Skip to main content

Centre for Mechatronics and Hybrid Technologies

A world class Research and Development Centre focused on advanced automotive technology.   CMHT utilizes a state-of-the-art research facility exploring Autonomous driving, Connected vehicles, Electrification, and Shared mobility (ACES) solutions in the automotive world. 

Video: 

RESEARCH AREAS:

  • Fault detection, diagnosis and prognosis
  • Hybrid/electric powertrain development
  • Electric battery testing, modeling and characterization
  • Autonomous driving: tracking & control
  • Estimation and cognitive control
  • Signal processing and filtering
  • Fluid power and hydraulics
  • Internal combustion engine modelling
  • Electric motor testing and characterization
  • Optimization and trade-off analysis

 

Research Facilities

CMHT's research utilizes the state of the art testing facilities located at McMaster Automotive Resource Centre (MARC). Specializing in collaborative research projects with automotive OEM's and Tier One's, CMHT's researchers work at CMHT and in our partners' facilities.

Test Laboratories:

AVL DynoTK 250 Dynamometer

  • 250kW Max Power
  • 500Nm Max Torque
  • 22,000 rpm Max Speed
  • Maximum Acceleration 60,000 rpm/sec

AVL Puma Open Control System

  • CAN communication up to 1000 Hz
  • EMCON 400 Test rig controller
  • Torque Measurement (up to 1kN, 0.05% accuracy)
  • 16 high voltage analog inputs (1000V)
  • 32 general purpose analog inputs (10V, 20mA, Thermocouple, RTD...)

AVL In-motion Simulation System

DC power up to 1000V, up to 800A

Various test inverters available to support custom E-motors

20kW fluid conditioning system

Horiba Dynas3 HT 250 Dynamometer

 

  •  250kW Max Power
  • 718 Nm Max Torque
  • 10,000 rpm Max Speed

Horiba STARS Control System

  • CAN communication up to 1000 Hz
  • SPARCe Test rig controller
  • Torque Measurement (up to 2kN, 0.05% accuracy)
  • 32 general purpose analog inputs (10V, 20mA, Thermocouple, RTD...)
  • 16 general purpose pressure inputs (various ranges)

Emissions Bench

Engine Coolant Temperature Conditioning System (200kW)

Engine Oil Temperature Conditioning System (40kW)

Miriam LFE intake airflow measurement system

Positive displacement volumetric fuel measurement system with on-line density meter

 

Mustang Dynamometer Chassis Dynamometer

  • Duel 218 mm (8.575”) Roller
  • Max speed 100 mph, 125mph transient
  • Max 268 hp absorption
  • 30” to 100” track width
  • 6000 lb max axle weight
  • 2000 lb mechanical inertia
 
Input Dynamometer:
  
 
 
 
 
  • Maximum Speed: 8000 RPM
  • Maximum Torque: 1003 Nm (0 to 2000 RPM)
  • Maximum Power: 210 kW (2000 to 8000 RPM)
  • Overload capability

Digatron MCT

  • 8X75A max channels - can be combined in parallel for up to 600A
  • 0-5V

Custom Built Tester with EIS:

  • one channel up to 125A
  • 0-5V
  • EIS - 10kHz to 1mHz
  • Data Acquisition to 50kHz

 

D&V Electronics BST 240 Battery Pack Tester:

2 Independent Channels:

  • Max Current 400A/channel
  • Max Voltage 600V/channel
  • Max Power 120kW/channel

Two Channels in Parallel:

  • Max current 800A
  • Max Voltage 600V
  • Max Power 240kW

Two Channels in Series:

  • Max current 400A
  • Max Voltage 1000V
  • Max Power 240kW

 HIgh speed switch mode - channel switching in ~100usec:

  • Max current 400A
  • Max Voltage 600V
  • Max Power 120kW

 

One 8 cubic feet Thermal Chamber -63 to +177°C

One 16 cubic feet Thermal Chamber -30 to 177°C

Thermotron SE3000 Environmental Chamber

  • 3000l (100 cubic feet) capacity
  • 70°C to +180°C (-94°F to +365°F)

Dual Servo-motor/pumps

Dual piston hydraulic cylinder with linear encoder

Simulation for leakage and friction faults

Yokogawa WT1800 Power Meter

General purpose scopes, meters etc.

Vehicle hoist

Service Tools

Snap-on SOLUS ULTRA scan tool

dSPACE Micro Auto Box

Intrepid Controls NeoVI Fire/Vehicle Spy CAN Interface

Velodyne HDL32E Lidar

Delphi Electronically Scanning Radar

Princeton Applied Research Potentiostat/Galvanostat

 

Research

The Centre’s activities fall into six main areas:

People

Our World-Class researchers-

Faculty

Research Team

 

 
Ryan Ahmed, Postdoctoral Fellow 
 
Biography: Dr. Ryan holds a doctorate degree in Mechanical Engineering, with focus on Mechatronics and Battery Management Systems from McMaster University. He received a Master’s degree in Mechanical Engineering from McMaster, with specialization in artificial intelligence and engine fault detection. Dr. Ryan has taught several courses on management and control of electric vehicles at McMaster University and at the educational EV/HEV boot camp at the IEEE Transportation Electrification Conference and Expo (iTEC 2015) in MI, USA. He is a Stanford Certified Project Manager (SCPM), certified Professional Engineer (P.Eng.) in Ontario, a member of the Society of Automotive Engineers (SAE), and a member of the Institute of Electrical and Electronics Engineers (IEEE).
 
Research Interests: Hybrid technology, battery modeling and condition monitoring, state and parameter estimation, fault detection and diagnosis, artificial intelligence, variable structure systems theory, intelligent and multivariate control, actuation systems, optimization, and fluid power and hydraulics

 

Mahmoud Ismail, Ph.D. 
 
