A Novel Approach to Test Cycle-Based Engine Calibration Technique Using Genetic Algorithms to Meet Future Emissions Standards

Heavy-duty (HD) diesel engines are the primary propulsion systems in use within the transportation sector and are subjected to stringent oxides of nitrogen (NOx) and particulate matter (PM) emission regulations. The objective of this study is to develop a robust calibration technique to optimize HD...

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Veröffentlicht in:	SAE International journal of engines 2020-01, Vol.13 (4), p.559-582, Article 03-13-04-0036
Hauptverfasser:	Thiruvengadam, Pragalath, Thiruvengadam, Arvind, Ryskamp, Ross, Besch, Marc, Perhinschi, Mario, Demirgok, Berk, Carder, Daniel, Gautam, Mridul
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Automotive emissions Calibration Certification Certification testing Design of experiments Diesel engines Emission analysis Emission standards Engine calibration Genetic algorithms Heavy-duty diesel engine Neural networks Nitrogen oxides Particulate emissions Propulsion systems Regulated emissions Technology assessment Transient cycles Transportation industry
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