Title :
Range extension control system for electric vehicle based on searching algorithm of optimal front and rear driving force distribution
Author :
Fujimoto, Hiroshi ; Egami, Sho ; Saito, Jun ; Handa, Kazunori
Author_Institution :
Univ. of Tokyo, Kashiwa, Japan
Abstract :
Electric vehicles have a disadvantage in that the cruising distance per charge is short. This paper proposes a range extension control system based on a searching algorithm of front and rear driving force distribution with total efficiency optimization. The proposed method maximizes the total efficiency considering the slip ratio and the losses in the motors and inverters. The effectiveness of the proposed method is verified by experiments using a plug-in hybrid electric vehicle. The mileage per charge can be extended by 18% by using the proposed method in a constant-speed test.
Keywords :
electric motors; hybrid electric vehicles; invertors; losses; optimal control; optimisation; constant-speed test; electric vehicle; inverter losses; mileage per charge; motor losses; optimal front driving force distribution; plug-in hybrid electric vehicle; range extension control system; rear driving force distribution; searching algorithm; total efficiency optimization; Electric vehicles; Wheels;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389204