TY - JOUR
T1 - A Comprehensive Vehicle Stability Assessment System Based on Enabling Tire Force Estimation
AU - Ding, Xiaolin
AU - Wang, Zhenpo
AU - Zhang, Lei
AU - Liu, Jizheng
N1 - Publisher Copyright:
© 1967-2012 IEEE.
PY - 2022/11/1
Y1 - 2022/11/1
N2 - 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.
AB - 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.
KW - Active safety control
KW - strong tracking unscented Kalman filter
KW - tire force estimation
KW - vehicle stability assessment
KW - vehicle stability prediction
UR - http://www.scopus.com/inward/record.url?scp=85135216768&partnerID=8YFLogxK
U2 - 10.1109/TVT.2022.3193139
DO - 10.1109/TVT.2022.3193139
M3 - Article
AN - SCOPUS:85135216768
SN - 0018-9545
VL - 71
SP - 11571
EP - 11588
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 11
ER -