Robotics & Machine Learning Daily News2024,Issue(Aug.29) :94-95.

New Machine Learning Findings from China Jiliang University Described (Machine L earning for Full Lifecycle Management of Lithium-ion Batteries)

Robotics & Machine Learning Daily News2024,Issue(Aug.29) :94-95.

New Machine Learning Findings from China Jiliang University Described (Machine L earning for Full Lifecycle Management of Lithium-ion Batteries)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Developing adva nced battery materials, monitoring and predicting the health status of batteries , andeffectively managing retired batteries are crucial for accelerating the cl osure of the whole industrial chainof power lithiumion batteries for electric v ehicles. Machine learning technology plays a vital role inthe research, product ion, service, and retirement of lithium-ion batteries due to its robust learning andpredictive capabilities.”

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/China Jiliang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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