首页|Studies from Xi’an Technological University in the Area of Machine Learning Repo rted (Empirical Model, Capacity Recoveryidentification Correction and Machine L earning Co-driven Li-ion Battery Remaining Useful Life Prediction)
Studies from Xi’an Technological University in the Area of Machine Learning Repo rted (Empirical Model, Capacity Recoveryidentification Correction and Machine L earning Co-driven Li-ion Battery Remaining Useful Life Prediction)
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 DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Xi’a n, People’s Republic of China, by NewsRx correspondents, researchstated, “Li-io n battery is the most important energy storage and conversion device. RUL predic tion, as animportant part of the battery health management system, provides imp ortant information for specifyingenergy control strategies and preventing Li-io n battery failure.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningXi’an Technological Universit y
NETL
NSTL
