Control system for electric vehicles' energy use in urban routes
A critical issue for the electric vehicle industry is the driving range. Driver attitude and driving conditions lower the set up autonomy by car manufacturers, resulting in complaining from unsatisfied car owners due to reduction in driving range. In this paper, the authors develop a method to maximise electric vehicle driving range by controlling driving conditions and drivers' attitudes. The methodology predicts the maximum autonomy with high accuracy based on the energy consumption of the electric vehicle. The method uses a computational simulation process based on the driver's selection of specific parameters to calculate the energy consumption. The control system blocks the electric vehicle starting up and avoids changes in driving conditions during the running if selected driving conditions are non-compatible with the battery state of charge (SOC). As a result sudden stop due to battery exhaustion is prevented, warrantying the fulfillment of the selected route.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/17456436
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Supplemental Notes:
- Copyright © 2024 Inderscience Enterprises Ltd.
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Authors:
- Armenta-Déu, Carlos
- Alonso, Alejandro
- Publication Date: 2024
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 134-151
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Serial:
- International Journal of Vehicle Systems Modelling and Testing
- Volume: 18
- Issue Number: 2
- Publisher: Inderscience Enterprises Limited
- ISSN: 1745-6436
- EISSN: 1745-6444
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVSMT
Subject/Index Terms
- TRT Terms: Attitudes; Control systems; Electric vehicle charging; Electric vehicles; Routes and routing; Vehicle range
- Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01931505
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 20 2024 4:24PM