A ST-SMO SOGI PLL and LUT Based Sensorless Vector Controlled PMaSyRM Drive for SPV-Battery Fed Light Electric Vehicle

This paper presents a study on the integration of a solar photovoltaic (SPV) charging system with a permanent magnet-assisted synchronous reluctance motor (PMaSyRM) drive for light electric vehicle (LEV) applications. The SPV-powered battery charging system enables a fully green operation for the LEV, eliminating dependence on non-renewable energy sources. A bidirectional DC-DC converter (BDDC) is utilized to extend the LEV's range by capturing and storing energy during regenerative braking. The speed and torque control of the PMaSyRM is achieved using a lookup table (LUT)-based vector control strategy, which optimizes motor performance by adapting to inverter voltage and current constraints as well as variations in motor parameters. For vector control, rotor position information is required for transformation of currents. The rotor position estimation is achieved using a combination of a super-twisting sliding mode observer (ST-SMO) and a second-order generalized integrator phase-locked loop (SOGI-PLL). The ST-SMO provides robust position estimation by effectively handling uncertainties and external disturbances, enhancing the system's overall resilience. Meanwhile, the SOGI-PLL offers high-performance phase and frequency synchronization, ensuring accurate rotor position tracking even under varying operating conditions. By integrating these techniques, the proposed control scheme significantly improves the dynamic response and stability of the PMaSy RM, facilitating seamless operation in the light electric vehicle.

Authors

Institutions

Publication Details

Published
2025-02-10
DOI
https://doi.org/10.1109/tpec63981.2025.10906912
Citations
3
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
2.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A ST-SMO SOGI PLL and LUT Based Sensorless Vector Controlled PMaSyRM Drive for SPV-Battery Fed Light Electric Vehicle

Sukumar Kamalasadan, Krishna Murari, Sushant Kumar, Shashank Kurm et al.
3 citations
Electric and Hybrid Vehicle Technologies
2.05
article

A ST-SMO SOGI PLL and LUT Based Sensorless Vector Controlled PMaSyRM Drive for SPV-Battery Fed Light Electric Vehicle

Sukumar Kamalasadan, Krishna Murari, Sushant Kumar, Shashank Kurm, Md Shamim Hasan, Shailendra Kumar
article en
3 citations

Abstract

This paper presents a study on the integration of a solar photovoltaic (SPV) charging system with a permanent magnet-assisted synchronous reluctance motor (PMaSyRM) drive for light electric vehicle (LEV) applications. The SPV-powered battery charging system enables a fully green operation for the LEV, eliminating dependence on non-renewable energy sources. A bidirectional DC-DC converter (BDDC) is utilized to extend the LEV's range by capturing and storing energy during regenerative braking. The speed and torque control of the PMaSyRM is achieved using a lookup table (LUT)-based vector control strategy, which optimizes motor performance by adapting to inverter voltage and current constraints as well as variations in motor parameters. For vector control, rotor position information is required for transformation of currents. The rotor position estimation is achieved using a combination of a super-twisting sliding mode observer (ST-SMO) and a second-order generalized integrator phase-locked loop (SOGI-PLL). The ST-SMO provides robust position estimation by effectively handling uncertainties and external disturbances, enhancing the system's overall resilience. Meanwhile, the SOGI-PLL offers high-performance phase and frequency synchronization, ensuring accurate rotor position tracking even under varying operating conditions. By integrating these techniques, the proposed control scheme significantly improves the dynamic response and stability of the PMaSy RM, facilitating seamless operation in the light electric vehicle.

University of North Carolina at Charlotte (US), Indian Institute of Technology Bhilai (IN)
Affordable and clean energy
Openalex Percentile: Top 15%
Electric and Hybrid Vehicle Technologies
2.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.