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Analysis of torque controlling strategies of interior permanent magnet synchronous machine in hybrid electric vehicle
- Source :
- SN Applied Sciences, Vol 5, Iss 12, Pp 1-11 (2023)
- Publication Year :
- 2023
- Publisher :
- Springer, 2023.
-
Abstract
- Abstract Significance of this research is based on torque controlling strategies in hybrid electric vehicle. The traction motor of a hybrid electric commercial vehicle must have a high power density-to-weight ratio and excellent torque at extremely low speeds. A proportional-integral controller estimates the high-resolution rotor position based on the difference between actual as well as reference output power. This technique can correct for hall position sensor installation error and also accurately estimate rotor position. In this study, a current proportional integral controller is also used to determine the permanent magnetic flux linkage. Experiments are used to test other key metrics such as d-axis and q-axis inductances, stator resistance, and energy loss. The measured parameters are kept in lookup tables that span the whole operating range at various current levels. A maximum torque per ampere control methodology, paired with the feed forward parameter iteration method, may be used to produce accurate and efficient torque control based on these precise parameters. The standard driving cycle performance requirements of the modelled Federal Test Procedure vehicle is analysed in the article for understanding the real model requirements of the vehicle. The efficacy of the proposed methodology using Matlab/Simulink environment is analysed. Both modelling and experimental findings validate the efficacy, torque ripple, stator and rotor flux, sensitivity of the vehicle parameter as well as the computational complexity of the proposed methodology.
Details
- Language :
- English
- ISSN :
- 25233963 and 25233971
- Volume :
- 5
- Issue :
- 12
- Database :
- Directory of Open Access Journals
- Journal :
- SN Applied Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.748204711ed4519849bb17634b5b3e9
- Document Type :
- article
- Full Text :
- https://doi.org/10.1007/s42452-023-05563-w