Robotics & Machine Learning Daily News2024,Issue(Sep.18) :41-41.

Researchers from Nanjing Tech University Describe Findings in Machine Learning ( Machine Learning Assisted Multi-objective Design Optimization for Battery Therma l Management System)

Robotics & Machine Learning Daily News2024,Issue(Sep.18) :41-41.

Researchers from Nanjing Tech University Describe Findings in Machine Learning ( Machine Learning Assisted Multi-objective Design Optimization for Battery Therma l Management System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Nanjing, People’s Repub lic of China, by NewsRx correspondents, research stated, “The rapid expansion of the electric vehicle (EV) industry necessitates the development of advanced bat tery thermal management systems (BTMSs) to safeguard the cyclic properties and s ecurity of lithium-ion batteries. However, the assessment of the performance of BTMS often overlooks the importance of considering not only the thermal regulati on effectiveness on batteries but also its own energy efficiency.” Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Anhui Province, Special Fund for Carbon Pea k and Carbon Neutralization Scientific and Technological Innovation Project of J iangsu Province.

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing Tech University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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