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

An Advanced Machine Learning Based Energy Management of Renewable Microgrids Considering Hybrid Electric Vehicles’ Charging Demand

(2021) Tianze Lan et al.   Energies

Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning

(2021) Yihuan Li et al.   APPLIED ENERGY

State-of-charge estimation tolerant of battery aging based on a physics-based model and an adaptive cubature Kalman filter

(2021) Xiaoyu Li et al.   ENERGY

Stochastic multi-carrier energy management in the smart islands using reinforcement learning and unscented transform

(2021) Hongbo Zou et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An intelligent hybrid wavelet-adversarial deep model for accurate prediction of solar power generation

(2021) Fanbin Meng et al.   Energy Reports

A hybrid statistical data-driven method for on-line joint state estimation of lithium-ion batteries

(2020) Yuchen Song et al.   APPLIED ENERGY

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

An improved vehicle to the grid method with battery longevity management in a microgrid application

(2020) Qingqing Yang et al.   ENERGY

Real-Time Stochastic Optimization of Energy Storage Management Using Deep Learning-Based Forecasts for Residential PV Applications

(2020) Faeza Hafiz et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Multi-objective decision analysis for data-driven based estimation of battery states: A case study of remaining useful life estimation

(2020) Shuzhi Zhang et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Internal short circuit detection for lithium-ion battery pack with parallel-series hybrid connections

(2020) Yue Pan et al.   JOURNAL OF CLEANER PRODUCTION

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

Optimal energy management with balanced fuel economy and battery life for large hybrid electric mining truck

(2020) Yanbiao Feng et al.   JOURNAL OF POWER SOURCES

A review of the state of health for lithium-ion batteries: Research status and suggestions

(2020) Huixin Tian et al.   JOURNAL OF CLEANER PRODUCTION

An Improved Single Particle Model for Lithium-ion Batteries based on Main Stress Factor Compensation

(2020) Jiaqiang Tian et al.   JOURNAL OF CLEANER PRODUCTION

Battery life estimation based on cloud data for electric vehicles

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

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

Model Migration Neural Network for Predicting Battery Aging Trajectories

(2020) Xiaopeng Tang et al.   IEEE Transactions on Transportation Electrification

Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management

(2020) Renzhi Lu et al.   APPLIED ENERGY

Battery state of health modeling and remaining useful life prediction through time series model

(2020) Chun-Pang Lin et al.   APPLIED ENERGY

Continuous modelling of cyclic ageing for lithium-ion batteries

(2020) Domen Šeruga et al.   ENERGY

A Collaborative Gaussian Process Regression Model for Transfer Learning of Capacity Trends Between Li-Ion Battery Cells

(2020) Abdallah A. Chehade et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Experimental Study on Thermal Runaway Propagation of Lithium-Ion Battery Modules with Different Parallel-series Hybrid Connections

(2020) Chengshan Xu et al.   JOURNAL OF CLEANER PRODUCTION

A novel charged state prediction method of the lithium ion battery packs based on the composite equivalent modeling and improved splice Kalman filtering algorithm

(2020) Shunli Wang et al.   JOURNAL OF POWER SOURCES

An evaluation study of different modelling techniques for calendar ageing prediction of lithium-ion batteries

(2020) Kailong Liu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives

(2020) Rui Xiong et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A comprehensive review of battery modeling and state estimation approaches for advanced battery management systems

(2020) Yujie Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

(2020) Jian Ma et al.   APPLIED ENERGY

Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles

(2020) Rui Xiong et al.   APPLIED ENERGY

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

Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Capacity Estimation and Box-Cox Transformation

(2020) Qiao Xue et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Stochastic capacity loss and remaining useful life models for lithium-ion batteries in plug-in hybrid electric vehicles

(2020) Andrew Chu et al.   JOURNAL OF POWER SOURCES

Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction

(2020) Selcuk Atalay et al.   JOURNAL OF POWER SOURCES

A novel classification method of commercial lithium-ion battery cells based on fast and economic detection of self-discharge rate

(2020) Yuejiu Zheng et al.   JOURNAL OF POWER SOURCES

Prediction of compression force evolution over degradation for a lithium-ion battery

