DocumentCode :
574247
Title :
On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor
Author :
Razavian, R. ; Azad, Nasser L. ; McPhee, John
Author_Institution :
Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
fYear :
2012
fDate :
27-29 June 2012
Firstpage :
547
Lastpage :
552
Abstract :
To design a supervisory plan for a Hybrid Electric Vehicle (HEV), different methods are presented in the literature. In many of these controllers, there are a few parameters that must be tuned according to future driving conditions. To address this issue, a novel feedback controller is introduced in this paper that serves as the supervisory plan of a series HEV, and does not require the exact knowledge of the drive cycle. To find this controller, first a mathematical model of the hybrid drivetrain is developed, then Pontryagin´s Minimum Principle is applied assuming that the drive cycle is known in advance. Based on the mechanism of the optimal control, a set of mathematical rules is extracted, and an optimal feedback controller is designed. It is also shown that a priori knowledge of the future drive cycle is not required; it is possible to tune the controller parameters, knowing only the cruise time and the available negative energy during braking.
Keywords :
hybrid electric vehicles; mathematical analysis; optimal control; Pontryagin Minimum Principle; braking; controllers; drive cycle; hybrid drivetrain; mathematical model; mathematical rules; negative energy; optimal feedback controller; real-time optimal control; series HEV; series hybrid electric vehicle; supervisory plan; ultra-capacitor; Engines; Fuels; Hybrid electric vehicles; Integrated circuit modeling; Mathematical model; Optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
ISSN :
0743-1619
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2012.6314831
Filename :
6314831
Link To Document :
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