan University,Changsha 410082 China)
出处 《西华大学学报(自然科学版)》 CAS 2018年第6期1-6,共6页 Journal of Xihua University:Natural Science Edition
基金 国家自然科学基金资助项目(51675057) 湖南省教育厅资助科研项目(15B008,16C0906)
关键词 电动汽车 轮胎力估计 无迹卡尔曼滤波 分布式驱动 参数不确定性 electric vehicle tire force estimation unscented Kalman filter distributed drive parameter uncer-tainties
  • 相关文献

参考文献5

二级参考文献81

  • 1葛英辉,倪光正.采用滑模变结构的电动车最佳滑移率控制的研究[J].江南大学学报(自然科学版),2004,3(5):454-459. 被引量:3
  • 2王雪,王晟,马俊杰.径向基粒子滤波状态跟踪测量算法[J].机械工程学报,2006,42(12):21-25. 被引量:4
  • 3M ' sirdi N, Rabhi A, Zbiri N, et al. Vehicle-road interaction modeling for estimation of contact force [ J ]. Vehicle System Dynamics, 2005, 43(1) : 403 -411.
  • 4Satria M, Best M C. Comparison between Kalman filter and robust filter for vehicle handling dynamics state estimation [ C ]. SAE Paper 2002 - 01 - 1185, 2002.
  • 5Ray L R. Nonlinear tire force estimation and road friction identification: simulation and experiment[ J]. Automatica, 1997, 33(10): 1 819-1833.
  • 6Wilkin M A, Crolla D C, Levesley M C, et al. Designed verification of an extended Kalman filter to estimation vehicle tyre force[ C ]. SAE Paper 2006 - 01 - 1285, 2006.
  • 7Wenzel T A, Burnham K J, Blundell M V. Dual extended Kalman filter for vehicle state and parameter estimation [ J ]. Vehicle System Dynamics, 2006, 44(2) : 153 -171.
  • 8Baffet G, Charara A. An observer of tire-road forces and friction for active security vehicle system [ J ]. IEEE/ASME Transactions on Mechatronics, 2007, 12 ( 6 ) : 651 - 661.
  • 9Bolzern P, Cheli F, Falciola G, et al. Estimation of the non-linear suspension tyre eorning forces from experimental road test data[ J ]. Vehicle System Dynamics, 1999, 31 ( 1 ) : 23 - 34.
  • 10Kim J. Identification of lateral tyre force dynamics using an extended Kalman fiher from experimental road test data [ J ]. Control Engineering Practice, 2009, 17 (3) : 357 - 367.

共引文献52

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部