Flexible battery state of health and state of charge estimation using partial charging data and deep learning

Deep learning enabled state-of-charge estimation of LiFePO4 batteries: A systematic validation on state-of-the-art charging protocols

(2022) Chunsheng Hu et al.   ENERGY

Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation

(2022) Jiangong Zhu et al.   Nature Communications

Integrating Physics-Based Modeling and Machine Learning for Degradation Diagnostics of Lithium-Ion Batteries

(2022) Adam Thelen et al.   Energy Storage Materials

Prediction of Li-ion battery capacity degradation considering polarization recovery with a hybrid ensemble learning model

(2022) Zheming Tong et al.   Energy Storage Materials

Battery state-of-charge estimation amid dynamic usage with physics-informed deep learning

(2022) Jinpeng Tian et al.   Energy Storage Materials

Electrode ageing estimation and open circuit voltage reconstruction for lithium ion batteries

(2021) Jinpeng Tian et al.   Energy Storage Materials

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

(2021) Jinpeng Tian et al.   APPLIED ENERGY

Deep neural network battery charging curve prediction using 30 points collected in 10 min

(2021) Jinpeng Tian et al.   Joule

Predicting battery end of life from solar off-grid system field data using machine learning

(2021) Antti Aitio et al.   Joule

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

(2021) Xing Shu et al.   iScience

Automated Feature Extraction and Selection for Data-Driven Models of Rapid Battery Capacity Fade and End of Life

(2021) Samuel Greenbank et al.   IEEE Transactions on Industrial Informatics

A generalizable, data-driven online approach to forecast capacity degradation trajectory of lithium batteries

(2021) Xinyan Liu et al.   Journal of Energy Chemistry

Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification

(2021) Le Xu et al.   Energy Storage Materials

Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning

(2020) Yunwei Zhang et al.   Nature Communications

Digital twin for battery systems: Cloud battery management system with online state-of-charge and state-of-health estimation

(2020) Weihan Li et al.   Journal of Energy Storage

Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis

(2020) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES

A deep learning method for online capacity estimation of lithium-ion batteries

(2019) Sheng Shen et al.   Journal of Energy Storage

Battery warm-up methodologies at subzero temperatures for automotive applications: Recent advances and perspectives

(2019) Xiaosong Hu et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries

(2018) Robert R. Richardson et al.   IEEE Transactions on Industrial Informatics

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

A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter

(2018) Yi Li et al.   JOURNAL OF POWER SOURCES

Investigating the error sources of the online state of charge estimation methods for lithium-ion batteries in electric vehicles

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

A fast estimation algorithm for lithium-ion battery state of health

(2018) Xiaopeng Tang et al.   JOURNAL OF POWER SOURCES

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

(2018) Yi Li et al.   APPLIED ENERGY

A comparative study of global optimization methods for parameter identification of different equivalent circuit models for Li-ion batteries

(2018) Xin Lai et al.   ELECTROCHIMICA ACTA

A Novel Fractional Order Model for State of Charge Estimation in Lithium Ion Batteries

(2018) Rui Xiong et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Degradation diagnostics for lithium ion cells

(2017) Christoph R. Birkl et al.   JOURNAL OF POWER SOURCES

Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model

(2016) Linfeng Zheng et al.   APPLIED ENERGY

Capacity Fade Estimation in Electric Vehicle Li-Ion Batteries Using Artificial Neural Networks

(2015) Ala A. Hussein   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Enhancing the estimation accuracy in low state-of-charge area: A novel onboard battery model through surface state of charge determination

(2014) Minggao Ouyang et al.   JOURNAL OF POWER SOURCES

On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression

(2013) Caihao Weng et al.   JOURNAL OF POWER SOURCES