Anti-Lock Braking System

Authors

  • Anubhav Soni Assistant Professor, Department of Management, Sanskriti University, Mathura, Uttar Pradesh Author
  • Jitendra Assistant Professor, Department of Management, Sanskriti University, Mathura, Uttar Pradesh Author

Keywords:

Anti-Lock Braking System, ECU, Fuzzy Controller, Neural Network, Vehicle

Abstract

The Anti-Lock Braking System (ABS)  is one of the automotive industry safety functions. The  vehicle's braking difficulty is lessened while its strength  is boosted thanks to the installation of this safety system.  Anti-Lock Hydraulic Brake tyre efficiency is improved as  well since the roadway and the tyre are not eroded.  However, this strategy does not work effectively in areas  with bad road conditions. The latest advance known as  the electronic brake power distribution to overcome the  inconvenient automobile industry. "Electronic brake  power distribution" is productive irrespective of whether  street conditions such as frosty, watery, etc. are  unfavourable. It also reduces braking and improves  vehicle stability by incorporating utility in a control unit.  The ABS is used in vehicles to prevent wheel bolting and  slip after braking. The slip percentage shows the speed  and rotation of the vehicle. Mechanized systems that  suddenly require restrictions, rhythm braking that was  boiling by convenient drivers with an earlier brake system  are the subject of this investigation When the driver can  respond more quickly, it's easier to steer. Driving  assistance and distance limit spotting are provided by the  ABS, alternatively on free surfaces such as gravel or  snow secured asphalt, on illusive and dry surfaces. The  anti-lock braking system may completely enhance  braking distance even if vehicle control system is still  improved. 

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References

Minh VT, Oamen G, Vassiljeva K, Teder L. Development of Anti-lock Braking System (ABS) for Vehicles Braking. Open Eng. 2016;

Guo J, Jian X, Lin G. Performance evaluation of an anti lock braking system for electric vehicles with a fuzzy sliding mode controller. Energies. 2014;

Chen Q, Tian W, Chen W, Ahmed Q, Wu Y. Model-based fault diagnosis of an anti-lock braking system via structural analysis. Sensors (Switzerland). 2018;

El-Garhy AM, El-Sheikh GA, El-Saify MH. Fuzzy Life Extending Control of Anti-Lock Braking System. Ain Shams Eng J. 2013;

John S, Pedro JO. Hybrid feedback linearization slip control for anti-lock braking system. Acta Polytech Hungarica. 2013;

Radac MB, Precup RE. Data-driven model-free slip control of anti-lock braking systems using reinforcement Q learning. Neurocomputing. 2018;

Aksjonov A, Vodovozov V, Augsburg K, Petlenkov E. Design of Regenerative Anti-Lock Braking System Controller for 4 In-Wheel-Motor Drive Electric Vehicle with Road Surface Estimation. Int J Automot Technol. 2018;

Savitski D, Ivanov V, Augsburg K, Shyrokau B, Wragge Morley R, Pütz T, et al. The new paradigm of an anti-lock braking system for a full electric vehicle: Experimental investigation and benchmarking. Proc Inst Mech Eng Part D J Automob Eng. 2016;

Aghasizade S, Mirzaei M, Rafatnia S. Novel constrained control of active suspension system integrated with anti lock braking system based on 14-degree of freedom vehicle model. Proc Inst Mech Eng Part K J Multi-body Dyn. 2018;

Chen CP, Chiang MH. Mathematical simulations and analyses of proportional electro-hydraulic brakes and anti lock braking systems in motorcycles. High-Throughput. 2018;

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Published

2023-10-30

How to Cite

Anti-Lock Braking System . (2023). International Journal of Innovative Research in Engineering & Management, 9(1), 248–252. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/11279