Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions
This paper explores the integration and advancements of artificial neural networks (ANNs) in modeling diesel engine performance, particularly focusing on biodiesel-fueled engines. ANNs have emerged as a vital tool in predicting and optimizing engine parameters, contributing to the enhancement of fue...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/2/438 |
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| _version_ | 1832588573197467648 |
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| author | Ramozon Khujamberdiev Haeng Muk Cho |
| author_facet | Ramozon Khujamberdiev Haeng Muk Cho |
| author_sort | Ramozon Khujamberdiev |
| collection | DOAJ |
| description | This paper explores the integration and advancements of artificial neural networks (ANNs) in modeling diesel engine performance, particularly focusing on biodiesel-fueled engines. ANNs have emerged as a vital tool in predicting and optimizing engine parameters, contributing to the enhancement of fuel efficiency and a reduction in emissions. The novelty of this review lies in its critical analysis of the existing literature on ANN applications in biodiesel engines, identifying gaps in optimization and emission control. While ANNs have shown promise in predicting engine parameters, fuel efficiency, and emission reduction, this paper highlights their limitations and areas for improvement, especially in the context of biodiesel-fueled engines. The integration of ANNs with big data and sophisticated algorithms paves the way for more accurate and reliable engine modeling, essential for advancing sustainable and eco-friendly automotive technologies. This research underscores the growing importance of ANNs in optimizing biodiesel-fueled diesel engines, aligning with global efforts towards cleaner and more sustainable energy solutions. |
| format | Article |
| id | doaj-art-b1376dc83c184c5baec547a38ead464b |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-b1376dc83c184c5baec547a38ead464b2025-01-24T13:31:29ZengMDPI AGEnergies1996-10732025-01-0118243810.3390/en18020438Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and EmissionsRamozon Khujamberdiev0Haeng Muk Cho1Department of Mechanical Engineering, Kongju National University, Cheonan 31080, Republic of KoreaDepartment of Mechanical Engineering, Kongju National University, Cheonan 31080, Republic of KoreaThis paper explores the integration and advancements of artificial neural networks (ANNs) in modeling diesel engine performance, particularly focusing on biodiesel-fueled engines. ANNs have emerged as a vital tool in predicting and optimizing engine parameters, contributing to the enhancement of fuel efficiency and a reduction in emissions. The novelty of this review lies in its critical analysis of the existing literature on ANN applications in biodiesel engines, identifying gaps in optimization and emission control. While ANNs have shown promise in predicting engine parameters, fuel efficiency, and emission reduction, this paper highlights their limitations and areas for improvement, especially in the context of biodiesel-fueled engines. The integration of ANNs with big data and sophisticated algorithms paves the way for more accurate and reliable engine modeling, essential for advancing sustainable and eco-friendly automotive technologies. This research underscores the growing importance of ANNs in optimizing biodiesel-fueled diesel engines, aligning with global efforts towards cleaner and more sustainable energy solutions.https://www.mdpi.com/1996-1073/18/2/438biofuelartificial neural networksCI engineexhaust emissionsengine performance |
| spellingShingle | Ramozon Khujamberdiev Haeng Muk Cho Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions Energies biofuel artificial neural networks CI engine exhaust emissions engine performance |
| title | Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions |
| title_full | Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions |
| title_fullStr | Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions |
| title_full_unstemmed | Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions |
| title_short | Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions |
| title_sort | artificial intelligence in automotives anns impact on biodiesel engine performance and emissions |
| topic | biofuel artificial neural networks CI engine exhaust emissions engine performance |
| url | https://www.mdpi.com/1996-1073/18/2/438 |
| work_keys_str_mv | AT ramozonkhujamberdiev artificialintelligenceinautomotivesannsimpactonbiodieselengineperformanceandemissions AT haengmukcho artificialintelligenceinautomotivesannsimpactonbiodieselengineperformanceandemissions |