X-in-the-Loop-basierte Kalibrierung: HiL Simulation eines virtuellen Dieselantriebsstrangs

Lee, Sung-Yong; Andert, Jakob; Quérel, Carole; Schaub, Joschka; Kötter, Matthias; Politsch, Davy; Hadj-amor, Hassen

doi:10.1007/978-3-658-20828-8_4

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…It can easily be adapted to different layouts by deleting the HW components that are not required for the application. 19 Within the study, the model is set up in order to reproduce the application in Table 2, as depicted in Figure 1.…”

Section: Simulation Setup and Boundary Conditionsmentioning

confidence: 99%

“…Further validation and use examples of the above-mentioned model are also given in the literature. 16,19…”

Section: Simulation Setup and Boundary Conditionsmentioning

confidence: 99%

“…The HiL environment considers the physic part of the mean value engine model and a state-of-the-art ECU for the control of the engine actuators. 19…”

Section: Simulation Setup and Boundary Conditionsmentioning

confidence: 99%

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Smart rule-based diesel engine control strategies by means of predictive driving information

Vagnoni

Eisenbarth

Andert

et al. 2019

International Journal of Engine Research

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The increasing connectivity of future vehicles allows the prediction of the powertrain operational profiles. This technology will improve the transient control of the engine and its exhaust gas aftertreatment systems. This article describes the development of a rule-based algorithm for the air path control, which uses the knowledge of upcoming driving events to reduce especially [Formula: see text] and particulate (soot) emissions. In the first section of this article, the boosting and the lean [Formula: see text] trap systems of a diesel powertrain are investigated as relevant sub-systems for shorter prediction horizons, suitable for Car-to-X communication range. Reference control strategies, based on state-of-the-art engine control unit algorithms and suitable predictive control logics, are compared for the two sub-systems in a model in the loop simulation environment. The simulation driving cycles are based on Worldwide harmonized Light-duty Test Cycle and Real Driving Emissions regulations. Due to the shorter, and consequently more probable, prediction horizon and the demonstrated emission improvements, a dedicated rule-based algorithm for the air path control is developed and benchmarked in the Worldwide harmonized Light-duty Test Cycle as described in the second part of this article. Worldwide harmonized Light-duty Test Cycle test results show an improvement potential for engine-out soot and [Formula: see text] emissions of up to 5.2% and 1.2%, respectively, for the air path case and a reduction of the average fuel consumption in Real Driving Emissions of up to 1% for the lean NOx trap case. In addition, the developed rule-based algorithm allows the adjustment of the desired NOx–soot trade-off, while keeping the fuel consumption constant. The study concludes with brief recommendations for future research directions, as for example, the introduction of a prediction module for the estimation of the vehicle operational profile in the prediction horizon.

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Section: Simulation Setup and Boundary Conditionsmentioning

confidence: 99%

“…Further validation and use examples of the above-mentioned model are also given in the literature. 16,19…”

Section: Simulation Setup and Boundary Conditionsmentioning

confidence: 99%

See 1 more Smart Citation

Smart rule-based diesel engine control strategies by means of predictive driving information

Vagnoni

Eisenbarth

Andert

et al. 2019

International Journal of Engine Research

Self Cite

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“…Therefore, to have time and cost-effective solutions to deal with the above-mentioned challenges, virtualization becomes mandatory throughout the development process. Several authors have shown that frontloading through detailed and fast virtualization of a powertrain permits a massive reduction of the required test loops on prototype engines [12,13]. Thus, expensive, and time-consuming experimental testing can be easily reduced.…”

Section: Introductionmentioning

confidence: 99%

“…The combination of MVEMs with a few essential experimental parameters and a high degree of physical principles is used to accomplish acceptable precision while fulfilling the strong real-time constraints. Few examples of the application of such kinds of models for virtual calibration are available in the literature [12,34] and often they are limited to the single subsystem (engine) not considering the interaction with exhaust after-treatment system as shown in this article.…”

Section: Introductionmentioning

confidence: 99%

Towards a Powerful Hardware-in-the-Loop System for Virtual Calibration of an Off-Road Diesel Engine

Riccio

Monzani²,

Landi³

2022

Energies

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A common challenge among internal combustion engine (ICE) manufacturers is shortening the development time while facing requirements and specifications that are becoming more complex and border in scope. Virtual simulation and calibration are effective instruments in the face of these demands. This article presents the development of zero-dimensional (0D)—real-time engine and exhaust after-treatment system (EAS) models and their deployment on a Virtual test bench (VTB). The models are created using a series of measurements acquired in a real test bench, carefully performed in view of ensuring the highest reliability of the models themselves. A zero-dimensional approach was chosen to guarantee that models could be run in real-time and interfaced to the real engine Electronic Control Unit (ECU). Being physically based models, they react to changes in the ECU calibration parameters. Once the models are validated, they are then integrated into a Simulink® based architecture with all the Inputs/Outputs connections to the ECU. This Simulink® model is then deployed on a Hardware in the Loop (HiL) machine for ECU testing and calibration. The results for engine and EAS performance and emissions align with both steady-state and transient measurements. Finally, two different applications of the HiL system are presented to explain the opportunities and advantages of this tool integrated within the standard engine development. Examples cited refer to altitude calibration activities and soot loading investigation on vehicle duty cycles. The cases described in this work are part of the actual development of one of the latest engines developed by Kohler Engines: the KDI 1903 TCR Stage V. The application of this methodology reveals a great potential for engine development and may become an essential tool for calibration engineers.

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Engine-in-the-Loop: A Method for Efficient Calibration and Virtual Testing of Advanced Diesel Powertrains

et al. 2019

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X-in-the-Loop-basierte Kalibrierung: HiL Simulation eines virtuellen Dieselantriebsstrangs

Cited by 9 publications

References 6 publications

Smart rule-based diesel engine control strategies by means of predictive driving information

Smart rule-based diesel engine control strategies by means of predictive driving information

Towards a Powerful Hardware-in-the-Loop System for Virtual Calibration of an Off-Road Diesel Engine

Engine-in-the-Loop: A Method for Efficient Calibration and Virtual Testing of Advanced Diesel Powertrains

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