Open Access

ARTICLE

Simulation and Experimental Design of Load Adaptive Braking System on Two Wheeler

Ramanjaneyulu Kolla^*, Vinayagasundaram Ganesh, Rajendran Sakthivel, Arumugam Kumar Boobalasenthilraj

Department of Automobile Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Pennalur, 602117, India

* Corresponding Author: Ramanjaneyulu Kolla. Email:

Computer Systems Science and Engineering 2023, 45(3), 3115-3134. https://doi.org/10.32604/csse.2023.033077

Received 07 June 2022; Accepted 12 July 2022; Issue published 21 December 2022

Abstract

The braking quality is considered the main execution of the adaptive control framework that impacts the vehicle safety and rides solace astoundingly notably the stopping distance. This research work aims to create a pattern and design of an electromechanically adjusted lever that multiplies the applied braking force depending on the inputs given by the sensors to reduce the stopping distance of the vehicle. It is carried out using two main parts of the two-wheeler vehicle: the first part deals with the detection of load acting on the vehicle and identifying the required braking force to be applied, and the second part deals with the microcontroller which activates the stepper motor for varying the mechanical leverage ratio from various loads on the vehicle using two actively movable wedges. The electromechanically operated variable braking force system is developed to actuate the braking system based on the load on the motorcycle. The MATLAB simulation and experimental work are carried out for various loading (driver and pillion) conditions on a two-wheeler. The results indicate that the proposed electronically operated braking system is more effective than the conventional braking system for various loads and vehicle speeds. Specifically, the stopping distance of the vehicle is decreased significantly by about 4.9% between the conventional braking system and the simulated proposed system. Further, the experimental results show that the stopping distance is condensed by about 4.1%. The validation between simulated and experimental results revealed a great deal with the least error percentage of about 0.8%.

---

Keywords

---