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A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System
The fuel injection system is one of the key components of an in-cylinder direct injection engine. Its performance directly affects the economy, power and emission of the engine. Previous research found that the Taguchi method can be used to optimize the fuel injection map and operation parameters of...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749755/ https://www.ncbi.nlm.nih.gov/pubmed/35009821 http://dx.doi.org/10.3390/s22010277 |
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author | Tsai, Wen-Chang |
author_facet | Tsai, Wen-Chang |
author_sort | Tsai, Wen-Chang |
collection | PubMed |
description | The fuel injection system is one of the key components of an in-cylinder direct injection engine. Its performance directly affects the economy, power and emission of the engine. Previous research found that the Taguchi method can be used to optimize the fuel injection map and operation parameters of the injection system. The electronic control injector was able to steadily control the operation performance of a high-pressure fuel injection system, but its control was not accurate enough. This paper conducts an experimental analysis for the fuel injection quantity of DI injectors using the Taguchi-Regression approach, and provides a decision-making analysis to improve the design of electronic elements for the driving circuit. In order to develop a more stable and energy-saving driver, a functional experiment was carried out. The hybrid Taguchi-regression algorithm for injection quantity of a direct injection injector was examined to verify the feasibility of the proposed algorithm. This paper also introduces the development of a high-pressure fuel injection system and provides a new theoretical basis for optimizing the performance of an in-cylinder gasoline direct injection engine. Finally, a simulation study for the fuel injection control system was carried out under the environment of MATLAB/Simulink to validate the theoretical concepts. |
format | Online Article Text |
id | pubmed-8749755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87497552022-01-12 A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System Tsai, Wen-Chang Sensors (Basel) Article The fuel injection system is one of the key components of an in-cylinder direct injection engine. Its performance directly affects the economy, power and emission of the engine. Previous research found that the Taguchi method can be used to optimize the fuel injection map and operation parameters of the injection system. The electronic control injector was able to steadily control the operation performance of a high-pressure fuel injection system, but its control was not accurate enough. This paper conducts an experimental analysis for the fuel injection quantity of DI injectors using the Taguchi-Regression approach, and provides a decision-making analysis to improve the design of electronic elements for the driving circuit. In order to develop a more stable and energy-saving driver, a functional experiment was carried out. The hybrid Taguchi-regression algorithm for injection quantity of a direct injection injector was examined to verify the feasibility of the proposed algorithm. This paper also introduces the development of a high-pressure fuel injection system and provides a new theoretical basis for optimizing the performance of an in-cylinder gasoline direct injection engine. Finally, a simulation study for the fuel injection control system was carried out under the environment of MATLAB/Simulink to validate the theoretical concepts. MDPI 2021-12-30 /pmc/articles/PMC8749755/ /pubmed/35009821 http://dx.doi.org/10.3390/s22010277 Text en © 2021 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tsai, Wen-Chang A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System |
title | A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System |
title_full | A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System |
title_fullStr | A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System |
title_full_unstemmed | A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System |
title_short | A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System |
title_sort | hybrid taguchi-regression algorithm for a fuel injection control system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749755/ https://www.ncbi.nlm.nih.gov/pubmed/35009821 http://dx.doi.org/10.3390/s22010277 |
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