Battery power detection and estimation methods in the Digital Still Camera

• Main Authors: Hsiao-Chang Yao, 姚孝昌
• Other Authors: Chih-Ping Yu
• Format: Others
• Online Access: http://ndltd.ncl.edu.tw/handle/93k6ga

碩士 === 國立臺北科技大學 === 電機工程研究所 === 104 === Since universal popularity of the electronic product, people owned and used mobile devices (laptops, tablets, and smartphones) in daily life are a common phenomenon in developed countries. As we know that those devices require battery for electricity. However, some consumer products are not effective for monitoring and controlling device’s power. Most of such products would face issues about frequently shut down or reboot, and battery indicator did not reflect the real level of power usage. Usually, it also a company with problems such as overheating of battery and causing damage to an electronic device component, which result in shortening the life of the product itself. Furthermore, there are various types of cells which include Alkaline, NiMH, Lithium Batteries, and the chemical properties of the battery are essentially different. Therefore, effective control of a variety of battery power, how to make different types of batteries when batteries insufficient automatically power off immediately, which is the purpose of this research. The present study using my own a judgment circuit(Full_Load circuit) and computational algorithms to estimate voltage in a different type of AA batteries on the digital camera. By applied this methods, the battery capacity could be detected and predicted under standard conditions, which let camera work normal operation and maintain a good battery life of products. On the other hand, when the level of battery usage or quantity of electricity is dorp then the user can be nottified to replace the new battery or reinforced turn off the devices. Following the instruction of battery usage, the user can easily access detailed information on battery power to reduce the chance of device’s broken or shut down which cause by battery issues.