摘要
以两轮驱动轿车为研究对象,提出了一种基于加速度及轮速信息的参考车速估计方法。以Kalman滤波为基本算法,结合试验分析,通过估计系统噪声特征和修正量测方程,改进了算法对加速度量测信号静态偏差变化的跟踪能力,提高了参考车速的估计精度。利用该方法估计参考车速具有不依赖大量试验、计算量小的特点,适于实车应用。
This work presents a new method for the estimation of reference vehicle speed of two-wheel drive vehicles,based on acceleration and the wheel speed information.The method is designed by using Kalman filtering algorithm,and by estimating system noise characteristic and correction equation,the traceability of the algorithm on static offset variation of acceleration signals is improved,and accuracy of estimation of vehicle speed is thus improved.The advantages of this approach are low dependency on road tests and low computational burden,which makes it suitable for vehicle application.
出处
《汽车技术》
北大核心
2011年第1期45-48,共4页
Automobile Technology
基金
国家863计划项目(2006AA11Z217)资助
汽车动态模拟国家重点实验室开放基金(20071112)资助
