{"title":"电动汽车内部 PMSM 的高效铁损估计:分析建模与实验验证","authors":"Lin Liu;Youguang Guo;Gang Lei;Jianguo Zhu","doi":"10.1109/TASC.2024.3463260","DOIUrl":null,"url":null,"abstract":"The loss performance of interior permanent magnet synchronous motors (IPMSMs), commonly employed in electric drive systems of electric vehicles (EVs), is notably influenced by temperature fluctuations and harmonics in the supply current, because the magnetic properties of silicon steel sheets are easily vulnerable to these factors. Therefore, in this paper, an advanced experimental setup is utilized to quantify the AC loss of silicon steel samples under rotating magnetic fields. Then, an enhanced analytical estimation model of the iron loss in IPMSMs is formulated by incorporating experimentally-fitted coefficients for hysteresis and eddy current losses, allowing for a comprehensive consideration of temperature variations and harmonics. Given that several calculation methods demonstrated satisfactory accuracy, when relying solely on the no-load iron loss, the efficacy of the proposed model is validated through loaded experiments. Moreover, comparative results verify the improved accuracy and computational simplicity of the presented model, even under the dynamic drive cycle conditions of EVs. The proposed tester and approaches can also be applied to the design optimization of electric motors with high-temperature superconducting (HTS) materials.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Iron Loss Estimation of Interior PMSMs in Electric Vehicles: Analytical Modelling and Experimental Validation\",\"authors\":\"Lin Liu;Youguang Guo;Gang Lei;Jianguo Zhu\",\"doi\":\"10.1109/TASC.2024.3463260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The loss performance of interior permanent magnet synchronous motors (IPMSMs), commonly employed in electric drive systems of electric vehicles (EVs), is notably influenced by temperature fluctuations and harmonics in the supply current, because the magnetic properties of silicon steel sheets are easily vulnerable to these factors. Therefore, in this paper, an advanced experimental setup is utilized to quantify the AC loss of silicon steel samples under rotating magnetic fields. Then, an enhanced analytical estimation model of the iron loss in IPMSMs is formulated by incorporating experimentally-fitted coefficients for hysteresis and eddy current losses, allowing for a comprehensive consideration of temperature variations and harmonics. Given that several calculation methods demonstrated satisfactory accuracy, when relying solely on the no-load iron loss, the efficacy of the proposed model is validated through loaded experiments. Moreover, comparative results verify the improved accuracy and computational simplicity of the presented model, even under the dynamic drive cycle conditions of EVs. The proposed tester and approaches can also be applied to the design optimization of electric motors with high-temperature superconducting (HTS) materials.\",\"PeriodicalId\":13104,\"journal\":{\"name\":\"IEEE Transactions on Applied Superconductivity\",\"volume\":\"34 8\",\"pages\":\"1-5\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Applied Superconductivity\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10682800/\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Applied Superconductivity","FirstCategoryId":"101","ListUrlMain":"https://ieeexplore.ieee.org/document/10682800/","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Efficient Iron Loss Estimation of Interior PMSMs in Electric Vehicles: Analytical Modelling and Experimental Validation
The loss performance of interior permanent magnet synchronous motors (IPMSMs), commonly employed in electric drive systems of electric vehicles (EVs), is notably influenced by temperature fluctuations and harmonics in the supply current, because the magnetic properties of silicon steel sheets are easily vulnerable to these factors. Therefore, in this paper, an advanced experimental setup is utilized to quantify the AC loss of silicon steel samples under rotating magnetic fields. Then, an enhanced analytical estimation model of the iron loss in IPMSMs is formulated by incorporating experimentally-fitted coefficients for hysteresis and eddy current losses, allowing for a comprehensive consideration of temperature variations and harmonics. Given that several calculation methods demonstrated satisfactory accuracy, when relying solely on the no-load iron loss, the efficacy of the proposed model is validated through loaded experiments. Moreover, comparative results verify the improved accuracy and computational simplicity of the presented model, even under the dynamic drive cycle conditions of EVs. The proposed tester and approaches can also be applied to the design optimization of electric motors with high-temperature superconducting (HTS) materials.
期刊介绍:
IEEE Transactions on Applied Superconductivity (TAS) contains articles on the applications of superconductivity and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Large scale applications include magnets for power applications such as motors and generators, for magnetic resonance, for accelerators, and cable applications such as power transmission.