Robotics & Machine Learning Daily News2024,Issue(Sep.11) :72-72.

Studies from Tianjin University of Technology Further Understanding of Machine L earning (Capacity Prediction of Lithium-ion Batteries Based On Ensemble Empirica l Mode Decomposition and Hybrid Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.11) :72-72.

Studies from Tianjin University of Technology Further Understanding of Machine L earning (Capacity Prediction of Lithium-ion Batteries Based On Ensemble Empirica l Mode Decomposition and Hybrid Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Considering the i nfluence of capacity regeneration on the prediction accuracy of the remaining us eful life (RUL) of lithium-ion batteries (LIB), a multi-stage capacity predictio n method based on ensemble empirical mode decomposition (EEMD) and hybrid machin e learning is proposed. Firstly, the aging data of LIB is decomposed into residual sequence (degradation trends) and intrinsic mode function (IMF) by the EEMD algorithm.”

Key words

Tianjin/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Tianjin University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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