Development of reliability evaluation test platform for three-phase inverter
In the reliability assessment test of three-phase inverter, the accurate measurement of its output performance parameters and internal key node characteristics parameters is crucial, which can comprehensively reflect its health status and accurately assess its reliability. The paper will examine the EMC and signal integrity challenges associated with three-phase inverters, as well as the hardware components of an automated test platform using simulation modeling. Furthermore, it will entail the development of Python-based software for the automated test platform to improve the efficiency of measuring key output parameters of three-phase inverters. Firstly, based on the component structure and circuit topology of three-phase inverter, the sensitivity analysis method is used to analyze the automatic test requirements of three-phase inverter step by step, and the key output parameters need to be measured are determined. Secondly, a parameter automatic test hardware circuit is designed in accordance with the identified requirements. The electromagnetic interference and signal integrity of the designed circuit are analyzed using ANSYS SIwave, followed by an optimization of the design. Finally, the upper computer design of the three-phase inverter parameter automatic test platform is developed based on Python. The repeated test accuracy of the key output parameters of the three-phase inverter is greater than ${9 0 \%}$, and the automatic test error is less than $10 \%$, which can realize the accurate fault measurement of the three-phase inverter, improve the reliability of data measurement, and meet the actual use requirements.
Authors
- Hejun Du (ORCID: https://orcid.org/0000-0002-6204-7520)
- Lingjie Su (ORCID: https://orcid.org/0009-0007-8528-9390)
- Cen Chen (ORCID: https://orcid.org/0000-0002-5115-4929)
- Guofu Zhai
Institutions
- Harbin Institute of Technology (CN)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/srse63568.2024.10772556
- Primary Topic
- Power Systems and Renewable Energy
- Type
- article
- Field-Weighted Citation Impact
- 0.00