A deep belief network approach to remaining capacity estimation for lithium-ion batteries based on charging process features

A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries

(2021) Ming-Feng Ge et al.   MEASUREMENT

A state-of-health estimation method of lithium-ion batteries based on multi-feature extracted from constant current charging curve

(2021) YongFang Guo et al.   Journal of Energy Storage

Practical identifiability of electrochemical P2D models for lithium-ion batteries

(2021) Vincent Laue et al.   JOURNAL OF APPLIED ELECTROCHEMISTRY

Lithium-Ion Battery SOH Estimation Based on XGBoost Algorithm with Accuracy Correction

(2020) Shuxiang Song et al.   Energies

A novel fast capacity estimation method based on current curves of parallel-connected cells for retired lithium-ion batteries in second-use applications

(2020) Long Chang et al.   JOURNAL OF POWER SOURCES

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks

(2020) Mohammad Fasahat et al.   JOURNAL OF POWER SOURCES

Implementation of generative adversarial network-CLS combined with bidirectional long short-term memory for lithium-ion battery state prediction

(2020) Haoliang Zhang et al.   Journal of Energy Storage

Online capacity estimation of lithium-ion batteries with deep long short-term memory networks

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

A novel one-way transmitted co-estimation framework for capacity and state-of-charge of lithium-ion battery based on double adaptive extended Kalman filters

(2020) Zhang Shuzhi et al.   Journal of Energy Storage

Accelerated cycle life testing and capacity degradation modeling of LiCoO2-graphite cells

(2019) Weiping Diao et al.   JOURNAL OF POWER SOURCES

A novel capacity estimation method based on charging curve sections for lithium-ion batteries in electric vehicles

(2019) Yuejiu Zheng et al.   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

Pseudo-two-dimensional model and impedance diagnosis of micro internal short circuit in lithium-ion cells

(2019) Xiangdong Kong et al.   Journal of Energy Storage

Novel Approach for Lithium-Ion Battery On-Line Remaining Useful Life Prediction Based on Permutation Entropy

(2018) Luping Chen et al.   Energies

Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique

(2018) Cheng Zhang et al.   ENERGY

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

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

State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

(2017) Hicham Chaoui et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A novel method for identification of lithium-ion battery equivalent circuit model parameters considering electrochemical properties

(2017) Xi Zhang et al.   JOURNAL OF POWER SOURCES

Degradation diagnostics for lithium ion cells

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

State-of-Health Estimation for Lithium-Ion Batteries Based on the Multi-Island Genetic Algorithm and the Gaussian Process Regression

(2017) Zhenpo Wang et al.   IEEE Access

Capacity Prognostics of Lithium-Ion Batteries using EMD Denoising and Multiple Kernel RVM

(2017) Chaolong Zhang et al.   IEEE Access

State-of-health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking

(2016) Caihao Weng et al.   APPLIED ENERGY

An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks

(2016) Ji Wu et al.   APPLIED ENERGY

Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries

(2016) Ali Jokar et al.   JOURNAL OF POWER SOURCES

Probability based remaining capacity estimation using data-driven and neural network model

(2016) Yujie Wang et al.   JOURNAL OF POWER SOURCES

Online Capacity Estimation of Lithium-Ion Batteries Based on Novel Feature Extraction and Adaptive Multi-Kernel Relevance Vector Machine

(2015) Yang Zhang et al.   Energies

Probing the aging effects on nanomechanical properties of a LiFePO 4 cathode in a large format prismatic cell

(2015) Dervis Emre Demirocak et al.   JOURNAL OF POWER SOURCES

A Health Indicator Extraction and Optimization Framework for Lithium-Ion Battery Degradation Modeling and Prognostics

(2015) Datong Liu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Li-ion battery capacity estimation: A geometrical approach

(2014) Chen Lu et al.   JOURNAL OF POWER SOURCES

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A model for degradation of electrochemical devices based on linear non-equilibrium thermodynamics and its application to lithium ion batteries

(2011) Anil V. Virkar   JOURNAL OF POWER SOURCES

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Comparison of prognostic algorithms for estimating remaining useful life of batteries

(2009) Bhaskar Saha et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL