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)

西安理工大学在机器学习领域的研究(经验模型、容量恢复识别校正和机器学习共驱动锂离子电池剩余使用寿命预测)

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：202-202.

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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)

西安理工大学在机器学习领域的研究(经验模型、容量恢复识别校正和机器学习共驱动锂离子电池剩余使用寿命预测)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果在一份新的报告中讨论。根据NewsRx记者发自西安的新闻报道，研究指出：“锂离子电池是最重要的储能和转换装置。”电池运行状况管理系统的重要组成部分，为指定电池运行状况提供重要信息能源控制策略和防止锂离子电池故障"。

Abstract

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.”

Key words

Xi’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xi’an Technological Universit y

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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