农业机械学报2014，Vol.45Issue(11)：9-13,8,6.DOI:10.6041/j.issn.1000-1298.2014.11.002
基于扩展卡尔曼滤波的车辆质量与道路坡度估计
Vehicle Mass and Road Grade Estimation Based on Extended Kalman Filter
摘要
Abstract
To solve the problem that vehicle mass and road grade in automatic transmission control system are difficult to measure,the state-space model of system was established based on the vehicle longitudinal dynamic model,using the optimal estimation theory.The forward Euler method was adopted for discretization of the process equation.The Jacobian of the process equation was calculated for linearization of the non-linear process function.Then,the vehicle mass and road grade estimation algorithm using extended kalman filter was developed.The simulation using road test data was carried out in Matlab/Simulink environment.The simulation results show that this algorithm could estimate vehicle mass and road grade effectively and meet the requirements of the automatic transmission control system.关键词
自动变速器/最优估计/扩展卡尔曼滤波/车辆质量/道路坡度Key words
Automatic transmission / Optimal estimation/ Extended Kalman filter / Vehicle mass/Road grade分类
交通工程引用本文复制引用
雷雨龙,付尧,刘科,曾华兵,张元侠..基于扩展卡尔曼滤波的车辆质量与道路坡度估计[J].农业机械学报,2014,45(11):9-13,8,6.基金项目
国家高技术研究发展计划(863计划)资助项目(2012AA111712)、高等学校博士学科点专项科研基金资助项目(20120061110027)、吉林大学“985”工程资助项目和长江学者和创新团队发展计划资助项目(IRT1017) （863计划）
