Nested FOPI and PI Controller Performance Comparison for Electric Vehicle Traction System

Electric Vehicles (EVs) are increasing in popularity due to climate change concerns, and pollution caused by fossil fuels across the globe. This stimulated advanced research in motor control algorithms for improving efficiency and performance of EVs. Induction Motors (IMs) are still the backbone of EVs drive systems due to their many qualities and cost effectiveness. This work investigates the use of nested Fractional-Order Proportional Integral (FOPI) and conventional integer order Proportional Integral (PI) controllers, and examines the effect of having these controllers in the inner and outer loops. Ziegler-Nichols (ZN) and Cohen-Coon (CC) rules are used for tuning the PI combinations on a prototype EV traction system consisting of an Indirect Field-Oriented Control (IFOC) based induction motor drive system. The speed regulation and power consumption for seven test cases with different combinations of FOPI, PI controllers used in these loops, are analyzed and compared. The findings of this research may help IM-based electric drives designers find an appropriate nested-configuration for the required applications when PI, FOPI controllers are involved.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3556174
Citations
5
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
3.41

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nested FOPI and PI Controller Performance Comparison for Electric Vehicle Traction System

Faris AtaAllah, Mazen Elsaadany, Muhammad Qasim Elahi, S. Mukhopadhyay et al.
5 citations
IEEE Access
Electric and Hybrid Vehicle Technologies
3.41
article

Nested FOPI and PI Controller Performance Comparison for Electric Vehicle Traction System

Faris AtaAllah, Mazen Elsaadany, Muhammad Qasim Elahi, S. Mukhopadhyay, Habibur Rehman
article en
5 citations

Abstract

Electric Vehicles (EVs) are increasing in popularity due to climate change concerns, and pollution caused by fossil fuels across the globe. This stimulated advanced research in motor control algorithms for improving efficiency and performance of EVs. Induction Motors (IMs) are still the backbone of EVs drive systems due to their many qualities and cost effectiveness. This work investigates the use of nested Fractional-Order Proportional Integral (FOPI) and conventional integer order Proportional Integral (PI) controllers, and examines the effect of having these controllers in the inner and outer loops. Ziegler-Nichols (ZN) and Cohen-Coon (CC) rules are used for tuning the PI combinations on a prototype EV traction system consisting of an Indirect Field-Oriented Control (IFOC) based induction motor drive system. The speed regulation and power consumption for seven test cases with different combinations of FOPI, PI controllers used in these loops, are analyzed and compared. The findings of this research may help IM-based electric drives designers find an appropriate nested-configuration for the required applications when PI, FOPI controllers are involved.

IEEE AccessVol. 13
University of Vermont (US), American University of Sharjah (AE), Purdue University West Lafayette (US), University of New Haven (US)
American University of Sharjah
Affordable and clean energy
Openalex Percentile: Top 8%
Electric and Hybrid Vehicle Technologies
3.41
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.

Nested FOPI and PI Controller Performance Comparison for Electric Vehicle Traction System — Faris AtaAllah, Mazen Elsaadany, et al. · IEEE Access (2025) | TGRS Research Map | TGRS