An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks. [PDF]
Sensors (Basel)Pourbunthidkul S +4 more
europepmc +1 more source
Annual report of the Secretary of State, State of Louisiana.
Description based on: 1877.Report year ends Dec.
Louisiana. Department of State.
core
Deep learning-based state of charge estimation for electric vehicle batteries: Overcoming technological bottlenecks. [PDF]
HeliyonLin SL.
europepmc +1 more source
Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systems. [PDF]
Data BriefSelim A, Mo H, Pota H.
europepmc +1 more source
A simulation-driven prediction model for state of charge estimation of electric vehicle lithium battery. [PDF]
HeliyonZhang J, Song C, Xiang J.
europepmc +1 more source
Research on precise lithium battery state of charge estimation method based on CALSE-LSTM model and pelican algorithm. [PDF]
HeliyonDing Z +9 more
europepmc +1 more source
Efficient state of charge estimation of lithium-ion batteries in electric vehicles using evolutionary intelligence-assisted GLA-CNN-Bi-LSTM deep learning model. [PDF]
HeliyonKhan MK +5 more
europepmc +1 more source
Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach. [PDF]
HeliyonJafari S, Byun YC.
europepmc +1 more source
Effect of sucrose-based carbon foams as negative electrode additive on the performance of lead-acid batteries under high-rate partial-state-of-charge condition. [PDF]
HeliyonXie F +6 more
europepmc +1 more source