Research on Suspension Systems Control for Heavy Duty Transport Vehicles under Extreme Operating Conditions Considering Handling Stability

The driving conditions for heavy-duty transport vehicles are complex, with many extreme operating conditions which impose higher requirements on vehicle ride comfort and handling stability. Therefore, while controlling the vehicle’s ride comfort, it is necessary to consider the vehicle’s yaw characteristics to ensure driving safety. In response to this issue, this article establishes a nine-degrees-of-freedom vehicle suspension model for heavy-duty long-distance transportation vehicles, and compares the ride comfort and handling and maneuverability of the vehicle under two typical extreme steering conditions: drift and turning braking, with passive suspension, fuzzy proportional-integral-derivative (PID) control, and sky-hook damping control. The conclusion is drawn that controlling ride comfort will inevitably lead to deterioration of handling and maneuverability. From the perspective of semi-active vehicle control and parameter optimization, the method of collaborative optimization control between the two is discussed. Finally, a comprehensive evaluation method for vehicle performance is proposed by combining the annoyance rate model with the grey correlation method, taking into account both the physical parameters of the vehicle and the subjective factors of the occupants.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-03-29
DOI
https://doi.org/10.1177/03611981251315691
Citations
1
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.68
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article

Research on Suspension Systems Control for Heavy Duty Transport Vehicles under Extreme Operating Conditions Considering Handling Stability

Zhe Liu, Tingting Yang, Jinhai Wang, Jianmin Sun
1 citations
Transportation Research Record Journal of the Transportation Research Board
Vehicle Dynamics and Control Systems
0.68
article

Research on Suspension Systems Control for Heavy Duty Transport Vehicles under Extreme Operating Conditions Considering Handling Stability

Zhe Liu, Tingting Yang, Jinhai Wang, Jianmin Sun
article en
1 citations

Abstract

The driving conditions for heavy-duty transport vehicles are complex, with many extreme operating conditions which impose higher requirements on vehicle ride comfort and handling stability. Therefore, while controlling the vehicle’s ride comfort, it is necessary to consider the vehicle’s yaw characteristics to ensure driving safety. In response to this issue, this article establishes a nine-degrees-of-freedom vehicle suspension model for heavy-duty long-distance transportation vehicles, and compares the ride comfort and handling and maneuverability of the vehicle under two typical extreme steering conditions: drift and turning braking, with passive suspension, fuzzy proportional-integral-derivative (PID) control, and sky-hook damping control. The conclusion is drawn that controlling ride comfort will inevitably lead to deterioration of handling and maneuverability. From the perspective of semi-active vehicle control and parameter optimization, the method of collaborative optimization control between the two is discussed. Finally, a comprehensive evaluation method for vehicle performance is proposed by combining the annoyance rate model with the grey correlation method, taking into account both the physical parameters of the vehicle and the subjective factors of the occupants.

Transportation Research Record Journal of the Transportation Research BoardVol. 2679(6)
Shanghai Tunnel Engineering Rail Transit Design & Research Institute (CN), Beijing University of Civil Engineering and Architecture (CN)
Openalex Percentile: Top 32%
Vehicle Dynamics and Control Systems
0.68
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Research on Suspension Systems Control for Heavy Duty Transport Vehicles under Extreme Operating Conditions Considering Handling Stability — Zhe Liu, Tingting Yang, et al. · Transportation Research Record Journal of the Transportation Research Board (2025) | TGRS Research Map | TGRS