Using Electric Vehicle Driver’s Driving Mode for Trip Planning and Routing

Authors

DOI:

https://doi.org/10.5753/jisa.2024.3805

Keywords:

Driving range, Energy consumption estimation, Electric vehicles, Range prediction, Recommender architecture

Abstract

With the increasing adoption of electric vehicles worldwide, some limitations have emerged in their usage. The main limitations include low autonomy and a scarcity of charging points. In this work, we describe a software architecture for planning a stop at charging stations along a trip, by prediction of battery charge to be spent along the path. We describe the main components of this architecture and evaluate regression methods for the car consumption prediction module. We also use a real dataset built from an electric vehicle usage to validate the architecture concept and its viability analyzing multiple linear regression machine learning models. To further validate the architecture, we make comparisons between simulated and a real trips.

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Published

2024-09-22

How to Cite

dos-Reis, M., Frison, C. I., Teixeira, F. C., & Marques-Neto, H. (2024). Using Electric Vehicle Driver’s Driving Mode for Trip Planning and Routing. Journal of Internet Services and Applications, 15(1), 410–423. https://doi.org/10.5753/jisa.2024.3805

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Section

Research article