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.
作者
许爽
周铜
XU Shuang;ZHOU Tong(College of Information Engineering,Zhengzhou institute of technology,Zhengzhou 450044,China)
出处
《激光杂志》
北大核心
2019年第3期168-171,共4页
Laser Journal
基金
河南省高等学校青年骨干教师培养计划(No.2017GGJS182)
关键词
锂电池
电源故障
激光传感器
激光光强
lithium battery
power failure
laser sensor
laser light intensity
作者简介
许爽(1978-),女,河南郑州人,硕士研究生,副教授,研究方向:计算机应用;周铜(1962-),男,河南郑州人,教授,研究方向:计算机应用。
