READ ME File For 'Hybrid and Dual Chemistry Battery Experimental Data'

Dataset DOI: 10.5258/SOTON/D1020

ReadMe Author: Andrei Dascalu   ORCID ID 0000-0003-3072-1864

This data set contains the experimental data of the hybrid battery systems analysed in Dascalu, A. . (2025). Hybrid and Dual Chemistry Battery for Energy Storage Applications. [Doctoral Thesis, University of Southampton]. 

The data set contains the following:
- Data_Cycles_2024.zip is the cycle data of a hybrid battery demonstrator.
- Experimental_data.zip is the experimental data for the individual Li-ion and lead-acid batteries.
- The files Hybrid_Data_24V_-_1LA_1LI_Strings.zip, Hybrid_Data_24V_-_1LA_2LI_Strings.zip, Hybrid_Data_24V_-_2LA_1LI_Strings.zip, Hybrid_Data_24V_-_3LA_1LI_Strings.zip, and Hybrid_Data_48V.zip contain the experimental lab data of the hybrid battery system for different string and voltage configurations.
- Modelling_Data.zip is the modelling data of the hybrid system.

The data formats are CSV and MATLAB (.mat). 

Licence: CC-BY

Funding: This research was funded by the Engineering and Physical Sciences Research Council (EPSRC) through the Centre for Doctoral Training in Energy Storage and its Applications, grant EP/L016818/1, and GS Yuasa Ltd.

Related publications:

Experimental investigations into a hybrid energy storage system using directly connected lead-acid and Li-ion batteries. Energies, 17(18), Article 4726. https://doi.org/10.3390/en17184726

Dascalu, A., Sharkh, S., Cruden, A., & Stevenson, P. (2022). Performance of a hybrid battery energy storage system. Energy Reports, 8, 1-7. Advance online publication. https://doi.org/10.1016/j.egyr.2022.05.040

Date that the file was created: July 2025