[HTML][HTML] Adaptable capacity estimation of lithium-ion battery based on short-duration random constant-current charging voltages and convolutional neural networks
The accurate lithium-ion battery capacity estimation is vital for ensuring the safe and reliable
operation of battery-powered systems. Existing data-driven methods heavily rely on fixed …
operation of battery-powered systems. Existing data-driven methods heavily rely on fixed …
Multi-timescale inconsistency evaluation and data-driven state of health prediction for circulating water-cooled series battery pack
J Feng, F Cai, X Zhan, K Huang, S Wang, X Zhang - Measurement, 2025 - Elsevier
Inter-cell inconsistency significantly challenges battery pack lifetime, performance, and
safety. Current research is deficient in evaluation across multiple time scales and correlation …
safety. Current research is deficient in evaluation across multiple time scales and correlation …
Capacity estimation of lithium-ion batteries with automatic feature extraction and graph-enhanced LSTM
J Xu, J Qu, H Xu - Journal of Energy Storage, 2024 - Elsevier
Accurate battery capacity estimation is a key task in ensuring the safe and reliable operation
of lithium-ion batteries and alleviating driver range anxiety. Most existing data-driven …
of lithium-ion batteries and alleviating driver range anxiety. Most existing data-driven …
Enhancing Energy Supply Reliability for University Lecture Halls Using Photovoltaic-Battery Microgrids: A South African Case Study
OS Showers, S Chowdhury - Energies, 2024 - mdpi.com
Institutions of higher learning in South Africa are grappling with occasional power outages in
lecture halls, leading to disruptions in academic activities and occasional loss of lecture …
lecture halls, leading to disruptions in academic activities and occasional loss of lecture …
A Comprehensive Analysis: Integrating Renewable Energy Sources With Wire/Wireless EV Charging Systems for Green Mobility
Integrating renewable energy resources into the existing generation capacity can handle the
additional load resulting from the EV charging system, even when the majority of the EVs are …
additional load resulting from the EV charging system, even when the majority of the EVs are …
Highly Self-Adaptive Path-Planning Method for Unmanned Ground Vehicle Based on Transformer Encoder Feature Extraction and Incremental Reinforcement …
T Zhang, J Fan, N Zhou, Z Gao - Machines, 2024 - mdpi.com
Path planning is an indispensable component in guiding unmanned ground vehicles
(UGVs) from their initial positions to designated destinations, aiming to determine …
(UGVs) from their initial positions to designated destinations, aiming to determine …
Distributed Model Predictive Control Based on Bus Voltage Derivative and SoC Dynamic Model for Shipboard DC Microgrids.
Abstract State-of-charge (SoC) consistency and bus voltage regulation are two major control
objectives of shipboard DC microgrids. To achieve these objectives, this paper presents a …
objectives of shipboard DC microgrids. To achieve these objectives, this paper presents a …