A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries-Reference-Cited by-同舟云学术

A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries

Published:2022-12 Issue: Volume:435 Page:141404
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Ren Pu,Wang Shunli^ORCID,Chen Xianpei,Zhou Heng,Fernandez Carlos,Stroe Daniel-Ioan

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference68 articles.

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4. Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries;Shi;Appl. Energy,2022

5. On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects;Shi;J. Power Sources,2022

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