分布式电驱动车车速及路面附着系数融合估计  

Velocity and Road Friction Coefficient Fusion Estimation of Distributed Electric Drive Vehicle

作　　者：高博麟[1,2,3] 陈慧[3] 谢书港[2] 龚进峰[2] 

机构地区：[1]天津大学机械工程学院,天津300072 [2]中国汽车技术研究中心,天津300300 [3]同济大学汽车学院,上海201804

出　　处：《汽车工程》2016年第2期216-220,共5页Automotive Engineering

基　　金：国家973计划项目(2011CB711200)资助

摘　　要：基于纵向车速融合估计器,结合分布式驱动电动汽车的优势,采用多种估计方法,建立了路面峰值附着系数融合估计器,并进行了实车试验验证。结果表明,建立的基于双卡尔曼滤波技术的车速及路面峰值附着系数融合估计系统,扩大了路面峰值附着系数估计的适用工况范围,保证了纵向车速估计的精度。Based on the vehicle longitudinal speed fusion estimator,combined with the advantage of distributed drive electric vehicle,and by adopting various estimation methods,a fusion estimator for road peak friction coefficient is established and a real vehicle verification test is conducted. The results show that the dual Kalman filtering technique-based fusion estimation system for vehicle speed and road peak friction coefficient established extends the applicable condition range of road peak friction coefficient and ensures the accuracy of vehicle longitudinal speed estimation.

关 键 词：分布式驱动电动汽车 双卡尔曼滤波 车速估计 路面峰值附着系数 融合估计 

分 类 号：U469.72[机械工程—车辆工程]