Reliability evaluation on SRG with full-bridge power converter considering thermal stress
Microelectronics International
ISSN: 1356-5362
Article publication date: 3 May 2023
Issue publication date: 6 June 2023
Abstract
Purpose
Quantitative reliability analysis can effectively identify the time the driving system needs to be maintained. Then, the potential safety problems can be found, and some catastrophic failures can be effectively prevented. Therefore, this paper aims to evaluate the reliability of the switched reluctance generator (SRG) driving system.
Design/methodology/approach
In this paper, a method considering different thermal stresses and fault tolerance capacity is proposed to analyze the reliability of an SRG. A full-bridge power converter (FBPC) instead of the asymmetric half-bridge power converter (AHBPC) is adopted to drive the SRG system. First, the primary fault modes of the SRG system are introduced, and a fault criterion is proposed to determine whether the system fails. Second, the thermal circuit model of the converter is established to quickly and accurately obtain the junction temperature of the devices. At last, the Markov models of different levels are established to evaluate the reliability of the system.
Findings
The results show that the two-level Markov model is the most suitable when compared to the static model and the one-level Markov model.
Originality/value
The driving system of SRG will be more reliable after the reliability of the system is evaluated by the Markov model. At the same time, an FBPC is adopted to drive the SRG. The FBPCs have the advantages of fewer switching devices, higher integration and lower cost. The proposed driving strategy of the FBPC avoids the current reversal and the generation of dead zone time, which has the advantage of reliable operation. In addition, a precise thermal circuit model of the FBPC is proposed, and the junction temperature of each device can be obtained, respectively.
Keywords
Acknowledgements
National Natural Science Foundation of China under Grant 51977209, Xuzhou Special Found Project for Promoting Scientific and Technological Innovation – Innovation Capacity Building Plan under Grant KC21315.
Citation
Yang, F., Chen, H. and Xu, S. (2023), "Reliability evaluation on SRG with full-bridge power converter considering thermal stress", Microelectronics International, Vol. 40 No. 3, pp. 187-197. https://doi.org/10.1108/MI-06-2022-0094
Publisher
:Emerald Publishing Limited
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