135 0

DEVELOPMENT OF EQUIVALENT FUEL CONSUMPTION MINIMIZATION STRATEGY FOR HYBRID ELECTRIC VEHICLES

Title
DEVELOPMENT OF EQUIVALENT FUEL CONSUMPTION MINIMIZATION STRATEGY FOR HYBRID ELECTRIC VEHICLES
Author
박장현
Keywords
Hybrid electric vehicle; Supervisory control; Equivalent factor; Parameter optimization; Genetic algorithm
Issue Date
2012-07
Publisher
Springer Science + Business Media
Citation
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2012, 13(5), P.835-843
Abstract
Power distribution between an internal combustion engine and electric motors is one of main features of hybrid electric vehicles that improves their fuel economy. An equivalent fuel consumption minimization strategy can instantaneously identify the optimal power distribution by converting the battery power into the equivalent fuel power and minimizing the overall fuel consumption. To guarantee the effectiveness of the strategy, it is essential to find the proper value of the conversion factor used to obtain the equivalent fuel power. However, finding the proper value is not a straightforward process because it is necessary to consider the overall power conversion efficiencies and battery charge sustaining strategy for the target driving cycle in advance. In this study, a model-based parameter optimization method is introduced to find the optimal conversion factor. A hybrid electric vehicle simulation model capable of estimating fuel consumption was developed, and the optimal conversion factor was discovered using a genetic algorithm that evaluates its population members using the simulation model. A series of simulations and vehicle tests was conducted to verify the effectiveness of the optimized strategy, and the results show a distinct improvement in fuel economy.
URI
https://link.springer.com/article/10.1007/s12239-012-0084-6http://hdl.handle.net/20.500.11754/66424
ISSN
1229-9138
DOI
10.1007/s12239-012-0084-6
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > AUTOMOTIVE ENGINEERING(미래자동차공학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE