Work

ASMO–Based SOC Estimation of PMSM Driven E-Mobility

Year: 2026

Type: conference-paper

Abstract: This paper presents a solar–battery-powered permanent magnet synchronous motor (PMSM) drive employing advanced observer-based speed and position estimation for efficient and reliable operation for E-mobility applications. The proposed sensorless drive system with improved SOC estimation technique provides a sustainable solution for EVs. An adaptive filter-based sliding-mode observer is used for accurate state-of-charge estimation of the battery, improving energy management and battery lifespan. In addition, a sliding-mode observer is implemented for precise rotor position and speed estimation, enabling robust PMSM control under varying environmental conditions. The integrated control techniques enhance stability and efficiency in the presence of uncertainties and disturbances. The effectiveness of the proposed system is validated through comprehensive simulation results.

Source: IEEE North-East India International Energy Conversion Conference and Exhibition (NE-IECCE)

DOI: 10.1109/ne-iecce69680.2026.11666097

Authors: Ranen Sen, Saurabh Shukla, Shakti Singh, Sridhar Joshi

Institutions: Termez Institute of Engineering and Technology, Maulana Azad National Institute of Technology

Language: English

Topic: Sensorless Control of Electric Motors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7204903249

FWCI:

Cites: 12

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Related to: 10