BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING

Lukas  BAUER; Leon STÜTZ; Markus KLEY

doi:10.23743/acs-2021-25

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Published: Dec 30, 2021

DOI: https://doi.org/10.23743/acs-2021-25

Issue Vol. 17 No. 4 (2021)

Articles

BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING
Lukas BAUER, Leon STÜTZ, Markus KLEY

5-19
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Kadeejah ABDULSALAM, John ADEBISI, Victor DUROJAIYE

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CAREER TRACK PREDICTION USING DEEP LEARNING MODEL BASED ON DISCRETE SERIES OF QUANTITATIVE CLASSIFICATION
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KEYSTROKE DYNAMICS ANALYSIS USING MACHINE LEARNING METHODS
Nataliya SHABLIY, Serhii LUPENKO, Nadiia LUTSYK, Oleh YASNIY, Olha MALYSHEVSKA

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CYBER-PHYSICAL SYSTEMS TECHNOLOGIES AS A KEY FACTOR IN THE PROCESS OF INDUSTRY 4.0 AND SMART MANUFACTURING DEVELOPMENT
Jarosław ZUBRZYCKI, Antoni ŚWIĆ, Łukasz SOBASZEK, Juraj KOVAC, Ruzena KRALIKOVA, Robert JENCIK, Natalia SMIDOVA, Polyxeni ARAPI, Peter DULENCIN, Jozef HOMZA

84-99
PRODUCTIVITY OF A LOW-BUDGET COMPUTER CLUSTER APPLIED TO OVERCOME THE N-BODY PROBLEM
Tomasz NOWICKI, Adam GREGOSIEWICZ, Zbigniew ŁAGODOWSKI

100-109

DOI

https://doi.org/10.23743/acs-2021-25

Authors

Lukas BAUER

lukas.bauer@hs-aalen.de

Aalen University, Institute for Drive Technology, Germany

Leon STÜTZ

leon.stuetz@hs-aalen.de

Aalen University, Institute for Drive Technology, Germany

Markus KLEY

markus.kley@hs-aalen.de

Aalen University, Institute for Drive Technolog, Germany

Abstract

The increasing electrification of powertrains leads to increased demands for the test technology to ensure the required functions. For conventional test rigs in particular, it is necessary to have knowledge of the test technology's capabilities that can be applied in practical testing. Modelling enables early knowledge of the test rigs dynamic capabilities and the feasibility of planned testing scenarios. This paper describes the modelling of complex subsystems by experimental modelling with artificial neural networks taking transmission efficiency as an example. For data generation, the experimental design and execution is described. The generated data is pre-processed with suitable methods and optimized for the neural networks. Modelling is executed with different variants of the inputs as well as different algorithms. The variants compare and compete with each other. The most suitable variant is validated using statistical methods and other adequate techniques. The result represents reality well and enables the performance investigation of the test systems in a realistic manner.

Keywords:

electromobility, powertrain, electric drives, artificial neural network, efficiency modelling

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BAUER, L. ., STÜTZ, L., & KLEY, M. (2021). BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING. Applied Computer Science, 17(4), 5–19. https://doi.org/10.23743/acs-2021-25

BLACK BOX EFFICIENCY MODELLING OF AN ELECTRIC DRIVE UNIT UTILIZING METHODS OF MACHINE LEARNING

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