Gear shifting multi-objective optimization to improve vehicle performance, fuel consumption, and engine emissions

Gear shifting multi-objective optimization to improve vehicle performance, fuel consumption, and engine emissions

Jony Javorski Eckert, Fabio Mazzariol Santiciolli, Elvis Bertoti, Eduardo dos Santos Costa, Fernanda Cristina Corrêa, Ludmila Corrêa de Alkmin e Silva, Franco Giuseppe Dedini

ARTIGO

Inglês

In the present work, the Adaptive-Weight Genetic Algorithm was employed in order to determine the gear shifting strategies that allow an automobile to work in the best compromise among fuel consumption, engine emissions, and vehicle performance. For the assessment of each of the three objective...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES

Fechado

Gear shifting multi-objective optimization to improve vehicle performance, fuel consumption, and engine emissions

Jony Javorski Eckert, Fabio Mazzariol Santiciolli, Elvis Bertoti, Eduardo dos Santos Costa, Fernanda Cristina Corrêa, Ludmila Corrêa de Alkmin e Silva, Franco Giuseppe Dedini


										

Gear shifting multi-objective optimization to improve vehicle performance, fuel consumption, and engine emissions

Jony Javorski Eckert, Fabio Mazzariol Santiciolli, Elvis Bertoti, Eduardo dos Santos Costa, Fernanda Cristina Corrêa, Ludmila Corrêa de Alkmin e Silva, Franco Giuseppe Dedini

    Fontes

    Mechanics based design of structures and machines

    Vol. 46, no. 2 (Mar., 2018), p. 238-253