臺灣博碩士論文加值系統

本文研製具電量回收之可攜式在線電池診斷平台。所提系統利用LC串聯諧振電路搭配功率開關建構諧振負載，對電池模組進行高頻交流抽載，使電池模組操作時呈現電感特性，並藉此獲得電池模組之動態特性。其次，所提之電量估測演算法不需等待電池的電化學反應穩定，除了可即時估測電池模組電量於離線模式時，不同負載條件下之電量；亦可於在線模式時，即時計算電池模組之電量，且於估測的過程中，同時具備電量回收之功能。此外，本文也實現了一套電池管理系統，能夠偵測電池模組內各個電池的訊號，並且對電池模組提供各式保護功能。最後，加入人機介面與電量估測平台進行雙向溝通，除了可利用偵測電路蒐集主電路及電池模組之相關參數與資料傳送至人機介面顯示，亦可直接由人機介面對系統進行控制；另外，可將所蒐集之資訊以Excel形式進行儲存，以利使用者進行後續分析。

This thesis develops a portable online battery diagnostic platform with energy recycling. The system uses an LC series resonant circuit with a power switch to construct a resonant load, and performs high-frequency AC loading on the battery module, so that the battery module exhibits an inductive characteristic when operating, and thereby obtains dynamic characteristics of the battery module. Secondly, the proposed SOC estimation algorithm does not need to wait for the electrochemical reaction of the battery to be stable, except that the battery module can be estimated in real time under different load conditions. In the online mode, the battery module can be calculated in real time, and the power recovery function is also available in the estimation process. In addition, this thesis implements a battery management system that can detect various battery signals in the battery module and provide various protection functions for the battery module. Finally, the human-machine interface(HMI) is added to the SOC estimation platform for bidirectional communication. In addition to using the detection circuit to collect the relevant parameters and data of the main circuit and the battery module and transmit it to the display of the HMI, the proposed approach can also be directly controlled by the HMI. In addition, the collected information can be stored in Excel format for the user to conduct subsequent analysis.

摘要 I
Abstract II
誌謝 III
目錄 IV
圖目錄 VIII
表目錄 XV
第一章 緒論 1
1.1 研究背景 1
1.2 文獻探討 3
1.3 論文架構 5
第二章 鋰離子電池之簡介 7
2.1 二次電池之介紹 7
2.2 常見之鋰等效模型 10
2.2.1 理想模型 10
2.2.2 線性模型 11
2.2.3 戴維寧等效模型 11
2.2.4 等效電容模型 12
2.2.5 二階RC等效模型 13
2.3 電量估測法 14
2.3.1 開路電壓法 15
2.3.2 庫倫積分法 16
2.3.3 混合法 17
2.3.4 類神經網路 17
2.4 本文所提之電量估測法 19
2.4.1 所採用之鋰電池模型 21
2.4.2 所提電量估測之相關數學模型 23
2.4.3 所提電量估測之演算法流程 27
第三章 具電量回收之可攜電池診斷平台 34
3.1 常見電池測試平台簡介 34
3.1.1 直流電源(DC/DC)測試系統 34
3.1.2 交流電源(UPS)測試系統 35
3.1.3 動力電池測試系統 36
3.2 諧振負載測試平台簡介 37
3.3 諧振負載工作模式與數學分析 38
3.4 諧振負載電路之設計準則 50
3.5 具電量回收之可攜電池診斷平台回授控制設計與實現 58
3.5.1 電池模組電壓回授 59
3.5.2 電池模組溫度回授 64
3.5.3 諧振電感電流回授 66
3.5.4 諧振電感電壓回授 72
3.6 類比數位信號轉換器(ADC) 73
3.7 PWM之驅動電路設計 74
3.8 輔助電源應用與說明 77
3.9 電池管理系統 79
3.9.1 系統架構 79
3.9.2 保護功能 81
3.9.3 人機介面及通訊系統流程 82
3.9.4 具電量回收之可攜電池診斷平台控制流程 85
第四章 數位化控制器之設計 87
4.1 數位控制器之特性 87
4.2 數位控制器dsPIC33FJ64GS606 89
4.3 數位控制晶片與系統之整合 92
第五章 電路模擬與實測結果 95
5.1 實驗系統規格 95
5.2 PSIM模擬與實測波形 98
5.4 電量回收率 117
5.5 電量估測與實際電量比較 120
第六章 結論與未來展望 125
6.1 結論 125
6.2 未來展望 126
參考文獻 127

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