A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based approaches-Reference-Cited by-同舟云学术

A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based approaches

Published:2024-09 Issue: Volume:135 Page:108777
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Silva Fabrício Leonardo^ORCID,Eckert Jony J.^ORCID,Miranda Matheus H.R.^ORCID,da Silva Samuel Filgueira^ORCID,Silva Ludmila C.A.^ORCID,Dedini Franco Giuseppe^ORCID

Funder

CNPq

BAIF Development Research Foundation

FAPESP

FUNDEP

Publisher

Elsevier BV

Reference92 articles.

1. Fuel saving and lower pollutants emissions using an ethanol-fueled engine in a hydraulic hybrid passengers vehicle;Barbosa;Energy,2021

2. Gear shifting optimization applied to a flex-fuel vehicle under real driving conditions;Barbosa;Mech. Based Des. Struct. Mach.,2022

3. Experimental enhancement of fuzzy fractional order pi+i controller of grid connected variable speed wind energy conversion system;Beddar;Energy Convers. Manage.,2016

4. Experimental validation of fuzzy PID control of flexible joint system in presence of uncertainties;Bilal,2017

5. Energy management of a parallel hybrid electric vehicle using model predictive static programming;Biswas;Energy,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive optimization of fuzzy logic-based energy management system for fuel-cell hybrid electric vehicle using genetic algorithm;International Journal of Hydrogen Energy;2024-09