Izenburua
Module-Level Modelling Approach for a Cloudbased Digital Twin Platform for Li-Ion BatteriesEgilea (beste erakunde batekoa)
Beste instituzio
IkerlanCegasa Energia S.L.U.
Bertsioa
Postprinta
Eskubideak
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Sarbide irekiaArgitaratzailearen bertsioa
https://doi.org/10.1109/VPPC53923.2021.9699271Non argitaratua
2021 IEEE Vehicle Power and Propulsion Conference (VPPC) Argitaratzailea
IEEEGako-hitzak
digital twinCloud computing
Battery models
State of Charge
Laburpena
The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS s ... [+]
The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS solutions. To address that issue, this paper proposes a cloud-based Digital Twin Platform to extend computing power and data storage capacity. This tool aims to contain the integration of models to analyse thermoelectricand ageing aspects of a LIB, based on experimental operation data by comparative analysis. Based on well-known cell-level modelling techniques, a module-level modelling approach is proposed and an experimental validation platform is suggested. [-]