Virtual Instrumentation Based Benchmark System for AC Motors Testing

Visan, Daniel Alexandru; Lita, Adrian

doi:10.1109/siitme56728.2022.9988074

Cited by 1 publication

(1 citation statement)

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“…With advancements in motor production processes and the heightened performance expectations, the industry is witnessing a discernible shift towards the adoption of higher-precision motor testing technologies [4] [5] . This paper, leveraging virtual instrumentation technology [11] , autonomously develops an automated test bench for power steering motors. This system facilitates the control and monitoring of power steering motor operations, allowing for regulated measurement processes, data processing, and the recording and display of measurement results.…”

Section: Introductionmentioning

confidence: 99%

Design of the EPS motor automation test system

Zhang,

He,

Liu

2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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The rapid global development of electric vehicles has heightened the imperative for exacting performance assessments of Electric Power Steering (EPS) systems, a pivotal subsystem within the automotive domain [13] . This research focuses on the EPS automated testing equipment as the research subject, proposing an automated testing system solution for EPS motors in new energy vehicles based on the testing requirements of the entire vehicle factory. The system is primarily composed of three parts: a testing platform, a control cabinet, and an industrial computer, incorporating both hardware devices and software programs. Its purpose is to conduct motor performance tests specifically tailored for EPS powerassisted motors. The testing system can achieve automated execution, data collection, and data analysis, displaying test results and saving test reports. Experimental findings affirm that the motor testing system demonstrates elevated stability and reliability, contributing significantly to the enhancement of testing efficiency and precision, as substantiated by relevant academic literature.

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Section: Introductionmentioning

confidence: 99%