基于矩形自卷积窗算法数据测量的充电桩设计  

The Data Measurement Research of Solar Charging Point Based on Rectangular Self-Convolution Window Algorithm

作　　者：贾君瑞[1,2] 董航飞 季肖枫 严帅[1] JIA Jun-rui;DONG Hang-fei;JI Xiao-feng;YAN Shuai(Nantong Shipping College Department of Electrical and Mechanical, Nantong 226010, China;Nanjing University of Aeronautics and Astronautics, College of Aerospace Engineering, Nanjing 210016 China;Zhongtian Yupin Technology Co, Ltd, Design Department, Nantong 226010, China)

机构地区：[1]南通航运职业技术学院机电系,江苏南通226010 [2]南京航空航天大学航空宇航学院,江苏南京210016 [3]中天昱品科技有限公司设计部,江苏南通226010

出　　处：《数学的实践与认识》2018年第9期199-205,共7页Mathematics in Practice and Theory

基　　金：2015年度南通市市级科技计划项目“基于太阳能供电的电动自行车无线充电系统设计”(MS12015034);江苏省高等职业院校专业带头人高端研修资助项目(2016GRFX037)

摘　　要：为有效抑制太阳能供电充电桩由于外界环境的温度和光照强度的不规律变化造成光伏电池输出电压的发生扰动，进而引起充电桩输入电能发生畸变，导致数据采样与信号周期不同步产生的测量误差，在说明准同步采样原理的基础上，进行了太阳能供电充电桩的硬件和软件设计，通过充电实验验证了系统功能的完整性和稳定性．并利用矩形自卷积窗作为加窗方法，实现了对充电桩电量数据的测量．测量结果表明，方法可以将因采样不同步所引起的测量误差控制在较好的范围内，并对有功功率、电压有效值和电流有效值的测量误差进行了分析．In order to effectively suppress the photovoltaic cell output voltage disturbance of the solar power charging pile due to the irregular changes of external environment temperature and light intensity, which is resulting in charging pile input power distortion and data sampling and signal cycle unsynchronized measurement error.Based on the principle of quasi-synchronous sampling, the article designs the hardware and software of the solar-powered charging pile, and verifies the integrity and stability of the system through charging experiments. The data of the charging pile was measured by using the rectangular self-convolution window as the windowing method. The measurement results show that this method can control the measurement error caused by asynchronous sampling in a better range.In addition,the article analyzes the measurement error of active power, voltage RMS and RMS current.

关 键 词：太阳能 充电桩 电量参数 矩形自卷积窗 

分 类 号：TM910.6[电气工程—电力电子与电力传动]