TY - JOUR
T1 - Vehicle Rollover Propensity Detection Based on a Mass-Center-Position Metric
T2 - A Continuous and Completed Method
AU - Wang, Fengchen
AU - Chen, Yan
N1 - Funding Information:
Manuscript received September 3, 2018; revised March 4, 2019 and May 14, 2019; accepted July 2, 2019. Date of publication July 23, 2019; date of current version September 17, 2019. This work was supported by ASU Ira A. Fulton Schools of Engineering. The review of this paper was coordinated by Prof. D. Sebastien. (Corresponding author: Yan Chen.) The authors are with the Polytechnic School, Arizona State University, Mesa, AZ 85212 USA (e-mail: fengchen.w@asu.edu; yanchen@asu.edu). Digital Object Identifier 10.1109/TVT.2019.2930698
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Rollover index is an essential metric to detect vehicle rollover propensity, which is used to warn a driver or trigger an active rollover prevention system to perform corrective action. To give continuous and completed rollover information, this paper presents a novel rollover index based on a mass-center-position (MCP) metric. The MCP is first determined by estimating the positions of the center of mass of the vehicle, which consists of one sprung mass and two unsprung masses with two switchable roll motion models, before and after tire liftoff. The roll motion information can then be provided through the MCP continuously without saturation for both tripped and untripped rollovers. Moreover, to describe the completed rollover status, different criteria are derived from D'Alembert's principle and the moment balance conditions based on the MCP. In addition to tire liftoff, three new rollover statuses, 'rollover threshold,' 'rollover,' and vehicle jumping 'in the air,' can be all identified by the proposed criteria. Furthermore, the sensitivity analysis is conducted on some key parameters, such as the sprung/unsprung masses and the height of the center of gravity, to validate the robustness of the proposed detection method. Compared with an existing representative rollover index, lateral load transfer ratio, the fishhook maneuver simulation results in CarSim for an electric vehicle show that the MCP metric can successfully predict vehicle impending rollover status continuously and completely for both untripped and tripped rollovers.
AB - Rollover index is an essential metric to detect vehicle rollover propensity, which is used to warn a driver or trigger an active rollover prevention system to perform corrective action. To give continuous and completed rollover information, this paper presents a novel rollover index based on a mass-center-position (MCP) metric. The MCP is first determined by estimating the positions of the center of mass of the vehicle, which consists of one sprung mass and two unsprung masses with two switchable roll motion models, before and after tire liftoff. The roll motion information can then be provided through the MCP continuously without saturation for both tripped and untripped rollovers. Moreover, to describe the completed rollover status, different criteria are derived from D'Alembert's principle and the moment balance conditions based on the MCP. In addition to tire liftoff, three new rollover statuses, 'rollover threshold,' 'rollover,' and vehicle jumping 'in the air,' can be all identified by the proposed criteria. Furthermore, the sensitivity analysis is conducted on some key parameters, such as the sprung/unsprung masses and the height of the center of gravity, to validate the robustness of the proposed detection method. Compared with an existing representative rollover index, lateral load transfer ratio, the fishhook maneuver simulation results in CarSim for an electric vehicle show that the MCP metric can successfully predict vehicle impending rollover status continuously and completely for both untripped and tripped rollovers.
KW - Center of mass
KW - D'Alembert's principle
KW - rollover
KW - sensitivity analysis
KW - vehicle roll dynamics
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U2 - 10.1109/TVT.2019.2930698
DO - 10.1109/TVT.2019.2930698
M3 - Article
AN - SCOPUS:85077495220
SN - 0018-9545
VL - 68
SP - 8652
EP - 8662
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 9
M1 - 8770139
ER -