| Summary: | 碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 105 === In recent years , solar generating system could be divided into two categories , one applied to high light power , the other applied to low light power situation . But for these two types of solar generating system , still has their own drawbacks. If the system for low light power situation applied to high light power situation , the high power may destroy the system which circuit can not afford stronger energy.
If the system for high light power situation applied to low light power situation , the energy from low power can not support the high light power system and charging to battery effectively.
The purpose of this research is designed to generating system with two different charging mode which could work perfectly in both indoor and outdoor environments . And this system with artificial intelligence can judge the current situation and choose the better mode to charging . To improve the efficiency of charging of this system , the control core of this system use 32-bits Microcontroller to improve efficiency of Max Power Point Tracking and judge the current situation to choose better mode .
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