M.-S. Sim

Early deployment of deep learning models for lithium-ion battery state-of-health prediction with limited initial data

Sim, M.-S., Noh, J., & Yoon, Y.-J. (2026). Early deployment of deep learning models for lithium-ion battery state-of-health prediction with limited initial data. Energy and AI, …

M.-S. Sim

• Jan 1, 2026 • 1 min read

Data-Augmented Online Updating of a Transformer–LSTM for Battery State Prediction

Sim, M.-S., Lim. J., Noh, J, Yoon, Y.-J. (2025). Data-Augmented Online Updating of a Transformer–LSTM for Battery State Prediction, KSME, 2203-2203

M.-S. Sim

• Jan 1, 2025 • 1 min read

Real-time Predicting the Low-Temperature Performance of WLTC-based Lithium-Ion Battery Using an LSTM-PF Sequential Ensemble Model

M. -S. Sim, D. -Y. Kim, Y.-J. Yoon, S. -W. Kang and J. D. Baek, (2024), Real-time Predicting the Low-Temperature Performance of WLTC-based Lithium-Ion Battery Using an LSTM-PF …

M.-S. Sim

• Jan 1, 2024 • 1 min read

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M.-S. Sim

Early deployment of deep learning models for lithium-ion battery state-of-health prediction with limited initial data

Data-Augmented Online Updating of a Transformer–LSTM for Battery State Prediction

Real-time Predicting the Low-Temperature Performance of WLTC-based Lithium-Ion Battery Using an LSTM-PF Sequential Ensemble Model