Validation and Implementation in the Cloud of Cell-Level Models of a Digital Twin Simulation Platform

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...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology 2024-06, Vol.73 (6), p.7489-7500
Main Authors: Lizaso-Eguileta, Olatz, Gil, Endika, Martinez-Laserna, Egoitz, Rivas, Mikel, Miguel, Eduardo, Iraola, Unai, Cantero, Igor
Format: Article
Language:English
Subjects:
Algorithms
Batteries
battery models
Cloud computing
Computational modeling
Data models
Data storage
Digital twin
Digital twins
Hysteresis
Integrated circuit modeling
Lithium-ion batteries
Modelling
Power management
State estimation
state of charge
Storage capacity
Voltage
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Summary: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.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3254894