State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network-Reference-Cited by-同舟云学术

State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network

Published:2024-02 Issue: Volume:356 Page:122417
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Zhang Yue,Wang Yeqin,Zhang Chu,Qiao Xiujie,Ge Yida,Li Xi,Peng Tian,Nazir Muhammad Shahzad

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

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