Prognostics of battery cycle life in the early-cycle stage based on hybrid model

Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method

(2020) Xianghui Qiu et al.   JOURNAL OF POWER SOURCES

Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

(2020) Dongxiao Niu et al.   APPLIED SOFT COMPUTING

State-of-charge estimation of lithium-ion batteries using LSTM and UKF

(2020) Fangfang Yang et al.   ENERGY

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

(2020) Zhongwei Deng et al.   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

Multi-time-scale framework for prognostic health condition of lithium battery using modified Gaussian process regression and nonlinear regression

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

An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system

(2020) Jinhao Meng et al.   ENERGY

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

Battery state-of-health estimation based on a metabolic extreme learning machine combining degradation state model and error compensation

(2020) Lin Chen et al.   ENERGY

State of charge estimation for lithium-ion battery based on an Intelligent Adaptive Extended Kalman Filter with improved noise estimator

(2020) Daoming Sun et al.   ENERGY

Data-driven prediction of battery cycle life before capacity degradation

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

A review of feature selection methods in medical applications

(2019) Beatriz Remeseiro et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries

(2019) Chong Bian et al.   ENERGY

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Support Vector Regression Optimized by Artificial Bee Colony

(2019) Yingzhou Wang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Developing a real-time data-driven battery health diagnosis method, using time and frequency domain condition indicators

(2019) S. Khaleghi et al.   APPLIED ENERGY

A novel approach of battery pack state of health estimation using artificial intelligence optimization algorithm

(2018) Xu Zhang 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

State-of-charge inconsistency estimation of lithium-ion battery pack using mean-difference model and extended Kalman filter

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

A hybrid model based on support vector regression and differential evolution for remaining useful lifetime prediction of lithium-ion batteries

(2018) Fu-Kwun Wang et al.   JOURNAL OF POWER SOURCES

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

(2018) Yi Li et al.   APPLIED ENERGY

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

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

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

(2016) Ji Wu et al.   APPLIED ENERGY

Correlation and variable importance in random forests

(2016) Baptiste Gregorutti et al.   STATISTICS AND COMPUTING

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

(2016) Lifeng Wu et al.   Applied Sciences-Basel

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

Modeling of energy consumption and related GHG (greenhouse gas) intensity and emissions in Europe using general regression neural networks

(2015) Davor Antanasijević et al.   ENERGY

A review on lithium-ion battery ageing mechanisms and estimations for automotive applications

(2013) Anthony Barré et al.   JOURNAL OF POWER SOURCES