(2020) Eunji Kwak et al.   JOURNAL OF POWER SOURCES

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

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

The Application of Data-Driven Methods and Physics-Based Learning for Improving Battery Safety

(2020) Donal P. Finegan et al.   Joule

A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current

(2020) Dongxu Shen et al.   ENERGY

A novel data-driven method for predicting the circulating capacity of lithium-ion battery under random variable current

(2020) Tingting Xu et al.   ENERGY

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

(2020) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Capacity-Fading Behavior Analysis for Early Detection of Unhealthy Li-Ion Batteries

(2020) Changyong Lee et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Physics-based prognostics of implantable-grade lithium-ion battery for remaining useful life prediction

(2020) Yu Hui Lui et al.   JOURNAL OF POWER SOURCES

A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

(2020) Kailong Liu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Data-driven prediction of battery cycle life before capacity degradation

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

Energy storage and syngas production by switching cathode gas in nickel-yttria stabilized zirconia supported solid oxide cell

(2019) Yongliang Zhang et al.   APPLIED ENERGY

Lithium-Ion Battery Degradation Indicators Via Incremental Capacity Analysis

(2019) David Ansean et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks

(2019) MyungJae Shin et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

New fast charging method of lithium-ion batteries based on a reduced order electrochemical model considering side reaction

(2019) Yilin Yin et al.   JOURNAL OF POWER SOURCES

Lithium-Ion Batteries Health Prognosis Considering Aging Conditions

(2019) Asmae El Mejdoubi et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

An improved electro-thermal battery model complemented by current dependent parameters for vehicular low temperature application

(2019) Jiangong Zhu et al.   APPLIED ENERGY

Energy management of hybrid electric bus based on deep reinforcement learning in continuous state and action space

(2019) Huachun Tan et al.   ENERGY CONVERSION AND MANAGEMENT

Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks

(2019) Jichao Hong et al.   APPLIED ENERGY

Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network

(2019) Guijun Ma et al.   APPLIED ENERGY

Aging trajectory prediction for lithium-ion batteries via model migration and Bayesian Monte Carlo method

(2019) Xiaopeng Tang et al.   APPLIED ENERGY

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

(2019) Jichao Hong et al.   APPLIED ENERGY

Intelligent data-driven prognostic methodologies for the real-time remaining useful life until the end-of-discharge estimation of the Lithium-Polymer batteries of unmanned aerial vehicles with uncertainty quantification

(2019) Nick Eleftheroglou et al.   APPLIED ENERGY

Energy management based on reinforcement learning with double deep Q-learning for a hybrid electric tracked vehicle

(2019) Xuefeng Han et al.   APPLIED ENERGY

Multi-agent microgrid energy management based on deep learning forecaster

(2019) Mousa Afrasiabi et al.   ENERGY

Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids

(2019) Linfei Yin et al.   ENERGY

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

Data-driven health estimation and lifetime prediction of lithium-ion batteries: A review

(2019) Yi Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Impact of high-power charging on the durability and safety of lithium batteries used in long-range battery electric vehicles

(2019) Jiuyu Du et al.   APPLIED ENERGY

Characterization of external short circuit faults in electric vehicle Li-ion battery packs and prediction using artificial neural networks

(2019) Ruixin Yang et al.   APPLIED 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

A Copula-based battery pack consistency modeling method and its application on the energy utilization efficiency estimation

(2019) Yan Jiang et al.   ENERGY

Active Adaptive Battery Aging Management for Electric Vehicles

(2019) Matteo Corno et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A multi-fault diagnosis method based on modified Sample Entropy for lithium-ion battery strings

(2019) Yunlong Shang et al.   JOURNAL OF POWER SOURCES

Deep Gaussian process regression for lithium-ion battery health prognosis and degradation mode diagnosis

(2019) Piyush Tagade et al.   JOURNAL OF POWER SOURCES

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

(2019) Zhiwei Xue et al.   NEUROCOMPUTING

Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-Ion Batteries

(2019) Kailong Liu et al.   IEEE Transactions on Transportation Electrification

Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning

(2019) Hepeng Li et al.   IEEE Transactions on Smart Grid

Data-Driven Battery Health Prognosis Using Adaptive Brownian Motion Model

(2019) Guangzhong Dong et al.   IEEE Transactions on Industrial Informatics

Remaining Useful Life Prediction of Battery Using a Novel Indicator and Framework With Fractional Grey Model and Unscented Particle Filter

