Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings
Vehicle technology development to help reduce global energy consumption and prevent global warming has been the focus of attention. Therefore, engine development has focused on supporting energy-saving and low emissions policies. Yet, energy consumption in the transportation sector continues to incr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023002979 |
| _version_ | 1797802730362765312 |
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| author | Suroto Munahar Aris Triwiyatno Joga Dharma Setiawan M. Munadi |
| author_facet | Suroto Munahar Aris Triwiyatno Joga Dharma Setiawan M. Munadi |
| author_sort | Suroto Munahar |
| collection | DOAJ |
| description | Vehicle technology development to help reduce global energy consumption and prevent global warming has been the focus of attention. Therefore, engine development has focused on supporting energy-saving and low emissions policies. Yet, energy consumption in the transportation sector continues to increase, leading to studies on various efforts to realize energy-efficient vehicles. This process is carried out by adjusting the fuel management required to carry out an ideal combustion process and to fulfill the driver's needs. However, due to the influence of driving behavior in engine performance, adequate information is needed to use fuel management to choose the right control strategy. Therefore, this research provides a new design for fuel management clustering based on the lookup table mapping in accordance with the driving behavior profile, such as steering behavior, throttle valve opening, and braking. Fuel management cluster is designed to be monitored using Air to Fuel Ratio (AFR) cluster. The results showed that the output of the lookup table mapping system was in the form of AFR values and driving behavior, divided into two types, namely driving behavior with the normal scheme having an AFR of 14.67, fuel flow rate is 2.3 × 10−3 g/s and the economical scheme of 16.2, fuel flow rate is 2.1 × 10−3 g/s in 800 s period. Based on the simulation, it can be concluded that the clustering system provides an appropriate reference for control strategies because of driving behavior. In the driving behavior with the economical scheme, the control system can increase fuel saving. |
| first_indexed | 2024-03-13T05:11:08Z |
| format | Article |
| id | doaj.art-974003a1669845599d96d0b3e78fe5d5 |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-03-13T05:11:08Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-974003a1669845599d96d0b3e78fe5d52023-06-16T05:11:10ZengElsevierResults in Engineering2590-12302023-06-0118101170Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savingsSuroto Munahar0Aris Triwiyatno1Joga Dharma Setiawan2M. Munadi3Automotive Engineering Department, Engineering Faculty, University of Muhammadiyah, Magelang, Indonesia; Mechanical Engineering Department, Engineering Faculty, University of Diponegoro, Semarang, Indonesia; Corresponding author. Automotive Engineering Department, Engineering Faculty, University of Muhammadiyah, Magelang, Indonesia.Electronic Engineering Department, Engineering Faculty, University of Diponegoro, Semarang, IndonesiaMechanical Engineering Department, Engineering Faculty, University of Diponegoro, Semarang, IndonesiaMechanical Engineering Department, Engineering Faculty, University of Diponegoro, Semarang, IndonesiaVehicle technology development to help reduce global energy consumption and prevent global warming has been the focus of attention. Therefore, engine development has focused on supporting energy-saving and low emissions policies. Yet, energy consumption in the transportation sector continues to increase, leading to studies on various efforts to realize energy-efficient vehicles. This process is carried out by adjusting the fuel management required to carry out an ideal combustion process and to fulfill the driver's needs. However, due to the influence of driving behavior in engine performance, adequate information is needed to use fuel management to choose the right control strategy. Therefore, this research provides a new design for fuel management clustering based on the lookup table mapping in accordance with the driving behavior profile, such as steering behavior, throttle valve opening, and braking. Fuel management cluster is designed to be monitored using Air to Fuel Ratio (AFR) cluster. The results showed that the output of the lookup table mapping system was in the form of AFR values and driving behavior, divided into two types, namely driving behavior with the normal scheme having an AFR of 14.67, fuel flow rate is 2.3 × 10−3 g/s and the economical scheme of 16.2, fuel flow rate is 2.1 × 10−3 g/s in 800 s period. Based on the simulation, it can be concluded that the clustering system provides an appropriate reference for control strategies because of driving behavior. In the driving behavior with the economical scheme, the control system can increase fuel saving.http://www.sciencedirect.com/science/article/pii/S2590123023002979Fuel savingAFR clusteringLookup table mappingDriving behaviorFuel management cluster |
| spellingShingle | Suroto Munahar Aris Triwiyatno Joga Dharma Setiawan M. Munadi Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings Results in Engineering Fuel saving AFR clustering Lookup table mapping Driving behavior Fuel management cluster |
| title | Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings |
| title_full | Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings |
| title_fullStr | Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings |
| title_full_unstemmed | Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings |
| title_short | Assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings |
| title_sort | assessment of fuel management clusters in the development of a driving behavior control system model using lookup table mapping to improve fuel savings |
| topic | Fuel saving AFR clustering Lookup table mapping Driving behavior Fuel management cluster |
| url | http://www.sciencedirect.com/science/article/pii/S2590123023002979 |
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