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Y. Naif

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Open access Aug 2026

Residual BiLSTM-Based Error Correction Network for Li-Ion Battery SOC Estimation

Results demonstrate that integrating offline covariance optimization with BiLSTM-based residual learning improves estimation accuracy, robustness, and cross-battery generalization, providing a practical solution for lithium-ion battery SOC estimation in battery management systems.

M. I. al-Hiyali, Y. Naif, Ramani Kannan et al. · 0 citations

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