This study provides a detailed analysis of an optimal drivetrain configuration, based on multi-cycles, for a plug-in electric vehicle (EV). The investigation aims to identify the best EV configuration according to the required power and the transmissible traction torque. The study focuses on an EV with four different combinations of drive systems among in-wheel motors and differential ones. To find out the best EV drive system configuration, it is adopted an optimisation process by means of a genetic algorithm that defines the electric motors (EMs) torque curves and powertrain transmission ratio in order to improve vehicle travel range and performance. The vehicle power demand is divided between the drive systems following rules established by the power management control which aims to reduce the lithium-ion battery discharges during the driving cycles: FTP-75 (urban driving), HWFET (highway driving) and US06 (high speeds and accelerations). After the simulations, the potential of each configuration is indicated according to its respective drive system and hence the best configurations are determined.
Electric vehicle drivetrain optimisation
IET Electrical Systems in Transportation ; 7 , 1 ; 32-40
2017-03-01
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
FTP-75 , urban driving , in-wheel motors , drive systems , transmissible traction torque , highway driving , EM torque curves , genetic algorithms , lithium-ion battery discharges , EV drive system configuration , vehicle travel range , power transmission (mechanical) , driving cycles , motor drives , genetic algorithm , optimisation process , electric vehicles , plug-in EV , battery powered vehicles , powertrain transmission ratio , plug-in electric vehicle , HWFET , electric vehicle drivetrain optimisation , power management control , torque , vehicle power demand , US06
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