PoliMi-TUB dataset - LG 18650HE4 Li-Ion Battery

Published: 12 February 2024| Version 1 | DOI: 10.17632/6hyhsjbwkb.1
Contributor:
Panagiotis Eleftheriadis

Description

The data was obtained through tests performed at the Institute of Energy and Automation Technology in Technische Universität Berlin, Berlin, Germany with the collaboration of the Politecnico di Milano, Milan, Italy by Dr. Panagiotis Eleftheriadis (elefpana.auth@gmail.com). If this data is employed for any objective, it should be duly cited. For this study: A total of 6 2.5Ah LG18650HE4 battery cells were placed in a thermal chamber, specifically the Binder MK53. A Neware battery tester model BTS-4008 was utilized for cycling these battery cells. The dataset was merely pre-processed and transformed into the final structure uploaded. The dataset is suitable for State of Charge and State of Health estimations as well as their joint estimation. All information related to the setup and the test procedure are presented in the article: [1] Joint State of Charge and State of Health Estimation using Bidirectional LSTM and Bayesian Hyperparameter Optimization

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Institutions

  • Technische Universitat Berlin
  • Politecnico di Milano

Categories

Aging, Artificial Intelligence Applications, Lithium Ion Battery, Electric Vehicles, State-of-Charge

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