DocumentCode :
1891116
Title :
A novel eco-driving application to reduce energy consumption of electric vehicles
Author :
Frank, Raphael ; Castignani, German ; Schmitz, R. ; Engel, Thomas
Author_Institution :
Interdiscipl. Centre for Security, Reliability & Trust, Univ. of Luxembourg, Luxembourg, Luxembourg
fYear :
2013
fDate :
2-6 Dec. 2013
Firstpage :
283
Lastpage :
288
Abstract :
Electro-mobility is becoming increasingly important in nowadays transportation systems. However, due to the limited range of electric vehicles, drivers need to adopt an energy-efficient driving attitude. In this paper, we present a novel eco-driving application that informs the driver about his energy efficiency. We implement an Android application that is able to gather relevant data from the vehicle´s CAN bus using an OBD Bluetooth adapter. We evaluate the retrieved data together with topographic information retrieved from the Internet in order to provide the driver with a representative eco-score based on a Fuzzy-System. In order to validate our approach, an experimental evaluation is proposed for different drivers in a predefined path. The results show that the computed eco-score accurately reflects driving efficiency. Further, we show that eco-driving concepts can significantly reduce the overall energy consumption and thus extend the electric vehicle´s range.
Keywords :
Bluetooth; Internet; electric vehicles; energy conservation; energy consumption; environmental factors; fuzzy systems; transportation; Android application; Internet; OBD Bluetooth adapter; eco-driving application; electric vehicles; electro-mobility; energy consumption; energy consumption reduction; energy efficiency; energy-efficient driving attitude; fuzzy system; topographic information; transportation systems; vehicle CAN; Batteries; Energy consumption; Fuzzy systems; Input variables; Power demand; Roads; Vehicles; Electro-mobility; Energy-efficient Driving; Experimentation; Fuzzy Logic; Mobile Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICCVE.2013.6799807
Filename :
6799807
Link To Document :
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