Concurrent Optimization for Parameters of Powertrain and Control System of Hybrid Electric Vehicle Based on Multi-Objective Genetic Algorithms

The optimizing design of hybrid electric vehicle (HEV) aims at improving fuel economy and decreasing emissions subject to the satisfaction of its drivability. The concurrent optimization for main parameters of powertrain components and control system is the key to implement this objective. However,...

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Veröffentlicht in:	2006 SICE-ICASE international joint conference : Busan, Korea, 18-21 October 2006 S. 2424 - 2429
Hauptverfasser:	Li-Cun Fang, Shi-Yin Qin
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2006
Schlagworte:	Automatic control Concurrent Optimization Constraint optimization Control systems Design automation Design optimization Fuel economy Genetic algorithms Hybrid electric vehicle(HEV) Hybrid electric vehicles Mechanical power transmission Multi-Objective genetic algorithms(MOGAs) Optimization methods
ISBN:	9788995003848, 8995003847
Online-Zugang:	Volltext
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