Improved sparrow search algorithm optimization deep extreme learning machine for lithium-ion battery state-of-health prediction

State of Health Prediction of Lithium-Ion Batteries Based on the Discharge Voltage and Temperature

(2021) Yanru Yang et al.   Electronics

A multi-scale state of health prediction framework of lithium-ion batteries considering the temperature variation during battery discharge

(2021) Jianfang Jia et al.   Journal of Energy Storage

SOH and RUL Prediction of Lithium-Ion Batteries Based on Gaussian Process Regression with Indirect Health Indicators

(2020) Jianfang Jia et al.   Energies

State of health prediction for lithium‐ion batteries with a novel online sequential extreme learning machine method

(2020) Huixin Tian et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Discharge Rate Capability in Aged Li-Ion Batteries

(2020) Felipe Salinas et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

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

(2020) Weihan Li 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

A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine

(2019) Ke Li et al.   NEUROCOMPUTING

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

(2019) Xiaoqiong Pang et al.   Energies

State-of-Health Estimation of Li-ion Batteries in Electric Vehicle Using IndRNN under Variable Load Condition

(2019) Prakash Venugopal et al.   Energies

Influence of cycling aging and ambient pressure on the thermal safety features of lithium-ion battery

(2019) Song Xie et al.   JOURNAL OF POWER SOURCES

An open circuit voltage-based model for state-of-health estimation of lithium-ion batteries: Model development and validation

(2019) Xiaolei Bian et al.   JOURNAL OF POWER SOURCES

Electrochemical thermal modeling and experimental measurements of 18650 cylindrical lithium-ion battery during discharge cycle for an EV

(2018) S. Panchal et al.   APPLIED THERMAL ENGINEERING

Understanding ageing in Li-ion batteries: a chemical issue

(2018) M. Rosa Palacín   CHEMICAL SOCIETY REVIEWS

Improved whale optimization algorithm for feature selection in Arabic sentiment analysis

(2018) Mohammad Tubishat et al.   APPLIED INTELLIGENCE

Indirect State-of-Health Estimation for Lithium-Ion Batteries under Randomized Use

(2017) Jinsong Yu et al.   Energies

Design of a fractional-order PID controller for a pumped storage unit using a gravitational search algorithm based on the Cauchy and Gaussian mutation

(2017) Chaoshun Li et al.   INFORMATION SCIENCES

Gaussian process regression for forecasting battery state of health

(2017) Robert R. Richardson et al.   JOURNAL OF POWER SOURCES

Distributed extreme learning machine with alternating direction method of multiplier

(2017) Minnan Luo et al.   NEUROCOMPUTING

Two-hidden-layer extreme learning machine for regression and classification

(2016) B.Y. Qu et al.   NEUROCOMPUTING

Inline state of health estimation of lithium-ion batteries using state of charge calculation

(2015) Saeed Sepasi et al.   JOURNAL OF POWER SOURCES

Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC

(2015) Aijun Zhu et al.   Journal of Systems Engineering and Electronics

Extreme learning machine and its applications

(2013) Shifei Ding et al.   NEURAL COMPUTING & APPLICATIONS

Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework

(2008) B. Saha et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A hybrid genetic algorithm and particle swarm optimization for multimodal functions

(2007) Yi-Tung Kao et al.   APPLIED SOFT COMPUTING