FUEL-INJECTED MOTORCYCLE PERFORMANCE OPTIMIZATION UTILISING PERTALITE-ETHANOL BLENDS AND DEEP NEURAL NETWORK-BASED ECU FOR EFFICIENCY IMPROVEMENT AND EMISSION REDUCTION

This study aims to optimize the performance of fuel-injected motorcycles through the application of a Deep Neural Network (DNN) in the Electronic Control Unit (ECU) and the use of ethanol-pertalite fuel blends. The ethanol blends used in the study were 0%, 5%, 10%, 15%, and 20%. Fuel consumption tes...

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Bibliografische gegevens

Hoofdauteurs:	La Ode Ichlas Syahrullah Yunus, Farika Tono Putri, Rima Ruktiari Ismail
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	University of Brawijaya 2025-08-01
Reeks:	Rekayasa Mesin
Onderwerpen:	fuel-injected motorcycle ethanol-pertalite blend deep neural network ecu exhaust emissions fuel efficiency
Online toegang:	https://rekayasamesin.ub.ac.id/index.php/rm/article/view/1946
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