Battery health estimation with degradation pattern recognition and transfer learning

Predictive Battery Health Management With Transfer Learning and Online Model Correction

(2021) Yunhong Che et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Sensitivity Analysis and Joint Estimation of Parameters and States for All-Solid-State Batteries

(2021) Zhongwei Deng et al.   IEEE Transactions on Transportation Electrification

Data-driven state of charge estimation for lithium-ion battery packs based on Gaussian process regression

(2020) Zhongwei Deng et al.   ENERGY

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

A fast screening framework for second-life batteries based on an improved bisecting K-means algorithm combined with fast pulse test

(2020) Zihao Zhou et al.   Journal of Energy Storage

Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach

(2020) Xiaosong Hu et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Capacity estimation of lithium-ion cells by combining model-based and data-driven methods based on a sequential extended Kalman filter

(2020) Xin Lai et al.   ENERGY

General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries

(2020) Zhongwei Deng et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning

(2020) Xiaosong Hu et al.   IEEE Transactions on Transportation Electrification

Data-driven prediction of battery cycle life before capacity degradation

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

Prognostic health condition for lithium battery using the partial incremental capacity and Gaussian process regression

(2019) Xiaoyu Li et al.   JOURNAL OF POWER SOURCES

An open circuit voltage-based model for state-of-health estimation of lithium-ion batteries: Model development and validation

(2019) Xiaolei Bian et al.   JOURNAL OF POWER SOURCES

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

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

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

(2019) Sheng Shen et al.   APPLIED ENERGY

Online state-of-health estimation for lithium-ion batteries using constant-voltage charging current analysis

(2018) Jufeng Yang 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

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

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

Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries

(2018) M. Schimpe et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

The lithium-ion battery: State of the art and future perspectives

(2018) Ghassan Zubi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks

(2017) Gae-Won You et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Battery State of Health Monitoring by Estimation of Side Reaction Current Density Via Retrospective-Cost Subsystem Identification

(2017) Xin Zhou et al.   JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME

Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery

(2016) Zhongwei Deng et al.   ENERGY

A novel health indicator for on-line lithium-ion batteries remaining useful life prediction

(2016) Yapeng Zhou et al.   JOURNAL OF POWER SOURCES

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

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

Critical review of on-board capacity estimation techniques for lithium-ion batteries in electric and hybrid electric vehicles

(2015) Alexander Farmann et al.   JOURNAL OF POWER SOURCES

Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles

(2014) Wladislaw Waag et al.   JOURNAL OF POWER SOURCES

Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine

(2014) Hong Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A comparative study of commercial lithium ion battery cycle life in electrical vehicle: Aging mechanism identification

(2013) Xuebing Han et al.   JOURNAL OF POWER SOURCES