摘要
因机载28 V串联锂电池组内部早期故障难以被发现,且会持续恶化,严重时还会导致飞行事故发生。研发一种新型机载锂电池组早期故障预警方法,融合了基于改进样本熵及改进相关系数的锂电池早期故障预警方法的优点,能及时找出串联锂电池组内发生早期故障的单体电池且能够准确识别早期故障类型。实验结果表明:在DST工况下,该方法与基于改进样本熵的电池组早期故障预警方法相比,预警误报率降低90.48%,并能够准确地识别被注入的早期故障电池单体序号及早期故障类别。
To deal with the difficulty in detecting the potential internal failure of airborne 28 V series lithium battery pack,and to avoid flight accidents caused by continuous deteriorating faults,a novel early fault warning method for airborne lithium battery pack integrating the advantages of the improved sample entropy and improved correlation coefficient is developed,with which,not only the single battery with early failure in series lithium battery pack can be timely located,but the types of early fault also can be accurately identified.Experimental results show that the false alarm rate of the proposed method,under DST conditions,is 90.48%lower than that of the method based on improved sample entropy,and can correctly identify the battery serial number and early fault type injected into the early fault.
作者
刘威
王友仁
陈则王
LIU Wei;WANG Youren;CHEN Zewang(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《机械制造与自动化》
2023年第1期194-198,共5页
Machine Building & Automation
基金
航空科学基金资助项目(20183352030)
研究生开放基金项目(kfjj20200301)。
关键词
机载锂电池组
早期故障预警
改进样本熵
相关系数
复杂工况
airborne lithium battery pack
early failure warning
improved sample entropy
correlation coefficient
complicated condition
