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State of power prediction joint fisher optimal segmentation and PO-BP neural network for a parallel battery pack considering cell inconsistency
Accurate state of power (SOP) of battery is critical for efficient control and stable operation of
electric vehicles. Due to cell inconsistency and even varying degrees of discrepancy …
electric vehicles. Due to cell inconsistency and even varying degrees of discrepancy …
Innovative multiscale fusion–Antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries
J Tao, S Wang, W Cao, Y Cui, C Fernandez… - Energy, 2024 - Elsevier
An accurate assessment of lithium-ion (Li-ion) batteries' state of health (SOH) is essential for
the safe operation of new energy systems and extended battery life. Health factors were …
the safe operation of new energy systems and extended battery life. Health factors were …
BMSFormer: An efficient deep learning model for online state-of-health estimation of lithium-ion batteries under high-frequency early SOC data with strong correlated …
X Li, M Zhao, S Zhong, J Li, S Fu, Z Yan - Energy, 2024 - Elsevier
The efficient and accurate state-of-health (SOH) estimation is crucial for reducing risks and
ensuring effective application in battery management systems (BMS) of resource-limited …
ensuring effective application in battery management systems (BMS) of resource-limited …
AM-MFF: A multi-feature fusion framework based on attention mechanism for robust and interpretable lithium-ion battery state of health estimation
SZ Chen, J Liu, H Yuan, Y Tao, F Xu, L Yang - Applied Energy, 2025 - Elsevier
State of health (SOH) is a crucial parameter in a battery management system (BMS). Using
multiple sources of data effectively improves the end-to-end SOH estimation performance …
multiple sources of data effectively improves the end-to-end SOH estimation performance …
Joint estimation of SOC and peak power capability for series reused battery pack based on screening process method
Y Zhang, B Liu, H Zhang, R Kuang, Y Xu, J Zhang… - Energy, 2024 - Elsevier
Lithium-ion battery disposal is becoming an increasingly important issue with the rapid
growth of Electric Vehicles (EVs) regarding resource conservation and environmental …
growth of Electric Vehicles (EVs) regarding resource conservation and environmental …
Early perception of Lithium-ion battery degradation trajectory with graphical features and deep learning
Capturing the degradation path of lithium-ion battery (LIB) at the early stage is critical to
managing the whole lifespan of the battery energy storage systems (BESS), while recent …
managing the whole lifespan of the battery energy storage systems (BESS), while recent …
State of health estimation joint improved grey wolf optimization algorithm and LSTM using partial discharging health features for lithium-ion batteries
Accurate estimation of the state of health (SOH) of lithium-ion batteries is crucial for the
safety and operation of electric vehicles. The accuracy and efficiency of SOH estimation are …
safety and operation of electric vehicles. The accuracy and efficiency of SOH estimation are …
State of health estimation of lithium-ion batteries based on feature optimization and data-driven models
G Mu, Q Wei, Y Xu, J Li, H Zhang, F Yang, J Zhang… - Energy, 2025 - Elsevier
With the widespread application of lithium-ion batteries in electric vehicles, accurately
estimating their state of health (SOH) has become a key focus of research. This paper …
estimating their state of health (SOH) has become a key focus of research. This paper …
An innovative multitask learning-Long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying …
J Tao, S Wang, W Cao, C Fernandez, F Blaabjerg… - Energy, 2025 - Elsevier
As the new industrial revolution accelerates, new energy storage systems are becoming
increasingly vital to the industrial chain. The overall performance of the battery management …
increasingly vital to the industrial chain. The overall performance of the battery management …
State-of-Health Prediction of Lithium-Ion Batteries Using Feature Fusion and a Hybrid Neural Network Model
Y Li, G Gao, K Chen, S He, K Liu, D **n, Y Luo, Z Long… - Energy, 2025 - Elsevier
With their high energy density and long cycle life, lithium-ion batteries are vital components
of energy storage systems. However, accurate State of Health (SOH) prediction remains …
of energy storage systems. However, accurate State of Health (SOH) prediction remains …