Comparative Study of Electric Vehicle Propulsion Systems Using Field‐Oriented Controlled Dual PMSMs With Novel Control Strategies Based on an EPS Filter and a Fuzzy Logic Regulator for Enhanced Stability and Safety

ABSTRACT The growing demand for electric vehicles (EVs) has driven research into improving propulsion control systems, focusing on performance, efficiency, and safety. This study addresses a gap in advanced control systems for EV differentials and presents two solutions. First, an innovative electric power steering (EPS) filter algorithm is introduced, drawing inspiration from mechanical steering systems. Second, a newly designed fuzzy logic controller (FLC) is presented. This controller utilizes the vehicle's measured speed and turning angle to control dynamics and stability. These solutions aim to regulate speed and steering angle to enhance stability at high speeds, improve user comfort, and minimize the risk of sliding or overturning. To validate and compare these approaches, three propulsion control configurations for an EV with dual permanent magnet synchronous motors (PMSMs) using field‐oriented control (FOC) were simulated in MATLAB‐Simulink under a Federal Test Procedure (FTP 75) signal. These strategies include: (1) an EV without differential gears using a classical electric differential (CED), (2) an EV with the proposed EPS filter algorithm to regulate speed and steering angle, and (3) an EV incorporating a new fuzzy controller to improve stability and safety by controlling the driver‐input angle. Performance analysis focused on motor speed, torque, and differential speed. The CED setup served as a baseline, while the EPS filter was assessed for cornering stability, and the fuzzy controller for smoother torque distribution and reducing motor speed differences. This comparative study highlights the strengths and weaknesses of each strategy, offering insights into their impact on EV performance and stability. Results show that the EPS filter enhances cornering stability, while the fuzzy controller ensures smoother torque distribution and reduces motor speed differences. These contributions optimize EV propulsion systems, improving performance and safety.

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Publication Details

Journal
Energy Science & Engineering
Published
2026-06-29
DOI
https://doi.org/10.1002/ese3.70582
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparative Study of Electric Vehicle Propulsion Systems Using Field‐Oriented Controlled Dual PMSMs With Novel Control Strategies Based on an EPS Filter and a Fuzzy Logic Regulator for Enhanced Stability and Safety

Idriss Benlaloui, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Rachad Moumni et al.
Energy Science & Engineering
Vehicle Dynamics and Control Systems
article

Comparative Study of Electric Vehicle Propulsion Systems Using Field‐Oriented Controlled Dual PMSMs With Novel Control Strategies Based on an EPS Filter and a Fuzzy Logic Regulator for Enhanced Stability and Safety

Idriss Benlaloui, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Rachad Moumni, Amor Fezzani, Kouider Laroussi, Ezzeddine Touti, Vojtech Blazek
article en

Abstract

ABSTRACT The growing demand for electric vehicles (EVs) has driven research into improving propulsion control systems, focusing on performance, efficiency, and safety. This study addresses a gap in advanced control systems for EV differentials and presents two solutions. First, an innovative electric power steering (EPS) filter algorithm is introduced, drawing inspiration from mechanical steering systems. Second, a newly designed fuzzy logic controller (FLC) is presented. This controller utilizes the vehicle's measured speed and turning angle to control dynamics and stability. These solutions aim to regulate speed and steering angle to enhance stability at high speeds, improve user comfort, and minimize the risk of sliding or overturning. To validate and compare these approaches, three propulsion control configurations for an EV with dual permanent magnet synchronous motors (PMSMs) using field‐oriented control (FOC) were simulated in MATLAB‐Simulink under a Federal Test Procedure (FTP 75) signal. These strategies include: (1) an EV without differential gears using a classical electric differential (CED), (2) an EV with the proposed EPS filter algorithm to regulate speed and steering angle, and (3) an EV incorporating a new fuzzy controller to improve stability and safety by controlling the driver‐input angle. Performance analysis focused on motor speed, torque, and differential speed. The CED setup served as a baseline, while the EPS filter was assessed for cornering stability, and the fuzzy controller for smoother torque distribution and reducing motor speed differences. This comparative study highlights the strengths and weaknesses of each strategy, offering insights into their impact on EV performance and stability. Results show that the EPS filter enhances cornering stability, while the fuzzy controller ensures smoother torque distribution and reduces motor speed differences. These contributions optimize EV propulsion systems, improving performance and safety.

Energy Science & Engineering
Northern Border University (SA), Université de Yaoundé I (CM), VSB - Technical University of Ostrava (CZ), University of Batna 1 (DZ), Jadara University (JO), Ziane Achour University of Djelfa (DZ), Renewable Energy Development Center (DZ), National Advanced School of Public Works (CM)
European Commission, Northern Border University
Affordable and clean energy
Openalex Percentile: Top 11%
Vehicle Dynamics and Control Systems
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