Imbalance and ICA monitoring for multiple battery-electrolyser cells in series
This paper investigates imbalance and the application of Incremental Capacity Analysis (ICA) in monitoring lead-acid battery-electrolysers. These are single devices which function as both batteries and electrolysers. The study examines whether traditional monitoring and balancing strategies used in lithium-ion batteries are applicable to battery-electrolysers in series configurations. Findings suggest that cell balancing may not be necessary for systems with low levels of degradation as cell voltages align and electrolysis helps to balance cells further. ICA is employed to generate Incremental Capacity (IC) curves, which are reportedly used to detect subtle changes in battery behavior indicative of degradation. The proportional change method is applied to estimate state of health (SOH), yielding estimations within 7.9% of the actual measured SOH, indicating the potential of ICA as a tool for monitoring health in battery-electrolysers. However, the ICA only works when the battery-electrolyser is functioning as a battery. These findings suggest that, although cell monitoring and active balancing may not be required for minor degradation, the hardware could be useful for long term ICA tracking of degradation.
Funding
Low-Cost, Circular, plug & play, off grid Energy for Remote Locations including Hydrogen (LOCEL-H2)
European Commission
Find out more...History
School
- Mechanical, Electrical and Manufacturing Engineering
Research Unit
- Centre for Renewable Energy Systems Technology (CREST)
Published in
2024 13th International Conference on Renewable Energy Research and Applications (ICRERA)Pages
420 - 425Source
2024 13th International Conference on Renewable Energy Research and Applications (ICRERA)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher statement
This accepted manuscript has been made available under the Creative Commons Attribution licence (CC BY) under the IEEE JISC UK green open access agreement.Publication date
2024-12-31Copyright date
2024ISBN
9798350375589 ; 9798350375596eISSN
2572-6013Publisher version
Language
- en