A way to improve the accuracy of virtual physical testing in the X-in-the-Loop environment
https://doi.org/10.51187/0135-3152-2022-1-61-67
Abstract
Introduction (statement of the problem and relevance). Currently, the development of technical products, especially as complex as a modern car, requires solving a huge number of tasks. For this, new research methods are being created that allow testing vehicles or its components simultaneously at several development companies in the X-in-the-Loop environment.
The purpose of the study is to improve the accuracy of virtual physical tests in the X-in-the-Loop environment by experimentally searching for the optimal location for installing the hot-wire anemometer on the temperature control system research stand to determine the average air flow rate at each time point.
Methodology and research methods. An experimental study was carried out and an analysis was made of the flow of incoming air through the radiator of the temperature control system.
Scientific novelty and results. Using the described method, the location of the hot-wire anemometer was chosen, and the correction necessary in the mathematical model was determined to conduct virtual-physical tests of the temperature control system in the X-in-the-Loop environment.
Practical significance. The obtained results make it possible to carry out virtual-physical tests of the temperature control system in the X-in-the-Loop environment with high accuracy, in particular, the simulation of the driving conditions of a vehicle (speed and airflow rate) in real time.
About the Authors
I. A. LyubimovRussian Federation
Design engineer, Center “Power units”
Moscow 125438
A. A. Egoshin
Russian Federation
Head of CFD modeling department, Center Numerical Analysis and Virtual validation
Moscow 125438
R. Kh. Kurmaev
Russian Federation
PhD (Eng), associate professor, leading specialist, Center “Power units”
Moscow 125438
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Review
For citations:
Lyubimov I.A., Egoshin A.A., Kurmaev R.Kh. A way to improve the accuracy of virtual physical testing in the X-in-the-Loop environment. Trudy NAMI. 2022;(1):61-67. (In Russ.) https://doi.org/10.51187/0135-3152-2022-1-61-67