Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm

Multi-objective Optimization for Hybrid Power System based on the Differential Evolution Algorithm

Considering the disadvantages of energy management multi- objectives optimization for hybrid electric vehicle（ HEV） which usually adopts weighted sum method,by using the Pareto optimum algorithm,based on non- dominated sorting method to deal with the fuel economy and emissions（ CO,NOxand HC） evaluat...

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Bibliographic Details
Main Authors: Deng Tao, Lin Chunsong, Li Ya’nan, Lu Renzhi
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Hybrid power;Multi-objective optimization;Non-dominated sorting;Adaptive differential evolution algorithm;Energy management
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.10.015

Internet

http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.10.015

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