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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 charginglead-acid batterieshalf-bridge converterstate-of-chargeneural networkopen circuit voltagecoulometric 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.
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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%.

TABLE OF CONTENTS ABSTRACT i ACKNOWLEDGEMENTS ii TABLE OF CONTENTS iii LIST OF FIGURES vi LIST OF TABLES viii CHAPTER 1 INTRODUCTION 1 1.1. Motivation and Objectives 1 1.2. Outline 4 CHAPTER 2 LITERATURE REVIEW 5 2.1. Battery Overview 5 2.2. Lead Acid Battery Profile 6 2.3. Basic DC-DC Converter Topologies 7 2.4. Battery Charging Control Method 8 2.4.1. Constant Current Charging 8 2.4.2. Constant Voltage Charging 9 2.4.3. Two-Step Charging 9 2.4.4. Pulse Charging 10 2.4.5. ReflexTM Charging 11 2.4.6. Five Step Charging 11 2.5. State of Charge Estimation Method 12 2.6. The Feature of the Thesis 15 CHAPTER 3 BATTERY CHARGING AND DISCHARGING 16 3.1. Half-Bridge Converter Design 16 3.1.1. Inductor Selection 17 3.1.2. Output Capacitor Selection 18 3.1.3. Diode Selection 20 3.1.4. Continuous-Conduction Mode 20 3.1.5. Duty Ratio Calculation 23 3.2. Charge and Discharge Strategy 26 3.3. Switch Controller 28 3.4. Experiment Setup 33 3.4.1. Battery working condition 33 3.4.2. Experiment device 35 3.4.3. CC Studio Operation 36 3.4.4. Experiment Procedure 38 CHAPTER 4 STATE OF CHARGE ESTIMATION METHOD 40 4.1. LabVIEW Data Acquisition Interface 40 4.2. Open Circuit Voltage (OCV) 44 4.3. Coulometric Counting Method 50 4.4. Neural Network Method 52 4.4.a. History of Neural Network 52 4.4.b. Basic Structure and Model for SOC Estimation 53 4.4.c. Experiment Using Backpropagation Algorithm 58 CHAPTER 5 EXPERIMENT RESULTS AND ANALYSIS 60 5.1. Charging Test (Buck Mode) 60 5.1.1 Constant Voltage (CV) Test 60 5.1.2 Constant Current (CC) Test 62 5.1.3 Three-Step Battery Charge 63 5.1.4 Advantages of Three-Step Battery Charging 66 5.2. Discharging Test (Boost Mode) 70 5.3. Neural Network SOC Estimation 72 5.4. Comparison of SOC Estimation Method 72 5.5. Advantage of Neural Network Method 74 CHAPTER 6 CONCLUSION AND FUTURE WORK 75 6.1. Conclusion 75 6.2. Further Work 76 REFERENCE 78

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