State-of-Charge Estimation of Lithium-Ion Batteries in the Battery Degradation Process Based on Recurrent Neural Network

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

(2019) Fangfang Yang et al.   ENERGY

State-of-charge estimation of lithium-ion battery using an improved neural network model and extended Kalman filter

(2019) Cheng Chen et al.   JOURNAL OF CLEANER PRODUCTION

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

A single particle model with chemical/mechanical degradation physics for lithium ion battery State of Health (SOH) estimation

(2018) J. Li et al.   APPLIED ENERGY

A fast estimation algorithm for lithium-ion battery state of health

(2018) Xiaopeng Tang et al.   JOURNAL OF POWER SOURCES

Design and implementation of a battery management system with active charge balance based on the SOC and SOH online estimation

(2018) Hongbin Ren et al.   ENERGY

SOC estimation for lithium batteries based on the full parallel nonlinear autoregressive neural network with external inputs

(2018) Jianhua Li et al.   Journal of Renewable and Sustainable Energy

An Online SOC and SOH Estimation Model for Lithium-Ion Batteries

(2017) Shyh-Chin Huang et al.   Energies

Real-Time Model-Based Estimation of SOC and SOH for Energy Storage Systems

(2017) Mario Cacciato et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

(2017) Hicham Chaoui et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

On state-of-charge determination for lithium-ion batteries

(2017) Zhe Li et al.   JOURNAL OF POWER SOURCES

A new neural network model for the state-of-charge estimation in the battery degradation process

(2014) LiuWang Kang et al.   APPLIED ENERGY

State of charge estimation for Li-ion batteries using neural network modeling and unscented Kalman filter-based error cancellation

(2014) Wei He et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

(2012) Hongwen He et al.   ENERGY

Estimation of Battery State of Health Using Probabilistic Neural Network

(2012) Ho-Ta Lin et al.   IEEE Transactions on Industrial Informatics

Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles

(2011) Fengchun Sun et al.   ENERGY

Kalman filtering state of charge estimation for battery management system based on a stochastic fuzzy neural network battery model

(2011) Long Xu et al.   ENERGY CONVERSION AND MANAGEMENT

Intelligent prognostics for battery health monitoring based on sample entropy

(2011) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Recurrent Neural Network-Based Modeling and Simulation of Lead-Acid Batteries Charge–Discharge

(2011) Giacomo Capizzi et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

State-of-Charge Estimation and State-of-Health Prediction of a Li-Ion Degraded Battery Based on an EKF Combined With a Per-Unit System

(2011) Jonghoon Kim et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

State-of-charge prediction of batteries and battery–supercapacitor hybrids using artificial neural networks

(2010) T. Weigert et al.   JOURNAL OF POWER SOURCES

Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries

(2009) Kong Soon Ng et al.   APPLIED ENERGY

Soft Computing for Battery State-of-Charge (BSOC) Estimation in Battery String Systems

(2008) Yuang-Shung Lee et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS