电动汽车锂电池电源故障激光传感器设计
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摘要
为了提升锂电池电源故障检测灵敏度,进而减少锂电池电源故障检测时间,提高检测效率,针对当前电动汽车锂电池电源故障检测中存在的人工检测过程复杂、检测时间长等问题,进行电池电源故障激光传感器设计。为保证电池电源光强信号的稳定性,采用可进行自适应调节光强与频率的电子元件组成激光传感器的光学系统;利用光学系统获取电源运行状态的光学信号,通过电池电源数据处理系统,将光学信号转换为数据信息,并进行计算,计算结果与不同电源故障阈值的对比,判断电源运行状态及故障类型。实验结果表明,所设计的电池电源故障激光传感器检测结果误差小于实验中的其他传感器,准确性更高,检测时间更短,说明所设计的激光传感器具有一定的可推广性。
In order to improve the sensitivity of lithium battery power failure detection,thereby reducing the detection time of lithium battery power failure,and improving the detection efficiency,the battery power failure laser is performed for the problems of complicated manual detection process and long detection time in the current power supply lithium battery power failure detection. Sensor design. In order to ensure the stability of the battery power intensity signal,an optical system that can adaptively adjust the light intensity and frequency of the electronic components to form a laser sensor is used; an optical system is used to obtain an optical signal of the power running state,and the battery power data processing system will The optical signal is converted into data information,and calculation is performed,and the calculation result is compared with different power failure thresholds to determine the power running state and the fault type. The experimental results show that the designed battery power failure laser sensor detection error is less than other sensors in the experiment,the accuracy is higher,the detection time is shorter,indicating that the designed laser sensor has certain generalization.
In order to improve the sensitivity of lithium battery power failure detection,thereby reducing the detection time of lithium battery power failure,and improving the detection efficiency,the battery power failure laser is performed for the problems of complicated manual detection process and long detection time in the current power supply lithium battery power failure detection. Sensor design. In order to ensure the stability of the battery power intensity signal,an optical system that can adaptively adjust the light intensity and frequency of the electronic components to form a laser sensor is used; an optical system is used to obtain an optical signal of the power running state,and the battery power data processing system will The optical signal is converted into data information,and calculation is performed,and the calculation result is compared with different power failure thresholds to determine the power running state and the fault type. The experimental results show that the designed battery power failure laser sensor detection error is less than other sensors in the experiment,the accuracy is higher,the detection time is shorter,indicating that the designed laser sensor has certain generalization.
引文
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[2]刘亚辉.基于激光测距巷道顶底板移近量传感器的设计与应用[J].煤炭工程,2016,48(8):71-73.
[3]龙龙,李宗峰.基于激光位移传感器的3维位置测量算法研究[J].激光技术,2017,41(4):531-536.
[4]赵世民,刘清.用于工作面液压支架对齐的激光对位传感器设计[J].工矿自动化,2016,42(11):74-77.
[5]陈思慧.基于TDLAS-WMS的高灵敏度电子鼻传感器设计[J].沈阳工业大学学报,2017,39(3):317-321.
[6]郭双琦,马珺,张建国,等.混沌-脉冲混合信号光时域反射仪[J].应用光学,2017,38(4):569-574.
[7]高参,汪金刚,杨杰,等.基于电场逆问题的D-dot电压传感器的设计与仿真[J].电工技术学报,2016,31(4):36-42.
[8]谢施君,汪海,曾嵘,等.基于集成光学电场传感器的过电压测量技术[J].高电压技术,2016,42(9):2929-2935.
[9]马宾,徐健.一种用于变压器局部放电在线监测的光纤声发射传感器实验研究[J].光谱学与光谱分析,2017,37(7):2273-2277.
[10]郭少朋,韩立,徐鲁宁,等.光纤传感器在局部放电检测中的研究进展综述[J].电工电能新技术,2016,35(3):47-53.
[11]李文江,符建.基于TDOF的分布式激光定位系统设计与实现[J].传感技术学报,2017,30(9):1438-1446.
[12]李涛涛,杨峰,许献磊.基于多视觉线结构光传感器的大尺度测量方法[J].中国激光,2017,44(11):130-140.
[13]廖平,任成,杨小雨.基于线阵CCD的高精度位移传感器前端设计[J].光电工程,2017,44(5):498-504.
[14]徐晴雯,Schwertfeger.多种激光传感器实验对比与评估[J].电子设计工程,2018,26(5):111-115.
[15]庞涛,王煜,夏滑,等.基于TDLAS技术的全量程激光甲烷传感器[J].光子学报,2016,45(9):98-104.
[16]赵燕东,涂佳炎,刘圣波,等.基于WPF的粮仓三维激光测绘系统设计与开发[J].农业工程学报,2016,32(11):265-270.
[17]赵展,卜树坡,刘昊.基于光纤传感器的电力电缆故障在线测距系统[J].电测与仪表,2017,54(13):75-78.
[18]颜敏炜,张英杰,代愽超,等.采用激光传感器的同轴度检测技术研究[J].西安交通大学学报,2017,51(10):27-32.