Using design of experiment and genetic algorithm to obtain the optimum gear shifting strategy for a real driving cycles

Aboud Ahmed*, Changlu Zhao, Kai Han, Fujun Zhang, Feng Wu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

8 引用 (Scopus)
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摘要

Design of Experiment statistical method and Genetic Algorithms based optimization method are used to obtain the optimum gear shifting strategy that driver can follow to provide best fuel consumption without affecting drivability characteristics of the vehicle according to certain driving cycle. The study is carried on a Mining Dump Truck YT3621 with 9 forward shifts manual transmission. Three loading conditions, no load, 20 ton and 40 ton have been discussed. The truck powertrain is modeled using GT-Drive, and DOE -Post processing tool of the GT-Suit is used for DOE analysis and Genetic Algorithm optimization. Six different real on road driving cycles are used to study the effect of gear shifting strategy on fuel consumption.

源语言英语
主期刊名Industrial Design and Mechanical Power
497-503
页数7
DOI
出版状态已出版 - 2012
活动2012 International Conference on Industrial Design and Mechanical Power, ICIDMP 2012 - Huangshan, 中国
期限: 10 7月 201211 7月 2012

出版系列

姓名Applied Mechanics and Materials
224
ISSN(印刷版)1660-9336
ISSN(电子版)1662-7482

会议

会议2012 International Conference on Industrial Design and Mechanical Power, ICIDMP 2012
国家/地区中国
Huangshan
时期10/07/1211/07/12

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引用此

Ahmed, A., Zhao, C., Han, K., Zhang, F., & Wu, F. (2012). Using design of experiment and genetic algorithm to obtain the optimum gear shifting strategy for a real driving cycles. 在 Industrial Design and Mechanical Power (页码 497-503). (Applied Mechanics and Materials; 卷 224). https://doi.org/10.4028/www.scientific.net/AMM.224.497