2026-07-09T04:19:59Zhttps://ebiltegia.mondragon.edu/oai/requestoai:ebiltegia.mondragon.edu:20.500.11984/145232026-06-11T06:15:40Zcom_20.500.11984_473com_20.500.11984_14090col_20.500.11984_478
Validation and Implementation in the Cloud of Cell-Level Models of a Digital Twin Simulation Platform
Lizaso Eguileta, Olatz
Gil, Endika
Martinez Laserna, Egoitz
RIVAS GUTIERREZ, MIKEL
Miguel, Eduardo
IRAOLA, UNAI
Batteries
Computational modeling
Integrated circuit modeling
Data models
Cloud computing
Hysteresis
Voltage
Digital twin
cloud computing
battery models
state of charge
The monitoring and modelling of the Li-Ion Batteries behaviour is still a major technical challenge due to the non-linearities and coupled phenomena that determine their operation. These Li-Ion Batteries can consist of thousands of cells with series/parallel connections, which suffer from operating and degradation deviations. The pursuit of new, increasingly intelligent and heavier state estimation algorithms requires a significant amount of data and computational power, which can be challenging to deploy in current Battery Management System solutions. To solve this problem, this paper proposes a Digital Twin Simulation Platform that considers all the individual cells based on the Cloud to extend the computational power and data storage capacity. This work presents validated cell models, a module-level modelling approach, and an experimental validation platform is suggested. In addition, the first results obtained when implementing the Digital Twin Simulation Platform in the Cloud are presented.
2026-06-10T11:04:04Z
2026-06-10T11:04:04Z
2024
0018-9545
https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=172000
https://hdl.handle.net/20.500.11984/14523
eng
© 2024 IEEE
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