Lateral Stability Control of Four-Wheel-Drive Vehicle Based on Coordinated Control of Torque Distribution and Vehicle Dynamics

Yuan, Qin; Li, Cheng; Jing, Hao; Cui, Rantao; Yu, Lei

doi:10.1109/gcrait55928.2022.00160

Cited by 3 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, Liu et al [16] designed an additional yaw moment controller based on SMC by taking yaw angle, yaw rate and lateral displacement as the control variables. Qin et al [17] designed a sliding mode controller considering suspension load transfer and dynamic characteristics to control the output torque of each in-wheel motor and improve vehicle lateral stability. However, the use of fixed weights in the design of the sliding mode surface makes it difficult to ensure adaptability under different working conditions.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Guo

Feng

et al. 2023

Sustainability

View full text Add to dashboard Cite

High-speed and complex road conditions make it easy for vehicles to reach limit conditions, increasing the risk of instability. Consequently, there is an urgent need to solve the problem of vehicle stability and safety. In this paper, adaptive stability control is studied in BEVs driven by in-wheel motors. Based on the sliding model algorithm, a joint weighting control of the yaw rate and sideslip angle is carried out, and a weight coefficient is designed using a fuzzy algorithm to realize adaptive direct yaw moment control. Next, optimal torque distribution is designed with the minimum sum of four tire load rates as the optimization objective. Then, combined with the road adhesion coefficient and the maximum motor torque constraint, the torque distribution problem is transformed into a functionally optimal solution problem with constraints. The simulation results show that the direct yaw moment controller based on the adaptive sliding mode algorithm has a good control effect on the yaw rate and sideslip angle, and it can effectively improve vehicle adaptive stability control. In the optimal torque distributor based on road surface recognition, the estimated error of road adhesion is within 10%, and has a greater margin to deal with vehicle instability, which can effectively improve vehicle adaptive stability control.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Guo

Feng

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

Fault Diagnosis and Fault Tolerance Degradation Control Based on Fuzzy Decision for RSAS of Redundant Braking System

Zhu,

Wang,

et al. 2024

IEEE Sensors J.

View full text Add to dashboard Cite

A Dual-Layer Control System for Steering Stability of Distributed-Drive Electric Vehicle

Xiao,

Zhang,

Huang

et al. 2024

WEVJ

View full text Add to dashboard Cite

In addressing the limitations of traditional steering stability control strategies applied to distributed-drive electric vehicles (DDEVs)—which primarily focus on measuring yaw rate and sideslip angle and may result in loss of control during steering maneuvers—this study conducts a more comprehensive analysis of DDEVs’ steering control stability. It specifically investigates the relationships among the lateral positions of both the front and rear wheels, the slip ratios, and the angular orientation of the vehicle’s body during steering processes. Furthermore, a dual-layer steering stability control system aimed at enhancing the steering stability performance of DDEVs is introduced. This control system consists of two components: a lateral controller and a longitudinal controller. The lateral controller aims to establish clear linkages among four key variables, the front and rear wheel sideslip angles, yaw rate, and sideslip angle, and then to compute the necessary active front wheel steering angle and corresponding yaw moment based on the current vehicle body attitude. The findings indicate that, in comparison to the conventional DDEV controller, the proposed two-layer controller achieves substantially closer alignment to the reference curve during steering, with the accuracy increased by a factor of approximately 5 to 20. These results unequivocally affirm the efficacy and viability of the proposed approach.

show abstract

Lateral Stability Control of Four-Wheel-Drive Vehicle Based on Coordinated Control of Torque Distribution and Vehicle Dynamics

Cited by 3 publications

References 6 publications

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Adaptive Stability Control Based on Sliding Model Control for BEVs Driven by In-Wheel Motors

Fault Diagnosis and Fault Tolerance Degradation Control Based on Fuzzy Decision for RSAS of Redundant Braking System

A Dual-Layer Control System for Steering Stability of Distributed-Drive Electric Vehicle

Contact Info

Product

Resources

About