State of health estimation of lead acid batteries in case of safety critical systems

Authors

  • Szilárd Czibere Centre for Energy Research
  • Bálint Hartmann Centre for Energy Research, e-mail: hartmann.balint@energia.mta.hu (correspondence)

Keywords:

state of health estimation (SoH), batteries, energy storage, safety critical systems

Abstract

The importance of energy storage has been growing rapidly nowadays. Due to this trend, the utilization of batteries has skyrocketed. The universal implementation of electricity storage is a multidisciplinary challenge for future engineering, which holds many unsolved issues currently. Thanks to improving battery technologies, batteries are also a solution for supplying safetycritical systems. Considering this type of application, knowing it is indispensable to know the exact state of these batteries. However, what are the methodologies which meet these high requirements? Batteries are complex, non-linear systems therefore knowing their adequate state is not a self-evident task. This paper reveals a methodology which can provide information about the State of Health of a battery without high capacity need. This methodology is based on a scientific empirical approach, yet industrial implementations are considered as well

References

Christopher Suozzo. 2008. Lead-acid battery aging and state of health diagnosis, Ohio.

Dasong, W., Feng, Y., Lin, G., Yuliang, L. 2019. Fuzzy Prediction of Power Lithium Ion Battery State of Function Based on the Fuzzy c-Means Clustering Algorithm, World Electric Vehicle Journal, 10(1). 1. https://doi.org/10.3390/wevj10010001

Martin M., Adel G. 2017. A Closer Look at State of Charge (SOC) and State of Health (SOH) Estimation Techniques for Batteries, Analog Devices: Technical Article.

MIT Electric Vehicle Team, 2008. A Guide to Understanding Battery Specifications.

Nina H., René S., Nicolas W., Ulrike K. 2018. State-Of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Step with Machine Learning, Applied Sciences.

Stroe D. I., Swierczynski M. J., Stan A-I, Knap V., Teodorescu R., Andreasen S. J. 2014. Diagnosis of Lithium-Ion Batteries State-of-Health based on Electrochemical Impedance Spectroscopy Technique, Proceedings of the 2014 Energy Conversion Congress and Exposition (ECCE), Pages 4576–4582. https://doi.org/10.1109/ECCE.2014.6954027

Wladislaw W., Stefan K., Dirk U. S. 2013. Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on theapplication, Applied Energy, 102 February 2013, Pages 885–897. https://doi.org/10.1016/j.apenergy.2012.09.030

Downloads

Published

2020-11-06

Issue

Vol. 24 No. 3 (2020): Special Issue of 61th Georgikon Scientific Conference

Section

Articles

License

Copyright (c) 2020 Czibere Szilárd, Bálint Hartmann

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Cikkre a Creative Commons 4.0 standard licenc alábbi típusa vonatkozik: CC-BY-NC-ND-4.0. Ennek értelmében a mű szabadon másolható, terjeszthető, bemutatható és előadható, azonban nem használható fel kereskedelmi célokra (NC), továbbá nem módosítható és nem készíthető belőle átdolgozás, származékos mű (ND). A licenc alapján a szerző vagy a jogosult által meghatározott módon fel kell tüntetni a szerző nevét és a szerzői mű címét (BY).