Publications list

M. Boujneh, N. Majdoub, T. Ladhari and A. Sakly, ” Optimal Control Strategy Parameters of Parallel Hybrid Electric Vehicles Based on Particle Swarm Optimization”, IEEE 19st international Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). Monastir, Tunisia, 2022, pp. 01-06, Dec. 2020

M. Farza,A. Ragoubi, S. Hadj Saïd and M. M’SAAD. “Improved high gain observer design for a class of disturbed nonlinear systems”. Nonlinear Dyn 106, 631–655 (2021).

L. Lander et al., “Cost and carbon footprint reduction of electric vehicle lithium-ion batteries through efficient thermal management”, Applied Energy, vol. 289, May 2021.

S. Zhao, F. Blaabjerg and H. Wang, “An Overview of Artificial Intelligence Applications for Power Electronics”, IEEE Transactions on Power Electronics, vol. 36, no. 4, pp. 4633-4658, April 2021

S. Zhao and H. Wang, “Enabling Data-Driven Condition Monitoring of Power Electronic Systems With Artificial Intelligence: Concepts, Tools, and Developments”, IEEE Power Electronics Magazine, vol. 8, no. 1, pp. 18-27, March 2021

Y. Peng, S. Zhao and H. Wang, “A Digital Twin Based Estimation Method for Health Indicators of DC–DC Converters”, IEEE Transactions on Power Electronics, vol. 36, no. 2, pp. 2105-2118, Feb. 2021

M. Boujneh, N. Majdoub, T. Ladhari and A. Sakly, “Energy Management Strategy for Parallel Hybrid Electric Vehicle”, IEEE 21st international Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA). Sousse, Tunisia, 2022, pp. 01-06, Dec. 2022

S. Zhao, Y. Peng, Y. Zhang and H. Wang, “Parameter Estimation of Power Electronic Converters With Physics-Informed Machine Learning”, IEEE Transactions on Power Electronics, vol. 37, no. 10, pp. 11567-11578, Oct. 2022.

Y. Li et al., “Model order reduction techniques for physics-based lithium-ion battery management: A survey”, IEEE Industrial Electronics Magazine, vol. 16, no. 3, pp. 36-51, Sep. 2022.

D. Wasylowski et al., “Spatially resolving lithium-ion battery aging by open-hardware scanning acoustic imaging”, Journal of Power Sources, vol. 521 Feb. 2022

Large-scale field data-based battery aging prediction driven by statistical features and machine learning”, Cell Reports Physical Science, vol. 4, no. 12, Dec. 2023

Tang, Xiaopeng, et al., “Detecting abnormality of battery lifetime from first-cycle data using few-shot learning”, Advanced Science 11.6: 2305315, Dec. 2023.

D. Wasylowski et al., “In situ tomography of lithium-ion battery cells enabled by scanning acoustic imaging”, Journal of Power Sources, vol. 580, Oct. 2023

M. Paul-Henri and V. Heiries, “Robust and Adaptive Online State-of-Health and State-of-Charge Estimation of Li-ion Battery Cell”, 2023 IEEE Vehicle Power and Propulsion Conference (VPPC), Milan, Italy, 2023, pp. 01-06, Oct. 2023

V. Steininger, K. Rumpf, P. Hüsson, W. Li and D. Uwe Sauer, “Automated feature extraction to integrate field and laboratory data for aging diagnosis of automotive lithium-ion batteries”, Cell Reports Physical Science, vol. 4, Oct. 2023.

Škegro, A., Zou, C., & Wik, T. “Analysis of potential lifetime extension through dynamic battery reconfiguration,” European Conference on Power Electronics and Applications (EPE’23 ECCE Europe), Aalborg, Denmark, 1–11, Sep. 2023.

Y. Li, D.M. Vilathgamuwa, D.E. Quevedo, C.F. Lee and C. Zou, “Ensemble nonlinear model predictive control for residential solar battery energy management”, IEEE Transactions on Control Systems Technology, vol. 31, no. 5, pp. 2188-2200, Sep. 2023.

M. Sani, M. Piffard and V. Heiries, “Fault Detection for PEM Fuel Cells via Analytical Redundancy: A Critical Review and Prospects”, Energies, vol. 16, no. 14, pp. 5446, June 2023.

Peprah, G. K., et al., “Control-oriented 2D thermal modelling of cylindrical battery cells for optimal tab and surface cooling,” American Control Conference (ACC), Toronto, Canada, 4651–4656, Jul. 2024

J. Knox, M. Blyth and A. Hales, “Advancing state estimation for lithium-ion batteries with hysteresis through systematic extended Kalman filter tuning”, Scientific Reports, vol. 14, May 2024.

A. Hales and J. Bulman, “A Standardised Potentiometric Method for the Effective Parameterisation of Reversible Heating in a Lithium-Ion Cell”, Journal of the Electrochemical Society, vol. 171, no. 5, May 2024.

Y. Zhang, T. Wik, J. Bergström and C. Zou, “State of health estimation for lithium-ion batteries under arbitrary usage using data-driven multimodel fusion”, IEEE Transactions on Transportation Electrification, vol. 10, no. 1, pp. 1494-1507, Mar. 2024

Y. Fassi, V. Heiries, J. Boutet and S. Boisseau, “Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review”, IEEE Transactions on Power Electronics, vol. 39, no. 2, pp. 2692-2720, Feb. 2024.

Y. Li, T. Wik, Y. Huang and C. Zou, “Nonlinear model inversion-based output tracking control for battery fast charging,” IEEE Transactions on Control Systems Technology, vol. 32, no. 1, pp. 225-240, Jan. 2024.

Zhang Y, Wik T, Bergström J, & Zou C. Machine learning-based lifelong estimation of lithium plating potential: A path to health-aware fastest battery charging. Energy Storage Materials. 74:103877, Jan. 2025