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Abstract

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.

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Abbreviations

EESM:

Electrically or externally excited synchronous motor

GHG:

Greenhouse gas

FOC:

Field-oriented control

EV:

Electric vehicle

VSI:

Voltage source inverter

IHDC:

Indian highway drive cycle

WLTP:

Worldwide harmonized light vehicles test procedure

NEDC:

New european driving cycle

PMSM:

Permanent magnet synchronous motor

HFI:

High-frequency signal injection

EMI:

Electromagnetic interference

EKF:

Extended kalman filter

RWDC:

Real-world driving cycle

ICEV:

Internal combustion engine vehicle

ML:

Machine learning

SVPWM:

Space vector pulse width modulation

INR:

Indian rupees

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Funding

The research presented in this paper was conducted without any external funding.

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Correspondence to Yeddula Pedda Obulesu.

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We have no conflicts of interest to disclose. All authors declare that they have no conflicts of interest.

Appendix

Appendix

From the above Eqs. (1525), a program was developed using python to calculate the energy consumption, cost/km and range of the EV as given below.

Python Program to Analyse Energy Consumption.

figure a

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Paulraj, T., Obulesu, Y.P. Power and Energy Optimization in EV with Sensorless Externally Excited Synchronous Motor. Iran J Sci Technol Trans Electr Eng (2024). https://doi.org/10.1007/s40998-024-00714-0

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  • DOI: https://doi.org/10.1007/s40998-024-00714-0

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