Study of Intelligent Light Power Charging Management System

碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 104 === Nowadays, solar energy is widely applied in many fields. In this paper, A single-chip microprocessor, AT91SAM3S1B, is used in the system with maximum power point tracking is presented. The output voltage, current of the solar cells are sensing via A/D of A...

Full description

Bibliographic Details
Main Authors: CHUNG, MING-HAN, 鍾明翰
Other Authors: LEE, HSIAO-YI
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/df92eh
Description
Summary:碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 104 === Nowadays, solar energy is widely applied in many fields. In this paper, A single-chip microprocessor, AT91SAM3S1B, is used in the system with maximum power point tracking is presented. The output voltage, current of the solar cells are sensing via A/D of AT91SAM3S1B. Based on the output data of solar cells, a new maximum power point tracking method to make the best output efficiency of solar cells. The purpose of this thesis is to develop the maximum power tracker of solar cell. In order to react to the illumination condition changed, the tracker can track the maximum power point of solar cell. The performance and longevity of lithium ion batteries depend, to a large extent, on the quality of their chargers. Therefore, it is important to determine the optimal charging pattern for lithium battery. From charging methods, ReflexTM charging algorithm is proven to have the advantages such as prolong cycle lives, enhance discharge/charge energy efficiency, and reduce the charging time. The research of the optimal charging waveform for lithium batteries and the implementation of the charging circuit are presented. Achieve the best performance is found, the number of experiments can be minimized by using Taguchi Method and Orthogonal Arrays.