Adaptive Online State of Charge Estimation of EVs Lithium-Ion Batteries with Deep Recurrent Neural Networks

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 for Lithium-Ion Battery Using Improved DUKF Based on State-Parameter Separation

(2019) Yu et al.   Energies

State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles

(2018) Ruifeng Zhang et al.   Energies

State of charge estimation of lithium-ion batteries using optimized Levenberg-Marquardt wavelet neural network

(2018) Bizhong Xia 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

Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm

(2018) Mahammad A. Hannan et al.   IEEE Access

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

Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters

(2017) Quanqing Yu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Experimental validation for Li-ion battery modeling using Extended Kalman Filters

(2017) F. Claude et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Robust and Adaptive Online Time Series Prediction with Long Short-Term Memory

(2017) Haimin Yang et al.   Computational Intelligence and Neuroscience

SoC Estimation for Lithium-ion Batteries: Review and Future Challenges

(2017) Juan Rivera-Barrera et al.   Electronics

Influence of different open circuit voltage tests on state of charge online estimation for lithium-ion batteries

(2016) Fangdan Zheng et al.   APPLIED ENERGY

Open-Circuit Voltage-Based State of Charge Estimation of Lithium-ion Battery Using Dual Neural Network Fusion Battery Model

(2016) Xuanju Dang et al.   ELECTROCHIMICA ACTA

A Practical Scheme to Involve Degradation Cost of Lithium-Ion Batteries in Vehicle-to-Grid Applications

(2016) Hossein Farzin et al.   IEEE Transactions on Sustainable Energy

Extended Kalman Filter with a Fuzzy Method for Accurate Battery Pack State of Charge Estimation

(2015) Saeed Sepasi et al.   Energies

Design of adaptive H ∞ filter for implementing on state-of-charge estimation based on battery state-of-charge-varying modelling

(2015) Mohammad Charkhgard et al.   IET Power Electronics

Electric vehicle state of charge estimation: Nonlinear correlation and fuzzy support vector machine

(2015) Hanmin Sheng et al.   JOURNAL OF POWER SOURCES

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

Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles

(2013) Habiballah Rahimi-Eichi et al.   IEEE Industrial Electronics Magazine

Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries

(2012) Dave Andre et al.   JOURNAL OF POWER SOURCES

Battery-Management System (BMS) and SOC Development for Electrical Vehicles

(2010) K. W. E. Cheng et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY