Validation of a lithium-ion commercial battery pack model using experimental data for stationary energy management application

Open Res Eur. 2022 Jun 10;2:15. doi: 10.12688/openreseurope.14301.2. eCollection 2022.


Background: A cost-effective solution for the design of distributed energy storage systems implies the development of battery performance models yielding a suitable representation of its dynamic behaviour under realistic operation conditions. Methods: In this work, a lithium-ion battery (LIB) is tested to be further modelled and integrated into an existing energy management control system. This specific LIB (5.0 kW /9.8 kWh) is integrated with a commercial inverter and solar photovoltaic (PV) system (3.3 kWp) as part of a microgrid that is also encompassing other energy storage technologies at the University of Évora, Pole of INIESC - National Research Infrastructure for Solar Energy Concentration. A testing protocol fully characterizes the battery and the inverter efficiency to describe their performance better. Then, a battery model is built upon both the existent LIB description and experimental fitting regression. The model allows obtaining the voltage curve, the internal resistance (i.e., to describe instantaneous voltage drop/rise and transients), and the state of charge (SOC) and/or energy capacity based on the current input. The developed model is validated through the comparison with the experimental results. Results: The model approach presented a higher voltage RMSE (root mean square error) of 5.51 V and an MRE (maximum relative error) of 5.68 % in the discharge state. Regarding SOC, the MRE obtained was approximately 6.82 %. In the charge state, the highest RMSE voltage was 5.27 V, with an MRE of 6.74 %. Concerning SOC, the MRE obtained was approximately 6.53 %. Conclusions: The developed model is validated through the comparison with experimental results. Based on computational effort, simplicity of use and the associated model error, the approach is validated to the regular conditions of the commercial battery pack to be incorporated in the next research step, following a bottom-up modelling approach for an increasingly more complex smart grid.

Keywords: Electrical energy storage; battery model; characterization tests; lithium-ion battery.

Grants and funding

This research was financially supported by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 864400 (A POsitive Energy CITY Transformation Framework [POCITYF]). This research was also financially supported by INIESC (Infraestrutura Nacional de Investigação em Energia Solar de Concentração), FCT / PO Alentejo / PO Lisboa, INIESC AAC 01/SAICT/2016. This research was also supported by the PhD Scholarship (AF) of FCT (Fundação para a Ciência e Tecnologia), Portugal, with the reference SFRH/BD/147087/2019.