{"title":"使用无传感器外激式同步电机的电动汽车的功率和能耗优化","authors":"T. Paulraj, Yeddula Pedda Obulesu","doi":"10.1007/s40998-024-00714-0","DOIUrl":null,"url":null,"abstract":"<p>This paper presents a comprehensive analysis of an Externally Excited Synchronous Motor (EESM) integrated with sensorless Field-Oriented Control (FOC) using the stator and rotor mutual inductance method focusing on its impact on electric vehicle (EV) performance, energy efficiency, and optimization considerations. The investigation on the performance analysis of the EV shows that there is an improvement in the performance of the EV in terms of the efficiency of the three-phase Voltage Source Inverter (VSI) as 95.23, 95.07, and 94.51% across IHDC, WLTP, and NEDC drive cycles respectively. The efficiency of the traction motor, EESM, is 89.61, 89.92, and 88.46% for the same cycles, highlighting the efficacy of sensorless FOC in optimizing power and energy consumption. The research analysis reveals that the energy consumption rates of 280, 190, and 140 W/km for IHDC, WLTP, and NEDC cycles, with corresponding running costs of 1.19, 0.81, and 0.59 INR/km respectively. The analysis also uncovers driving ranges, with IHDC offering a maximum of 197 km, while WLTP and NEDC provide 290 and 400 km respectively. Additionally, the research study evaluates greenhouse gas emissions, with EESM-based EVs demonstrating substantial emission reductions. Specifically, IHDC records emissions of 198.8 g/km, WLTP at 134.9 g/km, and NEDC at 99.4 g/km, compared to 158.7 g/km for petrol cars and 145.25 g/km for diesel cars respectively. This research highlights the potential of EESM-based EVs with sensorless FOC control to enhance efficiency, reduced energy consumption and reduce emissions, making them a promising choice for sustainable transportation. The proposed research work carried out using Matlab/Simulink and results are presented to validate the proposed work.</p>","PeriodicalId":49064,"journal":{"name":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power and Energy Optimization in EV with Sensorless Externally Excited Synchronous Motor\",\"authors\":\"T. Paulraj, Yeddula Pedda Obulesu\",\"doi\":\"10.1007/s40998-024-00714-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper presents a comprehensive analysis of an Externally Excited Synchronous Motor (EESM) integrated with sensorless Field-Oriented Control (FOC) using the stator and rotor mutual inductance method focusing on its impact on electric vehicle (EV) performance, energy efficiency, and optimization considerations. The investigation on the performance analysis of the EV shows that there is an improvement in the performance of the EV in terms of the efficiency of the three-phase Voltage Source Inverter (VSI) as 95.23, 95.07, and 94.51% across IHDC, WLTP, and NEDC drive cycles respectively. The efficiency of the traction motor, EESM, is 89.61, 89.92, and 88.46% for the same cycles, highlighting the efficacy of sensorless FOC in optimizing power and energy consumption. The research analysis reveals that the energy consumption rates of 280, 190, and 140 W/km for IHDC, WLTP, and NEDC cycles, with corresponding running costs of 1.19, 0.81, and 0.59 INR/km respectively. The analysis also uncovers driving ranges, with IHDC offering a maximum of 197 km, while WLTP and NEDC provide 290 and 400 km respectively. Additionally, the research study evaluates greenhouse gas emissions, with EESM-based EVs demonstrating substantial emission reductions. Specifically, IHDC records emissions of 198.8 g/km, WLTP at 134.9 g/km, and NEDC at 99.4 g/km, compared to 158.7 g/km for petrol cars and 145.25 g/km for diesel cars respectively. This research highlights the potential of EESM-based EVs with sensorless FOC control to enhance efficiency, reduced energy consumption and reduce emissions, making them a promising choice for sustainable transportation. The proposed research work carried out using Matlab/Simulink and results are presented to validate the proposed work.</p>\",\"PeriodicalId\":49064,\"journal\":{\"name\":\"Iranian Journal of Science and Technology-Transactions of Electrical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iranian Journal of Science and Technology-Transactions of Electrical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s40998-024-00714-0\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Science and Technology-Transactions of Electrical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s40998-024-00714-0","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Power and Energy Optimization in EV with Sensorless Externally Excited Synchronous Motor
This paper presents a comprehensive analysis of an Externally Excited Synchronous Motor (EESM) integrated with sensorless Field-Oriented Control (FOC) using the stator and rotor mutual inductance method focusing on its impact on electric vehicle (EV) performance, energy efficiency, and optimization considerations. The investigation on the performance analysis of the EV shows that there is an improvement in the performance of the EV in terms of the efficiency of the three-phase Voltage Source Inverter (VSI) as 95.23, 95.07, and 94.51% across IHDC, WLTP, and NEDC drive cycles respectively. The efficiency of the traction motor, EESM, is 89.61, 89.92, and 88.46% for the same cycles, highlighting the efficacy of sensorless FOC in optimizing power and energy consumption. The research analysis reveals that the energy consumption rates of 280, 190, and 140 W/km for IHDC, WLTP, and NEDC cycles, with corresponding running costs of 1.19, 0.81, and 0.59 INR/km respectively. The analysis also uncovers driving ranges, with IHDC offering a maximum of 197 km, while WLTP and NEDC provide 290 and 400 km respectively. Additionally, the research study evaluates greenhouse gas emissions, with EESM-based EVs demonstrating substantial emission reductions. Specifically, IHDC records emissions of 198.8 g/km, WLTP at 134.9 g/km, and NEDC at 99.4 g/km, compared to 158.7 g/km for petrol cars and 145.25 g/km for diesel cars respectively. This research highlights the potential of EESM-based EVs with sensorless FOC control to enhance efficiency, reduced energy consumption and reduce emissions, making them a promising choice for sustainable transportation. The proposed research work carried out using Matlab/Simulink and results are presented to validate the proposed work.
期刊介绍:
Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities.
The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well
as applications of established techniques to new domains in various electical engineering disciplines such as:
Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers,
organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.