Multi-objective parameter optimization of a series hybrid electric vehicle using evolutionary algorithms

Hybrid powertrain control strategy and component sizing significantly affect vehicle performance, fuel economy and emissions in hybrid vehicles. Recent research activities in this field show that component sizing and the control strategy are quite intertwined in such a way that concurrent optimizati...

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Bibliographic Details
Main Authors: Bingzhan Zhang, Zhihang Chen, Mi, C., Murphey, Y.L.
Format: Conference Proceeding
Language:English
Subjects:
Automotive engineering
Control Strategy
Design optimization
evolutional algorithms
Evolutionary computation
Fuel economy
Genetic algorithms
Hybrid Electric Vehicle
Hybrid electric vehicles
Mechanical power transmission
multi-objective Optimization
Optimization methods
Road vehicles
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Summary:Hybrid powertrain control strategy and component sizing significantly affect vehicle performance, fuel economy and emissions in hybrid vehicles. Recent research activities in this field show that component sizing and the control strategy are quite intertwined in such a way that concurrent optimization of component sizing and control strategy is warranted. In this paper, we study the total optimization problem in a series HEV and apply evolutionary algorithms to the optimization problem. We will show through experiments that the proposed optimization method has the capability of providing a set of trade-off optimal solutions among the fuel economy and various emissions.
ISSN:1938-8756
DOI:10.1109/VPPC.2009.5289749