Development of Anti-lock Braking System (ABS)
for Vehicles Braking

Minh, Vu Trieu; Oamen, Godwin; Vassiljeva, Kristina; Leo, Teder

doi:10.1515/eng-2016-0078

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…In order to determine the unknown values of the cornering stiffness a constant cornering test is conducted. This consists of steady state driving with constant steering angle Last, the value of the slip is set to be positive when the driver is accelerating, and negative when braking according to Equation (22), such that both anti-lock braking system (ABS) and traction control (TC) systems are obtained. Given that no data on the tire characteristics are provided, the ideal slip value has been determined experimentally through a braking and acceleration test.…”

Section: Steering Behavior and Model Validationmentioning

confidence: 99%

Effect of Weight Distribution and Active Safety Systems on Electric Vehicle Performance

Gori,

Hendrix,

Das

et al. 2024

Sensors

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This paper describes control methods to improve electric vehicle performance in terms of handling, stability and cornering by adjusting the weight distribution and implementing control systems (e.g., wheel slip control, and yaw rate control). The vehicle is first simulated using the bicycle model to capture the dynamics. Then, a study on the effect of weight distribution on the driving behavior is conducted. The study is performed for three different weight configurations. Moreover, a yaw rate controller and a wheel slip controller are designed and implemented to improve the vehicle’s performance for cornering and longitudinal motion under the different loading conditions. The simulation through the bicycle model is compared to the experiments conducted on a rear-wheel driven radio-controlled (RC) electric vehicle. The paper shows how the wheel slip controller contributes to the stabilization of the vehicle, how the yaw rate controller reduces understeering, and how the location of the center of gravity (CoG) affects steering behavior. Lastly, an analysis of the combination of control systems for each weight transfer is conducted to determine the configuration with the highest performance regarding acceleration time, braking distance, and steering behavior.

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Section: Steering Behavior and Model Validationmentioning

confidence: 99%

Effect of Weight Distribution and Active Safety Systems on Electric Vehicle Performance

Gori,

Hendrix,

Das

et al. 2024

Sensors

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“…Several studies have proposed two different strategies to prevent wheel locking. The first method is slip-ratio-based [1][2][3][4][5][6][7] and the second is wheel-deceleration-based. 8,9 Minh et al 1 and Aparow et al 2 designed a PID control logic.…”

Section: Introductionmentioning

confidence: 99%

“…The first method is slip-ratio-based [1][2][3][4][5][6][7] and the second is wheel-deceleration-based. 8,9 Minh et al 1 and Aparow et al 2 designed a PID control logic. The controller minimized the difference between the slip ratio and 1 School of Mechanical Engineering, Seoul National University, Gwanakgu, Seoul, Korea desired value.…”

Section: Introductionmentioning

confidence: 99%

A control strategy for efficient slip ratio regulation of a pneumatic brake system for commercial vehicles

Kim

Kwon

Park³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper presents a control strategy for efficient slip ratio regulation of a pneumatic brake system for commercial vehicles. A model-based estimator for brake pressure estimation has been developed. The braking torque applied to the wheel has been computed using the estimated brake pressure for the control of the wheel slip both in braking and traction situations. The vehicle velocity and wheel slip ratio estimation algorithms have been designed using only wheel speed sensors. The proposed slip regulation algorithm has also been successfully implemented for the antilock braking system (ABS) and traction control system (TCS). In ABS, the slip ratio and wheel acceleration are stabilized by a limit cycle control of the braking pressure. The TCS has been implemented by combining engine torque control and pneumatic brake pressure control. The brake controller is based on the valve switched control that incorporates the wheel dynamics and valve on/off characteristics. The ABS and TCS algorithms are integrated into the slip regulation algorithm to reduce the computation load of an Electrical Control Unit (ECU). Four-wheel independent slip monitoring and slip ratio control algorithms have been implemented on the ECU, and their performance has been investigated via both computer simulations and vehicle tests. Both results show that the proposed algorithms enhance the acceleration and braking performance without vehicle acceleration information. Moreover, the proposed split-mu strategy has improved the lateral stability during braking, and the acceleration performance during accelerating on the split-mu road. It has been shown via vehicle tests that, compared to the reference commercial algorithm, the braking distance was reduced by more than 4% on the split-mu and low-mu roads, and the acceleration performance was improved by 7.9% on the split-mu road.

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“…Since its introduction, the braking system has undergone numerous improvements, one of them being the application of the ABS. The anti-lock braking system (ABS), which has been developed and implemented from the late 1970s, prevents the wheels from locking during braking of the vehicle, and thereby, allows the driver to maintain control over steering [1]. Although this vehicle safety system has been used for decades, it is constantly being improved using either conventional or intelligent control methods [2].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Vehicle Braking Distance Using a Fuzzy Controller

2020

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The paper presents the study of an anti-lock braking system (ABS) that has been complemented by a fuzzy controller. The fuzzy controller was used to improve the braking performance of the vehicle, particularly in critical situations, for example, when braking a vehicle on wet road. The controller for the ABS was designed in the MATLAB/Simulink program. The designed controller was simulated on a medium-size vehicle model. During testing, three braking systems were simulated on the vehicle model. We compared the performance of a braking system without an ABS, a system with a threshold-based conventional ABS, and a braking system with the proposed ABS with a fuzzy controller. These three braking systems were simulation tested during braking the vehicle on a dry straight road and on a road with combined road adhesion. A maneuverability test was conducted, where the vehicle had to avoid an obstacle while braking. The results of each test are provided at the end of the paper.

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Development of Anti-lock Braking System (ABS) for Vehicles Braking

Cited by 6 publications

References 6 publications

Effect of Weight Distribution and Active Safety Systems on Electric Vehicle Performance

Effect of Weight Distribution and Active Safety Systems on Electric Vehicle Performance

A control strategy for efficient slip ratio regulation of a pneumatic brake system for commercial vehicles

Optimization of Vehicle Braking Distance Using a Fuzzy Controller

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