High-Accuracy Battery State of Charge Estimation Strategy Based on Deep Belief Network Cascaded With Extended Kalman Filter

Fast electrochemical impedance spectroscopy of lithium-ion batteries based on the large square wave excitation signal

(2023) Lujun Wang et al.   iScience

Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with Levy flight

(2022) Xinjian Mao et al.   Journal of Energy Storage

A deep belief network approach to remaining capacity estimation for lithium-ion batteries based on charging process features

(2022) Mengda Cao et al.   Journal of Energy Storage

State of charge estimation at different temperatures based on dynamic thermal model for lithium-ion batteries

(2022) Xuan Zheng et al.   Journal of Energy Storage

Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine

(2022) Dezhi Li et al.   ENERGY

A novel feedback correction-adaptive Kalman filtering method for the whole-life-cycle state of charge and closed-circuit voltage prediction of lithium-ion batteries based on the second-order electrical equivalent circuit model

(2022) Shunli Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Towards efficient state of charge estimation of lithium-ion batteries using canonical correlation analysis

(2022) Zichuan Ni et al.   ENERGY

A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF

(2022) Zhenhua Cui et al.   ENERGY

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation

(2022) Shunli Wang et al.   ENERGY

Energy management strategy based on health state for a PEMFC/Lithium-ion batteries hybrid power system

(2022) Chuang Sheng et al.   ENERGY CONVERSION AND MANAGEMENT

SOC estimation based on the gas‐liquid dynamics model using particle filter algorithm

(2022) Huanhuan Li et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review

(2022) Aaruththiran Manoharan et al.   Journal of Energy Storage

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

(2022) Junxiong Chen et al.   Journal of Energy Storage

A novel Dual Fractional-Order Extended Kalman Filter for the improved estimation of battery state of charge

(2022) Pablo Rodríguez-Iturriaga et al.   Journal of Energy Storage

Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network

(2021) Van Quan Dao et al.   Energies

An Open Circuit Voltage Model Fusion Method for State of Charge Estimation of Lithium-Ion Batteries

(2021) Quanqing Yu et al.   Energies

An Immune Genetic Extended Kalman Particle Filter approach on state of charge estimation for lithium-ion battery

(2021) Jiang Zhengxin et al.   ENERGY

State of charge estimation of power lithium-ion battery based on an adaptive time scale dual extend Kalman filtering

(2021) Muyao Wu et al.   Journal of Energy Storage

State of charge estimation of lithium-ion batteries based on cubature Kalman filters with different matrix decomposition strategies

(2021) Yong Tian et al.   ENERGY

A comprehensive review on the state of charge estimation for lithium‐ion battery based on neural network

(2021) Zhenhua Cui et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

An adaptive central difference Kalman filter approach for state of charge estimation by fractional order model of lithium-ion battery

(2021) Lin He et al.   ENERGY

An Incremental Voltage Difference Based Technique for Online State of Health Estimation of Li-ion Batteries

(2020) Arunava Naha et al.   Scientific Reports

State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach

(2020) Dickshon N. T. How et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

A novel practical state of charge estimation method: an adaptive improved ampere‐hour method based on composite correction factor

(2020) Xin Xiong et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

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

Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model

(2020) Xing Shu et al.   IEEE Transactions on Transportation Electrification

Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries

(2019) Zonghai Chen et al.   JOURNAL OF POWER SOURCES

A novel adaptive state of charge estimation method of full life cycling lithium‐ion batteries based on the multiple parameter optimization

(2019) Wen Cao et al.   Energy Science & Engineering

SOC Estimation with an Adaptive Unscented Kalman Filter Based on Model Parameter Optimization

(2019) Xiangwei Guo et al.   Applied Sciences-Basel

State-of-charge inconsistency estimation of lithium-ion battery pack using mean-difference model and extended Kalman filter

(2018) Yuejiu Zheng et al.   JOURNAL OF POWER SOURCES

Robust Adaptive Sliding-Mode Observer Using RBF Neural Network for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles

(2016) Xiaopeng Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

State of Charge Estimation of Lithium-Ion Batteries in Electric Drive Vehicles Using Extended Kalman Filtering

(2012) Zheng Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING