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Hicham Chaoui

Hicham Chaoui

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5400
World Ranking
4953
National Ranking
224

Overview

Hicham Chaoui is affiliated with Carleton University in Canada and specializes in the field of Engineering, with a focus on Electrical and Electronic Engineering, Automotive Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, and Energy Engineering and Power Technology.

Their research primarily covers topics related to advanced battery technologies, electric and hybrid vehicle technologies, electric vehicles and infrastructure, fuel cells and related materials, electric motor design and analysis, sensorless control of electric motors, and microgrid control and optimization.

Frequent publication venues for Hicham Chaoui include IEEE Access, IEEE Transactions on Vehicular Technology, Energies, Batteries, and Actuators.

Recent papers authored or co-authored by Chaoui demonstrate a strong concentration on battery technologies and electric vehicles:

  • Remaining Useful Life Assessment for Lithium-Ion Batteries Using CNN-LSTM-DNN Hybrid Method, 2021, IEEE Transactions on Vehicular Technology
  • State of health estimation and remaining useful life assessment of lithium-ion batteries: A comparative study, 2022, Journal of Energy Storage
  • Energy management strategy for fuel cell vehicles via soft actor-critic-based deep reinforcement learning considering powertrain thermal and durability characteristics, 2023, Energy Conversion and Management
  • Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles, 2023, Machines
  • Lithium-Ion Batteries Long Horizon Health Prognostic Using Machine Learning, 2021, IEEE Transactions on Energy Conversion

Collaborations have been a significant aspect of Chaoui's research, with frequent co-authors including Mohamad Alzayed, Hamid Gualous, Mohsen Kandidayeni, Loïc Boulon, and Safieh Bamati.

Their work in advanced battery technologies integrates approaches such as machine learning and hybrid modeling methods to improve state of health and longevity estimations. Research also explores energy management strategies for fuel cell vehicles and diagnostic techniques for electric motor drives, focusing on improving accuracy and efficiency of electric vehicle systems.

Hicham Chaoui's publications reflect an interdisciplinary approach within the engineering domain, addressing both theoretical and applied aspects of electric and hybrid vehicle technologies and energy storage systems.

Best Publications

  • State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

    Hicham Chaoui;Chinemerem Christopher Ibe-Ekeocha

  • Adaptive Fuzzy Logic Control of Permanent Magnet Synchronous Machines With Nonlinear Friction

    Hicham Chaoui;P. Sicard

  • Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries

    Hicham Chaoui;Navid Golbon;Imad Hmouz;Ridha Souissi

  • Lithium-Ion Batteries Health Prognosis Considering Aging Conditions

    Asmae El Mejdoubi;Hicham Chaoui;Hamid Gualous;Peter Van Den Bossche

  • State-of-Charge and State-of-Health Lithium-Ion Batteries’ Diagnosis According to Surface Temperature Variation

    Asmae El Mejdoubi;Amrane Oukaour;Hicham Chaoui;Hamid Gualous

  • ANN-Based Adaptive Control of Robotic Manipulators With Friction and Joint Elasticity

    H. Chaoui;P. Sicard;W. Gueaieb

  • Aging prediction and state of charge estimation of a LiFePO 4 battery using input time-delayed neural networks

    Hicham Chaoui;Chinemerem C. Ibe-Ekeocha;Hamid Gualous

  • An Adaptive State Machine Based Energy Management Strategy for a Multi-Stack Fuel Cell Hybrid Electric Vehicle

    Alvaro Macias Fernandez;Mohsen Kandidayeni;Loic Boulon;Hicham Chaoui

  • Adaptive Interval Type-2 Fuzzy Logic Control for PMSM Drives With a Modified Reference Frame

    Hicham Chaoui;Mehdy Khayamy;Abdullah Abdulaziz Aljarboua

  • Type-2 Fuzzy Logic Control of a Flexible-Joint Manipulator

    Hicham Chaoui;Wail Gueaieb

  • Overview and benchmark analysis of fuel cell parameters estimation for energy management purposes

    M. Kandidayeni;A. Macias;A.A. Amamou;L. Boulon

  • Remaining Useful Life Prognosis of Supercapacitors Under Temperature and Voltage Aging Conditions

    Asmae El Mejdoubi;Hicham Chaoui;Jalal Sabor;Hamid Gualous

  • Higher Order Sliding-Mode Observers for State-of-Charge and State-of-Health Estimation of Lithium-Ion Batteries

    Unknown

  • An Online Energy Management Strategy for a Fuel Cell/Battery Vehicle Considering the Driving Pattern and Performance Drift Impacts

    Mohsen Kandidayeni;Alvaro Omar Macias Fernandez;Arash Khalatbarisoltani;Loic Boulon

  • Current Sensorless MTPA Operation of Interior PMSM Drives for Vehicular Applications

    Mehdy Khayamy;Hicham Chaoui

  • Online Parameter Identification for Supercapacitor State-of-Health Diagnosis for Vehicular Applications

    Asmae El Mejdoubi;Hicham Chaoui;Hamid Gualous;Jalal Sabor

  • Twin Delayed Deep Deterministic Policy Gradient (TD3) Based Virtual Inertia Control for Inverter-Interfacing DGs in Microgrids

    Unknown

  • Optimal Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Based on Decision-Making Framework

    Huan Li;Yang Zhou;Hamid Gualous;Hicham Chaoui

  • Maximum Power Tracking for a Wind Energy Conversion System Using Cascade-Forward Neural Networks

    Mohamad Alzayed;Hicham Chaoui;Yashar Farajpour

  • Four-phase interleaved DC/DC boost converter interfaces for super-capacitors in electric vehicle application based onadvanced sliding mode control design

    Y. Ayoubi;M. Elsied;A. Oukaour;Hicham Chaoui

  • Online parameter and state estimation of lithium-ion batteries under temperature effects

    Hicham Chaoui;Hamid Gualous

  • Online Supercapacitor Diagnosis for Electric Vehicle Applications

    Asmae El Mejdoubi;Amrane Oukaour;Hicham Chaoui;Youssef Slamani

  • CMOS analogue adder

    H. Chaoui

  • Adaptive RBF Network Based Direct Voltage Control for Interior PMSM Based Vehicles

    Hicham Chaoui;Mehdy Khayamy;Okezie Okoye

Frequent Co-Authors

Hamid Gualous
Hamid Gualous Université de Caen Normandie
Noshin Omar
Noshin Omar Vrije Universiteit Brussel
Daniel Hissel
Daniel Hissel University of Franche-Comté
Mohamed Benbouzid
Mohamed Benbouzid University of Western Brittany
Joeri Van Mierlo
Joeri Van Mierlo Vrije Universiteit Brussel
Osama A. Mohammed
Osama A. Mohammed Florida International University
Mohamad Sawan
Mohamad Sawan Polytechnique Montréal
Josep M. Guerrero
Josep M. Guerrero Universitat Politècnica de Catalunya

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