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-研究人员详细介绍机器学习的新数据。根据新闻报道来自中国人民共和国山东，由NewsRx记者报道，研究称：“电池组的健康和安全直接受到其电池健康状况的影响。然而，到期细胞老化的不一致性及细胞内物理量的有限测量电池组，传统的电池健康状态估计方法，有很大的局限性。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Shandong, People’s Repub lic of China, by NewsRx correspondents, research stated, “Thehealth and safety of the battery pack are directly influenced by the state of health of its cells. However, dueto the aging inconsistency among cells and the limited measurabili ty of physical quantities for cells withinthe battery pack, traditional approac hes to state of health estimation of cell have significant limitations.”
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