A CNN-GRU Approach to the Accurate Prediction of Batteries’ Remaining Useful Life from Charging Profiles

A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life

(2023) Qing Xu et al.   IEEE-CAA Journal of Automatica Sinica

Lithium-Ion Battery Remaining Useful Life Prediction Based on Hybrid Model

(2023) Xuliang Tang et al.   Sustainability

A novel remaining useful life prediction method for lithium-ion battery based on long short-term memory network optimized by improved sparrow search algorithm

(2023) Yiwei Liu et al.   Journal of Energy Storage

Remaining Useful Life Prediction of Lithium-Ion Batteries by Using a Denoising Transformer-Based Neural Network

(2023) Yunlong Han et al.   Energies

Lifetime Extension Approach Based on the Levenberg–Marquardt Neural Network and Power Routing of DC–DC Converters

(2023) Jiusi Zhang et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Convolutional Neural Networks: A Survey

(2023) Moez Krichen   Computers

Model-free reconstruction of capacity degradation trajectory of lithium-ion batteries using early cycle data

(2023) Seongyoon Kim et al.   eTransportation

Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations

(2022) Faiza Qayyum et al.   SCIENTOMETRICS

Remaining useful life prediction of lithium-ion batteries using CEEMDAN and WOA-SVR model

(2022) Xianmeng Meng et al.   Frontiers in Energy Research

Prediction of Remaining Useful Life of Lithium Batteries Based on WOA-VMD and LSTM

(2022) Mingsan Ouyang et al.   Energies

Remaining Useful Life Prediction of Lithium-Ion Battery With Adaptive Noise Estimation and Capacity Regeneration Detection

(2022) Jiusi Zhang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Multivariate gated recurrent unit for battery remaining useful life prediction: A deep learning approach

(2021) Reza Rouhi Ardeshiri et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Machine Learning-Based Data-Driven Fault Detection/Diagnosis of Lithium-Ion Battery: A Critical Review

(2021) Akash Samanta et al.   Electronics

A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM

(2021) Xiaoqing Ren et al.   ENERGY

Remaining Useful Life Prediction of Lithium-Ion Battery via a Sequence Decomposition and Deep Learning Integrated Approach

(2021) Zhang Chen et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Overview of Machine Learning Methods for Lithium-Ion Battery Remaining Useful Lifetime Prediction

(2021) Siyu Jin et al.   Electronics

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries

(2021) Shunli Wang et al.   Energy Reports

A hybrid approach for remaining useful life prediction of lithium-ion battery with Adaptive Levy Flight optimized Particle Filter and Long Short-Term Memory network

(2021) Yong Zhang et al.   Journal of Energy Storage

Li-ion battery prognostic and health management through an indirect hybrid model

(2021) Zhiqiang Lyu et al.   Journal of Energy Storage

An Integrated Method of the Future Capacity and RUL Prediction for Lithium-Ion Battery Pack

(2021) Chaolong Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

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

Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training

(2019) Ali Asghar Heidari et al.   APPLIED SOFT COMPUTING

An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network

(2019) Wenhua Li et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

(2019) Yong Yu et al.   NEURAL COMPUTATION

Synchronous multi-parameter prediction of battery systems on electric vehicles using long short-term memory networks

(2019) Jichao Hong et al.   APPLIED ENERGY

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

(2018) Luping Chen et al.   Energies

Novel battery state-of-health online estimation method using multiple health indicators and an extreme learning machine

(2018) Haihong Pan et al.   ENERGY

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

(2018) Heng Zhang et al.   MICROELECTRONICS RELIABILITY

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

Adaptive relevant vector machine based RUL prediction under uncertain conditions

(2018) Xiuli Wang et al.   ISA TRANSACTIONS

Identification of important citations by exploiting research articles’ metadata and cue-terms from content

(2018) Faiza Qayyum et al.   SCIENTOMETRICS

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

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

Method for estimating capacity and predicting remaining useful life of lithium-ion battery

(2014) Chao Hu et al.   APPLIED ENERGY

Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods

(2012) Adnan Nuhic et al.   JOURNAL OF POWER SOURCES

Prognostics in Battery Health Management

(2008) Kai Goebel et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE