Tina Shoa

Continuing Studies

• Engineering Management, University of British Columbia, 2010
   

Industrial and research interests

• Battery performance modeling, analysis and optimization
• Electrochemical and Ultrasound methods for battery fault detection
• Sustainable battery manufacturing process
• AI based battery diagnostics
   

Teaching interests

• Introduction and design of Energy storage systems
• Engineering materials for energy storage systems
• AI and Machine Learning Application for Sustainability
• Battery Management Systems for Electric Vehicle and grid storage application
   

Recently taught courses

• Advanced Battery and Fuel Cell Technologies
• Power Plant Systems
• Smart Grids
• Practicum
   

Selected recent publications

• M Messing, S Rahimifard, T Shoa, S Habibi, “Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy” Ieee Access 9, 99876-998893, 2021
• M Messing, T Shoa, S Habibi, “Estimating battery state of health using electrochemical impedance spectroscopy and the relaxation effect” Journal of Energy Storage 43, 1032102, 2021
• M Messing, T Shoa, S Habibi, “Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications” IEEE Access 9, 66989-669981, 2021
• M Messing, T Shoa, S Habibi, “EIS from Accelerated and Realistic Battery Aging”, 2021 IEEE Transportation Electrification Conference & Expo (ITEC), 720-725
• M Messing, T Shoa, R Ahmed, S Habibi, “Battery SoC estimation from EIS using neural nets, 2020 IEEE Transportation Electrification Conference & Expo (ITEC), 588-593, 9
• M Messing, T Shoa, S Habibi, “Lithium-ion battery relaxation effects”, 2019 IEEE Transportation Electrification Conference and Expo (ITEC), 1-65
• E. Fisher, T. Shoa, John Madden, Dan Bizzotto, “Determining the SOC for Pb Acid Batteries Using Non-linear Impedance Analysis” Submitted to Journal of Echemical Society, 10/2019.
• Hamed Afsharia, Mina Attaria, Ryan Ahmeda, Ali Delbaria, Saeid Habibi, Tina Shoa “Reliable state of charge and state of health estimation using the smooth variable structure filter”, Control Engineering Practice, Volume 77, August 2018, Pages 1-14
• Lee, K. K. C., P. R. Herman, T. Shoa, and J. D. W. Madden, "Microstructuring of Polypyrrole by Maskless Direct Femtosecond Laser Ablation", Advanced materials (Weinheim), vol. 24, pp. 1243-1246, 03/2012.
• T. Shoa, D.S. Yoo, K. Wallace, J. Madden, “A Dynamic Electromechanical Model for Electrochemically Driven Conducting Polymer Actuators”, Journal of IEEE transactions in Mechatronics,16:1, 42-46 Feb 2011.
• Mirfakhrai, T. ; Shoa, T. ; Madden, J. D. W., “Mechanoelectrical Force Sensors Using Twisted Yarns of Carbon Nanotubes”, Transactions on Mechatronics, 16:1, p. 90-97, Feb. 2011.
• Shoa, T., Madden, J.D, Mirfakhrai, T., Alici, G., Spinks, G.M., Wallace, G.G. (2010) Electromechanical coupling in polypyrrole sensors and actuators, Journal of Sensors and Actuators A:Physical, 0924-4247.
• Shoa, T., Madden, J.D, Mirfakhrai, T. (2010) Electro-stiffening in Polypyrrole films: Dependence of Young’s modulus on oxidation state, load and frequency, Synthetic metal, Journal of Electronic Polymers and Electronic Molecular Metals, 160:1280–1286.
• Shoa, T., Madden, J.D., Munce, N.R., Yang, V.X.D. (2009) Analytical modeling of conducting polymer driven catheter, and Optics, vol. 59, pp. 343-351.
• Lee, K., Munce, N.R., Shoa, T., Charron, L.G., Wrigh, G.A., Madden, J.D., Yang, V.X.D.(2009) Fabrication and characterization of laser-micromachined polypyrrole-based artificial muscle actuated catheters Sensors and Actuators, A: Physical, 153(2): 230-236.
• Shoa, T., Madden, J.D., Fok, Ch.E., Mirfakhrai, T.(2008) Rate Limits in Conducting Polymers Journal of advances in science and technology 61: 26-33.
   

Selected recent patents

• Shoa.T, “ Battery State-of-health Determination upon charging”, US Patent 11079437B2, Publication Date: August 3, 2022
• Shoa.T, “Apparatus and Method for testing electrochemical systems by obtaining EIS through sampling the cells and compensating for nonlinearities, feeding the EIS data as part of training set to an AI system.” U.S. PROVISIONAL PATENT APPLICATION 62/994687March 25, 2020
• Shoa.T, “ Battery State-of-health Determination using multi-factor normalization”, US Patent 10,302,709, Publication Date: May 28, 2019
• Shoa.T, “ Battery State-of-health Determination upon charging using state-of-health classifier”, US Patent Application 62595543, submission Date: Dec 6, 2017
• Rezania. B, Shoa.T., “Methods and apparatus for nitrogen removal from wastewater” WO/2013/039582 A1, also CA2850078 A1, Publication date: Mar 21, 2013)