State of charge estimation for lithium-ion batteries using gated recurrent unit recurrent neural network and adaptive Kalman filter

State-of-charge estimation tolerant of battery aging based on a physics-based model and an adaptive cubature Kalman filter

(2021) Xiaoyu Li et al.   ENERGY

State-of-charge estimation of lithium-ion battery pack by using an adaptive extended Kalman filter for electric vehicles

(2021) Zhiyong Zhang et al.   Journal of Energy Storage

State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach

(2021) Jinpeng Tian et al.   APPLIED ENERGY

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

(2021) Junxiong Chen et al.   ENERGY

A novel state of charge estimation method for lithium-ion batteries based on bias compensation

(2021) Tiancheng Ouyang et al.   ENERGY

A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

(2021) Zuolu Wang et al.   Energy Reports

A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter

(2020) Yong Tian et al.   APPLIED ENERGY

Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model

(2020) Fei Feng et al.   JOURNAL OF POWER SOURCES

A GRU-RNN based momentum optimized algorithm for SOC estimation

(2020) Meng Jiao et al.   JOURNAL OF POWER SOURCES

State-of-charge estimation of lithium-ion batteries using LSTM and UKF

(2020) Fangfang Yang et al.   ENERGY

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

(2020) Zhongwei Deng et al.   ENERGY

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks

(2020) Mohammad Fasahat et al.   JOURNAL OF POWER SOURCES

State of charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator

(2020) Daoming Sun et al.   ENERGY

Data-driven state of charge estimation of lithium-ion batteries: Algorithms, implementation factors, limitations and future trends

(2020) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

Improving the state of charge estimation of reused lithium-ion batteries by abating hysteresis using machine learning technique

(2020) Zhicheng Xu et al.   Journal of Energy Storage

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

(2019) Fangfang Yang et al.   ENERGY

Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks

(2019) Jichao Hong et al.   APPLIED 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

Overview of model-based online state-of-charge estimation using Kalman filter family for lithium-ion batteries

(2019) Prashant Shrivastava et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Differential voltage analysis based state of charge estimation methods for lithium-ion batteries using extended Kalman filter and particle filter

(2018) Linfeng Zheng et al.   ENERGY

Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

(2018) Ephrem Chemali et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

(2018) Ephrem Chemali et al.   JOURNAL OF POWER SOURCES

A multi-model probability SOC fusion estimation approach using an improved adaptive unscented Kalman filter technique

(2017) Yanwen Li et al.   ENERGY

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 review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations

(2017) M.A. Hannan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures

(2013) Yinjiao Xing et al.   APPLIED ENERGY

Advancements in OCV Measurement and Analysis for Lithium-Ion Batteries

(2013) Mathias Petzl et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Support Vector Machines Used to Estimate the Battery State of Charge

(2013) Juan Carlos Alvarez Anton et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

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

State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF

(2010) Mohammad Charkhgard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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