@inproceedings{4082a4a6ea654d0a9d31ccf514ea184d,
title = "A Vehicle Rollover Prediction System Based on Lateral Load Transfer Ratio",
abstract = "In this paper, an enabling rollover prediction system (RPS) is proposed for vehicles equipped with active suspension system using the suspension height and the lateral acceleration. For accurate RPS triggering, a 1/4 suspension model is first established to estimate the tire vertical load and calculate the lateral load transfer ratio (LTR) that is used as the triggering signal. Then, a rollover prediction system is put forward to predict vehicle roll tendency based on the vehicle roll dynamic model. The rollover prediction system outputs three rollover warning states based on the LTR value and the prediction state. Finally, the accuracy and effectiveness of the proposed rollover prediction system are examined under the double lane change and fish hook maneuvers in co-simulation of Matlab/Simulink and CarSim. The results show that the proposed method has high estimation accuracy, reliability and real-time performance.",
keywords = "active suspension, lateral load transfer ratio, roll motion, rollover prediction",
author = "Xiaolin Ding and Zhenpo Wang and Lei Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Chinese Automation Congress, CAC 2020 ; Conference date: 06-11-2020 Through 08-11-2020",
year = "2020",
month = nov,
day = "6",
doi = "10.1109/CAC51589.2020.9327119",
language = "English",
series = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7256--7261",
booktitle = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
address = "United States",
}