This paper presents a dynamic brake force distribution (BFD) control strategy that allocates the brake force to each wheel based on the normal loads and coefficients of friction for a two-axle heavy commercial road vehicle (HCRV) for straightline braking. A three degree of freedom half car pitch model was used to calculate the dynamic load transfer on each wheel, which was corroborated using IPG TruckMaker. The Magic Formula tire model with load-dependent coefficients was utilized to obtain instantaneous coefficient of friction at all four tires. The BFD strategy was then compared with two static BFD strategies: one which employs a 50:50 BFD and another which employs a BFD corresponding to ideal BFD curve (I curve) for the fully laden vehicle between the front and rear wheels. The test cases for a comparative evaluation of the dynamic and static BFD strategies were generated from the IS 11852 standard. The dynamic BFD strategy was found to reduce braking distance in the range of 1 % to 27 % when compared to the static BFD strategies. Further, all the strategies resulted in stable braking with no wheel lock. © 2019 IEEE.

Shankar Coimbatore Subramanian

Department of Engineering Design

Brakes

Braking

Degrees of freedom (mechanics)

dynamic loads

Friction

Vehicle wheels

BRAKING DISTANCE

Coefficient of frictions

COEFFICIENTS OF FRICTION

Comparative evaluations

Control strategies

FORCE DISTRIBUTIONS

FORCE REGULATION

Three degree of freedoms

Commercial vehicles

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IIT Madras has been ranked as the top engineering institute in India for four years in a row by the National Institutional Ranking Framework of the MHRD

It currently offers undergraduate, postgraduate and research degrees across 16 disciplines in Engineering, Sciences, Humanities and Management. About 596 faculty belonging to science and engineering departments and centres of the Institute are engaged in teaching, research and industrial consultancy.

IIT Madras

Design of a Dynamic Brake Force Regulation Strategy for Heavy Commercial Road Vehicles

IEEE Region 10 Annual International Conference, Proceedings/TENCON

With increasing numbers of road vehicles and accident fatalities, it is imperative to equip vehicles with active safety systems that can assist drivers. The commonly used actuator in any such active safety system is the vehicle brake system and hence its accurate control becomes important. This paper presents a systematic procedure for modeling the pneumatic brake system in heavy road vehicles using a Linear Time Invariant (LTI) approximation and controlling it based on the developed model. The proposed modeling approach is based on frequency response in the system's frequency range of interest and time response of the system. The model thus obtained was then used to systematically design controllers for brake pressure regulation. The good correlation of theoretical and experimental results corroborated the overall procedure followed for modeling and controller design. Such a controller would serve as an inner loop controller in vehicle control systems like wheel slip regulation, thus improving the brake system performance and vehicle stability. © 2017 IEEE.

2017 14th IEEE India Council International Conference, INDICON 2017

Model Based Control of Heavy Road Vehicle Brakes for Active Safety Applications

An important aspect from the perspective of operational safety of heavy road vehicles is the detection and avoidance of collisions, particularly at high speeds. The development of a collision avoidance system is the overall focus of the research presented in this paper. The collision avoidance algorithm was developed using a sliding mode controller (SMC) and compared to one developed using linear full state feedback in terms of performance and controller effort. Important dynamic characteristics such as load transfer during braking, tyre-road interaction, dynamic brake force distribution and pneumatic brake system response were considered. The effect of aerodynamic drag on the controller performance was also studied. The developed control algorithms have been implemented on a Hardware-in-Loop experimental set-up equipped with the vehicle dynamic simulation software, IPG/TruckMaker®. The evaluation has been performed for realistic traffic scenarios with different loading and road conditions. The Hardware-in-Loop experimental results showed that the SMC and full state feedback controller were able to prevent the collision. However, when the discrepancies in the form of parametric variations were included, the SMC provided better results in terms of reduced stopping distance and lower controller effort compared to the full state feedback controller. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

Vehicle System Dynamics

Design and hardware-in-loop implementation of collision avoidance algorithms for heavy commercial road vehicles

SAE International Journal of Passenger Cars - Mechanical Systems

A New Torque Distribution Strategy for Blended Anti-Lock Braking Systems of Electric Vehicles Based on Road Conditions and Driver's Intentions

SAE Technical Paper Series

Study on Optimization of Regenerative Braking Control Strategy in Heavy-Duty Diesel Engine City Bus using Pneumatic Hybrid Technology

Braking Force Distribution and Coordinated Control Algorithm for Hybrid Electric Bus based on EBS

Journal	Data powered by TypesetIEEE Region 10 Annual International Conference, Proceedings/TENCON
Publisher	Data powered by TypesetInstitute of Electrical and Electronics Engineers Inc.
ISSN	21593442
Open Access	No