A Practical Switch Condition Monitoring Solution for SiC Traction Inverters

Vankayalapati, Bhanu Teja; Farhadi, Masoud; Sajadi, Rahman; Akin, Bilal; Tan, Hui Ru

doi:10.1109/jestpe.2022.3217232

Cited by 9 publications

(4 citation statements)

References 26 publications

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“…A similar estimation method has been proposed in [27] and [28], however, the accuracy of the proposed solutions have not been compared with accurate references, and the sensitivity of the solutions have not been investigated in different operational conditions.…”

Section: A Rls-based Estimationmentioning

confidence: 99%

“…The estimated data can then be used for many purposes such as online condition monitoring of the semiconductor devices, junction temperature monitoring, etc. The relationship between ON-state resistance, device health, and junction temperature has been thoroughly investigated in the literature, and is not repeated in this paper [2], [7], [9]- [12], [14], [19], [26]- [28]. The proposed method in this paper is a frequency-based approach for online estimation of ON-state resistance.…”

Section: Introductionmentioning

confidence: 99%

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A Novel ON-State Resistance Estimation Technique for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions

Asoodar,

Nahalparvari,

Schneider

et al. 2024

IEEE Open J. Instrum. Meas.

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This article presents a novel method for accurate online extraction of semiconductor ON-state resistance in the presence of measurement noise. In this method, the ON-state resistance value is extracted from the measured ON-state voltage of the semiconductors and the measured load current. The extracted ON-state resistance can be used for online condition monitoring of semiconductors. The proposed method is based on extraction of selective harmonic content. The estimated values are further enhanced through an integral action that increases the signal-to-noise ratio, making the proposed method suitable in the presence of noisy measurements. These efficacy of the proposed method is verified through simulations in the MATLAB/Simulink environment, and experimentally. The estimated ON-state resistance values from the online setup are compared to offline measurements from an industrial curve tracer, where an overall estimation error of less than 1% is observed. The proposed solution maintains its estimation accuracy under variable load conditions and for different temperatures of the device under test.

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Section: A Rls-based Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel ON-State Resistance Estimation Technique for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions

Asoodar,

Nahalparvari,

Schneider

et al. 2024

IEEE Open J. Instrum. Meas.

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show abstract

Section: Introductionmentioning

confidence: 99%

Accurate ON-State Resistance Extraction for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions

Asoodar,

Nahalparvari,

Schneider

et al. 2024

Preprint

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“…Power device reliability can be improved through various approaches that have been discussed in the literature. These include the use of hardware redundancy [17], [18], active thermal control [19], [20], and device state of health monitoring [21]- [23]. The basic idea behind hardware redundancy is to provide backup (c) 2023 IEEE.…”

mentioning

confidence: 99%

AC Power Cycling Test Setup and Condition Monitoring Tools for SiC-Based Traction Inverters

Farhadi

Vankayalapati

Sajadi

et al. 2023

IEEE Trans. Veh. Technol.

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AC power cycling tests allow the most realistic reliability assessment by applying close to real stress to the device or module under test to meet functional safety standards, which is highly critical for traction applications. This paper presents a comprehensive guideline and shares critical know-how to develop a 120 KVA AC power cycling test setup for high-power Silicon Carbide (SiC) modules. As of today, traction applications can not generate an early warning signal for drivers to replace critical components on time. For this purpose, the suitable precursors for all dominant failure mechanisms are discussed, and the corresponding condition monitoring tools are proposed to monitor the device aging on power converters. These condition monitoring tools are integrated into the built-in desaturation protection circuit of the electric vehicle (EV) gate driver for low-cost, practical implementation. The on-resistance of all twelve switches is monitored online as a temperature-sensitive electrical parameter (TSEP) to measure the junction temperature of the devices. To avoid heavy processing load in the microcontroller, the out-of-order equivalent time sampling technique is developed for data sampling, which leads to a measurement error of less than 1.5%. In addition, the design considerations regarding common mode noise and aging effect on DESAT protection are investigated, and experimental findings are presented.

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A Practical Switch Condition Monitoring Solution for SiC Traction Inverters

Cited by 9 publications

References 26 publications

A Novel ON-State Resistance Estimation Technique for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions

A Novel ON-State Resistance Estimation Technique for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions

Accurate ON-State Resistance Extraction for Online Condition Monitoring of Semiconductor Devices Under Noisy Conditions

AC Power Cycling Test Setup and Condition Monitoring Tools for SiC-Based Traction Inverters

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