An Efficient GPS Algorithm for Maximizing Electric Vehicle Range

Although the main purpose of conventional geographical positioning systems (GPSs) is to determine either the fastest path or the shortest distance to a destination, this function may not be enough for electric vehicles (EVs). This is simply because the fastest/shortest path may consume relatively hi...

Full description

Saved in:
Bibliographic Details
Published in:Applied sciences 2024-06, Vol.14 (11), p.4858
Main Authors: Aboelsoud, Karim, Diab, Hatem Y, Abdelsalam, Mahmoud, Hegaze, Moutaz M
Format: Article
Language:English
Subjects:
Accuracy
Aerodynamics
Algorithms
Automobile industry
Automobiles, Electric
Batteries
Case studies
Cost control
electric vehicle model
Electric vehicles
Energy consumption
energy consumption calculation
Energy efficiency
energy management
Global Positioning System
Infrastructure
Market shares
Optimization techniques
optimum route planning
Roads & highways
Tolls
Traffic
wind speed
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Although the main purpose of conventional geographical positioning systems (GPSs) is to determine either the fastest path or the shortest distance to a destination, this function may not be enough for electric vehicles (EVs). This is simply because the fastest/shortest path may consume relatively higher energy when compared to other paths depending on the nature, speed limit, and topography of the road. This means that the driving range of the EV per charge decreases dramatically. This paper aims to develop a new algorithm and model dedicated for EV GPS which not only selects shortest/fastest routes, but also focuses on the most energy efficient route. This is achieved by considering many factors including aerodynamics, wind speed, topology of roads, with a clear objective of reducing the energy consumed from the battery. A MATLAB Simulink model is developed and validated with real-life case studies to ensure the results are realistic and accurate.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14114858