Combined power management/design optimization for a fuel cell/battery plug-in hybrid electric vehicle using multi-objective particle swarm optimization

In this paper, the combined power management/design optimization problem is investigated for a fuel cell/Liion battery PHEV. Formulated as a constrained multi-objective optimization problem (MOP), the combined optimization problem simultaneously minimizes the vehicle cost and fuel consumption subjec...

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Veröffentlicht in:	International journal of automotive technology Jg. 15; H. 4; S. 645 - 654
Hauptverfasser:	Geng, B., Mills, J. K., Sun, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Heidelberg The Korean Society of Automotive Engineers 01.06.2014 Springer Nature B.V
Schlagworte:	Algorithms Analysis Automobiles Automotive Engineering Constraints Control systems Design optimization Efficiency Electric power generation Electric vehicles Energy consumption Energy management Energy storage Engineering Fuel cell vehicles Fuel cells Hydrogen Investigations Matlab Optimization Optimization algorithms Ordinary differential equations Pareto optimality Pareto optimum Power management Powertrain Studies Multi-objective optimization Power management Particle swarm optimization Component sizing Fuel cell Plug-in hybrid electric vehicle
ISSN:	1229-9138, 1976-3832
Online-Zugang:	Volltext
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