Remaining useful life prediction of lithium-ion battery using a novel particle filter framework with grey neural network

Remaining useful life estimation of Lithium-ion battery based on interacting multiple model particle filter and support vector regression

(2021) Sai Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine

(2021) Xin Li et al.   MEASUREMENT

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

New fusion and selection approaches for estimating the remaining useful life using Gaussian process regression and induced ordered weighted averaging operators

(2020) Mohammed Bouzenita et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

One-shot parameter identification of the Thevenin’s model for batteries: Methods and validation

(2020) Ning Tian et al.   Journal of Energy Storage

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

An improved adaptive unscented kalman filtering for state of charge online estimation of lithium-ion battery

(2020) Shuzhi Zhang et al.   Journal of Energy Storage

General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries

(2020) Zhongwei Deng et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks

(2019) Shuzhi Zhang et al.   Journal of Energy Storage

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

(2018) Haihong Pan et al.   ENERGY

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

A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell

(2018) Yujie Cheng et al.   INTERNATIONAL JOURNAL OF HYDROGEN 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 Prediction for Lithium-Ion Batteries Based on Exponential Model and Particle Filter

(2018) Lijun Zhang et al.   IEEE Access

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

Towards a smarter battery management system: A critical review on battery state of health monitoring methods

(2018) Rui Xiong et al.   JOURNAL OF POWER SOURCES

Prediction of lithium-ion battery capacity with metabolic grey model

(2016) Lin Chen et al.   ENERGY

Prognostics in Battery Health Management

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