Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy
In order to improve the reliability of the IGBT module used in the inverter for permanent magnet synchronous motor of electric vehicle, this paper studied the reliability of the inverter from two aspects: heat loss and heat dissipation. Through the loss comparison analysis of the IGBT module in the...
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| Format: | Article |
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Editorial Office of Control and Information Technology
2020-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
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| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.200 |
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| _version_ | 1849224890400374784 |
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| author | DAI Xiaopeng LEI Fei ZHANG Tianhao |
| author_facet | DAI Xiaopeng LEI Fei ZHANG Tianhao |
| author_sort | DAI Xiaopeng |
| collection | DOAJ |
| description | In order to improve the reliability of the IGBT module used in the inverter for permanent magnet synchronous motor of electric vehicle, this paper studied the reliability of the inverter from two aspects: heat loss and heat dissipation. Through the loss comparison analysis of the IGBT module in the inverter under the same condition of d-axis armature current zero (id = 0) and maximum torque per ampere (MTPA), it is found that the MTPA control strategy is better than the id = 0 control strategy. Then,based on the MTPA control strategy, a heat pipe and air cooling combined cooling structure was designed. Compared with the original air cooling structure, the new cooling method can reduce the maximum working temperature of the chips by 8.49 ℃ . In this paper, the optimal Latin hypercube sampling is used to construct the response surface surrogate model (RSM), and the multi-island genetic algorithm (MIGA) is used to optimize the surrogate model. It is verified that the optimized heat pipe air-cooled heat dissipation structure reduces the maximum chip temperature by 15.12 ℃ , which effectively improves the thermal reliability of the IGBT module. |
| format | Article |
| id | doaj-art-8a9fbc1bfaca4bd3b171a45c25c48f6b |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-8a9fbc1bfaca4bd3b171a45c25c48f6b2025-08-25T06:50:50ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272020-01-01375582320947Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control StrategyDAI XiaopengLEI FeiZHANG TianhaoIn order to improve the reliability of the IGBT module used in the inverter for permanent magnet synchronous motor of electric vehicle, this paper studied the reliability of the inverter from two aspects: heat loss and heat dissipation. Through the loss comparison analysis of the IGBT module in the inverter under the same condition of d-axis armature current zero (id = 0) and maximum torque per ampere (MTPA), it is found that the MTPA control strategy is better than the id = 0 control strategy. Then,based on the MTPA control strategy, a heat pipe and air cooling combined cooling structure was designed. Compared with the original air cooling structure, the new cooling method can reduce the maximum working temperature of the chips by 8.49 ℃ . In this paper, the optimal Latin hypercube sampling is used to construct the response surface surrogate model (RSM), and the multi-island genetic algorithm (MIGA) is used to optimize the surrogate model. It is verified that the optimized heat pipe air-cooled heat dissipation structure reduces the maximum chip temperature by 15.12 ℃ , which effectively improves the thermal reliability of the IGBT module.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.200IGBT moduleMTPA(maximum torque per ampere)heat pipeair coolingsurrogate modelMIGA(multi-island genetic algorithm) |
| spellingShingle | DAI Xiaopeng LEI Fei ZHANG Tianhao Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy Kongzhi Yu Xinxi Jishu IGBT module MTPA(maximum torque per ampere) heat pipe air cooling surrogate model MIGA(multi-island genetic algorithm) |
| title | Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy |
| title_full | Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy |
| title_fullStr | Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy |
| title_full_unstemmed | Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy |
| title_short | Heat Dissipation Structure Optimization of Inverter Based on the Optimal Control Strategy |
| title_sort | heat dissipation structure optimization of inverter based on the optimal control strategy |
| topic | IGBT module MTPA(maximum torque per ampere) heat pipe air cooling surrogate model MIGA(multi-island genetic algorithm) |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.01.200 |
| work_keys_str_mv | AT daixiaopeng heatdissipationstructureoptimizationofinverterbasedontheoptimalcontrolstrategy AT leifei heatdissipationstructureoptimizationofinverterbasedontheoptimalcontrolstrategy AT zhangtianhao heatdissipationstructureoptimizationofinverterbasedontheoptimalcontrolstrategy |