Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network-Reference-Cited by-同舟云学术

Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network

Published:2021-10 Issue: Volume:232 Page:121022
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Cheng Gong,Wang Xinzhi,He Yurong

Funder

Heilongjiang Province Science and Technology Department

Harbin Institute of Technology

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

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