AIBullisharXiv – CS AI · 8h ago6/10
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C2L-Net: A Data-Driven Model for State-of-Charge Estimation of Lithium-Ion Batteries During Discharge
Researchers propose C2L-Net, a data-driven neural network architecture that improves state-of-charge (SOC) estimation for lithium-ion batteries using only 20-second historical windows. The model achieves up to 60x faster inference than existing methods while maintaining competitive accuracy, addressing computational inefficiency and positional bias problems in battery management systems.