Scalable Mixed-Criticality Safety Concepts for a Stationary Battery Management System (BMS) With Integrated Machine Learning (ML)

Scalable Mixed-Criticality Safety Concepts for a Stationary Battery Management System (BMS) With Integrated Machine Learning (ML)

Battery management systems (BMSs) play a crucial role in controlling and supervising the safe operation of lithium-ion batteries in stationary energy storage systems. The integration of mixed-criticality functions (combining safety functions of different criticality and non-safety-related functions)...

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Bibliographic Details
Main Authors: Xabier Arraztoa-Lazkanotegi, David Marcos, Maitane Garmendia, Enaut Muxika Olasagasti, Jon Perez-Cerrolaza
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Battery management systems (BMS)
lithium-ion batteries
machine learning (ML)
stationary energy storage systems
computing architecture
multicore processing
Online Access:https://ieeexplore.ieee.org/document/10945323/
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