State-of-health estimation of lithium-ion batteries based on improved long short-term memory algorithm

A voltage reconstruction model based on partial charging curve for state-of-health estimation of lithium-ion batteries

(2021) Sijia Yang et al.   Journal of Energy Storage

A Novel Method for SoH Prediction of Batteries Based on Stacked LSTM with Quick Charge Data

(2021) Ugur Yayan et al.   APPLIED ARTIFICIAL INTELLIGENCE

Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning

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

Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm

(2021) Chun Chang et al.   Journal of Energy Storage

Effective and practical parameters of electrochemical Li-ion battery models for degradation diagnosis

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

Online diagnosis of state of health for lithium-ion batteries based on short-term charging profiles

(2020) Xing Shu et al.   JOURNAL OF POWER SOURCES

Adaptive model parameter identification for lithium-ion batteries based on improved coupling hybrid adaptive particle swarm optimization- simulated annealing method

(2020) Sida Zhou et al.   JOURNAL OF POWER SOURCES

A novel deep learning framework for state of health estimation of lithium-ion battery

(2020) Yaxiang Fan et al.   Journal of Energy Storage

On-line parameter estimation of a Lithium-Ion battery/supercapacitor storage system using filtering sliding mode differentiators

(2020) Pedro Fornaro et al.   Journal of Energy Storage

A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life

(2020) Lei Ren et al.   IEEE Transactions on Industrial Informatics

Novel Data-Efficient Mechanism-Agnostic Capacity Fade Model for Li-Ion Batteries

(2020) Minho Kim et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

State-of-health estimation for lithium battery in electric vehicles based on improved unscented particle filter

(2019) Enwei Shi et al.   Journal of Renewable and Sustainable Energy

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 Lithium-ion Battery RUL Prediction Method Considering the Capacity Regeneration Phenomenon

(2019) Xiaoqiong Pang et al.   Energies

Battery states online estimation based on exponential decay particle swarm optimization and proportional-integral observer with a hybrid battery model

(2019) Xiaolong Yang et al.   ENERGY

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

(2019) Xiaoyu Li et al.   ENERGY

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

State of health diagnosis model for lithium ion batteries based on real-time impedance and open circuit voltage parameters identification method

(2018) Yingzhi Cui et al.   ENERGY

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

A Lithium-Ion Battery-in-the-Loop Approach to Test and Validate Multiscale Dual H Infinity Filters for State-of-Charge and Capacity Estimation

(2018) Cheng Chen et al.   IEEE TRANSACTIONS ON POWER ELECTRONICS

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

Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles

(2018) Rui Xiong et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Technological Developments in Batteries: A Survey of Principal Roles, Types, and Management Needs

(2017) Xiaosong Hu et al.   IEEE Power & Energy Magazine

State-of-Charge and State-of-Health Lithium-Ion Batteries’ Diagnosis According to Surface Temperature Variation

(2016) Asmae El Mejdoubi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Online estimation of lithium-ion battery capacity using sparse Bayesian learning

(2015) Chao Hu 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