A Fast and Simple Fault Diagnosis Method for Interleaved DC-DC Converters Based on Output Voltage Analysis

Abstract

Interleaved DC-DC converters have been widely used in power conversion due to their high efficiency and reliability. In the application of new energy, this plays an increasingly important role in the grid-connected power generation of wind, solar, and tidal energy. Therefore, it is crucial to ensure the reliability and proper operation of interleaved DC-DC converters. We studied an open circuit fault (OCF) diagnosis method for a three-phase interleaved buck converter. We propose a non-invasive diagnosis method based on the output voltage using the harmonic amplitude and phase at the switching frequency as the diagnostic criteria. Evaluation was carried out on a hardware-in-the-loop (HIL) test platform to prove the validity of the proposed method. The results show that the presented method had high accuracy and robustness against OCFs, which could otherwise damage the system.

An Integrated Cost-Aware Dual Monitoring Framework for SMPS Switching Device Diagnosis

“…Although the results validate the model's strengths through a simulation of a benchmark medium-voltage distribution system, the proposed analytical model lacks strong conviction for physical systems with significant uncertainty levels. In a different study [19], the authors proposed a fault diagnosis and reconfiguration method for 3-phase interleaved buck converters based on the output voltage for diagnosing opencircuit faults. The experimental evaluations on a hardware-in-the-loop test platform reveal high-speed computation efficiencies, ease-of-use, and high accuracy; however, the approach functions under ideal theoretical assumptions on VSA only.…”

Interleaved boost converter open switch fault detection and reconfiguration using harmonic selection calculation

“…Moreover, in case of parameter change or operation mode change, the FD‐based model cannot provide a valid decision regarding FD and isolation. Compared to the state of the art of FD‐based signal methods, our FD strategy is a simple technique that uses the measured variable of the converter without requiring a converter model or complex mathematical techniques. In addition, the proposed diagnosis approach provides a good performance capability in terms of FD time detection with a lower sampling frequency requirement and no additional sensors (except for the one already used in the control process). Also, we have provided an effective thresholding strategy which is not the case for some works stated in Table 3 24,35,36 Finally, this technique can be generalized to other similar topologies as the interleaved multiphase buck converter or a buck‐boost converter. …”

“…Also, we have provided an effective thresholding strategy which is not the case for some works stated in Table 3. 24,35,36 • Finally, this technique can be generalized to other similar topologies as the interleaved multiphase buck converter or a buck-boost converter.…”

Fault Diagnosis Methods and Fault Tolerant Control Strategies for the Electric Vehicle Powertrains

“…Figure 2 shows the components in the EV powertrain that are most likely to fail. These faults can mainly be divided into machine faults in the stator and the rotor, power converter [4][5][6][7], and sensor faults. Root Cause Analysis (RCA) traces a fault mode back to its root cause that initially led to the series of failures [8].…”