Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink
Currently, the offline manual periodic detection method is a well-established practice in detecting the thermal state of the converter heatsink. This method, however, is huge in maintenance costs. To lower maintenance costs and improve maintenance efficiency in detecting the thermal dissipation stat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9693499/ |
| _version_ | 1811161979877851136 |
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| author | Hao Jia Jie Chen Heping Fu Ruichang Qiu Zhigang Liu |
| author_facet | Hao Jia Jie Chen Heping Fu Ruichang Qiu Zhigang Liu |
| author_sort | Hao Jia |
| collection | DOAJ |
| description | Currently, the offline manual periodic detection method is a well-established practice in detecting the thermal state of the converter heatsink. This method, however, is huge in maintenance costs. To lower maintenance costs and improve maintenance efficiency in detecting the thermal dissipation state, this paper proposes an intelligent online prediction scheme based on Gauss-Newton iteration method. Firstly, the power loss model of the power module is established according to the characteristics of IGBT and FWD. The power loss of the power device is then calculated in real time with the voltage and current parameters of the converter. Next, the transient thermal model of the heatsink is established based on thermodynamics theory. And the calculation method of steady thermal resistance of heatsink based on Gauss-Newton iteration method is proposed according to the model. The transient thermal impedance data allow for timely prediction of thermal resistance of the heatsink and characterize the thermal state of the heatsink. Finally, with the help of DSP28377D, an experimental platform is built to verify the scheme. Results show that this method can realize intelligent prediction of thermal state online. |
| first_indexed | 2024-04-10T06:22:40Z |
| format | Article |
| id | doaj.art-4ef11d61fc4446568987534fa7f08413 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T06:22:40Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-4ef11d61fc4446568987534fa7f084132023-03-02T00:00:45ZengIEEEIEEE Access2169-35362023-01-0111191031911010.1109/ACCESS.2022.31467139693499Intelligent Prediction Method for Heat Dissipation State of Converter HeatsinkHao Jia0Jie Chen1https://orcid.org/0000-0001-9259-8270Heping Fu2https://orcid.org/0000-0002-2078-1225Ruichang Qiu3Zhigang Liu4https://orcid.org/0000-0003-3054-1425School of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaSchool of Electrical Engineering, Beijing Jiaotong University, Beijing, ChinaBeijing Rail Transit Electrical Engineering Technology Research Center, Beijing, ChinaCurrently, the offline manual periodic detection method is a well-established practice in detecting the thermal state of the converter heatsink. This method, however, is huge in maintenance costs. To lower maintenance costs and improve maintenance efficiency in detecting the thermal dissipation state, this paper proposes an intelligent online prediction scheme based on Gauss-Newton iteration method. Firstly, the power loss model of the power module is established according to the characteristics of IGBT and FWD. The power loss of the power device is then calculated in real time with the voltage and current parameters of the converter. Next, the transient thermal model of the heatsink is established based on thermodynamics theory. And the calculation method of steady thermal resistance of heatsink based on Gauss-Newton iteration method is proposed according to the model. The transient thermal impedance data allow for timely prediction of thermal resistance of the heatsink and characterize the thermal state of the heatsink. Finally, with the help of DSP28377D, an experimental platform is built to verify the scheme. Results show that this method can realize intelligent prediction of thermal state online.https://ieeexplore.ieee.org/document/9693499/Power electronic converters heatsink intelligent prediction Gauss-Newton iteration method |
| spellingShingle | Hao Jia Jie Chen Heping Fu Ruichang Qiu Zhigang Liu Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink IEEE Access Power electronic converters heatsink intelligent prediction Gauss-Newton iteration method |
| title | Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink |
| title_full | Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink |
| title_fullStr | Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink |
| title_full_unstemmed | Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink |
| title_short | Intelligent Prediction Method for Heat Dissipation State of Converter Heatsink |
| title_sort | intelligent prediction method for heat dissipation state of converter heatsink |
| topic | Power electronic converters heatsink intelligent prediction Gauss-Newton iteration method |
| url | https://ieeexplore.ieee.org/document/9693499/ |
| work_keys_str_mv | AT haojia intelligentpredictionmethodforheatdissipationstateofconverterheatsink AT jiechen intelligentpredictionmethodforheatdissipationstateofconverterheatsink AT hepingfu intelligentpredictionmethodforheatdissipationstateofconverterheatsink AT ruichangqiu intelligentpredictionmethodforheatdissipationstateofconverterheatsink AT zhigangliu intelligentpredictionmethodforheatdissipationstateofconverterheatsink |