A Comprehensive Vehicle Stability Assessment System Based on Enabling Tire Force Estimation

被引：33
作者：
Ding, Xiaolin [1 ,2 ]
Wang, Zhenpo [1 ,2 ]
Zhang, Lei [1 ,2 ]
Liu, Jizheng [1 ,2 ]
机构：
[1] Beijing Inst Technol, Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100081, Peoples R China
[2] Beijing Inst Technol, Natl Engn Res Ctr Elect Vehicles, Beijing 100081, Peoples R China
来源：
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2022年 / 71卷 / 11期
关键词：
Active safety control; tire force estimation; vehicle stability assessment; vehicle stability prediction; strong tracking unscented Kalman filter; AVOIDANCE; IDENTIFICATION; DESIGN;
D O I：
10.1109/TVT.2022.3193139
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an enabling comprehensive vehicle stability assessment system covering vehicle longitudinal, yaw and roll stability. First, the longitudinal, lateral and vertical tire forces are separately estimated using the strong tracking unscented Kalman filter and the conventional Kalman filter based on low-cost on-board sensors. Then, a comprehensive vehicle longitudinal, yaw and roll stability space is established by utilizing the normalized tire friction ellipse and the Load Transfer Ratio value. Finally, the vehicle stability is determined and predicted based on current driver's inputs. The hardware-in-loop experimental results show that the proposed vehicle stability assessment system can accurately estimate the longitudinal, lateral and vertical tire forces with the normalized root mean square errors of 1.87%, 1.07% and 1.43%, and exhibits satisfying performance for vehicle longitudinal, yaw and roll stability evaluation and prediction. This bears significance for the efficient functioning of active control systems to improve vehicle safety under critical driving conditions.
引用
收藏
页码：11571 / 11588
页数：18
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