Robotics & Machine Learning Daily News2024,Issue(Jul.9) :103-104.

New Findings from Beijing Jiaotong University Update Understanding of Machine Le arning (Knee-point-conscious Battery Aging Trajectory Prediction Based On Physic s-guided Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :103-104.

New Findings from Beijing Jiaotong University Update Understanding of Machine Le arning (Knee-point-conscious Battery Aging Trajectory Prediction Based On Physic s-guided Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Earlyprediction o f aging trajectories of lithium-ion (Li-ion) batteries is critical for cycle lif e testing, qualitycontrol, and battery health management. Although data-driven machine learning (ML) approaches arewell suited for this task, unfortunately, r elying solely on data is exceedingly time-consuming and resourceintensive,even in accelerated aging with complex aging mechanisms.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Beijing Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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