Março 2021 vol. 8 num. 1 - XXVIII SIMPÓSIO INTERNACIONAL DE ENGENHARIA AUTOMOTIVA
Artigo completo - Open Access.
Automated engine calibration in vehicle to optimize emissions levels using machine learning
Automated engine calibration in vehicle to optimize emissions levels using machine learning
Esteves, Alexandre Tadeu Mencacci ; Kawamoto, Alexandre Massayuki ; Pelisser, André ; Carmelutti, David Gazitto ;
Artigo completo:
The growing concern with environmental impact is a major drive for the tighter emissions imposed on combustion engines. The compliance with those restrictions is pushing new hardware and software solutions that, nevertheless, increase system complexity le
Artigo completo:
The growing concern with environmental impact is a major drive for the tighter emissions imposed on combustion engines. The compliance with those restrictions is pushing new hardware and software solutions that, nevertheless, increase system complexity le
Palavras-chave: -,
Palavras-chave: -,
DOI: 10.5151/simea2021-PAP32
Referências bibliográficas
- [1] André Pelisser, Alexandre Kawamoto, Wilhelm Vatanabe, Victor Namba. “A Gaussian process model for tires in combined slip case” – SIMEA 2019. São Paulo.
- [2] C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning, the MIT Press, 2006, (Available at http://www.gaussianprocess.org/gpml/chapters/RW.pdf)
- [3] ETAS GmbH. INCA-FLOW Tutorial III - Measurement Data Analysis, 201
- [4] ETAS GmbH. ETAS ASCMO Static V5.2 - User’s Guide, 2018.
Como citar:
Esteves, Alexandre Tadeu Mencacci; Kawamoto, Alexandre Massayuki; Pelisser, André; Carmelutti, David Gazitto; "Automated engine calibration in vehicle to optimize emissions levels using machine learning", p. 107-120 . In: Anais do XXVIII SIMPÓSIO INTERNACIONAL DE ENGENHARIA AUTOMOTIVA.
São Paulo: Blucher,
2021.
ISSN 2357-7592,
DOI 10.5151/simea2021-PAP32
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