Co-Simulation of Multi-Domain Engine and its Integrated Control for Transient Driving Cycles

Picerno, Mario; Lee, Sung-Yong; Schaub, Joschka; Ehrly, Markus; Millo, Federico; Scassa, Mauro; Andert, Jakob

doi:10.1016/j.ifacol.2020.12.917

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…This is achieved by the extension of a conventional HiL platform to a closed-loop system simulation of the complete powertrain, as already described in several studies. A considerable number of HiL-based virtual calibration applications for light-duty vehicles in the field of diesel emission calibration have already been presented by Lee et al [29][30][31][32] and Picerno et al [33]. HiL-based applications for heavy-duty diesel engines are discussed by Riccio et al [34].…”

Section: Hil-based Virtual Calibration and Validationmentioning

confidence: 99%

Transferability Assessment of OBD-Related Calibration and Validation Activities from the Vehicle to HiL Applications

Dorscheidt,

Pischinger,

Bailly

et al. 2024

Applied Sciences

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With the Euro 7 pollutant emission legislation currently under discussion, advanced and more efficient exhaust aftertreatment systems are being developed. The technologies required for these are leading to an increase in the number of components and control systems requiring diagnoses strategies under the on-board diagnostics (OBD) legislation. With concurrent shorter development times and significant reductions in budgets allocated to conventional powertrain development, challenges in the field of OBD calibration and verification are already rising sharply. In response to these challenges, hardware-in-the-loop (HiL) approaches have been successfully introduced to support and replace conventional development methods. The use of complex simulation models significantly improves the quality of calibrations while minimizing the number of required prototype vehicles and test resources, thus reducing development costs. This paper presents a feasibility study for moving OBD-related calibration and validation tasks from the vehicle to a HiL platform. In this context, the calibration and verification process of an active diagnostic for monitoring the condition of the three-way catalyst (TWC) and the oxygen sensors in the exhaust aftertreatment system is presented. It is shown that all relevant signals are simulated with sufficient accuracy to ensure a robust transfer from the vehicle to a HiL test bench. Special attention is given to the simulation of aged components and their influence on the emission behavior of the system. Furthermore, it is discussed that transferring OBD tasks from the vehicle to the HiL test bench could result in significant savings in development time and a reduction in the number of physical prototype vehicles and test resources required.

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Section: Hil-based Virtual Calibration and Validationmentioning

confidence: 99%

Transferability Assessment of OBD-Related Calibration and Validation Activities from the Vehicle to HiL Applications

Dorscheidt,

Pischinger,

Bailly

et al. 2024

Applied Sciences

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show abstract

“…Further, the balance between accuracy and real-time (RT) capability of the models is crucial to ensure proper interactions with the hardware in the testing environment. In light of this, it is a clear necessity to select a proper powertrain modeling approach and the best-practice simulation tools in order to fulfil the desired level of accuracy and time targets in conjunction with the current project milestones [10,13].…”

Section: Challenges In Virtual Ecu Calibrationmentioning

confidence: 99%

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

Picerno

Lee

Pasternak³

et al. 2021

Energies

Self Cite

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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%).

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“…Most of these engines are four-stroke gasoline engines and large two-stroke diesel engines. 10,13–16…”

Section: Introductionmentioning

confidence: 99%

“…Most of these engines are four-stroke gasoline engines and large two-stroke diesel engines. 10,[13][14][15][16] The typical MVEM was proposed by Elbert Hendricks in 1990. 12 Since then, various MVEMs have been proposed, most of which are models for specific types of engine control systems.…”

Section: Introductionmentioning

confidence: 99%

Modeling of two-stroke aviation piston engines for control applications

Jiang

Zhou

et al. 2023

Advances in Mechanical Engineering

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Two-stroke Aviation Piston Engines are multivariable systems with severe non-linear dynamics, making their modeling challenging for control engineers. Although many studies have been conducted on simplified modeling of four-stroke gasoline engines and large-scale two-stroke diesel engines for automobiles and ships, only a few have focused on the general modeling of small two-stroke aviation engines. Thus, extensive research on a general modeling method for two-stroke aviation engines is required. A general non-linear Mean Value Engine Model (MVEM) of two-stroke aviation piston engines is developed. Various parts of the model are represented by appropriate empirical equations that require little engine data and easily fit different engines. The objective is to develop a general and accurate method for rapid engine modeling that captures the main dynamics and can create control systems for two-stroke aviation piston engines. The model is validated using HIRTH-3203 and NU-57 measurement data, and the results show that the issues of fitting simplicity and general applicability are well addressed. Finally, the air-fuel ratio control based on the model predictive control method is carried out on the HIRTH-3203 MVEM, which demonstrates the effectiveness of the proposed MVEM in the controller design and evaluation. The proposed model may support the application of new control technologies, such as adaptive control and intelligent control, in the two-stroke aviation piston engine systems.

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Co-Simulation of Multi-Domain Engine and its Integrated Control for Transient Driving Cycles

Cited by 9 publications

References 13 publications

Transferability Assessment of OBD-Related Calibration and Validation Activities from the Vehicle to HiL Applications

Transferability Assessment of OBD-Related Calibration and Validation Activities from the Vehicle to HiL Applications

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

Modeling of two-stroke aviation piston engines for control applications

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