Performance match experimental studies of an electronic-controlled natural gas engine

Guo Sheng Feng; You Tong Zhang; Jian Chun Li; Tie Shuan Li

Performance match experimental studies of an electronic-controlled natural gas engine

Guo Sheng Feng^*
, You Tong Zhang
, Jian Chun Li
, Tie Shuan Li

^*此作品的通讯作者

机械与车辆学院

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

By combining orthogonal test with neural network, the power model, economy model and emission model between the engine performance and operation parameter were established. The goal function, and restrain conditions based on these models and the feasibility of adopting genetic algorithm to optimize are presented. Power performance and exhaust emission experimental studies of a 913CNG electronic-controlled natural gas engine were carried out. Result of experiment shows that the power performance of natural gas engine reached the index of design, the exhaust emission met the needs of national standard.

源语言	英语
页（从-至）	56-58
页数	3
期刊	Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering
卷	26
期	4
出版状态	已出版 - 8月 2005

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引用此

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title = "Performance match experimental studies of an electronic-controlled natural gas engine",

abstract = "By combining orthogonal test with neural network, the power model, economy model and emission model between the engine performance and operation parameter were established. The goal function, and restrain conditions based on these models and the feasibility of adopting genetic algorithm to optimize are presented. Power performance and exhaust emission experimental studies of a 913CNG electronic-controlled natural gas engine were carried out. Result of experiment shows that the power performance of natural gas engine reached the index of design, the exhaust emission met the needs of national standard.",

keywords = "Electronic-controlled natural gas engine, Genetic algorithm, I.C. engine, Neural network, Performance match",

author = "Feng, \{Guo Sheng\} and Zhang, \{You Tong\} and Li, \{Jian Chun\} and Li, \{Tie Shuan\}",

year = "2005",

month = aug,

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AU - Feng, Guo Sheng

AU - Zhang, You Tong

AU - Li, Jian Chun

AU - Li, Tie Shuan

PY - 2005/8

Y1 - 2005/8

N2 - By combining orthogonal test with neural network, the power model, economy model and emission model between the engine performance and operation parameter were established. The goal function, and restrain conditions based on these models and the feasibility of adopting genetic algorithm to optimize are presented. Power performance and exhaust emission experimental studies of a 913CNG electronic-controlled natural gas engine were carried out. Result of experiment shows that the power performance of natural gas engine reached the index of design, the exhaust emission met the needs of national standard.

AB - By combining orthogonal test with neural network, the power model, economy model and emission model between the engine performance and operation parameter were established. The goal function, and restrain conditions based on these models and the feasibility of adopting genetic algorithm to optimize are presented. Power performance and exhaust emission experimental studies of a 913CNG electronic-controlled natural gas engine were carried out. Result of experiment shows that the power performance of natural gas engine reached the index of design, the exhaust emission met the needs of national standard.

KW - Electronic-controlled natural gas engine

KW - Genetic algorithm

KW - I.C. engine

KW - Neural network

KW - Performance match

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ER -

Performance match experimental studies of an electronic-controlled natural gas engine

摘要

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引用此