臺灣博碩士論文加值系統

本論文之主要研究目的為完成『結合庫倫積分法與查表法的複合型電池殘餘電量估算之電池管理系統研究』，本系統包含單板電腦、微控制器、電池充電平台、電池放電平台與Panasonic NCR18650B鋰離子電池。
首先建立一套電池充放電特性量測平台，利用微控制器Arduino Mega 2560與感測器之結合，量測電池的充放電特性，並傳送至單板電腦Raspberry Pi顯示數據與建立資料庫。根據電池特性，利用Peukert定律對庫倫積分法與查表法進行修正，並將兩種方法作結合，以提高電池殘餘電量估算的精準度。

This study proposed a study of the battery management system using the combination of coulomb counting method and lookup table method in the estimation of state of charge. The proposed system was comprised of a single board computer, a microcontroller, a battery charging platform, a battery discharging platform, and a Panasonic NCR18650B Lithium ion battery. First, a battery charge/discharge characteristic measuring platform was built by combining an Arduino Mega 2560 microcontroller with sensors to measure the battery charge/discharge information, which was sent to the Raspberry Pi single board computer in order to display data and create a database. According to the battery characteristics, the Coulomb counting and lookup table were corrected using Peukert's law and the two methods are combined, so as to increase the precision of the state of charge estimation.

Honors and Conference Paper II
Abstract (in Chinese) III
Abstract (in English) IV
Acknowledgements VI
Figures Captions VII
Tables Captions VIII
Contents IX
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 2
1.3 Organization of This Thesis 2
Chapter 2 Lithium-Ion Battery Characteristics 3
2.1 Basic Characteristics of Lithium-Ion Batteries 3
2.2 Panasonic NCR18650B Lithium-Ion Battery 5
Chapter 3 Battery Charging Method and the Battery State of Charge Estimation Method 6
3.1 Battery Charging Method 6
3.1.1 Constant Voltage Charging 6
3.1.2 Constant Current Charging 6
3.1.3 Constant Voltage/Constant Current Charging 7
3.1.4 Pulse Charging 7
3.2 Battery State of Charge Estimation Method 7
3.2.1 Specific Gravity Method 8
3.2.2 Open-Circuit Voltage Method 8
3.2.3 Closed-Loop Voltage Method 9
3.2.4 Lookup Table Method 9
3.2.5 Coulomb Counting Method 10
3.2.6 Internal Resistance Method 10
3.2.7 Artificial Neural Network Method 11
Chapter 4 Lithium-Ion Battery Charge/Discharge Measurement 12
4.1 Instruments 12
4.2 Battery Charge Characteristic Measurement Experiment 14
4.2.1 Battery Charging Platform Building 14
4.2.2 Battery Charge Characteristic Measurement Experiment 16
4.2.3 Experimental Results and Data Analysis 17
4.3 Battery Discharge Characteristic Measurement Experiment 17
4.3.1 Battery Discharging Platform Building 17
4.3.2 Battery Discharge Characteristic Measurement Experiment 17
4.3.3 Experimental Results and Data Analysis 18
Chapter 5 Battery State of Charge Estimation Method Establishment and Analysis 19
5.1 Battery State of Charge Estimation Method Establishment 19
5.1.1 Modified Coulomb Counting Method 19
5.1.2 Modified Lookup Table Method 21
5.1.3 Compound Battery State of Charge Estimation Method 21
5.2 Battery State of Charge Estimation Method Analysis 22
Chapter 6 Conclusion and Future Studies 24
6.1 Conclusion 24
6.2 Future Studies 24
References 25
Figures 30
Tables 44
Biography 49

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