首页|Study Findings from College of Engineering and Technology Provide New Insights i nto Machine Learning (Integrating Machine Learning for Health Prediction and Con trol In Over-discharged Li-nmc Battery Systems)
Study Findings from College of Engineering and Technology Provide New Insights i nto Machine Learning (Integrating Machine Learning for Health Prediction and Con trol In Over-discharged Li-nmc Battery Systems)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Tamil Nadu, India, by NewsRx correspondents, research stated, “The global shift towards ele ctric vehicles (EVs) underscores the critical need for reliable battery performa nce and safety. Lithium-ion batteries, particularly Li-NMC (lithium nickel manga nese cobalt oxide), are widely adopted for their balanced functional and perform ance characteristics.”
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningCollege of Engineering and Technology
NETL
NSTL
