Study on braking stability of commercial vehicles: An optimized air brake system

He, Ren; Jing, Zhecheng

doi:10.1177/1687814019848593

Cited by 9 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gaiola et al [4] Model layout � Application: Agricultural tractor � Subsystems: Hydraulic power generation and transmission a � Goal: Increase energy efficiency (of hydraulic subsystem) � Implemented in Amesim Hydraulic power generation and transmission � Pump: Functional model with mapped efficiencies, as a function of speed, pressure and displacement setting � Flow/pressure compensators: Extended functional model: Valves broken down into elementary lumped-parameter components (mass, chambers, metring ports, etc.) to match the physical structure b � Electrovalve solenoid force defined as a function of supplied current He and Jing [6] Model layout � Application: Tractor-semitrailer commercial vehicle � Subsystems: Air brake system (semitrailer); vehicle; control a � Goal: Improve braking stability � Co-simulation: Amesim (air brake system) + Simulink (Control) + TruckSim (Vehicle)…”

Section: Conflict Of Interest Statementmentioning

confidence: 99%

“…Panetta et al [5] evaluated the influence of several design and control parameters on the dynamic behaviour of an agricultural tractor by integrating a full car model and the hydraulic model of the suspension system. He and Jing [6] applied a lumped parameter approach, to optimise an air brake system to improve the braking stability of tractor and semitrailer vehicles. Zheng et al [7] presented a dynamic model to analyse the vibrational characteristics of a wheeled tractor system with implement and front axle hydropneumatic suspension.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comprehensive lumped parameter and multibody approach for the dynamic simulation of agricultural tractors with tyre–soil interaction

Martelli

Chiarabelli

Gessi

et al. 2023

IET Cyber-Syst and Robotics

View full text Add to dashboard Cite

Modern agricultural tractors are complex systems, in which multiple physical (and technological) domains interact to reach a wide set of competing goals, including work operational performance and energy efficiency. This complexity translates to the dynamic, multi‐domain simulation models implemented to serve as digital twins, for rapid prototyping and effective pre‐tuning, prior to bench and on‐field testing. Consequently, a suitable simulation framework should have the capability to focus both on the vehicle as a whole and on individual subsystems. For each of the latter, multiple options should be available, with different levels of detail, to properly address the relevant phenomena, depending on the specific focus, for an optimal balance between accuracy and computation time. The methodology proposed here by the authors is based on the lumped parameter approach and integrates the models for the following subsystems in a modular context: internal combustion engine, hydromechanical transmission, vehicle body, and tyre–soil interaction. The model is completed by a load cycle module that generates stimulus time histories to reproduce the work load under real operating conditions. Traction capability is affected by vertical load on the wheels, which is even more relevant if the vehicle is travelling on an uncompacted soil and subject to a variable drawbar pull force as it is when ploughing. The vertical load is, in turn, heavily affected by vehicle dynamics, which can be accurately modelled via a full multibody implementation. The presented lumped parameter model is intended as a powerful simulation tool to evaluate tractor performance, both in terms of fuel consumption and traction dynamics, by considering the cascade phenomena from the wheel–ground interaction to the engine, passing through the dynamics of vehicle bodies and their mass transfer. Its capabilities and numerical results are presented for the simulation of a realistic ploughing operation.

show abstract

Section: Conflict Of Interest Statementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comprehensive lumped parameter and multibody approach for the dynamic simulation of agricultural tractors with tyre–soil interaction

Martelli

Chiarabelli

Gessi

et al. 2023

IET Cyber-Syst and Robotics

View full text Add to dashboard Cite

show abstract

“…In order to improve the braking stability of the tractor-trailer-train, He and Jing 1 designed a new pneumatic braking system, and proposed a strategy to control the difference between the actual braking torque and the target braking torque of the semi-trailer. The simulation results show that the improved scheme reduces the braking response time and improves the braking stability of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Tractor-trailer-train braking time sequence detection based on monocular vision

Zhang

Feng

Shan

et al. 2021

Advances in Mechanical Engineering

View full text Add to dashboard Cite

The tractor-trailer-train at the braking process prone to braking instability caused by asynchronous braking between the shafts. With respect to the lack of intelligent detection of Braking Time Sequence (BTS), a non-contact dynamic detection scheme of intelligent vehicle BTS is proposed. Based on the monocular vision principle, the edge markers of tractor-trailer train tires are identified, and the tire slip rate is solved. The noise reduction of the collected image is processed. The marker area is obtained by Blob analysis. This region at the image to be matched is identified by the template matching algorithm based on contour. The camera is calibrated by Zhang’s calibration method. In order to verify the effectiveness of the detection scheme, the real vehicle test was carried out. The test results show that the error of slip rate solution is below 4.2%.

show abstract

“…With the development of the automobile industry, automobile safety requirements have risen, especially the braking performance at high speeds [1][2][3]. The antilock braking system (ABS) is an active safety device that is used to control and adjust the braking torque to prevent the wheels from locking during braking, so that the vehicle makes maximum use of the ground adhesion to slow down and stop [4,5].…”

Section: Introductionmentioning

confidence: 99%

An Improved Nonlinear Predictive Control Strategy Enhanced by Fractional Order Extremum Seeking Control of the Antilock Braking System of a Vehicle

Ren

Yuan

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Extremum seeking control can search the optimal slip rate of the antilock braking system of a vehicle through a high-frequency sinusoidal excitation signal. However, because of the bandwidth limitation of the braking actuator, the search speed of the optimal slip rate decreases and the stability of the extremum seeking control system becomes worse. To search and control the optimal slip rate, an improved nonlinear predictive control strategy enhanced by fractional order extremum seeking control is proposed for the vehicle antilock braking system. First, the nonlinear dynamic model of the braking system is established. Then, nonlinear prediction control is designed with the prediction of the slip rate response based on the nonlinear model to achieve slip rate control. Using fractional order calculus, a fractional extremum seeking controller is proposed to search for the optimal slip rate. Nonlinear predictive control integrated with fractional extremum seeking control is proposed to achieve the function of vehicle antilock braking. Finally, the effectiveness of the proposed method is verified by simulating the vehicle antilock braking system under different road conditions. The result shows that by considering the actuator available bandwidth, the proposed fractional order extremum seeking control can improve the search speed of the optimal slip rate compared with traditional integer order extremum seeking control. The proposed integrated controller achieves wheel slip rate optimal control regardless of the road conditions. INDEX TERMS Extremum seeking control, fractional order, ABS, nonlinear predictive control, slip rate.

show abstract

Study on braking stability of commercial vehicles: An optimized air brake system

Cited by 9 publications

References 10 publications

Comprehensive lumped parameter and multibody approach for the dynamic simulation of agricultural tractors with tyre–soil interaction

Comprehensive lumped parameter and multibody approach for the dynamic simulation of agricultural tractors with tyre–soil interaction

Tractor-trailer-train braking time sequence detection based on monocular vision

An Improved Nonlinear Predictive Control Strategy Enhanced by Fractional Order Extremum Seeking Control of the Antilock Braking System of a Vehicle

Contact Info

Product

Resources

About