Real-Time Emission Prediction with Detailed Chemistry under Transient Conditions for Hardware-in-the-Loop Simulations

Mario Picerno, Sung-Yong Lee, Michal Pasternak, Reddy Siddareddy, Tim Franken, Fabian Mauss and Jakob Andert
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Mario Picerno: Teaching and Research Area Mechatronics in Mobile Propulsion, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany
Sung-Yong Lee: Teaching and Research Area Mechatronics in Mobile Propulsion, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany
Michal Pasternak: Loge Polska Sp. z o.o., Waly Dwernickeigo 117/121, 42-200 Czestochowa, Poland
Reddy Siddareddy: Loge Polska Sp. z o.o., Waly Dwernickeigo 117/121, 42-200 Czestochowa, Poland
Tim Franken: Thermodynamics and Thermal Process Engineering, Brandenburg University of Technology, Siemens-Halske-Ring 8, 03046 Cottbus, Germany
Fabian Mauss: Thermodynamics and Thermal Process Engineering, Brandenburg University of Technology, Siemens-Halske-Ring 8, 03046 Cottbus, Germany
Jakob Andert: Teaching and Research Area Mechatronics in Mobile Propulsion, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany

Energies, 2021, vol. 15, issue 1, 1-21

Abstract: The increasing requirements to further reduce pollutant emissions, particularly with regard to the upcoming Euro 7 (EU7) legislation, cause further technical and economic challenges for the development of internal combustion engines. All the emission reduction technologies lead to an increasing complexity not only of the hardware, but also of the control functions to be deployed in engine control units (ECUs). Virtualization has become a necessity in the development process in order to be able to handle the increasing complexity. The virtual development and calibration of ECUs using hardware-in-the-loop (HiL) systems with accurate engine models is an effective method to achieve cost and quality targets. In particular, the selection of the best-practice engine model to fulfil accuracy and time targets is essential to success. In this context, this paper presents a physically- and chemically-based stochastic reactor model (SRM) with tabulated chemistry for the prediction of engine raw emissions for real-time (RT) applications. First, an efficient approach for a time-optimal parametrization of the models in steady-state conditions is developed. The co-simulation of both engine model domains is then established via a functional mock-up interface (FMI) and deployed to a simulation platform. Finally, the proposed RT platform demonstrates its prediction and extrapolation capabilities in transient driving scenarios. A comparative evaluation with engine test dynamometer and vehicle measurement data from worldwide harmonized light vehicles test cycle (WLTC) and real driving emissions (RDE) tests depicts the accuracy of the platform in terms of fuel consumption (within 4% deviation in the WLTC cycle) as well as NOx and soot emissions (both within 20%).

Keywords: hardware-in-the-loop; virtual calibration; diesel powertrain; tabulated chemistry (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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