The paper proposes SOH-KLSTM, a hybrid LSTM model with a KAN-based candidate cell state, reporting a 97.12% reduction in RMSE vs a plain LSTM on the NASA B0005 battery dataset.
Optimizing electric vehicles efficiency with hybrid energy storage: Comparative analysis of rule-based and neural network power management systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
SOH-KLSTM: A Hybrid Kolmogorov-Arnold Network and LSTM Model for Enhanced Lithium-Ion Battery Health Monitoring
The paper proposes SOH-KLSTM, a hybrid LSTM model with a KAN-based candidate cell state, reporting a 97.12% reduction in RMSE vs a plain LSTM on the NASA B0005 battery dataset.