An Efficient GPS Algorithm for Maximizing Electric Vehicle Range

Author:

Aboelsoud Karim1,Diab Hatem Y.1,Abdelsalam Mahmoud1,Hegaze Moutaz M.2

Affiliation:

1. Department of Electrical Energy Engineering, Collage of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Smart Village Campus, Giza 12577, Egypt

2. Basic and Applied Science Department, Collage of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Smart Village Campus, Giza 12577, Egypt

Abstract

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.

Publisher

MDPI AG

Reference49 articles.

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2. Naam, R. (2018). The Clean Energy Revolution: Fighting Climate Change with Innovation, Stanford University Press.

3. International Council on Clean Transportation (ICCT) (2022). Policy Update: Electric Vehicle Incentives, ICCT.

4. BloombergNEF (BNEF) (2022). BNEF Electric Vehicle Outlook 2022, BloombergNEF.

5. Union of Concerned Scientists (UCS) (2015). Cleaner Cars from Cradle to Grave: How Electric Cars Beat Gasoline Cars in Lifetime Global Warming Emissions, UCS.

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