Biography: Mahmoud obtained his BSc in Mechanical Engineering from Ain-Shams University, Egypt in 2010. He worked in academia as a TA and RA in Ain-Shams University, Egypt from 2010 to 2011. Mahmoud moved to industry to work for Procter & Gamble from 2011 to 2013. Afterward he joined CMHT to complete his MSc in Mechanical Engineering from 2013 to 2015 at McMaster University, Canada. Since the completion of his MSc degree, Mahmoud worked full time  as a research engineer at D&V Electronics and pursued his part time PhD which he completed in 2018.
 
Research Interests: Fault detection and diagnosis systems, signal processing, artificial intelligence algorithms, control theory, mechatronics systems, Deep-Learning, optimization algorithms

 

Yixin (Elliott) Huangfu, Ph.D. Student
 
Biography: Elliott is working towards his Ph.D. degree at McMaster University, Canada. He received his B.Eng. degree from Wuhan University of Technology, China in 2011, and his M.A.Sc. degree in Mechanical Engineering from Beijing Institute of Technology, China in 2014. Later he worked on the hybrid electric project as a vehicle control engineer in Ford Motor Research and Engineering (Nanjing) Company for three years. In 2017, he started his Ph.D. in Canada at CMHT exploring intelligent systems with machine learning and with applications such as self-driving vehicles and software defect diagnosis.
  
Research Interests: Machine learning, neural networks, autonomous driving, object detection and tracking, system log analysis, fault detection and diagnosis, and hybrid electric vehicle systems

 

Ash (Chang) Liu, Ph.D. Student
 
Biography: Ash received his B.Eng. degree in Mechatronics Engineering from McMaster University, Canada in 2015. He is currently working towards his Ph.D.  degree in Software Engineering at CMHT. His current primary research includes real-time implementation of vehicle perception with information fusion from multiple sensor systems and algorithms design.
  
Research Interests: Image processing, intelligent systems, information fusion, optimal control, and neural networks

 

Marvin Messing, Ph.D. Student
 
Biography: Marvin holds a B.Eng. degree with a minor in Computer Science from the University of Victoria and a M.A.Sc. with a Technology Commercialization Certificate from Simon Fraser University. He has over 5 years of academic and industry experience working on fuel cells and batteries. He is currently a Ph.D. candidate at the Centre for Mechatronics and Hybrid Technologies at McMaster University conducting research in battery modelling for electric vehicles in collaboration with industry partners.
  
Research Interests: Battery modeling, electrochemical impedance spectroscopy, battery aging, state estimation, optimization, artificial intelligence, fuel cell durability modelling, lab automation

 

Sara Rahimifard, Ph.D. Student
 
Biography: Sara is a Ph.D. candidate at McMaster University. Originally from Iran, Sara holds a B.Sc. from Shiraz University in Electrical Engineering in 2012 and a M.A.Sc. in Control Engineering from Amirkabir University of Technology in 2015. After completing her Master's degree, Sara spent more than two years working as a research engineer at SAIPA, the second largest auto-manufacturer in Iran. In May 2018, Sara joined the Centre for Mechatronics and Hybrid Technologies as a graduate research assistant. In 2019 she spent seven months working at the National Research Council Canada (NRC) where she furthered her work on battery systems.
  
Research Interests: Electric and hybrid technologies, Battery Management System, Battery Modelling, Estimation Theory, Control Theory

 

Edgar Armando Vazquez Rodrigez, Ph.D. Student
 
Biography: Edgar obtained his B.Eng. in Electronic Engineering from Matamoros Institute of Technology in 2016 and later his M.A.Sc. in Electronic Engineering from Celaya Institute of Technology in 2019. He joined the Centre for Mechatronics and Hybrid Technologies in January 2020 as a Ph.D. working with the Fault Detection and Diagnosis Team.
  
Research Interests: Electronic systems, control theory,  power electronics, electric vehicles, autonomous vehicles, renewable, alternative and green energies, electric motors, fault detection, digital signal processing, artificial intelligence, machine learning.

 

Ahsan Saeedzadeh, Ph.D. Student
 
Biography: Ahsan receieved both his B.Sc. and M.A.Sc. degrees in Mechanical Engineering at Amirkabir University of Technology in Tehran. He joined the Centre for Mechatronics and Hybrid Technologies team at the McMaster Automotive Resource Centre in September 2019. His Ph.D. research involves modelling, identification, state estimation and fault detection of EHA systems.
 
Research Interests: Control System Identification, Actuators, Fault Detection

 

Ahmed Salem, Ph.D. Student
 
Biography: Ahmed obtained his B.Sc. and M.A.Sc. degrees in Electrical Engineering from Alexandria University, Egypt, in 2014 and 2018.  He is currently a Ph.D. student with the department of Electrical and Computer Engineering at McMaster University since May 2018. He joined the CMHT team as part of the E-Motor group for the EECOMOBILITY project.
 
Research Interests: Power Electronics and Electric Drives in Electrified Transportation Applications

 

Essam Seddik, Ph.D. Student
 
Biography: Essam obtained his bachelor and master's degrees in Mechatronics Engineering from the Arab Academy for Science, Technology and Maritime Transport (AASTMT) University in Egypt. He joined the CMHT team at McMaster Automotive Resource Centre in 2014 and earned an additional M.A.Sc. in Artificial Intelligence in 2016. Essam started his part-time Ph.D. in 2016 while completing a 6 month internship through NSERC followed by 2 years of employment as a Big Data Scientist in the connected-vehicles industry.  He is currently a Research Engineer and Ph.D. student at CMHT and a Teaching Assistant with the department of Mechanical Engineering at McMaster University.
 
Thesis Title: Fault Prediction of Automotive Spark Plugs using Deep Learning Techniques
 
Research Interests: Artificial Intelligence in Automotive applications, Fault Diagnosis, Fault Prognosis

 

Salman Akhtar, M.A.Sc. Student
 
Biography: Salman received his B.Eng in Electrical Engineering from McMaster University in 2019. During his undergraduate studies, he worked as a research engineer for a 1 year internship (May 2018 to April 2019) with the Department of National Defense in Ottawa, ON. Salman joined the Centre for Mechatronics and Hybrid Technologies in January 2020 as a Masters student. His research is focused on estimation theory and target-tracking within the autonomous vehicles team.
   
