首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于多信息融合的全轮独立电驱动车辆车速估计
引用本文:褚文博,李深,江青云,刘力,罗禹贡.基于多信息融合的全轮独立电驱动车辆车速估计[J].汽车工程,2011,33(11):962-966.
作者姓名:褚文博  李深  江青云  刘力  罗禹贡
作者单位:1. 清华大学,汽车安全与节能国家重点实验室,北京100084
2. 吉林大学汽车工程学院,长春,130025
基金项目:国家自然科学基金项目(50805081); 汽车安全与节能国家重点实验室自主科研项目(ZZ080183); 汽车零部件制造及检测技术教育部重点实验室开放基金项目(2009klmt02)资助
摘    要:鉴于用非驱动轮轮速信号来估计车速的方法已不适用于没有非驱动轮的全轮独立电驱动车辆,提出了借融合车载普通传感器信号和驱动电机反馈信号等多信息源,并基于稳态工况下的轮速信号卡尔曼滤波和瞬态工况下的加速度积分的全轮驱动车辆车速估计方法.通过实车试验对该方法的有效性、适用性和精度进行了验证.

关 键 词:车速估计  全轮驱动  卡尔曼滤波  多信息融合

Speed Estimation for All-wheel Drive Vehicles Based on Multi-information Fusion
Chu Wenbo,Li Shen,Jiang Qingyun,Liu Li,Luo Yugong.Speed Estimation for All-wheel Drive Vehicles Based on Multi-information Fusion[J].Automotive Engineering,2011,33(11):962-966.
Authors:Chu Wenbo  Li Shen  Jiang Qingyun  Liu Li  Luo Yugong
Institution:Chu Wenbo1,Li Shen2,Jiang Qingyun1,Liu Li1 & Luo Yugong1 1.Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing 100084,2.College of Automotive Engineering,Jilin University,Changchun 130025
Abstract:In view of the unsuitability of traditional speed estimation methods based on speed signal of driven wheel to all-wheel drive vehicle without driven wheels,a speed estimation scheme for all-wheel drive vehicle is proposed by means of the fusion of multi-information including on-board common sensor signals and feedback signals of driving motor,and based on the Kalman filtering of wheel speed signal in steady-state condition and acceleration integration in transient condition.The results of real vehicle test ...
Keywords:vehicle speed estimation  all-wheel-drive  Kalman filtering  multi-information fusion  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号