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

Data-driven prediction of battery cycle life before capacity degradation

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

Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles

(2019) Xiaoyu Li et al.   ENERGY

Online State-of-Health Estimation for Li-Ion Battery Using Partial Charging Segment Based on Support Vector Machine

(2019) Xuning Feng et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A novel capacity estimation method for lithium-ion batteries using fusion estimation of charging curve sections and discrete Arrhenius aging model

(2019) Yuejiu Zheng et al.   APPLIED ENERGY

Missing Data Imputation With OLS-Based Autoencoder for Intelligent Manufacturing

(2019) Yanxia Wang et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

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

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

Online capacity estimation for lithium-ion batteries through joint estimation method

(2019) Quanqing Yu et al.   APPLIED ENERGY

Design of minimum cost degradation-conscious lithium-ion battery energy storage system to achieve renewable power dispatchability

(2019) Yang Li 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

State of health estimation for Li-Ion battery using incremental capacity analysis and Gaussian process regression

(2019) Xiaoyu Li et al.   ENERGY

Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique

(2019) Daniel-Ioan Stroe et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Real-Time Capacity Estimation of Lithium-Ion Batteries Utilizing Thermal Dynamics

(2019) Dong Zhang et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Industrial Informatics

Transfer Learning With Long Short-Term Memory Network for State-of-Health Prediction of Lithium-Ion Batteries

(2019) Yandan Tan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application

(2018) Rui Xiong et al.   APPLIED ENERGY

A comparative study of model-based capacity estimation algorithms in dual estimation frameworks for lithium-ion batteries under an accelerated aging test

(2018) Shi Li et al.   APPLIED ENERGY

A comprehensive study of battery-supercapacitor hybrid energy storage system for standalone PV power system in rural electrification

(2018) Wenlong Jing et al.   APPLIED ENERGY

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

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

Charging Pattern Optimization for Lithium-Ion Batteries with An Electrothermal-Aging Model

(2018)   IEEE Transactions on Industrial Informatics

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

(2018) Yi Li et al.   APPLIED ENERGY

A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction

(2018) Peiyao Guo et al.   JOURNAL OF POWER SOURCES

Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks

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

Plant identification using deep neural networks via optimization of transfer learning parameters

(2017) Mostafa Mehdipour Ghazi et al.   NEUROCOMPUTING

Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

(2017) Weixun Zhou et al.   Remote Sensing

State-of-health estimation for the lithium-ion battery based on support vector regression

(2017) Duo Yang et al.   APPLIED ENERGY

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

A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery

(2016) Minggao Ouyang et al.   APPLIED ENERGY

Online state of health estimation on NMC cells based on predictive analytics

(2016) Maitane Berecibar et al.   JOURNAL OF POWER SOURCES

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING