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Embedded strategy for battery module states estimation using tiny machine learning models
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DOI：10.1016/j.est.2026.120673.png)
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摘要
En 中文
• TinyML model optimization via neural projection for embedded SoC/SoH smart sensing. • Variable-length SoH models using partial-charge ICA curves and voltage data • End-to-end BMS framework scaling SoC/SoH from cell to module in real system
Keyword:
State of charge
State of health
TinyML
Embedded machine learning
Cell-to-module
Model optimization
AI总结
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期刊
IF:
9.8
论文数:
2.3W
被引数:
10.1W
机构
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