Model-based analysis of the mechanical subsystem of an air brake system

Sonawane, D. B.; Narayan, K.; Rao, V. Subba; Subramanian, Shankar C.

doi:10.1007/s12239-011-0081-1

Cited by 7 publications

(3 citation statements)

References 10 publications

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“…The coefficients of “Overloading of cargo” are all negative, thus, freight vehicles are more likely to be involved in a rear-end crash when overloaded. A reasonable explanation of this phenomenon is that overloading of freight vehicles tends to cause brake failure and increases braking distance [ 36 ], which in turn leads to rear-end collision with vehicles in front. Support for this interpretation can be found in crash information that shows that brake failure occurred in 11 of 13 “Overloading of cargo” rear-end crashes.…”

Section: Discussionmentioning

confidence: 99%

Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China

et al. 2016

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ObjectivesRoad traffic crashes that involve very high numbers of fatalities and injuries arouse public concern wherever they occur. In China, there are two categories of such crashes: a crash that results in 10–30 fatalities, 50–100 serious injuries or a total cost of 50–100 million RMB ($US8-16m) is a “serious road traffic crash” (SRTC), while a crash that is even more severe or costly is a “particularly serious road traffic crash” (PSRTC). The aim of this study is to identify the main factors affecting different types of these crashes (single-vehicle, head-on, rear-end and side impact) with the ultimate goal of informing prevention activities and policies.MethodsDetailed descriptions of the SRTCs and PSRTCs that occurred from 2007 to 2014 were collected from the database “In-depth Investigation and Analysis System for Major Road Traffic Crashes” (IIASMRTC), which is maintained by the Traffic Management Research Institute of the Ministry of Public Security of China (TMRI). 18 main risk factors, which were categorized into four areas (participant, vehicle, road and environment-related) were chosen as potential independent variables for the multinomial logistic regression analysis. Comparisons were made among the single-vehicle, head-on, rear-end and side impact crashes in terms of factors affecting crash occurrence.FindingsFive risk factors were significant for the six multinomial logistic regression models, which were location, vertical alignment, roadside safety rating, driver distraction and overloading of cargo. It was indicated that intersections were more likely to have side impact SRTCs and PSRTCs, especially with poor visibility at night. Overloaded freight vehicles were more likely to be involved in a rear-end crash than other freight vehicles. Driver distraction is an important risk factor for head-on crashes, while vertical alignment and roadside safety rating are positively associated with single-vehicle crashes.ConclusionBased on the findings, promising measures were proposed to prevent each type of SRTC and PSRTC, which governmental or regulatory agencies could employ to plan strategies to reduce SRTCs and PSRTCs and support lifesaving policies.

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Section: Discussionmentioning

confidence: 99%

Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China

et al. 2016

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“…Compressed air in the brake chamber generates a mechanical force that is transmitted to the brake shoes through the shoe roller and the S-Cam. The travel of the roller increases due to the wear of the brake linings and also due to the heat-related expansion of the brake drum as a consequence of braking operation [11] and [12]. Automatic slack adjusters, usually clearance-sensing, are used to compensate for this increase in roller travel because the force output from the brake chamber to the brake shoes decreases rapidly when the chamber stroke exceeds a certain limit.…”

Section: S-cam Foundation Brakementioning

confidence: 99%

Optimization of the Brake Factor for an S-Cam Foundation Brake using RSM

Sayim¹,

Zhang²

2016

SV-JME

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The brake factor (BF) scales the vehicle's braking force; therefore, the vehicle brake performance variation due to the foundation brake can be attributed to the BF variation. In this work, the BF reduction is considered in the design stage of an S-Cam foundation brake within dimensional properties in order to have stable, predictable and improved vehicle brake performance. First, brake lining wear types were defined and then actuation cam-roller position effects were formulated. Dimensional parameters were varied within certain design-possible ranges to quantify BF variation theoretically. The response surface method (RSM) was used to identify the BF-reduced combination of dimensions within theoretical results. In the meantime, a new testing procedure was introduced and then a new testbed was designed and built to validate relative improvement of BF experimentally without thermal effects on friction. It was investigated that a substantial improvement (22.93 %) on BF could be obtained if appropriate dimensions were selected in the design stage.

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“…These ubiquitous non-linearities place higher requirements on the pressure control of PEBS. In recent years, many significant works regarding PEBS non-linearity analysis and modelling are available [14][15][16][17][18][19][20] and based on these, many methods are proposed to achieve acceptable control performance subject to specific conditions [21][22][23][24]. However, few consider the self-contained non-linear characteristics of the system and controller computing capacity.…”

Section: Introductionmentioning

confidence: 99%

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

Zhao

Yang

2021

IET Intelligent Trans Sys

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Precise braking pressure control of a pneumatic electric braking system (PEBS) poses challenging non-linear control problems, since it can operate in several distinct discrete processes (the pressure increasing, holding and decreasing) by switching the on-off solenoid valves and the piston of relay valve moves irregularly. This article describes the development and experimental validation of a viable controller for an electronically controlled braking pressure based on the theory of model predictive control (MPC). The controller design consists of two parts. The non-linear characteristic is first studied to ensure the pressure response of PEBS when the opening time is 4-10 ms in a fixed period, followed by calculation and prediction of the optimal on-off time of inlet valve and release valve based on the current braking pressure to realize steady state. A logic rule is designed to ensure that the MPC controller and feedback control work coordinate to guarantee engineering reliability. A comprehensive system model is derived to help characterize system non-linearities and design the MPC predictive model. Simulations and experimental results are presented finally to show how the MPC and feedback control strategy can be successfully applied to solve the braking pressure control of a PEBS in a systematic way.

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Model-based analysis of the mechanical subsystem of an air brake system

Cited by 7 publications

References 10 publications

Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China

Differences in Factors Affecting Various Crash Types with High Numbers of Fatalities and Injuries in China

Optimization of the Brake Factor for an S-Cam Foundation Brake using RSM

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

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