CERES Power, well-known for their collaboration with Doosan Fuel Cells, will present results on their collaboration with Pulsenics at the Electrolyser and Fuel Cell Forum (EFCF) 2026 in Lucerne, Switzerland. EFCF is an independent conference organized by scientists and technicians to share electrochemical research.
CERES, based in the United Kingdom, licenses solid oxide fuel cell technology to manufacturing partners globally. Their core technology supports both clean power generation and clean hydrogen production, helping advance the entire H2 value chain and drive worldwide decarbonization.
Pulsenics, a leading provider of electrochemical diagnostics technology, supported CERES with in-operando quality control equipment for series production of solid oxide stacks. Pulsenics solutions are unique in their ability to provide real-time EIS insights for operating electrochemical stacks, including the Ceres SteelCell.
CERES will present research on how in-operando monitoring works over a wide range of operating conditions, including voltage, current, and temperature. EFCF attendees are kindly invited to view the presentation at 11:30 on July 3, 2026. An abstract of the presentation can be read below.
Oujen Hodjati-Pugh, Senior Systems Engineer at CERES Power, will be presenting on:
TITLE: Large Stack Electrochemical Impedance for Serial Production Quality Control
Electrochemical impedance spectroscopy (EIS) analysis on series production solid oxide stacks is a powerful tool for stack development and characterisation as well as quality control (QC) and end-of-line testing. Recent advances in EIS technology allow for fast, nondestructive in-operando diagnostics for large stacks in fuel cell and electrolysis mode, enabling its use as a diagnostic tool for serial production stacks.
A systematic parameter exploration was conducted, testing the Ceres SteelCell® (EC) stack with the Pulsenics in-line Probe devices in electrolysis mode over a wide range of operating conditions, namely voltage, current, temperature, steam utilisation, and fuel type.
The testing enabled the development of a representative stack model that could be used to quantify the effects of different operating parameters, even ones outside of the bounds of the parameter exploration study. This model uses equivalent circuit modelling to individuate component-level resistances within the stack. This model also uses the Distribution of Relaxation Times method to track changes in cathode, anode and mass transfer reactions as operating conditions change. The results proved insightful for understanding cell-to-cell performance spread over the operational parameter sweep to support stack operating limit validation.
The characterisation enabled the development of a new suite of quality control indicators for the Ceres stack, furthering data-driven QC using frequency-domain series and polarisation resistance as well as time-domain distribution of relaxation time (DRT) fingerprint.