Stability control of in-wheel motor electric vehicles under extreme conditions

Zhao, Wanzhong; Wang, Chunyan; Zhang, Lipeng

doi:10.1177/0142331218814899

Cited by 12 publications

(9 citation statements)

References 33 publications

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“…e results indicated a significant increase in the sideslip with low cornering stiffness, especially at high vehicle speeds. Our car model's simulation results are in considerable agreement with those obtained in [26][27][28].…”

Section: Simulation Assessmentsupporting

confidence: 85%

Conflict and Sensitivity Analysis of Vehicular Stability Using a Two‐State Linear Bicycle Model

Hassan

Abdelkareem

Tan

et al. 2021

Shock and Vibration

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Vehicle parameters and operation conditions play a critical role in vehicular handling and stability. This study aimed to evaluate vehicle stability based on cornering tire stiffness integrated with vehicle parameters. A passenger vehicle is considered in which a two-state linear bicycle model is developed in the Matlab/Simulink. The effect of the vehicle parameters on lateral vehicle stability has been investigated and analyzed. The investigated parameters included CG longitudinal position, wheelbase, and tire cornering stiffness. Furthermore, the effects of load variation and vehicle speed were addressed. Based on a Fishhook steering maneuver, the lateral stability criteria represented in lateral acceleration, yaw rate, vehicle sideslip angle, tire sideslip angles, and the lateral tire force were analyzed. The results demonstrated that the parameters that affect the lateral vehicle stability the most are the cornering stiffness coefficient and the CG longitudinal location. The findings also indicated a positive correlation between vehicle properties and lateral handling and stability.

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Section: Simulation Assessmentsupporting

confidence: 85%

Conflict and Sensitivity Analysis of Vehicular Stability Using a Two‐State Linear Bicycle Model

Hassan

Abdelkareem

Tan

et al. 2021

Shock and Vibration

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“…With the normalized length u = 2x/l, and the normalized width v = 2y/w, formulas (28), and ( 29) can be transformed into:…”

Section: Pressure Distribution Model Of Tyrementioning

confidence: 99%

“…As the main control target, the 2-Degree-of Freedom (2-DOF) linear vehicle is chosen, the desired yaw rate r d and slip angle b d as the state variables, and the state equation of a 2-DOF linear vehicle can be written in the form of equation (49). [25][26][27][28][29][30][31] where L i is the distance from the i-th axle to CoG, u is the longitudinal speed of the vehicle, and d i is the steering angle of the i-th axle. And the steering angles of axles in the ideal all-wheel steering mode are shown in Figure 12(a), while in c condition shown in Figure 12(b).…”

Section: Distribution Of Lateral and Longitudinal Forces Based On Tyr...mentioning

confidence: 99%

Research on tyre mechanics model for multi-axle coordinated steering of heavy vehicles

Liu

Zhu

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Compared with passenger cars, heavy vehicles have larger loads, longer bodies, more steering modes, and are more likely to cause improper steering angle relationships among the wheels, resulting in uncoordinated steering. This uncoordinated steering makes the tyres roll and drag, which results in abnormal lateral and longitudinal slips, changing the lateral and longitudinal mechanical characteristics of tyres and leading to low path tracking accuracy and poor steering performance of vehicles. Therefore, a tyre model containing lateral and longitudinal mechanical characteristics under heavy load is the key to solving the problem of uncoordinated steering in heavy vehicles. Firstly, with the physical tyre model, the lateral and longitudinal slip is described as carcass deflections. With the carcass deflections and contact pressure distribution of heavy load, the tyre forces under uncoordinated steering conditions are derived. Then, the tyre imprint parameters are obtained with a test bench, and a two-dimensional contact pressure distribution model is established to reproduce the contact pressure distribution of tyre under heavy loads and dynamic slips. The comparison results with Magic Formula (MF) and Trucksim are generally consistent, proving the effectiveness of the model. Finally, a lateral and longitudinal tyre force distribution control of vehicles is carried out based on the established model. The results of the Trucksim-Simulink co-simulation show that the path tracking accuracy of vehicles is significantly improved, which demonstrates that the tyre model incorporating lateral and longitudinal mechanical characteristics under heavy loads can provide a theoretical basis for solving the problem of uncoordinated steering in heavy vehicles.

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“…With the development of electric vehicles (EVs), more and more researchers focused on the EVs driven by four independent in-wheel motors (EV-DFIM) (Zhang et al, 2019). The safety and handling stability issues, which are the keys of the EV-DFIM, have been the research focus in the automotive industry.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear lateral motion stability control method for electric vehicle based on the combination of dual extended state observer and domination approach via sampled-data output feedback

Meng

Sun

2021

Transactions of the Institute of Measurement and Control

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This paper studies lateral motion stability control method for an electric vehicle (EV) with uncertain disturbances. Aiming to suppress the influence of uncertain disturbances, a novel method based on the combination of dual extended state observer (dESO) and domination approach is proposed. The proposed method enables the designed controller just to adopt a smaller scaling gain than the classic domination method, which is more practical for the controller in engineering. Firstly, a dESO is proposed to estimate the uncertain disturbances of the system. Also, a sampled-data output feedback domination approach is designed to dominate the disturbances by using a scaling gain. Then, the sampled-data output feedback control law is constructed based on the dESO and domination approach called dESOD. Furthermore, the stability analysis is presented to show that the proposed sampled-data controller can guarantee the closed-loop system globally asymptotically stable. Finally, the simulations and experiment results show the effectiveness of the proposed method.

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Stability control of in-wheel motor electric vehicles under extreme conditions

Cited by 12 publications

References 33 publications

Conflict and Sensitivity Analysis of Vehicular Stability Using a Two‐State Linear Bicycle Model

Conflict and Sensitivity Analysis of Vehicular Stability Using a Two‐State Linear Bicycle Model

Research on tyre mechanics model for multi-axle coordinated steering of heavy vehicles

Nonlinear lateral motion stability control method for electric vehicle based on the combination of dual extended state observer and domination approach via sampled-data output feedback

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