Optimization of CNG Direct Injector Parameters using model-based calibration framework

Mohamad Hafidzul Rahman, Alias and Mohd Fadzil, Abdul Rahim and Rosli, Abu Bakar (2021) Optimization of CNG Direct Injector Parameters using model-based calibration framework. In: Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering, 730 (1). Springer, Singapore, pp. 917-929. ISBN 978-981-33-4596-6 (Print) 978-981-33-4597-3 (Online)

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Abstract

This paper presents an optimization study conducted based on a direct injector model running on compressed natural gas. The purpose of the study is to identify the optimal setup for the selected input parameters which deliver maximum injection quantity at the lowest solenoid current. The optimized injector input parameters were the injection pressure, injection duration, and input voltage. The optimization study was conducted using MATLAB’s Simulink, Model-Based Calibration (MBC) Toolbox and injector test rig. The optimization data is generated by a validated, zero-dimensional, first principle injector model. The optimize calibration results were implemented in the injector experiment for verification. It was found that the simulation result of the mass flow rate for baseline versus optimization shows an increment of 15.64%. In comparison, the experimental result for baseline versus optimization shows an increase of 35.79%. Additionally, a comparison between the baseline work for simulation versus experiment produced RMSE of 0.2467 while the optimization work for simulation versus the experiment provides an RMSE value of 0.1860.

Item Type:	Book Chapter
Uncontrolled Keywords:	Compressed natural gas; direct Injection; model-based calibration; optimization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Mechanical and Automotive Engineering Technology
Depositing User:	Miss. Ratna Wilis Haryati Mustapa
Date Deposited:	14 Sep 2021 06:59
Last Modified:	14 Sep 2021 06:59
URI:	http://umpir.ump.edu.my/id/eprint/32025
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