Data analytic approach for calibration of online photovoltaic cell metrology

光伏电池在线计量校准的数据分析方法

• 批准号: 538434-2019
• 负责人: Prasad, Vinay
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680419
• 关键词: Data; analytic; approach; calibration; online

Photovoltaic (PV) cells are used to harness solar energy and convert it to electricity, and crystalline silicon PV cells are the major technology being used. Quality control of the PV cells being produced is challenging to accomplish in real time, since these cells are produced in a high-throughput process. However, there are some methods available for offline testing of the cells, with measurement of the sheet resistance with the four point probe being the most common measurement technique.Aurora Solar has developed an inline (i.e. real time) sensor based on infrared reflectometry for monitoring quality of the PV cells during production. However, variations in processing conditions can impact the measurements and their comparison with offline measurements. Therefore, the aim of this project is to improve robustness of the inline sensor and calibrate it to be able to obtain the equivalent offline sheet resistance measurement under all possible process conditions. Advanced data analysis techniques will be applied on industrially obtained data in order to develop a robust calibration algorithm.

光伏（PV）细胞用于利用太阳能并将其转换为电能，而结晶硅PV细胞是所使用的主要技术。由于这些细胞是在高通量过程中产生的，因此生产的PV细胞的质量控制要实时实现。但是，有一些方法可用于离线测试细胞，测量板电阻，四个探针是最常见的测量技术。Aurora太阳能在生产过程中基于红外反映用于监测PV细胞质量的红外反射量的内联（即实时）传感器。但是，处理条件的变化会影响测量结果及其与离线测量值的比较。因此，该项目的目的是提高直列传感器的鲁棒性并校准其在所有可能的过程条件下获得等效的离线电阻测量。先进的数据分析技术将应用于工业获得的数据，以开发可靠的校准算法。