Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries
In recent years, the rapid evolution of transportation electrification has been propelled by the
widespread adoption of lithium-ion batteries (LIBs) as the primary energy storage solution …
widespread adoption of lithium-ion batteries (LIBs) as the primary energy storage solution …
[HTML][HTML] State of charge estimation of lithium batteries in wide temperature range based on MSIABC-AEKF algorithm
H Gao, H Shen, Y Yang, W Cai, Y Wang… - Alexandria Engineering …, 2024 - Elsevier
The key to a Battery Management System (BMS) is the accurate and real-time prediction of
the State of Charge (SOC) of the power battery. Currently, there is relatively little research on …
the State of Charge (SOC) of the power battery. Currently, there is relatively little research on …
[PDF][PDF] GAN-Based Synthesis of Multivariate Time-Series Data for Electric Vehicle Driving Scenarios
SL Jeng - 2024 - preprints.org
This paper presents a time-series point-to-point generative adversarial network (TS-
p2pGAN) for synthesizing realistic electric vehicle (EV) driving data. The model accurately …
p2pGAN) for synthesizing realistic electric vehicle (EV) driving data. The model accurately …