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

Jonas Müller (), Nico Besser, Philipp Hermsen, Stefan Pischinger, Jürgen Knauf, Pooya Bagherzade, Johannes Fryjan, Andreas Balazs and Simon Gottorf
Additional contact information
Jonas Müller: Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany
Nico Besser: Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany
Philipp Hermsen: Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany
Stefan Pischinger: Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany
Jürgen Knauf: FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany
Pooya Bagherzade: FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany
Johannes Fryjan: FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany
Andreas Balazs: FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany
Simon Gottorf: FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany

Energies, 2023, vol. 16, issue 7, 1-26

Abstract: 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.

Keywords: advanced thermal management models; control unit functions; model-in-the-loop; model predictive controls; hybrid electric vehicles; systems engineering; frontloading (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/7/3238/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/7/3238/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:7:p:3238-:d:1115739

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().