Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter

Recursive State of Charge and State of Health Estimation Method for Lithium-Ion Batteries Based on Coulomb Counting and Open Circuit Voltage

(2020) Alejandro Gismero et al.   Energies

A uniform estimation framework for state of health of lithium-ion batteries considering feature extraction and parameters optimization

(2020) Xing Shu et al.   ENERGY

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

(2020) Fangfang Yang et al.   ENERGY

An adaptive fusion estimation algorithm for state of charge of lithium-ion batteries considering wide operating temperature and degradation

(2020) Xing Shu et al.   JOURNAL OF POWER SOURCES

Online joint-prediction of multi-forward-step battery SOC using LSTM neural networks and multiple linear regression for real-world electric vehicles

(2020) Jichao Hong et al.   Journal of Energy Storage

An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation

(2020) Xing Shu et al.   ENERGY

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

Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles

(2020) Xing Shu et al.   JOURNAL OF POWER SOURCES

Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer

(2020) Li Sun et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An Approach to State of Charge Estimation of Lithium-Ion Batteries Based on Recurrent Neural Networks with Gated Recurrent Unit

(2019) Chaoran Li et al.   Energies

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

(2019) Fangfang Yang et al.   ENERGY

Online state of charge estimation of Li-ion battery based on an improved unscented Kalman filter approach

(2019) Zewang Chen et al.   APPLIED MATHEMATICAL MODELLING

State of Charge Estimation for Lithium-Ion Batteries Based on Adaptive Dual Kalman Filter

(2019) Yidan Xu et al.   APPLIED MATHEMATICAL MODELLING

An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries

(2019) Jiankun Peng et al.   APPLIED ENERGY

Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries

(2019) Chong Bian et al.   ENERGY

Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks

(2019) Aykut Beke et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

State estimation for advanced battery management: Key challenges and future trends

(2019) Xiaosong Hu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A framework for state-of-charge and remaining discharge time prediction using unscented particle filter

(2019) Yujie Wang et al.   APPLIED ENERGY

An adaptive sigma-point Kalman filter with state equality constraints for online state-of-charge estimation of a Li(NiMnCo)O2/Carbon battery using a reduced-order electrochemical model

(2019) Yalan Bi et al.   APPLIED ENERGY

A novel approach to reconstruct open circuit voltage for state of charge estimation of lithium ion batteries in electric vehicles

(2019) Xiaokai Chen et al.   APPLIED 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

A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation

(2018) Cheng Chen et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Analytical and Experimental Evaluation of SiC-Inverter Nonlinearities for Traction Drives Used in Electric Vehicles

(2018) Xiaofeng Ding et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network

(2018) Alvin Poernomo et al.   NEURAL NETWORKS

Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation

(2018) Chao Huang et al.   IEEE Access

State of charge estimation for electric vehicle power battery using advanced machine learning algorithm under diversified drive cycles

(2018) Taimoor Zahid et al.   ENERGY

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

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

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

A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile

(2016) Fangfang Yang et al.   APPLIED ENERGY

A novel multi-model probability battery state of charge estimation approach for electric vehicles using H-infinity algorithm

(2016) Cheng Lin et al.   APPLIED ENERGY

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