A Model Predictive Control Approach With Slip Ratio Estimation for Electric Motor Antilock Braking of Battery Electric Vehicle

He, Zejia; Shi, Qin; Wei, Yujiang; Gao, Bingzhao; Zhu, Bo; He, Lei

doi:10.1109/tie.2021.3112966

Cited by 28 publications

(8 citation statements)

References 29 publications

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“…As shown in Figure 1, the iSteer system is divided into three parts: (1) remote control unit; (2) steering controllers; and (3) steering actuator. Steering controllers comprises of SCU and motor control unit (MCU) [21]. Steering actuator includes steering motor, timing belt, timing pulley, ball screw, steering rod, steering knuckle arm, steering wheel, etc.…”

Section: Sbw Systemmentioning

confidence: 99%

A model predictive control approach for angle tracking of steer‐by‐wire system with nonlinear transmission ratio

Shi

Wei

Xie

et al. 2022

Asian Journal of Control

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Steer‐by‐wire for full self‐driving vehicles requires rapid angle tracking in the process of steering, making steering system stability paramount. This is particularly challenging for steering wheels accurately without handwheel, for which road feedback information is scarce. While much of the research on steer‐by‐wire has focused on improving the stability of vehicle dynamics, comparatively little is known about the angle tracking control of steer‐by‐wire system for full self‐driving vehicle. Here, we discuss a series of studies on the steering dynamics model and nonlinear transmission ratio of steering system that, collectively, design an angle tracking approach of how the model predictive control algorithm steers the front wheels precisely. The designed approach has been downloaded into a steering control unit and tested by some steering cycles in a steering test bench to fully realize angle tracking control of steer‐by‐wire system in practical engineering.

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Section: Sbw Systemmentioning

confidence: 99%

A model predictive control approach for angle tracking of steer‐by‐wire system with nonlinear transmission ratio

Shi

Wei

Xie

et al. 2022

Asian Journal of Control

Self Cite

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“…The main intention of the ABS is to prevent the wheels lockup, and it has been complemented by systems such as the Electronic Brake Distribution, which distributes the braking force between front and rear wheels, the Anti-Spin Regulation, dedicated to prevent loss of traction on the wheels during the acceleration phase, and the Brake Assistance System that helps to reduce the force or pressing velocity needed by the driver to activate the ABS. In this sense, there are a set of systems linked to the ABS, which currently are being developed to maintain vehicle stability during the braking maneuvers [14,15,16,17].…”

Section: Introductionmentioning

confidence: 99%

Diagnostic methodology for vehicles equipped with Antilock Braking System and Electronic Stability Control

BETANCUR,

CASTILLO,

RAMOS

et al. 2024

Preprint

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Currently, several automotive companies are joining forces through the analysis and development of active safety systems for hazard avoidance and mitigation; from which according to the current regulations in the European Union the Anti-lock Braking System (ABS) and the Electronic Stability Control (ESC) outstand as mandatory for each new vehicle. The above has motivated the study of these two safety systems. Then, this research examines the ABS and ESC systems through a proposed diagnostic methodology, which identifies the main effect of these systems on the vehicle dynamics. To achieve this goal a software was developed, looking for processing the data acquired during the development of some specific vehicle maneuvers. The diagnostic results expose: 1) an indicator about the ABS/ESC systems performance; and 2) the impact of these systems on the vehicle dynamics; also, some of the results here obtained can also be taken as reference for the Brake Assistant System and the Anti-Roll Control analysis.

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“…Moaaz et al [1] verified the ABS performance of PID control on a single-wheel model. He et al [2], with a single-wheel model, proposed a model predictive control method for estimating the optimal slip ratio of an electric motor ABS for pure electric vehicles. The designed estimation method and the obtained MPC law are embedded into the vehicle control unit (VCU) for real vehicle validation.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Vehicle Antilock System Based on Adaptive Neural Network Sliding Mode Control

Li,

2024

Mathematical Problems in Engineering

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Vehicle antilock systems play a very important role in the stability and reliability during vehicle braking. Due to the complexity of the braking process, antilock braking system (ABS) usually face the problems such as nonlinearity, time-varying, and uncertain parameter modeling. Thus, aiming at the parameter model uncertainty problem of ABS, an adaptive neural network sliding mode controller (ADRBF-SMC) is designed in this paper. On this basis, establishing the quarter-vehicle model and the seven-degree-of-freedom vehicle model, and treating the difference between the two models as a kind of disturbance, carrying out vehicle braking performance simulation experiments to analyze the variation of braking performance parameters such as vehicle and wheel speeds, slip ratio, braking distance, braking torque, under the three cases of adaptive neural network sliding mode controller, traditional sliding mode controller, and no control. Simulation results show that the adaptive neural network sliding mode controller (ADRBF-SMC) proposed in this paper can play an effective control role in both vehicle dynamics models. In addition, the control method proposed in this paper has stronger anti-interference capability and higher robustness compared with the sliding mode controller (SMC).

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A Model Predictive Control Approach With Slip Ratio Estimation for Electric Motor Antilock Braking of Battery Electric Vehicle

Cited by 28 publications

References 29 publications

A model predictive control approach for angle tracking of steer‐by‐wire system with nonlinear transmission ratio

A model predictive control approach for angle tracking of steer‐by‐wire system with nonlinear transmission ratio

Diagnostic methodology for vehicles equipped with Antilock Braking System and Electronic Stability Control

A Study on the Vehicle Antilock System Based on Adaptive Neural Network Sliding Mode Control

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