Robotics & Machine Learning Daily News2024,Issue(Jul.9) :76-77.

Reports from University of Science and Technology China Highlight Recent Finding s in Machine Learning (State of Health Estimation of Lithium-ion Batteries Based On Machine Learning With Mechanical-electrical Features)

Robotics & Machine Learning Daily News2024,Issue(Jul.9) :76-77.

Reports from University of Science and Technology China Highlight Recent Finding s in Machine Learning (State of Health Estimation of Lithium-ion Batteries Based On Machine Learning With Mechanical-electrical Features)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Anhui, People’s Repu blic of China, by NewsRx correspondents, research stated, “As oneof the key par ameters to characterize the life of lithium-ion batteries, the state of health ( SOH) is ofgreat importance in ensuring the reliability and safety of the batter y system. Considering the complexityof practical application scenarios, a novel method based on mechanical-electrical feature extraction andmachine learning i s proposed to accurately estimate the SOH.”

Key words

Anhui/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Science and Tec hnology China

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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