A novel joint estimation for core temperature and state of charge of lithium-ion battery based on classification approach and convolutional neural network
Y Li, C Ma, K Liu, L Chang, C Zhang, B Duan - Energy, 2024 - Elsevier
The core temperature (CT) of lithium-ion batteries (LIBs) is crucial for effective thermal
management, and is significantly influenced by the state of charge (SOC) among other …
management, and is significantly influenced by the state of charge (SOC) among other …
Accurate evaluation on peak shaving capacity of combined-heat-and-power thermal power units based on physical information neural network
Y Chen, Z Qin, C Lin, J Liu, D Yu - Applied Thermal Engineering, 2025 - Elsevier
The high proportion of new energy requires the power system to have sufficient flexibility
and peak shaving capacity. The combined-heat-and-power thermal power unit is one of the …
and peak shaving capacity. The combined-heat-and-power thermal power unit is one of the …
Adaptive Sliding Window–Dynamic Time Warping-Based Fluctuation Series Prediction for the Capacity of Lithium-Ion Batteries
S Sun, M Gu, T Liu - Electronics, 2024 - mdpi.com
Accurately predicting the capacity of lithium-ion batteries is crucial for improving battery
reliability and preventing potential incidents. Current prediction models for predicting lithium …
reliability and preventing potential incidents. Current prediction models for predicting lithium …
Core Temperature Estimation of Lithium-Ion Batteries Using Long Short-Term Memory (LSTM) Network and Kolmogorov-Arnold Network (KAN)
Health-conscious battery management systems (BMS), considering only the surface
temperature is insufficient for automotive lithium-ion batteries (LIBs). Experimental studies …
temperature is insufficient for automotive lithium-ion batteries (LIBs). Experimental studies …