Research Interests: Signal processing, state and parameter estimation, target-tracking, control systems, self-driving cars, sensor fusion and machine learning.

Ruiwen (Raven) Chen, M.A.Sc. Student
 
Biography: Raven is a Masters student in Mechanical Engineering at McMaster University. He obtained his B. Eng. degree from Tianjin University, China in 2014. Then he worked at Volkswagen China as a product engineer in August 2018. Raven joined the CMHT team in September 2018. He also worked as a co-op student during the Fall term for 2019 at Dana Canada Corporation, where he learned industrial cooling methods for vehicles. His Masters research involves battery pack design and thermal analysis.
   
Research Interests: Battery pack design, battery testing, battery thermal modelling, cooling systems design.

Rioch D'lyma, M.A.Sc. Student
 
Biography: Rioch D’lyma obtained his Bachelor of Technology in Automotive & Vehicle Technology at McMaster University in 2015. He worked as a co-op student for 2 placements, for a total of a year, at D&V Electronics. He joined the CMHT team as a Masters student and Research Assistant in 2015. Rioch is also perusing his P.Eng and is currently an Engineering Intern (EIT)
  
Thesis Title:  Battery Model Parameterization using Multi-Object Optimization
 
Research Interests: Battery modeling, optimization, neural networks, and internet of things

 

Jiahong Dong, M.A.Sc. Student
 
Biography:  Jiahong Dong obtained his B.Eng.Mgt degree in Software Engineering and Management from McMaster University, Hamilton, Ontario, Canada in 2019. He is currently working toward his Master’s degree in Software Engineering at McMaster Automotive Resource Centre with the CMHT lab. Along with his study, he is also working as a research assistant and teaching assistant for various software engineering courses at McMaster University. Jiahong is part of the autonomous vehicle team and his research focuses on infrared camera object detection and classification for autonomous vehicles, attacking deep neural networks with adversarial examples, sensor fusion, and database development.
  
Research Interests: Machine learning, artificial neural network, computer vision.

Yujie Hu, M.A.Sc. Student
 
Biography: Yujie obtained her B.Eng. degree in Mechanical Engineering from McMaster University in 2018 and began to pursue her M.A.Sc degree at the Centre for Mechatronics and Hybrid Technologies (CMHT) in 2019. She is working with the autonomous vehicle team and her research focuses on the application of vision system. Her research includes object detection, license plate recognition and lane detection using deep learning algorithms.
  
Research Interests: Autonomous driving, computer vision, control system, sensor fusion, machine learning, deep learning algorithms

Christina Riczu, M.A.Sc. Student
 
Biography: Christina obtained her B.Eng. in Electrical and Biomedical Engineering at McMaster University in 2017. Her work on the McMaster EcoCAR team during her degree ignited a passion for the automotive industry that she simply could not ignore. She began pursuing her M.A.Sc. in Electrical and Computer Engineering under the supervision of Dr. Bauman and Dr. Habibi in 2017. Her research is on electric vehicle battery packs with a focus on battery management systems and cell balancing techniques.
 
Research Interests: Electric and hybrid vehicles, battery pack design, cell balancing techniques, battery management systems, vehicle modelling

 

Prerak Shah, M.A.Sc. Student
 
Biography: Prerak received his B. Eng. in Mechanical Engineering from the University of Guelph in 2019. He spent a year working as a Process Controls Designer at Zeton Inc., a Burlington-based pilot plant manufacturer, and joined the CMHT Autonomous Vehicles Team in September 2020. Prerak is currently working towards his Masters degree at McMaster University, and will be researching LiDAR-based object detection and classification methods for various applications.  
 
Research Interests: Autonomous driving, Computer Vision, LiDAR, sensor-fusion, AI/Machine learning

 

Abdel Rahman Tawakol, M.A.Sc. Student
 
Biography: Abdel obtained his B.Eng.Mgt. in Mechatronics Engineering and Management from McMaster University, Canada in 2017. He joined the battery group at CMHT in September 2017 and his research is in the area of battery impedance characterization and modelling. As part of his degree, Abdel worked as a Research Engineer at D&V Electronics where he was involved in the development of a state-of-the-art, integrated battery cell tester. Abdel's research work is focused on characterizing the performance of a cell under various operating conditions including temperature, State of Charge (SOC) and C-rate, as well as how the impedance of the cell is affected under these conditions.
 
Research Interests: Battery modelling, Electrochemical Impedance Spectroscopy (EIS), battery testing and characterization

 

Lesley Wheat, M.A.Sc. Student
 
Biography: Lesley received her B.Eng. degree in Mechatronics Engineering from McMaster University, Canada in 2020. She joined the Fault Diagnostics group at CMHT after graduation and is currently working towards her Masters degree in Software Engineering under the supervision of Dr. Habibi and Dr. Mohrenschildt. Her research focuses on data acquisition technology and data processing.
 
