Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine

Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine

Bibliographic Details
Main Author: Young, Ryan F.
Language:English
Published: Ohio University / OhioLINK 2010
Subjects:
Artificial Intelligence
Industrial Engineering
Systems Design
Transportation
Optimize Fuel Map
ANN
ECM
Internal Combustion Engine
O2 sensor
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1282143527
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ohiou12821435272021-08-03T05:46:45Z Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine Young, Ryan F. Artificial Intelligence Industrial Engineering Systems Design Transportation Optimize Fuel Map ANN ECM Internal Combustion Engine O2 sensor Fuel maps are utilized by the fuel injection system as a guide for accurate delivery of fuel under a specified load. A fuel map is determined by the manufacturer and usually not manipulated. This research involves exhaust gas oxygen data collection using an original equipment engine control module (ECM), artificial neural network (ANN) modeling, response surface generation that will act as the new fuel map, implementing the map into the ECM, and testing. ANN modeling is used first to predict volumetric efficiency (VE) values in the fuel map, then used to optimize the VE values based on the air to fuel ratio. The results are then compared with an alternative optimization technique and the original equipment fuel map. Optimization of the fuel map will provide physical performance, economic, and environmental gains. Applying this methodology would allow the fuel map to be updated using little expert knowledge. 2010-09-23 English text Ohio University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1282143527 http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1282143527 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Artificial Intelligence
Industrial Engineering
Systems Design
Transportation
Optimize Fuel Map
ANN
ECM
Internal Combustion Engine
O2 sensor
spellingShingle Artificial Intelligence
Industrial Engineering
Systems Design
Transportation
Optimize Fuel Map
ANN
ECM
Internal Combustion Engine
O2 sensor
Young, Ryan F.
Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine
author Young, Ryan F.
author_facet Young, Ryan F.
author_sort Young, Ryan F.
title Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine
title_short Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine
title_full Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine
title_fullStr Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine
title_full_unstemmed Utilization of a Neural Network to Improve Fuel Maps of an Air-Cooled Internal Combustion Engine
title_sort utilization of a neural network to improve fuel maps of an air-cooled internal combustion engine
publisher Ohio University / OhioLINK
publishDate 2010
url http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1282143527
work_keys_str_mv AT youngryanf utilizationofaneuralnetworktoimprovefuelmapsofanaircooledinternalcombustionengine
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