State-of-health estimation of lithium-ion batteries using a novel dual-stage attention mechanism based recurrent neural network

Constant current charging time based fast state-of-health estimation for lithium-ion batteries

(2022) Chuanping Lin et al.   ENERGY

Estimation of the state of health (SOH) of batteries using discrete curvature feature extraction

(2022) Hui Hwang Goh et al.   Journal of Energy Storage

State of health estimation of lithium-ion battery based on improved ant lion optimization and support vector regression

(2022) Qianglong Li et al.   Journal of Energy Storage

Fractional variable-order calculus based state of charge estimation of Li-ion battery using dual fractional order Kalman filter

(2022) Zheng Liu et al.   Journal of Energy Storage

Online remaining useful life prediction of lithium-ion batteries using bidirectional long short-term memory with attention mechanism

(2022) Fu-Kwun Wang et al.   ENERGY

Simultaneous and rapid estimation of state of health and state of charge for lithium-ion battery based on response characteristics of load surges

(2022) Qiongbin Lin et al.   Journal of Energy Storage

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Lithium-ion batteries remaining useful life prediction based on BLS-RVM

(2021) Zewang Chen et al.   ENERGY

Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network

(2021) Gong Cheng et al.   ENERGY

A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries

(2021) Mingqiang Lin et al.   JOURNAL OF POWER SOURCES

An estimation model for state of health of lithium-ion batteries using energy-based features

(2021) Li Cai et al.   Journal of Energy Storage

Improved State-of-health prediction based on auto-regressive integrated moving average with exogenous variables model in overcoming battery degradation-dependent internal parameter variation

(2021) Seongwoo Kim et al.   Journal of Energy Storage

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

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

LSTM based encoder-decoder for short-term predictions of gas concentration using multi-sensor fusion

(2020) Pingyang Lyu et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

State-of-health estimators coupled to a random forest approach for lithium-ion battery aging factor ranking

(2020) Kodjo S.R. Mawonou et al.   JOURNAL OF POWER SOURCES

A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles

(2019) Sudipta Bijoy Sarmah et al.   Journal of Electrochemical Energy Conversion and Storage

Attention-based recurrent neural networks for accurate short-term and long-term dissolved oxygen prediction

(2019) Yeqi Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2019) Xiaoyu Li et al.   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

Outlier detection based on Gaussian process with application to industrial processes

(2018) Biao Wang et al.   APPLIED SOFT COMPUTING

Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime

(2016) Martin Petit et al.   APPLIED ENERGY

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

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

Electrochemical Model Based Observer Design for a Lithium-Ion Battery

(2012) Reinhardt Klein et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY