Convolutional autoencoder-based SOH estimation of lithium-ion batteries using electrochemical impedance spectroscopy

Multistage State of Health Estimation of Lithium-Ion Battery With High Tolerance to Heavily Partial Charging

(2022) Zhongbao Wei et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Capacity estimation of lithium-ion batteries using convolutional neural network and impedance spectra

(2022) T. K. Pradyumna et al.   Journal of Power Electronics

Hybrid Methods Using Neural Network and Kalman Filter for the State of Charge Estimation of Lithium-Ion Battery

(2022) Zhenhua Cui et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Lithium-Ion Battery State of Health Estimation Based on Electrochemical Impedance Spectroscopy and Cuckoo Search Algorithm Optimized Elman Neural Network

(2022) Chun Chang et al.   Journal of Electrochemical Energy Conversion and Storage

State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression

(2022) Qianglong Li et al.   Journal of Energy Storage

Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries

(2022) Dezhi Li et al.   Energies

Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning

(2021) Yihuan Li et al.   APPLIED ENERGY

Convolutional neural network based capacity estimation using random segments of the charging curves for lithium-ion batteries

(2021) Cheng Qian et al.   ENERGY

State of charge prediction of EV Li-ion batteries using EIS: A machine learning approach

(2021) Iman Babaeiyazdi et al.   ENERGY

Electrochemical Impedance Spectroscopy for All‐Solid‐State Batteries: Theory, Methods and Future Outlook

(2021) Pooja Vadhva et al.   ChemElectroChem

Review—Use of Impedance Spectroscopy for the Estimation of Li-ion Battery State of Charge, State of Health and Internal Temperature

(2021) Kieran Mc Carthy et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

Development of a battery real-time state of health diagnosis based on fast impedance measurements

(2021) Edoardo Locorotondo et al.   Journal of Energy Storage

Impedance-based capacity estimation for lithium-ion batteries using generative adversarial network

(2021) Seongyoon Kim et al.   APPLIED ENERGY

State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network

(2021) Zheng Chen et al.   JOURNAL OF POWER SOURCES

State-of-health estimation using a neural network trained on vehicle data

(2021) Jacob C. Hamar et al.   JOURNAL OF POWER SOURCES

A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries

(2021) Mingqiang Lin et al.   JOURNAL OF POWER SOURCES

The capacity prediction of Li-ion batteries based on a new feature extraction technique and an improved extreme learning machine algorithm

(2021) Ting Tang et al.   JOURNAL OF POWER SOURCES

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

(2021) Xing Shu et al.   iScience

Modeling and Applications of Electrochemical Impedance Spectroscopy (EIS) for Lithium-ion Batteries

(2020) Woosung Choi et al.   Journal of Electrochemical Science and Technology

State-of-health estimation and remaining useful life prediction for the lithium-ion battery based on a variant long short term memory neural network

(2020) Penghua Li et al.   JOURNAL OF POWER SOURCES

A review of the state of health for lithium-ion batteries: Research status and suggestions

(2020) Huixin Tian et al.   JOURNAL OF CLEANER PRODUCTION

A novel deep learning framework for state of health estimation of lithium-ion battery

(2020) Yaxiang Fan et al.   Journal of Energy Storage

State-of-health estimators coupled to a random forest approach for lithium-ion battery aging factor ranking

(2020) Kodjo S.R. Mawonou et al.   JOURNAL OF POWER SOURCES

Data-driven prediction of battery cycle life before capacity degradation

(2019) Kristen A. Severson et al.   Nature Energy

A review on battery management system from the modeling efforts to its multiapplication and integration

(2019) Ming Shen et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Developing a real-time data-driven battery health diagnosis method, using time and frequency domain condition indicators

(2019) S. Khaleghi et al.   APPLIED ENERGY

Deep convolutional neural networks with ensemble learning and transfer learning for capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   APPLIED ENERGY

Fast Approach for Battery Impedance Identification Using Pseudo-Random Sequence Signals

(2019) Jussi Sihvo et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

SDCA: a novel stack deep convolutional autoencoder – an application on retinal image denoising

(2019) Swarup Kr Ghosh et al.   IET Image Processing

Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis

(2019) Piyush Tagade et al.   JOURNAL OF POWER SOURCES

Online Estimation of the Electrochemical Impedance Spectrum and Remaining Useful Life of Lithium-Ion Batteries

(2018) Arijit Guha et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A novel Gaussian process regression model for state-of-health estimation of lithium-ion battery using charging curve

(2018) Duo Yang et al.   JOURNAL OF POWER SOURCES

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

(2018) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

Random forest regression for online capacity estimation of lithium-ion batteries

(2018) Yi Li et al.   APPLIED ENERGY

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

(2018) Rui Xiong et al.   JOURNAL OF POWER SOURCES

A Scalable Active Battery Management System With Embedded Real-Time Electrochemical Impedance Spectroscopy

(2017) Eric Din et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO–SVR model

(2015) Taichun Qin et al.   MICROELECTRONICS RELIABILITY

Lithium batteries: Status, prospects and future

(2009) Bruno Scrosati et al.   JOURNAL OF POWER SOURCES