Research Interests: Signal Processing, Electronics Systems, Machine Learning, Fault Detection and Diagnosis Systems

 

 

Former Graduate Students

Doyi Joo, M.A.Sc. (2020), Thesis Title: Feature Extraction and Machine Learning Classifier Development for Fault Detection and Diagnosis

Mehdi Sadeghkazemi, M. A. Sc. (2019), Thesis Title: Evaluation of Spark Plug Technologies in Spark Ignition Engines by Pareto Front Optimization

Benjamin Miethig, M.A.Sc. (2019), Thesis Title: Convolutional Neural Network Detection and Classification System Using an Infrared Camera and Image Detection Uncertainty Estimation

Ahmed Doghri, M.A.Sc. (2019), Thesis Title:  A Real Time Fault Detection and Diagnosis System for Automotive Applications

Mahmoud Ismail, Ph.D. (2018), Thesis Title: Estimation Strategies for Training of Deep Learning Neural Networks

Zhongzhen Luo, Ph.D. (2017), Thesis Title: LiDAR Based Perception System: Pioneer Technology for Safety Driving

Min Xu, M.A.Sc. (2017), Thesis Title: Hybrid Electric Vehicle Powertrain Laboratory

Sean Hodgins, M.A.Sc. (2017), Thesis Title: A Wireless Sensor for Fault Detection and Diagnosis of Internal Combustion Engines

Mohammed Farag, Ph.D. (2017), Thesis Title: Thermal-Electrochemical Modeling and State of Charge Estimation for Lithium-Ion Batteries in Real-Time Applications

Essam Seddik, M.A.Sc. (2016), Thesis Title: Fault Detection and Identification of Vehicle Starters and Alternators Using Machine Learning Techniques

Mohammad Zeiaee, M.A.Sc. (2016), Thesis Title: An Intelligent Cell-Level Battery/Ultracapacitor Hybrid

Mina Attari, Ph.D. (2016), Thesis Title: SVSF (Smooth Variable Structure Filter) Estimation for Target Tracking with Measurement Origin Uncertainty

Ali Delbari, M.A.Sc. (2016), Thesis Title: Design and Implementation of a Lithium-ion Cell Tester Capable of Obtaining High Frequency Characteristics

Yifei Feng, M.A.Sc. (2016), Thesis Title: Fault Detection and Diagnosis of an Internal Combustion Engine

Xiang Hu, M.A.Sc. (2015), Thesis Title : Electro-Hydrostatic Actuator (EHA) Position Tracking and Correction

Mahmoud Ismail, M.A.Sc. (2015), Thesis Title : Industrial Extended Multi-Scale Principle Components Analysis for Fault Detection and Diagnosis of Car Alternators and Starters

Ryan Ahmed, Ph.D. (2014), Thesis Title: Modeling and State of Charge Estimation of Electric Vehicle Batteries

Hamed Afshari, Ph.D. (2014), Thesis Title: The 2nd-Order Smooth Variable Structure Filter (2nd-SVSF) for State Estimation: Theory and Applications

Mohammed Farag, M.A.Sc. (2013), Thesis Title: Lithium-Ion Batteries: Modelling and State of Charge Estimation

Reza Haghshenas, M.A.Sc. (2013), Thesis Title : Multiresolution-Multivariable Analysis of Vibration Signals; Applications in Fault Diagnosis of Internal Combustion Engines

Dhafar Al-Ani, Ph.D. (2012), Thesis Title: Energy Optimization Strategy for System-Operational Problems

Yu Song, M.A.Sc. (2012), Thesis Title : Electro-hydrostatic Actuator Fault Detection and Diagnosis

Mohammed El-Sayed, Ph.D. (2012), Thesis Title : Multiple Inner-Loop Control of an Electro-Hydrostatic Actuator

Wanlin Zhang, M.A.Sc. (2012), Thesis Title : A Fault Detection and Diagnosis Strategy for Permanent Magnet Brushless DC Motor

Shenjin Zhu, M.A.Sc. (2011), Thesis Title: Modeling, System Identification and Control of A Belt Drive System

Andrew Gadsden, Ph.D. (2011), Thesis Title: Smooth Variable Structure Filtering: Theory and Application

Jeffrey Sylvester, M.A.Sc. (2011), Thesis Title: Characterization and Modeling of Rubbing Friction in a Motored Four-Cylinder Internal Combustion Engine

Kevin McCullough, M.A.Sc. (2011), Thesis Title: Design and Characterization of a Dual Electro-Hydrostatic Actuator

Mohammad Al-Shabi, Ph.D. (2011), Thesis Title: The General Toeplitz/Observability Smooth Variable Structure Filter

Ryan Ahmed, M.A.Sc. (2011), Thesis Title: Training of Neural Networks Using the Smooth Variable Structure Filter with Application to Fault Detection

