Online state‐of‐health prediction of lithium‐ion batteries with limited labeled data

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

Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition

(2020) Bo Jiang et al.   APPLIED ENERGY

State of health estimation for Li-ion battery via partial incremental capacity analysis based on support vector regression

(2020) Xiaoyu Li et al.   ENERGY

Feature parameter extraction and intelligent estimation of the State-of-Health of lithium-ion batteries

(2019) Yuanwang Deng et al.   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

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 model‐based and data‐driven joint method for state‐of‐health estimation of lithium‐ion battery in electric vehicles

(2019) Zhiqiang Lyu et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization

(2019) Yapeng Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Thermal runaway behavior during overcharge for large-format Lithium-ion batteries with different packaging patterns

(2019) Lvwei Huang et al.   Journal of Energy Storage

Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

(2019) Zhiwei Xue et al.   NEUROCOMPUTING

Battery Aging Assessment for Real-World Electric Buses Based on Incremental Capacity Analysis and Radial Basis Function Neural Network

(2019) Chengqi She et al.   IEEE Transactions on Industrial Informatics

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

(2018) Luping Chen et al.   Energies

Battery Health Prognosis Using Brownian Motion Modeling and Particle Filtering

(2018) Guangzhong Dong et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Tracking degradation in lithium iron phosphate batteries using differential thermal voltammetry

(2018) Toshio Shibagaki 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

An improved unscented particle filter approach for lithium-ion battery remaining useful life prediction

(2018) Heng Zhang et al.   MICROELECTRONICS RELIABILITY

A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries

(2018) Qi Zhao et al.   MICROELECTRONICS RELIABILITY

State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis

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

Indirect State-of-Health Estimation for Lithium-Ion Batteries under Randomized Use

(2017) Jinsong Yu et al.   Energies

Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes

(2017) Taedong Goh et al.   ENERGY

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

(2017) Duo Yang et al.   APPLIED ENERGY

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

(2016) Caihao Weng et al.   APPLIED ENERGY

State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter

(2016) Jun Bi et al.   APPLIED ENERGY

On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis

(2016) Limei Wang et al.   APPLIED ENERGY

Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing

(2016) Pilsung Kang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Improvement of Search Strategy With K-Nearest Neighbors Approach for Traffic State Prediction

(2016) Simon Oh et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A novel state of health estimation method of Li-ion battery using group method of data handling

(2016) Ji Wu et al.   JOURNAL OF POWER SOURCES

k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition

(2016) Bin Yu et al.   JOURNAL OF TRANSPORTATION ENGINEERING

k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition

(2016) Bin Yu et al.   JOURNAL OF TRANSPORTATION ENGINEERING

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

On-line optimization of battery open circuit voltage for improved state-of-charge and state-of-health estimation

(2015) Shijie Tong et al.   JOURNAL OF POWER SOURCES

A new prognostics method for state of health estimation of lithium-ion batteries based on a mixture of Gaussian process models and particle filter

(2015) Fan Li et al.   MICROELECTRONICS RELIABILITY

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

A naive Bayes model for robust remaining useful life prediction of lithium-ion battery

(2014) Selina S.Y. Ng et al.   APPLIED ENERGY

Online state-of-health estimation of lithium-ion batteries using Dynamic Bayesian Networks

(2014) Zhiwei He 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

Satellite Lithium-Ion Battery Remaining Cycle Life Prediction with Novel Indirect Health Indicator Extraction

(2013) Datong Liu et al.   Energies

Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing

(2013) Seung-kyung Lee et al.   NEUROCOMPUTING

Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles

(2012) Hongwen He et al.   ENERGY

Particle filter for state of charge and state of health estimation for lithium–iron phosphate batteries

(2012) Simon Schwunk et al.   JOURNAL OF POWER SOURCES

A comparative study of equivalent circuit models for Li-ion batteries

(2011) Xiaosong Hu et al.   JOURNAL OF POWER SOURCES

Battery-Management System (BMS) and SOC Development for Electrical Vehicles

(2010) K. W. E. Cheng et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Locally linear reconstruction for instance-based learning

(2008) Pilsung Kang et al.   PATTERN RECOGNITION