SPECIAL SESSIONS
SPECIAL SESSION 1 (SS1)
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ENERGY STORAGE SYSTEMS: ADVANCED MODELING, SIMULATION, POWER CONVERSION, CONTROL, AND DIAGNOSTICS
Co-Chairs
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Walter Zamboni, Dipartimento di Ingegneria dell'Informazione ed Elettrica e Matematica Applicata (DIEM), Università degli Studi di Salerno (UNISA), Italy, email: wzamboni@unisa.it
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Andrea Trovò, Dipartimento di Ingegneria Industriale (DII), Università degli Studi di Padova (UNIPD), Italy, email: andrea.trovo@unipd.it
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Emilio Pérez Soler, Departament d'Enginyeria de Sistemes Industrials i Disseny (ESID), Universitat Jaume I (UJI), Spain, email: pereze@uji.es
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Brian Ospina Agudelo, École Supérieure d'Ingénieurs en Électrotechnique et Électronique (ESIEE), Université Gustave Eiffel (UGE), France, e-mail: brian.ospina-agudelo@univ-eiffel.fr
Theme
Energy Storage Systems (ESSs) are crucial for applications in e-mobility, robotics, drones, renewable energy, and micro/nanogrids. ESSs are complex and costly, integrating Battery Management Systems (BMSs) for optimal operation and AC/DC or DC/DC converters to process power flow. One of the main research challenges in ESSs is the identification of battery models that reach a balance between accuracy and ease of implementation in real control systems. Such models are often used in online algorithms for diagnostics and estimation of State of Charge/Health (SOC/SOH) and play a pivotal role in understanding and predicting the behavior of ESSs at short, medium, and long timescales. Furthermore, battery models are fundamental to devise suitable control systems for BMSs and power converters to ensure adequate ESS performance in terms of efficiency, autonomy, reliability, and safety.
This special session is aimed at presenting the latest advances and developments in ESS technologies of different kind (batteries, supercapacitors, hydrogen storage, flywheels, etc.) with particular reference to advanced modeling, accurate simulation, high-performance power electronic converters, high-performance linear and nonlinear control systems, accurate SOC/SOH estimation methods, and advanced ESS diagnostics.
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Topics of Interest
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Advanced electrical and thermal models for batteries, supercapacitors, and ESSs and related state estimation and parameter identification techniques
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Aging prediction for batteries based on data-driven models or physical electrochemical models
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Battery Management Systems (BMS)
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High-performance power electronic converters for ESSs
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Advanced control techniques for BMSs and power converters to ensure high-performance ESS operation
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Hardware in the Loop simulation and emulation of ESSs
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Hybrid generation/storage and Long Duration Energy Storage (LDES) systems
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Supercapacitor and hybrid supercapacitor modeling
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Electrolyzers supply and control, and hydrogen storage technologies
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Applications of flywheel ESSs
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Advanced algorithms and sensors for diagnostics and SOC/SOH estimation
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Electrochemical impedance spectroscopy for batteries and ESSs.​
SPECIAL SESSION 2 (SS2)
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PERFORMANCE, AGEING, AND DIAGNOSTICS OF HYDROGEN SYSTEMS
Co-Chairs
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Antony Plait, Toulouse INP, LAPLACE, UT, CNRS, Toulouse, France, email: plait@laplace.univ-tlse.fr
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Damien Guilbert, Université Le Havre Normandie, GREAH, CNRS, Le Havre, France, email: damien.guilbert@univ-lehavre.fr
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Frédéric Dubas, Université Marie et Louis Pasteur, UTBM, CNRS, Institut FEMTO-ST, Belfort, France, email: frederic.dubas@univ-fcomte.fr
Theme
Hydrogen production and utilization play a key role among tomorrow’s sustainable energy solutions, actively contributing to the transition toward low-carbon energy systems.
This session focuses on the performance, diagnostics, and ageing of hydrogen systems, encompassing the entire powertrain chain, from hydrogen production and storage to its conversion into mechanical or electrical energy. A deep understanding of the behavior, degradation mechanisms, and efficiency of the various hydrogen components (fuel cells, electrolyzers, storage materials, and hybrid propulsion systems) is essential to ensure the durability, safety, and competitiveness of these technologies.
We welcome contributions that explore both experimental and modeling approaches for system diagnostics, lifetime prediction, and performance optimization under real operating conditions. By bridging fundamental studies and applied research, this session aims to provide a comprehensive perspective on how hydrogen technologies can meet the reliability and durability requirements of future energy systems.
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Topics of Interest
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Hydrogen systems (fuel cells, electrolyzers, storage materials, etc.)
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Modeling and simulation of hydrogen systems
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Ageing mechanisms and durability of the components
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Diagnostic tools and fault detection
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Influence of auxiliaries on performance and ageing
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Integration of hydrogen technologies.
... and more Special Sessions to come!
