研究生: |
Faiz Husnayain Faiz - Husnayain |
---|---|
論文名稱: |
Studies of Smart Charging and State of Charge Estimation for a Lead-Acid Battery Studies of Smart Charging and State of Charge Estimation for a Lead-Acid Battery |
指導教授: |
連國龍
Kuo-Lung Lian |
口試委員: |
吳啟瑞
Chi-Jui Wu 郭政謙 Cheng-Chien Kuo |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2013 |
畢業學年度: | 101 |
語文別: | 英文 |
論文頁數: | 89 |
中文關鍵詞: | three-step charging 、lead-acid batteries 、half-bridge converter 、state-of-charge 、neural network 、open circuit voltage 、coulometric counting. |
外文關鍵詞: | three-step charging, lead-acid batteries, half-bridge converter, state-of-charge, neural network, open circuit voltage, coulometric counting. |
相關次數: | 點閱:552 下載:10 |
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A proper charging and an accurate battery State of Charge (SOC) method are essential for having optimum utilization of a battery. The proper way of charging is compulsory to extend battery life and prevent it from being damaged. Three-step charge, which consist of two constant current and a constant voltage, is a charging method that speed up charging time of 10 units lead acid batteries with total capacity of 4.94Ah that connected in series up to 6.97% compare with two-step charge and prevents them being overcharged. Constant voltage discharge also provided by the half-bridge in this thesis.
The SOC estimation in this thesis use Neural Network method, then compare with Open Circuit Voltage (OCV) prediction method and coulometric counting method. Experiment results show that the system could implement three-step method without any problem and the SOC estimation shows accurate measurements with maximum average percentage error no more than 0.893%.
A proper charging and an accurate battery State of Charge (SOC) method are essential for having optimum utilization of a battery. The proper way of charging is compulsory to extend battery life and prevent it from being damaged. Three-step charge, which consist of two constant current and a constant voltage, is a charging method that speed up charging time of 10 units lead acid batteries with total capacity of 4.94Ah that connected in series up to 6.97% compare with two-step charge and prevents them being overcharged. Constant voltage discharge also provided by the half-bridge in this thesis.
The SOC estimation in this thesis use Neural Network method, then compare with Open Circuit Voltage (OCV) prediction method and coulometric counting method. Experiment results show that the system could implement three-step method without any problem and the SOC estimation shows accurate measurements with maximum average percentage error no more than 0.893%.
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