(2019) Lin Chen et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

Nonlinear-Drifted Fractional Brownian Motion With Multiple Hidden State Variables for Remaining Useful Life Prediction of Lithium-Ion Batteries

(2019) Heng Zhang et al.   IEEE TRANSACTIONS ON RELIABILITY

Correlating Optimal Size, Cycle Life Estimation, and Technology Selection of Batteries: A Two-Stage Approach for Microgrid Applications

(2019) Tarek Medalel Masaud et al.   IEEE Transactions on Sustainable Energy

An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application

(2018) Rui Xiong et al.   APPLIED ENERGY

Comparative study of reduced order equivalent circuit models for on-board state-of-available-power prediction of lithium-ion batteries in electric vehicles

(2018) Alexander Farmann et al.   APPLIED ENERGY

Remaining Useful Life Prediction of Lithium-Ion Battery Based on Gauss-Hermite Particle Filter

(2018) Yan Ma et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A Practical Lithium-Ion Battery Model for State of Energy and Voltage Responses Prediction Incorporating Temperature and Ageing Effects

(2018) Kaiyuan Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fractional order model based incremental capacity analysis for degradation state recognition of lithium-ion batteries

(2018) Jinpeng Tian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Lithium-ion battery remaining useful life prediction with Box-Cox transformation and Monte Carlo simulation

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

(2018) Jingwen Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Online Estimation of the Electrochemical Impedance Spectrum and Remaining Useful Life of Lithium-Ion Batteries

(2018) Arijit Guha et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks

(2018) Sergii Voronov et al.   IEEE TRANSACTIONS ON RELIABILITY

Long short-term memory recurrent neural network for remaining useful life prediction of lithium-ion batteries

(2018) Yongzhi Zhang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Modeling of Lithium-Ion Battery Degradation for Cell Life Assessment

(2018) Bolun Xu et al.   IEEE Transactions on Smart Grid

A low-temperature internal heating strategy without lifetime reduction for large-size automotive lithium-ion battery pack

(2018) Jiuchun Jiang et al.   APPLIED ENERGY

Enabling Flexible Resource Allocation in Mobile Deep Learning Systems

(2018)   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

(2018) M.S. Hossain Lipu et al.   JOURNAL OF CLEANER PRODUCTION

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

Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system

(2018) Chang Liu et al.   ENERGY

A novel framework for Lithium-ion battery modeling considering uncertainties of temperature and aging

(2018) Xiaopeng Tang et al.   ENERGY CONVERSION AND MANAGEMENT

A review on modeling of electro-chemo-mechanics in lithium-ion batteries

(2018) Ying Zhao et al.   JOURNAL OF POWER SOURCES

A novel endurance prediction method of series connected lithium-ion batteries based on the voltage change rate and iterative calculation

(2018) Shun-Li Wang et al.   JOURNAL OF CLEANER PRODUCTION

Validation and verification of a hybrid method for remaining useful life prediction of lithium-ion batteries

(2018) YongZhi Zhang et al.   JOURNAL OF CLEANER PRODUCTION

Electrothermal Modeling of Lithium-Ion Batteries for Electric Vehicles

(2018) Zhuo Yang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A Compact Methodology Via a Recurrent Neural Network for Accurate Equivalent Circuit Type Modeling of Lithium-Ion Batteries

(2018) Ruxiu Zhao et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

FBM-Based Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence and Multiple Modes

(2018) Hanwen Zhang et al.   IEEE TRANSACTIONS ON RELIABILITY

Diagnosis of Electric Vehicle Batteries Using Recurrent Neural Networks

(2017) Gae-Won You et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence

(2017) Hanwen Zhang et al.   IEEE TRANSACTIONS ON RELIABILITY

Synthesis and Experimental Validation of Battery Aging Test Profiles Based on Real-World Duty Cycles for 48-V Mild Hybrid Vehicles

(2017) Zifan Liu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Lifetime Test Design for Second-Use Electric Vehicle Batteries in Residential Applications

(2017) He Li et al.   IEEE Transactions on Sustainable Energy