Results 111 to 120 of about 625,474 (199)

CNN-LSTM optimized with SWATS for accurate state-of-charge estimation in lithium-ion batteries considering internal resistance. [PDF]

Sci Rep
Zhang Z, Liu C, Li T, Wang T, Cui Y, Zhao P.   +5 more
europepmc   +1 more source

State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms. [PDF]

Sensors (Basel)
Carrera R, Quiroz L, Guevara C, Acosta-Vargas P.   +3 more
europepmc   +1 more source

Enhanced state of charge estimation in electric vehicle batteries using chicken swarm optimization with open ended learning. [PDF]

Sci Rep
Afzal MZ, Wen F, Saeed N, Aurangzeb M.
europepmc   +1 more source

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, Pahaisuk N, Laon P, Houngkamhang N, Phasukkit P.   +4 more
europepmc   +1 more source

Deep learning-based state of charge estimation for electric vehicle batteries: Overcoming technological bottlenecks. [PDF]

Heliyon
Lin SL.
europepmc   +1 more source

State of charge estimation for lithium-based batteries

, 2020
This thesis proposes a new State of Charge (SOC) estimation method for lithium based batteries, which offers a good trade-off between convergence and computation times. Lithium-based battery packages are quite common in the automotive industry and beyond because of their high-power density and dynamic response capabilities.
openaire   +1 more source

A simulation-driven prediction model for state of charge estimation of electric vehicle lithium battery. [PDF]

Heliyon
Zhang 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]

Heliyon
Ding Z, Hu D, Jing Y, Ma M, Xie Y, Yin Q, Zeng X, Zhang C, Peng T, Ji J.   +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]

Heliyon
Khan MK, Houran MA, Kauhaniemi K, Zafar MH, Mansoor M, Rashid S.   +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]

Heliyon
Jafari S, Byun YC.
europepmc   +1 more source