Virtual Development of Advanced Thermal Management Functions Using Model-in-the-Loop Applications

Virtual Development of Advanced Thermal Management Functions Using Model-in-the-Loop Applications

Development challenges in the automotive industry are constantly increasing due to the high number of vehicle variants, the growing complexity of powertrains, and future legal requirements. In order to reduce development times while maintaining a high level of product quality and financial feasibili...

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Bibliographic Details
Published in:Energies (Basel) Vol. 16; no. 7; p. 3238
Main Authors: Müller, Jonas, Besser, Nico, Hermsen, Philipp, Pischinger, Stefan, Knauf, Jürgen, Bagherzade, Pooya, Fryjan, Johannes, Balazs, Andreas, Gottorf, Simon
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-04-2023
Subjects:
advanced thermal management models
Automobile industry
Automobiles
Calibration
control unit functions
Cooling
Cooling systems
Design and construction
Efficiency
Electric vehicles
Electronic control
Energy
Heat transfer
Heating, cooling and ventilation
hybrid electric vehicles
Hybrid vehicles
Leak detection
Management systems
model predictive controls
model-in-the-loop
Optimal control
Power trains
Powertrain
Product life cycle
Sensors
Simulation
Software
Software development
systems engineering
Technology application
Testing
Virtual sensors
Germany
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Summary:Development challenges in the automotive industry are constantly increasing due to the high number of vehicle variants, the growing complexity of powertrains, and future legal requirements. In order to reduce development times while maintaining a high level of product quality and financial feasibility, the application of new model-based methods for virtual powertrain calibration is a particularly suitable approach. In this context, TME and FEV combine advanced thermal management models with electronic control unit (ECU) models for model-in-the-loop applications. This paper presents a development process for ECU and on-board diagnostics (OBD) functions of thermal management systems in hybrid electric vehicles. Thanks to the highly accurate 1D/3D-models, optimal control strategies for electrically actuated components can be developed in early development phases. Virtual sensors for local temperatures are developed for the ECU software to enable a cost-effective use of dedicated control functions. Furthermore, an application for OBD cooling system leakage detection is shown. Finally, the transferability of the methodology to a battery cooling system is demonstrated.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16073238