Publications

Journal Papers

  1. L. V. Iyer, C. Lai, H. Dhulipati, S. Mukundan, K. Mukherjee, J. Tjong, and N. C. Kar, A Novel MTPA Theory Based Bottom-up Approach Towards Parametric and Structural Design of Interior PMSM for Electric Vehicles, International Transactions of Electrical Energy Systems, vol. 28, no. 2, e2489, 2018.
  2. M. Farag, M. Attari, S. A. Gadsden, and S. Habibi, Lithium-Ion Battery State of Charge Estimation Using One State Hysteresis Model with Nonlinear Estimation Strategies, International Journal of Materials and Metallurgical Engineering, Vol. 11, no. 3, pp. 237-241, 2017.
  3. M. Attari, S. A. Gadsden and S. Habibi, Target Tracking Formulation of the SVSF with Data Association Techniques, IEEE Transactions on Aerospace and Electronic Systems, vol. 53, no. 1, pp. 12-25, Feb 2017.
  4. M. Attari, Z. Luo, and S. Habibi, An SVSF-Based Generalized Robust Strategy for Target Tracking in Clutter, IEEE Transactions on Intelligent Transportation, Vol. 17, no. 5, pp. 1381-1392, May 2016.
  5. H. H. Afshari, D. Al-Ani, and S. Habibi, A New Adaptive Control Scheme Based on the Interacting Multiple Model (IMM) Estimation, Journal of Mechanical Science and Technology Springer Publications, Vol. 30, No. 6, 2759-2767, 2016.
  6. R. Ahmed, M. El Sayed, S. A. Gadsden, S. Habibi, and J. Tjong, Artificial Neural Network Training Utilizing the Smooth Variable Structure Filter Estimation Strategy, Neural Comput & Applic (2016) 27: 537. doi:10.1007/s00521-015-1875-2.
  7. R. Ahmed, M. El-Sayed, S. A. Gadsden, J. Tjong, and S. Habibi, Automotive internal-combustion-engine fault detection and classification using artificial neural network techniques, IEEE Transactions of Vehicular Technology, Vol 64, No. 1, 2015.
  8. R. Ahmed, J. Gazzarri, S. Onori, S. Habibi et al., Model-Based Parameter Identification of Healthy and Aged Li-ion Batteries for Electric Vehicle Applications, SAE Int. J. Alt. Power. 4(2):233-247, 2015, doi:10.4271/2015-01-0252.
  9. H. H. Afshari, S. A. Gadsden, and S. Habibi, Robust Fault Diagnosis of an Electro-Hydrostatic Actuator Using the Novel Optimal Second-Order SVSF and IMM Strategies, International Journal of Fluid Power, Vol. 15, No. 3, 181-196, 2014.
  10. R. Ahmed, M. El Sayed, I. Arasaratnam, J. Tjong, and S. Habibi, Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries. Part I: Parameterization Model Development for Healthy Batteries, IEEE Journal of Emerging Technologies, Special Issue on Transportation and Electrification, Vol.2, No. 3, 2014.
  11. R. Ahmed, El Sayed, I. Arasaratnam, J. Tjong, and S. Habibi, Reduced-Order Electrochemical Model Parameters Identification and SOC Estimation for Healthy and Aged Li-Ion Batteries. Part II: Aged Battery Model and State of Charge Estimation, IEEE Journal of Emerging Technologies, Special Issue on Transportation and Electrification, Vol.2, No. 3, 2014.
  12. S. A. Gadsden, S. Habibi, and T. Kirubarajan, Kalman and Smooth Variable Structure Filters for Robust Estimation, IEEE Transactions on Aerospace and Electronic Systems, Vol. 50, No. 2, April 2014.
  13. S. A. Gadsden, M. Al-Shabi, I. Arasaratnam, and S. Habibi, Combined Cubature Kalman and Smooth Variable Structure Filtering: A Robust Estimation Strategy, Signal Processing, Vol. 96, Part B, March 2014.
  14. S. A. Gadsden, Y. Song, and S. Habibi, Novel Model-Based Estimators for the Purposes of Fault Detection and Diagnosis, IEEE/ASME Transactions on Mechatronics, Vol. 18, No. 4, August 2013.
  15. S. A. Gadsden and S. Habibi, Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle, Journal of Energy and Power Engineering, Vol. 7, No. 7, July 2013.
  16. M. Al-Shabi, S. A. Gadsden, and S. Habibi, Kalman Filtering Strategies Utilizing the Chattering Effects of the Smooth Variable Structure Filter, Signal Processing, Vol. 93, No. 2, February 2013.
  17. S. A. Gadsden and S. Habibi, A New Robust Filtering Strategy for Linear Systems, ASME Journal of Dynamic Systems, Measurements and Control, Vol. 135, No. 1, January 2013.
  18. S. A. Gadsden, D. Dunne, S. Habibi, and T. Kirubarajan, Nonlinear Estimation Techniques Applied on Target Tracking Problems, ASME Journal of Dynamic Systems, Measurements and Control, Vol. 134, No. 5, September 2012.
  19. S. A. Gadsden, S. Habibi, and T. Kirubarajan, The Smooth Particle Variable Structure Filter, Transactions of the Canadian Society for Mechanical Engineering, Vol. 36, No. 2, June 2012.
  20. S. A. Gadsden, M. Al-Shabi, and S. Habibi, Estimation Strategies for the Condition Monitoring of a Battery System in a Hybrid Electric Vehicle, ISRN Signal Processing, February 2011.
  21. M. El Sayed and S. R. Habibi, Inner-Loop Control for Electro-Hydraulic Actuation (EHA) Systems, ASME Journal of Dynamic Systems, Measurement and Control, Vol. 134, No. 1, 2011.
  22. M. Al-Shabi and S. R. Habibi, Iterative Smooth Variable Structure Filter for Parameter Estimation, ISRN Signal Processing, Vol. 2011, Article ID 725108, 2011.

