|Table of Contents|

Joint estimation method of key parameters for automotive active safety(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2014年01期
Page:
65-74
Research Field:
载运工具运用工程
Publishing date:

Info

Title:
Joint estimation method of key parameters for automotive active safety
Author(s):
SONG Xiang1;  LI Xu1;  ZHANG Wei-gong1;  CAI Feng-tian2;  WU Ming-ming1
1. School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Jiangsu, China; 2. Research Institute of Highway of Ministry of Transport, Beijing 100088, China
Keywords:
automotive engineering;  automotive active safety system;  parameter estimation;  interacting multiple model;  automotive velocity;  road friction coefficient
PACS:
U463.5
DOI:
-
Abstract:
According to the requirements of automotive active safety system, a joint estimation method of key parameters for automotive active safety including automotive longitudinal velocity, lateral velocity and road friction coefficient was proposed. Based on automotive dynamics model with 3 degrees of freedom and brush tire model, the extended Kalman filter models under different road friction coefficient conditions were established. Automotive longitudinal velocity and lateral velocity were adaptively estimated by using the interacting multiple model, and the road friction coefficient could be real-timely estimated based on the calculated model probabilities. Calculation result shows that the method can accurately estimate automotive longitudinal and lateral velocities under different road friction coefficient conditions, the estimation error rates are less than 1% and 5% respectively. Compared with extended Kalman filter method, the estimation error of automotive velocity estimated by using the method reduces by more than 50%. When road condition mutates, the road friction coefficient can be real-timely estimated, the estimation error is less than 0.1, and the response time is less than 2 s. 4 tabs, 11 figs, 16 refs.

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Last Update: 2014-03-20