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Automated Evolutionary Design of a Hybrid-Electric Vehicle Power System Using Distributed Heterogeneous Optimization Purdue University

SAE Technical Papers (1906-current) Available online

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Format:
Conference/Event
Author/Creator:
Aliprantis, Dionysios C., author.
Conference Name:
Power Systems Conference (2006-11-07 : New Orleans, Louisiana, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2006
Summary:
The optimal design of hybrid-electric vehicle power systems poses a challenge to the system analyst, who is presented with a host of parameters to fine-tune, along with stringent performance criteria and multiple design objectives to meet. Herein, a methodology is presented to transform such a design task into a constrained multi-objective optimization problem, which is solved using a distributed evolutionary algorithm. A power system model representative of a series hybrid-electric vehicle is considered as a paradigm to support the illustration of the proposed methodology, with particular emphasis on the power system's time-domain performance
Notes:
Vendor supplied data
Publisher Number:
2006-01-3045
Access Restriction:
Restricted for use by site license

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