Research & Publications

Research profile

My research background lies at the intersection of electrochemical energy systems, experimental analysis, signal processing, numerical modelling, and scientific computing.

My doctoral work focused on non-intrusive diagnosis of lithium-ion batteries using electrochemical-noise measurements. More recently, my work has extended towards multiphysics modelling of proton-exchange membrane fuel cells (PEMFC), including nonlinear state estimation and digital-twin development.

Doctoral research

PhD — University of Poitiers / Institut Pprime, 2012–2015

Thesis: Methodology for Li-ion battery diagnosis using electrochemical noise measurements

The work investigated electrochemical noise as a diagnostic signal for commercial lithium-ion batteries.

Main topics included:

  • electrochemical-noise measurement;
  • ageing and battery-state characterisation;
  • state of charge and state of health;
  • statistical signal processing;
  • time-frequency analysis;
  • feature extraction;
  • complex impedance;
  • non-intrusive diagnostic methods.

The PhD was awarded with highest honours and congratulations from the jury.

Current research and modelling

PEMFC digital twin

Since March 2026, I have been working on the development of a complete multiphysics digital twin for proton-exchange membrane fuel cells.

The model couples:

  • electrochemical phenomena;
  • thermal behaviour;
  • gas and fluid transport;
  • membrane hydration;
  • liquid-water management;
  • purge-related operating phenomena.

The implementation is developed in Python with particular attention to numerical robustness, reproducibility, testability, and maintainability.

Nonlinear state estimation

An Unscented Kalman Filter (UKF) is being developed for estimation of internal PEMFC states that are not directly measurable during normal operation.

Current work concerns PEMFC modelling, state estimation, and digital-twin development, with experimental validation planned as a later step.

Selected publications

Martemianov, S., Adiutantov, N., Evdokimov, Yu. K., Madier, L., Maillard, F., Thomas, A., New methodology of electrochemical noise analysis and applications for commercial Li-ion batteries. Journal of Solid State Electrochemistry, 19, 2015, pp. 2803–2810. DOI: 10.1007/s10008-015-2855-2

Martemianov, S., Maillard, F., Thomas, A., Lagonotte, P., Madier, L., Noise Diagnosis of Commercial Li-ion Batteries Using High-Order Moments. Russian Journal of Electrochemistry, 52(12), 2016, pp. 1122–1130. DOI: 10.1134/S1023193516120089

Maillard, F., Martemianov, S., Thomas, A., Adiutantov, N., Lagonotte, P., Madier, L., Electrochemical Noise as diagnostic tool for Li-ion batteries. 10th International Frumkin Symposium on Electrochemistry, 2015.

Maillard, F., Martemianov, S., Thomas, A., Adiutantov, N., Lagonotte, P., Madier, L., Measurements and Signal Processing of Li-ion Electrochemical Noise. 10th International Frumkin Symposium on Electrochemistry, 2015.

Maillard, F., Martemianov, S., Thomas, A., Adiutantov, N., Lagonotte, P., Madier, L., Electrochemical Noise of commercial Li-ion batteries: Methodology and possible applications. 10th International Frumkin Symposium on Electrochemistry, 2015.

Maillard, F., Adiutantov, N., Evdokimov, Y., Madier, L., Martemianov, S., Thomas, A., Diagnostic des systèmes électrochimiques par la mesure de bruit interne. GdR HySPàC, Poitiers, 2014.

Scientific interests

  • electrochemical energy systems;
  • lithium-ion batteries;
  • PEM fuel cells;
  • multiphysics modelling;
  • nonlinear state estimation;
  • signal processing;
  • scientific Python;
  • numerical methods;
  • reproducible computational engineering.