Active Battery-Health Diagnostics for Real-World Applications Using a Bi-Directional Charger

Battery health data from real-world applications are vital for optimizing and predicting battery lifetime. This study presents the design and verification of an active battery-diagnostic system and method to collect such data. The system measures battery pack capacity and resistance by applying a diagnostic protocol via a bi-directional charger. This was demonstrated on a stationary-energy-storage application, under real-world conditions, to verify the system’s design requirements. Measurements at the start and the end of the demonstration period of a month resulted in an observed degradation of 1.79 ± 0.34% battery capacity and an increase of 1.42 ± 0.75% in battery resistance. The successful measurements of capacity and resistance prove the compatibility of the system with real-world battery systems and confirm the design requirements were met. The system was able to perform autonomous and in situ measurements while only requiring the addition of software to the battery management system and by using the bi-directional charger of the energy storage system. By repeatedly applying the same diagnostic protocol over time, this system enables consistent tracking of battery health.

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Publication Details

Journal
Batteries
Published
2026-04-21
DOI
https://doi.org/10.3390/batteries12040146
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Active Battery-Health Diagnostics for Real-World Applications Using a Bi-Directional Charger

Thomas Geury, Tim Meulenbroeks, Frédéric Reymond-Laruina, Md. Mahamudul Hasan et al.
Batteries
Advanced Battery Technologies Research
article

Active Battery-Health Diagnostics for Real-World Applications Using a Bi-Directional Charger

Thomas Geury, Tim Meulenbroeks, Frédéric Reymond-Laruina, Md. Mahamudul Hasan, S. Wilkins, Omar Hegazy, Thomas Köhler
article en

Abstract

Battery health data from real-world applications are vital for optimizing and predicting battery lifetime. This study presents the design and verification of an active battery-diagnostic system and method to collect such data. The system measures battery pack capacity and resistance by applying a diagnostic protocol via a bi-directional charger. This was demonstrated on a stationary-energy-storage application, under real-world conditions, to verify the system’s design requirements. Measurements at the start and the end of the demonstration period of a month resulted in an observed degradation of 1.79 ± 0.34% battery capacity and an increase of 1.42 ± 0.75% in battery resistance. The successful measurements of capacity and resistance prove the compatibility of the system with real-world battery systems and confirm the design requirements were met. The system was able to perform autonomous and in situ measurements while only requiring the addition of software to the battery management system and by using the bi-directional charger of the energy storage system. By repeatedly applying the same diagnostic protocol over time, this system enables consistent tracking of battery health.

BatteriesVol. 12(4)
Vrije Universiteit Brussel (BE), Netherlands Organisation for Applied Scientific Research (NL), EDF Energy (United Kingdom) (GB), Flanders Make (Belgium) (BE), Eindhoven University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 18%
Advanced Battery Technologies Research
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