Conference Papers

  1. B. Miethig, A. Liu, S. Habibi, M. Von Mohrenschildt, Leveraging Thermal Imaging for Autonomous Driving, 2019 IEEE Transportation Electrification Conference and Expo (ITEC), Detroit, MI, pp. 1-5, 2019.
    Data Set: Labelled Thermal Data
  2. H. Dhulipati, S. Mukundan, W. Li, J. Tjong, and N. C. Kar, Investigation of Phase Angle Displacements in Six-Phase PMSM with Concentrated Windings for Reduced MMF Haromincs, 2018 21st International Conference on Electrical Machines and Systems (ICEMS), pp. 308-313, 2018.
  3. Z. Li, G. Feng, C. Lai, D. Banerjee, W. Li, and N. C. Kar, Investigation of on-Line Parameter Estimation for Interior PMSMs Considering Current Injection and Machine Operating Conditions, 2018 21st International Conference on Electrical Machines and Systems (ICEMS), pp. 1395-1400, 2018.
  4. S. Mukundan, H. Dhulipati, J. Tjong, and N. C. Kar, Parameter Determination of PMSM using Coupled Electromagnetic and Thermal Model Incorporating Current Harmonics, 2018 IEEE International Magnetics Conference (INTERMAG), Singapore, 2018.
  5. Y. He, M. Mehdi, E. J. Hilinski, A. Edrisy, S. Mukundan, A. Mollaeian, and N. C. Kar, Evaluation of Local Anisotropy of Magnetic Response from Nonoriented Electrical Steel by Magnetic Barkhausen Noise, 2018 IEEE International Magnetics Conference (INTERMAG), Singapore, 2018.
  6. H. Dhulipati, E. Ghosh, S. Mukundan, J. Tjong, and N. C. Kar, Adagrad Algorithm based on Optimal Slot-pole Selection for Reduced Inductance Harmonics in Concentrated Wound Multiphase PMSM, 2018 IEEE International Magnetics Conference (INTERMAG), Singapore, 2018.
  7. P. Korta, L. V. Iyer, C. Lai, K. Mukherjee, J. Tjong, and N. C. Kar, A novel hybrid approach towards drive-cycle based design and optimization of a fractional slot concentrated winding SPMSM for BEVs, 2017 IEEE Energy Conversion Congress and Exposition (ECCE), Cincinnati, OH, pp. 2086-2092, 2017.
  8. M. Ismail, R. Dlyma, A. Elrakaybi, R. Ahmed, and S. Habibi, Battery State of Charge Estimation Using an Artificial Neural Network, 2017 IEEE Transportation Electrification Conference and Expo (ITEC), Chicago, IL, pp. 342-349, 2017.
  9. H. Dhulipati, K. L. Iyer, S. Mukundan, K. MUkherjee, J. Tjong, N. C. Kar, Investigation of 6-Phase Surface PM Machines with Concentrated Windings for Reduction in Space Harmonics, Leakage Inductance and Magnet Loss in Direct-Drive EV, 2016 XXVII International Conference on Electrical Machines (ICEM), pp. 811-817, 2016.
  10. H. H. Afshari, R. Ahmed, M. Farag, and S. Habibi, Dynamic Analysis of a Li-Iron Phosphate Cell Using the Electro-Chemical Modelling Approach, 2016 ITEC/IEEE Transportation Electrification Conference and Expo, Dearborn, Michigan, USA, June 2016.
  11. H. H. Afshari, M. Attari, R. Ahmed, S. Habibi, Modeling, Parameterization, and State of Charge Estimation of Li-Ion Cells Using a Circuit Model, 2016 ITEC/IEEE Transportation Electrification Conference and Expo, Dearborn, Michigan, USA, June 2016.
  12. S. A. Gadsden, H. H. Afshari, and S. Habibi, Development of a Sliding Mode Controller and Higher-Order Structure-Based Estimator, 2016 ITEC/IEEE Transportation Electrification Conference and Expo, Dearborn, Michigan, USA, June 2016.
  13. H. H. Afshari, S. A. Gadsden, R. Ahmed, and S. Habibi, State of Charge Estimation of Li-Ion Batteries Using the Dynamic 2nd Order Smooth Variable Structure Filter, 25th Canadian Congress of Applied Mechanics (CANCAM 2015) London, Ontario, Canada, 2015.
  14. H. H. Afshari, S. A. Gadsden, and S. Habibi, Condition Monitoring of an Electro-Hydrostatic Actuator Using the Dynamic 2nd-order Smooth Variable Structure Filter, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, DETC2015-47436, Boston, Massachusetts, USA, 2015.
  15. M. Attari, H. H. Afshari, and S. Habibi, Maneuvering Car Tracking Using the Interacting Multiple Model and the Dynamic 2nd-order SVSF Method, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, DETC2015-47375, Boston, Massachusetts, USA, 2015.
  16. H. H. Afshari, R. Ahmed, and S. Habibi, State of Charge Estimation of Li-Ion Batteries Using the Dynamic 2nd-Order Smooth Variable Structure Filter, Proceedings of the 25th Canadian Conference of Applied Mechanics (CANCAM), London, Ontario, Canada, 2015.
  17. H. H. Afshari, and S. Habibi, Robustness Analysis of Some State Estimation Methods with an Explicit Consideration of Modeling Uncertainties, 28th IEEE Canadian Conference on Electrical and Computer Engineering, Halifax, Canada, 2015.
  18. H. H. Afshari, D. Al-Ani, and S. Habibi, State Estimation of a Faulty Actuator Using the Second-Order Smooth Variable Structure Filter (the 2nd-order SVSF), 28th IEEE Canadian Conference on Electrical and Computer Engineering, Halifax, Canada, 2015.
  19. H. H. Afshari, D. Al-Ani, and S. Habibi, Fault Prognosis of Roller Bearings Using the Adaptive Auto-Step Reinforcement Learning Technique, ASME 2014 International Mechanical Engineering Congress & Exposition, IMECE2014-36052, Montreal, Quebec, Canada, 2014.
  20. M. Attari, and S. Habibi, Automotive Tracking Techniques Using a New IMM based PDA-SVSF, International Mechanical Engineering Congress and Exposition (IMECE), Montreal, QC, November 14-20, 2014.
  21. M. Attari, S. A. Gadsden, S. Habibi, A Multi-Target Tracking Formulation of the SVSF with the Joint Probabilistic Data Association Technique, ASME 2014 Dynamic Systems and Control Conference (DSCC), San Antonio, TX, October 22-24, 2014.
  22. M. Attari, S. A. Gadsden, S. Habibi, Target Tracking Formulation of the SVSF as a Probabilistic Data Association Algorithm, American Control Conference (ACC2013), Washington D.C., June 17-19, 2013.
  23. I. Arasaratnam, J. Tjong, R. Ahmed, and S. Habibi, Adaptive Temperature Monitoring for Battery Thermal Management, SAE World Congress, Detroit, MI, USA, 2013.
  24. I. Arasaratnam, R. Ahmed, El-Sayed,M., S. Habibi, and J. Tjong, Li-Ion Battery SOC Estimation Using a Bayesian Tracker, SAE World Congress and Exhibition, Detroit, MI, USA, 2013.
  25. W. Zhang, S. A. Gadsden, and S. R. Habibi, A Wavelet-Based Smooth Variable Structure Filter, ASME Dynamic Systems and Control Conference (DSCC), Ft. Lauderdale, Florida, 2012.
  26. Y. Song, S. A. Gadsden, S. A. Delbari, and S. R. Habibi, System Modelling and Bulk Modulus Estimation of an Electrohydrostatic Actuator, Bath/ASME Symposium on Fluid Power and Motion Control (FPMC), Bath, England, 2012.
