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Citation:Hao Chen,Yongqiang Liu,Fan Yang,et al.Research on temperature rise and cooling system optimization design of switched reluctance machine[J].Protection and Control of Modern Power Systems,2025,V10(04):72-88[Copy]
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Research on temperature rise and cooling system optimization design of switched reluctance machine
Hao Chen,Yongqiang Liu,Fan Yang,Xing Wang,Zefu Tan,Li Cai,Antonino Musolino,Qian Huang,Yong Qi,Guanjun Wang,Lijun Xu,Kai Ge,Yokub Tairov,Murat Shamiyev
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Abstract:
Excessive temperature rise during the operation of the generator system can affect the safety and life cycle of the machine. Therefore, in order to accurately obtain the internal temperature of the switched reluctance generator (SRG), an internal temperature estimation model based on electric heating is established in this paper. First, an improved variable coefficient Bertotti loss separation calculation formula is adopted to solve the iron loss of the generator under various operating conditions. Subsequently, the accurate heat source parameters in the temperature model can be obtained, and the corresponding heat source data can be calculated. Then, based on the obtained heat source data, an equivalent thermal circuit model is established for SRG. Meanwhile, in order to effectively reduce the internal temperature during SRG operation, a new water-cooled structure for direct cooling of SRG stator windings is proposed in this paper, which can effectively reduce the temperature rise during operation, thus improving the reliability of the generator. Finally, by comparing the equivalent thermal circuit model, finite element thermal model, and experimental temperature measurements of SRG, it is found that results from the equivalent thermal circuit model of the SRG are closer to the measured temperatures, while the effectiveness of the water-cooled structure is verified.
Key words:  Switched reluctance generator, junction temperature, finite element thermal model, equivalent thermal circuit model, water-cooled structure.
DOI:10.23919/PCMP.2024.000092
Fund:This work is supported in part by the Shenzhen Collaborative Innovation Special Plan International Cooperation Research Project (No. GJHZ20220913144400001) and the General Research Project of Shenzhen Science and Technology Plan (No. JCYJ20220818100000001).
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