Title :
Methodology hybridization of a vehicle
Author_Institution :
Grenoble Electr. Eng. Lab. (G2Elab), INP-UJF, St. Martin d´Hères, France
Abstract :
This paper proposes a program which defines the least costly vehicle following a driving cycle. An exhaustive research is making by the algorithm for find the optimal configuration of the car between the size of the batteries and the powers of the electrical machine and the heat engine. Cost during the life duration and performances are calculated for each configuration in order to determine optimal hybridization rate. The proposed method helps engineers to have a better sense of hybridization rate during design process of a hybrid, plug-in hybrid or full electric vehicle.
Keywords :
automobiles; electric machines; heat engines; hybrid electric vehicles; car optimal configuration; electrical machine; heat engine; optimal hybridization rate; plug-in hybrid electric vehicle; Heating; MATLAB; Torque; Cost; Design Process; Driving Cycle; Hybrid Vehicle; Hybridization Rate; Optimal Configuration;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2015 IEEE
Conference_Location :
Dearborn, MI
DOI :
10.1109/ITEC.2015.7165760