  27. M. A. El Sayed, S. A. Gadsden, and S. R. Habibi, A Sliding Mode Controller Based on the Interacting Multiple Model Strategy, Bath/ASME Symposium on Fluid Power and Motion Control (FPMC), Bath, England, 2012.
  28. M. Farag, R. Ahmed, S. A. Gadsden, S. R. Habibi, and J. Tjong, A Comparative Study of Li-ion Battery Models and Nonlinear Dual Estimation Strategies, IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, Michigan, USA, 2012.
  29. R. M. Ahmed, S. A. Gadsden, M. A. El Sayed, S. R. Habibi, and J. Tjong, A Signal-Based Fault Detection and Classification Strategy with Application to an Internal Combustion Engine, IEEE Transportation Electrification Conference and Expo (ITEC), Dearborn, Michigan, USA, 2012.
  30. S. A. Gadsden, Y. Song, and S. R. Habibi, Mathematical Modeling and Fault Detection and Diagnosis of an Electrohydrostatic Actuator, 2012 American Control Conference, Montreal, Quebec, Canada, 2012.
  31. S. A. Gadsden, Y. Song, K. R. McCullough, and S. R. Habibi, Friction Fault Detection of an Electrohydrostatic Actuator, ASME Dynamic Systems and Control Conference (DSCC) and the Bath/ASME Symposium on Fluid Power and Motion Control (FPMC), Washington D.C., 2011.
  32. S. A. Gadsden, D. Dunne, S. R. Habibi, and T. Kirubarajan, Combined Particle and Smooth Variable Structure Filtering for Nonlinear Estimation Problems, 14th International Conference on Information Fusion, Chicago, Illinois, 2011.
  33. S. A. Gadsden and S. R. Habibi, Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle, IEEE Vehicle Power and Propulsion Conference (VPPC), Chicago, Illinois, 2011.
  34. S. A. Gadsden, M. El Sayed, and S. R. Habibi, The Continuous-Time Smooth Variable Structure Filter, 23rd Canadian Congress of Applied Mechanics (CANCAM), Vancouver, British Columbia, 2011.
  35. R. M. Ahmed, S. A. Gadsden, M. El Sayed, and S. R. Habibi, Fault Detection and Classification of an Electrohydrostatic Actuator Using a Neural Network Trained by the Smooth Variable Structure Filter, 23rd Canadian Congress of Applied Mechanics (CANCAM), Vancouver, British Columbia, 2011.
  36. S. A. Gadsden, M. El Sayed, and S. R. Habibi, Derivation of an Optimal Boundary Layer Width for the Smooth Variable Structure Filter, 2011 American Control Conference, San Francisco, California, USA, 2011.
  37. S. A. Gadsden, K. McCullough, and S. R. Habibi, Fault Detection and Diagnosis of an Electrohydrostatic Actuator Using a Novel Interacting Multiple Model Approach, 2011 American Control Conference, San Francisco, California, USA, 2011.
  38. S. A. Gadsden, D. Dunne, R. Tharmarasa, S. R. Habibi, and T. Kirubarajan, Application of the Smooth Variable Structure Filter to a Multi-Target Tracking Problem, Signal Processing, Sensor Fusion, and Target Recognition, Society of Photo-Optical Instrumentation Engineers (SPIE), Orlando, Florida, 2011.
  39. S. A. Gadsden and S. R. Habibi, Derivation of the Smooth Variable Structure Information Filter, International Mechanical Engineering Congress and Exposition (IMECE), American Society of Mechanical Engineers, Vancouver, British Columbia, 2010.
  40. S. A. Gadsden, M. Al-Shabi, and S. R. Habibi, Estimation of an Electrohydrostatic Actuator Using a Combined Cubature Kalman and Smooth Variable Structure Filter, International Mechanical Engineering Congress and Exposition (IMECE), American Society of Mechanical Engineers, Vancouver, British Columbia, 2010.
  41. S. A. Gadsden, and S. R. Habibi, A New Form of the Smooth Variable Structure Filter with a Covariance Derivation, IEEE Conference on Decision and Control (CDC), Atlanta, Georgia, 2010.
  42. M. El Sayed and S. R. Habibi, Multiple Sliding Mode Control for an Electrohydraulic Actuator System, Bath/ASME Symposium on Fluid Power and Motion Control (FPMC 2010), Bath, UK, 2010.
  43. S. A. Gadsden, S. R. Habibi, and T. Kirubarajan, A Novel Interacting Multiple Model Method for Target Tracking, 13th International Conference on Information Fusion, Edinburgh, UK, 2010.
  44. V. Jouppila, S. A. Gadsden, and A. Ellman, Modeling and Identification of a Pneumatic Muscle Actuator System Controlled by an On/Off Solenoid Valve, 7th International Fluid Power Conference (IFP), Aachen, Germany, 2010.
  45. S. A. Gadsden and S. R. Habibi, Target Tracking Using the Smooth Variable Structure Filter, Dynamic Systems and Control Conference (DSCC), American Society of Mechanical Engineers, Hollywood, California, 2009.
  46. M. El Sayed and S. R. Habibi, Inner-Loop Control for Electro-Hydraulic Actuation (EHA) Systems, Dynamic Systems and Control Conference (DSCC), American Society of Mechanical Engineers, Hollywood, California, 2009.
  47. S. A. Gadsden, D. Dunne, S. R. Habibi, and T. Kirubarajan, Comparison of Extended and Unscented Kalman, Particle, and Smooth Variable Structure Filters on a Bearing-Only Target Tracking Problem, Signal and Data Processing of Small Targets, Society of Photo-Optical Instrumentation Engineers (SPIE), San Diego, California, 2009.
  48. V. Jouppila, S. A. Gadsden, G. Bone, A. Ellman and S. R. Habibi, Sliding Mode Controller and Filter Applied to a Pneumatic McKibben Muscle Actuator, International Mechanical Engineering Congress and Exposition (IMECE), American Society of Mechanical Engineers, Lake Buena Vista, Florida, 2009.
  49. S. A. Gadsden, D. Mohammed, and M. Al-Shabi, Regularized Least Squares: A Useful (Forgotten) Tool for Supervised and Semi-Supervised Learning, The 13th World Multi-Conference on Systemics, Cybernetics and Informatics (WMSCI), Orlando, Florida, 2009.
  50. S. A. Gadsden and S. R. Habibi, The Future of Automobiles: Cognitive Cars, 22nd Canadian Congress of Applied Mechanics (CANCAM), Halifax, Nova Scotia, 2009.
  51. S. A. Gadsden and S. R. Habibi, Aircraft Tracking Using a Radar and the Smooth Variable Structure Filter, 22nd Canadian Congress of Applied Mechanics (CANCAM), Halifax, Nova Scotia, 2009.
  52. S. A. Gadsden and S. R. Habibi, Aerodynamic Flutter and Flight Surface Actuation, International Mechanical Engineering Congress and Exposition (IMECE), American Society of Mechanical Engineers, Seattle, Washington, 2007.
  53. S. A. Gadsden, A Brief History and Philosophy of Mechanics, 21st Canadian Congress of Applied Mechanics (CANCAM), Toronto, Ontario, 2007.
  54. S. A. Gadsden and S. R. Habibi, Effects of Aerodynamic Flutter on a Flight Surface Actuator, 21st Canadian Congress of Applied Mechanics (CANCAM), Toronto, Ontario, 2007.

