State-of-Charge Estimation for Lithium-Ion Batteries Using Residual Convolutional Neural Networks. [PDF]
Sensors (Basel), 2022 Wang YC +4 more
europepmc +1 more source
Online Prediction of Battery Discharge and Estimation of Parasitic Loads for an Electric Aircraft [PDF]
Predicting whether or not vehicle batteries contain sufficient charge to support operations over the remainder of a given flight plan is critical for electric aircraft.
Bole, Brian +2 more
core +1 more source
State of Charge Estimation of Lithium-Ion Batteries Based on an Adaptive Iterative Extended Kalman Filter for AUVs. [PDF]
Sensors (Basel), 2022 Fu Y, Zhai B, Shi Z, Liang J, Peng Z.
europepmc +1 more source
A Novel Fusion Method for State-of-Charge Estimation of Lithium-Ion Batteries Based on Improved Genetic Algorithm BP and Adaptive Extended Kalman Filter. [PDF]
Sensors (Basel), 2023 Cao L, Shao C, Zhang Z, Cao S.
europepmc +1 more source
State of Charge Estimation of Battery Based on Neural Networks and Adaptive Strategies with Correntropy. [PDF]
Sensors (Basel), 2022 Navega Vieira R +3 more
europepmc +1 more source
A Dual-Input Neural Network for Online State-of-Charge Estimation of the Lithium-Ion Battery throughout Its Lifetime. [PDF]
Materials (Basel), 2022 Qian C +5 more
europepmc +1 more source
Cell modelling for state-of-charge and state-of-health estimation
, 2023 La precisión en la modelización de las baterías es fundamental para gestionar eficazmente la energía, prolongar su vida útil y garantizar su seguridad operativa. En el campo de la tecnología de celdas de batería de iones de litio (Li-ion), la estimación precisa del estado de carga (SOC) y el estado de salud (SOH) es esencial para lograr un rendimiento ...
openaire +1 more source
IEEE AccessIn this study, a novel Machine learning-based method for the joint State of Charge and State of Health estimation of Lithium Batteries that tackle real-world applications and with Bayesian Hyperparameter optimization is proposed.
Panagiotis Eleftheriadis +4 more
doaj +1 more source
State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder-Decoder Bi-Directional LSTM for EV and HEV Applications. [PDF]
Micromachines (Basel), 2022 Terala PK +4 more
europepmc +1 more source
Embedded impedance based state-of-charge estimation
, 2014 Estimating the battery state-of-charge is an important aspect of prolonging battery life and optimizing discharge cycles. In this thesis, a hybrid method for estimating state-of-charge for lead-acid batteries is developed and implemented in a motor controller.
openaire +1 more source