Daniel Hissel

Full Professor, Head of SHARPAC Team

Université de Franche-Comté

France

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Daniel Hissel is a Full Professor and the Head of the SHARPAC Team at Université de Franche-Comté, France. His research focuses on predictive maintenance and health monitoring systems for fuel cells, as well as advanced modeling techniques for energy efficiency. Recent articles include studies on proton-exchange-membrane fuel cells and their applications in transportation, demonstrating his expertise in electrochemical systems and diagnostics.

Daniel Hissel

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Articles (25)

Online Health Monitoring of Silicon PV Panels by Converter-Based Impedance Spectroscopy: Panel-Level Equivalent Circuit Model and Health Feature Extraction

Predictive Maintenance of Proton-Exchange-Membrane Fuel Cells for Transportation Applications

A system-level modeling framework for predicting Pt catalyst degradation in proton exchange membrane fuel cells

An advanced 1D physics-based model for PEM hydrogen fuel cells with enhanced overvoltage prediction

A Low-Cost High-Accuracy Online Electrochemical Impedance Spectroscopy Measurement Strategy for Fuel Cell Electric Vehicle Application

Towards maximum efficiency of an open-cathode PEM fuel cell system: A comparative experimental demonstration

Diagnostic and prognostic for prescriptive maintenance and control of PEMFC systems in an industrial framework

Energy efficiency and electrochemical characteristic assessment of PEMFC-supercapacitor hybridization via railway profile

Health management review for fuel cells: Focus on action phase

Diagnostic and Performance Analysis of a Water Electrolyzer by Magnetic Field Measurements

Control Strategies of Converter-Based Online Impedance Spectroscopy for Photovoltaic Panels

Electrical resilience assessment of a building operating at low voltage

Global warming potential and societal-governmental impacts of the hydrogen ecosystem in the transportation sector

An adaptative approach for estimating the remaining useful life of a heavy-duty fuel cell vehicle

Optimal post-prognostics decision making for multi-stack fuel cells in transportation: toward joint load allocation and maintenance scheduling

Time to market reduction for hydrogen fuel cell stacks using Generative Adversarial Networks

Hybrid Deep Learning Model for Mean Hourly Irradiance Probabilistic Forecasting

An Innovative PEMFC Magnetic Field Emulator to Validate the Ability of a Magnetic Field Analyzer to Detect 3D Faults

Impact of current ripples on the durability of proton exchange membrane fuel cells based on two ageing datasets

Solar Irradiance Probabilistic Forecasting Using Machine Learning, Metaheuristic Models and Numerical Weather Predictions

Multiple-Fuel Cell Module Architecture Investigation: A Key to High Efficiency in Heavy-Duty Electric Transportation

Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives

Hydrogen energy systems: A critical review of technologies, applications, trends and challenges

A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications

Combined Cooling and Power Management Strategy for a Standalone House Using Hydrogen and Solar Energy

Collaborators (5)

Robin Roche

Xin Wang

Damien Paire

Michel Aillerie

Zhixue ZHENG

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