M.-S. Sim | Just Do it Lab

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

Thu, 01 Jan 2026 00:00:00 +0000

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, 100712.

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

Wed, 01 Jan 2025 00:00:00 +0000

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

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

Mon, 01 Jan 2024 00:00:00 +0000

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 Sequential Ensemble Model, in IEEE Access