Posters

EECOMOBILITY (ORF) and HEVPD&D Create Conference 2019

  1. Fault Detection and Diagnosis for Internal Combustion Engines by Ahmed Doghri
  2. Neural Network-based Sensor Fusion for Vehicle Perception by Ash (Chang) Liu
  3. Multiphase Drives for EV Applications by Ahmed Salem
  4. Battery Impedance Mapping and Characterization by Abdel Rahman Tawakol
  5. Classification and Detection Considerations for Thermal Imaging by Ben Miethig
  6. Alternative Cathode Substrates for the Na-Air Battery by C. Franko, H. Yadegari, A. Sun, Y. Abu-Lebdeh, G. Goward
  7. Low-Voltage-to-Cell Battery Management System by Christina Riczu
  8. Fault Detection and Diagnosis of Internal Combustion Engines by Doyi Joo
  9. Log Data Analysis and Software Diagnosis by Elliott (Yixin) Hangfu
  10. Advanced Fault Detection and Diagnosis by Mahmoud Ismail
  11. Battery Relaxation Effects by Marvin Messing
  12. Performance Evaluation of Spark Plugs in Gasoline Engines by Mehdi Sadeghkazemi
  13. Battery Pack Design and Thermal Management by Raven Chen
  14. Modeling and State of Charge Estimation of Electric Vehicle Batteries by Sara Rahimifard
  15. Dual High-Resolution Radar Tracking by Viktor Smirnov

EECOMOBILITY (ORF) and HEVPD&D Create Conference 2018

  1. Battery Impedance Mapping and Characterization by Abdel Rahman Tawakol
  2. Fault Detection and Diagnosis for Internal Combustion Engines by Ahmed Doghri
  3. Advanced Vehicle Perception System by Ash (Chang) Liu
  4. Detection Considerations for Thermal Imaging by Ben Miethig
  5. Relating Structure and Dynamics to Performance of Na-ion Battery Cathodes by Chelsey Hurst, Kristopher J. Harris, and Gillian R. Goward
  6. Alternative Cathode Substrates for the Na-Air Battery by Christopher Franko, Hossein Yadegari, Andy Sun, Gillian Goward
  7. Dual-Chemistry Battery Pack by Christina Riczu
  8. Fault Detection and Diagnosis of Internal Combustion Engines by Doyi Joo
  9. Battery Failure Prediction by Essam Seddik
  10. Designing Auxiliary Power Unit for 800V Powertrain Vehicle by Iman Aghabali
  11. Multi-Source Inverter for Hybrid Electric Vehicles by Lea Dorn-Gomba
  12. Advanced Fault Detection and Diagnosis by Mahmoud Ismail
  13. Injection Optimization of Spark Ignition (SI) Engines by Mehdi Sadeghazemi
  14. Model Based Fault Detection and Diagnosis on Alternators by Nicholas D'Aquila
  15. Advanced Lane Detection for Autonomous Driving by Paolo Cudrano
  16. Advanced Fault-Tolerant Control for Switched Reluctance Motor Drives by Peter Azer
  17. Integrated Battery Testing Solution by Rioch D'lyma
  18. A Hybrid Scheme for Fault Diagnosis with Partially Labelled Sets of Observations by Roozbeh Razavi-Far, Ehsan Hallaji, Mehrdad Saif, and Luis Rueda
  19. Dimensionality Reduction-Based Diagnosis of Bearing Defects in Induction Motors by Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Mehrdad Saif
  20. Multi-Objective Structural Optimization of PMSMs using Evolutionary Algorithms by Philip Korta, Himavarsha Dhulipati, Wenlong Li, and Narayan C. Kar
  21. Drive Cycle Based Performance Assessment of Multi-phase PMSM for Direct-drive EV Application by Qingqing Xie, Ze Li, Himavarsha Dhulipati, Wenlong Li, and Narayan C. Kar
  22. Data-Driven Prognostic Techniques for Estimation of the Remaining Useful Life of Lithium-ion Batteries by Roozbeh Razavi-Far, Maryam Farajzadeh-Zanjani, Shiladitya Chakrabarti, and Mehrdad Saif

Contact Us

Mailing Address:

Centre for Mechatronics & Hybrid Technologies
McMaster Automotive Resource Centre (MARC)
200 Longwood Road South, Unit 224,
Hamilton, Ontario
Canada L8P 0A6


Phone Number:

1-289-674-0250


Contact Us:

cmht@mcmaster.ca

Partners