A lithium-ion battery state of health estimation method utilizing convolutional neural networks and bidirectional long short-term memory with attention mechanisms for …
T Yuan, F Gao, J Bai, H Sun - Journal of Power Sources, 2025 - Elsevier
Aiming at the battery management system measurement data vulnerability to cyber-attacks
and the poor universality of state of health (SOH) prediction under actual working conditions …
and the poor universality of state of health (SOH) prediction under actual working conditions …
Bio-Inspired Optimizer with Deep Learning Model for Energy Management System in Electric Vehicles
C Srinivasan, CS Joice - Sustainable Computing: Informatics and Systems, 2025 - Elsevier
The rising popularity of electric vehicles (EVs) stems from their enhanced performance and
environmental benefits. A critical challenge exists in optimizing the performance and …
environmental benefits. A critical challenge exists in optimizing the performance and …
A fast method for estimating remaining useful life of energy storage battery based on bidirectional synthetic square wave detection and ASO-BP
L Lei, H Haihong - Journal of Energy Storage, 2025 - Elsevier
Electrochemical impedance spectroscopy (EIS) contains rich electrochemical information
and was an important basis for determining the state of charge (SOC), state of health (SOH) …
and was an important basis for determining the state of charge (SOC), state of health (SOH) …
Fast joint SOC-SOH estimation method for energy storage batteries based on broadband excitation detection
L Luo, H Huang - Journal of Energy Storage, 2025 - Elsevier
The state of charge (SOC) and state of health (SOH) of energy storage batteries are
important parameters for the safe operation of energy storage systems. When dealing with …
important parameters for the safe operation of energy storage systems. When dealing with …