Title :
Range prediction for electric vehicles: Real-time payload detection by tire pressure monitoring
Author :
Fechtner, Heiko ; Teschner, Thomas ; Schmuelling, Benedikt
Author_Institution :
E-Mobility Res. Group, Univ. of Wuppertal, Wuppertal, Germany
fDate :
June 28 2015-July 1 2015
Abstract :
E-Mobility is facing a lot of obstacles nowadays, as for example the limits in the operating distance or the price difference between electric vehicles and vehicles with an internal combustion engine. This prevents many people from buying electric cars. Therefore, this paper presents a system to determine the payload of electric vehicles by measuring the tire pressure respectively the change of the tire pressure. The result of the measurement allows in combination with a range calculator a more detailed range prediction for automobiles (particularly for electric vehicles). The goal of this study is among others the reduction of the range anxiety of electric vehicle drivers.
Keywords :
automobiles; electric vehicles; tyres; automobile; e-mobility; electric car; electric vehicle; electric vehicle driver range anxiety reduction; internal combustion engine; range calculator; range prediction; real-time payload detection; tire pressure monitoring; Energy consumption; Mathematical model; Payloads; Tire pressure; Vehicles;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2015 IEEE
Conference_Location :
Seoul
DOI :
10.1109/IVS.2015.7225777