文章摘要
Origin在“光伏电池伏安特性实验”中的应用技巧
Application of Origin in Data Processing of “Photovoltaic Cells’ Volt-ampere Characteristic Experiment”
投稿时间:2020-04-22  修订日期:2020-04-22
DOI:
中文关键词: 光伏电池  伏安特性曲线  Origin  双y轴绘图  寻峰功能
英文关键词: Photovoltaic cells  Volt-ampere characteristic curve  Origin  Double-Y drawing  Peak-finding function
基金项目:国家自然科学基金项目(11802046)、重庆市自然科学基金面上项目(cstc2019jcyj-msxmX0483)、重庆市教委科学技术研究项目(KJQN201801510)和2019年度重庆科技学院大学生科技创新训练计划项目(2019187)
作者单位E-mail
樊玉勤 重庆科技学院数理与大数据学院 yqfan2014@163.com 
彭林 重庆科技学院数理与大数据学院 1980602453@qq.com 
刘家俊 重庆科技学院数理与大数据学院 384891963@qq.com 
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中文摘要:
      光伏电池伏安特性实验数据处理的方法通常采用手工描点绘图方式,其过程比较繁琐,且在读取最佳输出电压、最佳输出电流数据点时因人为因素导致随机性误差。利用Origin数据处理软件的双y轴绘图、多项式拟合和寻峰功能,巧妙且准确地读取对应最大功率时的最佳输出电压和电流数据点,获取可靠的填充因子等特征参数。与传统的数据处理方法相比,Origin更直观、准确和可靠,不仅简化了数据处理过程,且有效减小了人为因素造成的随机性误差。
英文摘要:
      Traditional data processing of “photovoltaic cells volt-ampere characteristic curve”, namely, manual tracing point drawing, is tedious. It brings the random error in estimating the best output voltage and output current data points. By using Origin software, specifically, the double-y plotting, polynomial fitting and peaks analyzer function, we skillfully and accurately obtain the best output voltage and current data points, which corresponds to the maximum power, and hence, obtain the reliable characteristic parameters of photovoltaic cells such as fill factor. Compared with traditional data processing methods, Origin processing shows more intuitive, accurate and reliable. It not only simplifies the data processing, but also effectively reduces the random error caused by human factors.
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