摘要
一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx编辑在中华人民共和国深圳的新闻报道，研究表明，“锂离子电池的寿命和有效性随着时间的推移而缩短，因此准确评估其健康状况至关重要。基于长期充放电数据的传统方法在速度和数据丰富性方面都受到限制。”本研究的资金支持包括基于在线参数r识别项目的电动汽车电池系统状态soc/soh联合估计技术研究（2019），国家自然科学基金（N SFC）。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Shenzhen, Peop le’s Republic of China, by NewsRx editors, research stated, “The longevity and e fficacy of lithium-ion batteries diminish over time, making accurate estimation of their health state essential. Traditional methods, based on long-term charge and discharge data, are limited in speed and data richness.” Financial supporters for this research include Research on SOC/SOH Joint Estimat ion Technology of Electric Vehicle Battery System State Based on Online Paramete r Identification Project (2019), National Natural Science Foundation of China (N SFC).
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