Abstract :

Innovative Solutions Are Needed To Enhance The Overall Performance, Driving Range, And Energy Economy Of Electric Vehicles (EVs), As Their Usage Continues To Rise. Optimising Vehicle Speed For Improved Performance And Energy Saving Is The Goal Of This Research, Which Suggests A Neural Network-based Technique. A Trained Neural Network May Use Real-time Driving Data Like As Weather, Battery Life, Traffic Circumstances, And Driver Behaviour To Dynamically Forecast The Best Possible Speed Profiles. Supervised Learning Is Used To Build The Model, Which Is Then Tested Using Both Realworld Datasets And Simulated Driving Situations. There Was No Degradation In Travel Time Or Safety, And The Experimental Findings Show A Considerable Increase In Range And Energy Efficiency. This Study Lays The Groundwork For More Intelligent And Environmentally Friendly Transportation By Demonstrating The Power Of AI To Revolutionise Electric Vehicle Management Systems.

Published:

10-2-2015

Issue:

Vol. 15 No. 2 (2015)

Page Nos:

7-12

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite