A model-based traction control strategy non-reliant on wheel slip information

Deur, Joško; Pavković, Danijel; Burgio, Gilberto; Hrovat, Davor

doi:10.1080/00423114.2010.511675

Cited by 27 publications

(21 citation statements)

References 14 publications

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“…When the vehicle is in the limit state, the steady-state response of reference model is not suitable as a reference value. Therefore, the reference value is replaced by boundary value [20]. Equations (11) and (12) show the boundary values of the side slip angle and yaw rate.…”

Section: Vehicle Reference Modelmentioning

confidence: 99%

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Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control

Huang

et al. 2018

Mathematical Problems in Engineering

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Four-wheel independent drive electric vehicle was used as the research object to discuss the lateral stability control algorithm, thus improving vehicle stability under limit conditions. After establishing hierarchical integrated control structure, we designed the yaw moment decision controller based on model predictive control (MPC) theory. Meanwhile, the wheel torque was assigned by minimizing the sum of consumption rates of adhesion coefficients of four tires according to the tire friction ellipse theory. The integrated simulation platform of Carsim and Simulink was established for simulation verification of yaw/rollover stability control algorithm. Then, we finished road experiment verification of real vehicle by integrated control algorithm. The result showed that this control method can achieve the expectation of effective vehicle tracking, significantly improving the lateral stability of vehicle.

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Section: Vehicle Reference Modelmentioning

confidence: 99%

“…, 1 , and 2 are discrete matrices, in order to reduce or eliminate static errors; (19) is rewritten as an incremental model (20).…”

Section: Design Of Mpc Controlmentioning

confidence: 99%

Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control

Huang

et al. 2018

Mathematical Problems in Engineering

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“…As one of the semi-empirical models, "Magic Formula" tire model is widely recognized as the most outstanding tire-computing model in the simulation analysis of vehicle handling stability for its good calculation accuracy [3] . For the "Magic Formula" model applied better during the analysis of vehicle handling stability, a tire dynamic simulation model is established in Matlab / Simulink based on "Magic Formula" model, and the simulation of braking, turning and turning braking combination conditions are carried out, turning out the tire dynamic characteristic curves are in good agreement with the actual situation.…”

Section: Introductionmentioning

confidence: 99%

The Simulation of Tire Dynamic Performance Based on qMagic Formulaq

Shi¹,

Zhao²,

Zhang³

et al. 2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

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Abstract. Based on "Magic Formula", the tire dynamics simulation model was established in the Matlab/Simulink, contraposed many conditions like braking, steering and steering-braking combination. The main load of tire and the wheel aligning torque were simulated, then got the relationship curve between the longitudinal force/lateral force and slip rate and the relationship curve between the wheel aligning torque and the side slip angle in corresponding conditions. The research results show that the tire dynamic characteristic curve is in good agreement with the actual situation, which not only verifies the correctness of the tire model, but also lays the foundation for the subsequent vehicle dynamics simulation based on the tire model.

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“…Therefore, much research has been carried out so far focusing on this area [5][6][7][8][9]. Logic threshold control is widely adopted in most of the mature Anti-lock Braking System (ABS) products [10].…”

Section: Introductionmentioning

confidence: 99%

Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability

Zhang

Göhlich

2017

Energies

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This paper presents an integrated traction control strategy (ITCS) for distributed drive electric vehicles. The purpose of the proposed strategy is to improve vehicle economy and longitudinal driving stability. On high adhesion roads, economy optimization algorithm is applied to maximize motors efficiency by means of the optimized torque distribution. On low adhesion roads, a sliding mode control (SMC) algorithm is implemented to guarantee the wheel slip ratio around the optimal slip ratio point to make full use of road adhesion capacity. In order to avoid the disturbance on slip ratio calculation due to the low vehicle speed, wheel rotational speed is taken as the control variable. Since the optimal slip ratio varies according to different road conditions, Bayesian hypothesis selection is utilized to estimate the road friction coefficient. Additionally, the ITCS is designed for combining the vehicle economy and stability control through three traction allocation cases: economy-based traction allocation, pedal self-correcting traction allocation and inter-axles traction allocation. Finally, simulations are conducted in CarSim and Matlab/Simulink environment. The results show that the proposed strategy effectively reduces vehicle energy consumption, suppresses wheels-skid and enhances the vehicle longitudinal stability and dynamic performance.

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A model-based traction control strategy non-reliant on wheel slip information

Cited by 27 publications

References 14 publications

Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control

Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicles Based on Model Predictive Control

The Simulation of Tire Dynamic Performance Based on qMagic Formulaq

Integrated Traction Control Strategy for Distributed Drive Electric Vehicles with Improvement of Economy and Longitudinal Driving Stability

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