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

^*Corresponding author for this work

School of Mechanical Engineering

Shijiazhuang Tiedao University
Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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.

Original language	English
Pages (from-to)	56-58
Number of pages	3
Journal	Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering
Volume	26
Issue number	4
Publication status	Published - Aug 2005

Keywords

Electronic-controlled natural gas engine
Genetic algorithm
I.C. engine
Neural network
Performance match

Cite this

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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,

language = "English",

volume = "26",

pages = "56--58",

journal = "Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering",

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publisher = "Chinese Society for Internal Combustion Engines",

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T1 - Performance match experimental studies of an electronic-controlled natural gas engine

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

UR - https://www.scopus.com/pages/publications/24044543566

M3 - Article

AN - SCOPUS:24044543566

SN - 1000-0925

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JO - Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering

JF - Neiranji Gongcheng/Chinese Internal Combustion Engine Engineering

IS - 4

ER -

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

Abstract

Keywords

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