A New Control-Oriented Semi-Empirical Approach to Predict Engine-Out NOx Emissions in a Euro VI 3.0 L Diesel Engine
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- d’Ambrosio, Stefano & Finesso, Roberto & Fu, Lezhong & Mittica, Antonio & Spessa, Ezio, 2014. "A control-oriented real-time semi-empirical model for the prediction of NOx emissions in diesel engines," Applied Energy, Elsevier, vol. 130(C), pages 265-279.
- Roy, Sumit & Banerjee, Rahul & Bose, Probir Kumar, 2014. "Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network," Applied Energy, Elsevier, vol. 119(C), pages 330-340.
- Gyujin Kim & Sunyoung Moon & Seungha Lee & Kyoungdoug Min, 2017. "Numerical Analysis of the Combustion and Emission Characteristics of Diesel Engines with Multiple Injection Strategies Using a Modified 2-D Flamelet Model," Energies, MDPI, vol. 10(9), pages 1-17, August.
- Seungha Lee & Youngbok Lee & Gyujin Kim & Kyoungdoug Min, 2017. "Development of a Real-Time Virtual Nitric Oxide Sensor for Light-Duty Diesel Engines," Energies, MDPI, vol. 10(3), pages 1-21, March.
- Asprion, Jonas & Chinellato, Oscar & Guzzella, Lino, 2013. "A fast and accurate physics-based model for the NOx emissions of Diesel engines," Applied Energy, Elsevier, vol. 103(C), pages 221-233.
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- Bolu, Sencer & Ozgul, Emre & Epguzel, Emre & Gurel, Cetin, 2022. "Use of thermodynamic models for compression ratio and peak firing pressure optimization in heavy-duty diesel engine," Energy, Elsevier, vol. 248(C).
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