›› 2012, Vol. 42 ›› Issue (05): 1083-1088.

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Rollover warning for light vehicles based on NN-TTR algorithm

ZHAO Jian1, GUO Li-tong1, ZHU Bing1,2, HUANG Qing-ling3, LI Shi-chao3, ZHOU Xin3   

  1. 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. Key Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China;
    3. Product Development Department, FAW CAR Co., Ltd., Changchun 130011, China
  • Received:2011-11-27 Online:2012-09-01 Published:2012-09-01

Abstract: In order to realize the accurate vehicle rollover warning, a 3-DoF rollover model and a time-to-rollover(TTR)-based rollover algorithm was established. Bionic intelligent artificial neural network(NN) was introduced to present a multi-parameter modified NN-TTR rollover warning algorithm. The typical vehicle state parameters were selected to analyze and correct the traditional TTR. The NN-TTR algorithm was validated using Matlab/Simulink and Carsim co-simulation platform. The results showed that the light vehicle rollover warning algorithm based on NN-TTR effectively improves the warning accuracy and provides a good foundation to improve the active anti-rollover control.

Key words: vehicle engineering, rollover warning, neural network, time-to-rollover, light vehicle

CLC Number: 

  • U463.1
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