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Sensorless based SVPWM-DTC of AFPMSM for electric vehicles.

作者信息

Saleh Saber M, Hassan Amir Y

机构信息

Department of Electrical Engineering, Faculty of Engineering, Fayoum University, Fayoum, Egypt.

Department of Power Electronics and Energy Conversion, Electronics Research Institute, Cairo, Egypt.

出版信息

Sci Rep. 2022 May 30;12(1):9023. doi: 10.1038/s41598-022-12825-x.

DOI:10.1038/s41598-022-12825-x
PMID:35637244
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9151675/
Abstract

AFPMSM is lighter, has a higher power-to-weight ratio, is shorter in length, is less expensive, and has a higher efficiency than the radial flux motor. Then AFPMSM is more suitable for driving the EV than radial flux motor. The proposed technique in this paper is the sensorless-based SVPWM-DTC of AFPMSM to drive electric vehicles. Sensorless research becomes more important in this circumstance since the axial motor can be placed inside the vehicle tire due to its condensed size and shape similar to the tires. DTC provides less fluctuation for the driver during driving for safety and comfort. SVPWM is preferred for its high performance. When measuring speed using a sensorless estimator, sensor inaccuracy is minimized, and the AFPMS motor can be mounted inside the tire. The control system is tested using two EVs driving cycles, and the results promise high performance. NEDC and HWFET driving cycles are used to test the proposed control scheme in 100 times less than the actual driving cycles' time to test the coherence of the sensorless estimator. The results demonstrate that the proposed technique is valid for real-time applications with high-performance, minimum torque fluctuations, and minimum transient and steady-state errors.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/ebd76f634090/41598_2022_12825_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/53ab83f1cf94/41598_2022_12825_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/cb74a351b974/41598_2022_12825_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/6eeb8f47c2f2/41598_2022_12825_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/02ee8bb911ac/41598_2022_12825_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/4db0dcc2a036/41598_2022_12825_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/ebd76f634090/41598_2022_12825_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/53ab83f1cf94/41598_2022_12825_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/cb74a351b974/41598_2022_12825_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/6eeb8f47c2f2/41598_2022_12825_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/02ee8bb911ac/41598_2022_12825_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/4db0dcc2a036/41598_2022_12825_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1606/9151675/ebd76f634090/41598_2022_12825_Fig14_HTML.jpg

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本文引用的文献

1
A review on MRAS-type speed estimators for reliable and efficient induction motor drives.MRAS 型转速估计器在感应电机驱动中的可靠性和高效性综述。
ISA Trans. 2019 Oct;93:1-13. doi: 10.1016/j.isatra.2019.03.022. Epub 2019 Apr 2.
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Sci Rep. 2022 Sep 2;12(1):14993. doi: 10.1038/s41598-022-19250-0.