Artificial Intelligence Based Brake Blended System for Electric Vehicle
Publication Year: 2022
Author(s): Narendra PL
Abstract:
The primary objective of this work was to develop an intelligent braking system that will monitor the state of the driver’s behaviour and acts accordingly. It consists of four modules such as obstacle detection of vehicle, driver’s drowsiness detection, driver’s alcohol detection, and heart beat detection. The second objective concentrates on development of contactless brake blending system in order to reduce the wear particles coming out from disc brake system as well as quick response. Validation of experimental model results would be evidenced for the correctness in design and function. The proposed inventive solution to the problems of the quiet running nature of electric vehicles as well as rising road accidents has a promising potential to enhance global road safety and human health.
URL:
http://hdl.handle.net/10603/439969
Theme: Research and Development | Subtheme: Soft research/Academic Research
Related Documents
Research Papers/Articles
Literature vs. Twitter: Empirical Insights on Customer Needs in E-Mobility
Published Year: 2019
Abstract:
Knowledge about existing user preferences and requirements with regard to electric vehicles is... Read More
Research Papers/Articles
Promoting E-Mobility in India: Challenges, Framework, and Future Roadmap
Published Year: 2018
Abstract:
The aim of the study is to identify the critical challenges hindering e-mobility adoption in I... Read More
Research Papers/Articles
Abstract:
Air pollution is now one of the most important topics that have gained a great deal of attenti... Read More