博碩士論文 995301021 詳細資訊




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姓名 梁志誠(Chih-cheng Liang)  查詢紙本館藏   畢業系所 電機工程學系在職專班
論文名稱 具智慧型控制之非接觸式鋰錳電池充電器
(Contactless Li-Mn Battery Charger with Intelligent Control)
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摘要(中) 本論文提出一只以數位訊號處理器為基礎之非對稱歸屬函數之TSK機率模糊類神經網路控制非接觸式鋰錳電池充電器。此充電器將設計對一鋰錳電池組實現定電流-定電壓混合式充電策略,所提電路架構採用半橋串聯諧振電路。為改進U型鐵芯變壓器有限氣隙距離所造成電磁感應不良及其效率不佳問題,本文改以圓盤型線圈耦合器取代U型鐵芯變壓器。額定功率時,兩圓盤型線圈氣隙間距最大為20公厘,效率可達80%。為了要改善輸出電壓在負載調節及追蹤輸出電流命令變動時的暫態響應,而以非對稱歸屬函數之TSK機率模糊類神經網路控制器取代傳統的比例積分控制器。此外,使用所提出之非對稱歸屬函數之TSK機率模糊類神經網路控制器可改善電池定電流充電轉換為定電壓充電模式後的電流漣波。本文將詳細介紹非對稱歸屬函數之TSK機率模糊類神經網路的架構、線上學習法則以及收斂性分析,而所提之非對稱歸屬函數之TSK機率模糊類神經網路控制器實現對二次電池之定電流-定電壓混合式充電策略的控制性能將由實驗結果驗證。
摘要(英) A digital signal processor (DSP)-based TSK-type probabilistic fuzzy neural network with asymmetric membership function (TSKPFNN-AMF) is proposed in this study to control a contactless battery charger. The half-bridge series resonant converter (SRC) is employed in the power stage while the designed charger adopts constant-current and constant-voltage (CC-CV) charging strategy to charge a Li-Mn battery pack. In order to improve the inferior electromagnetic induction and efficiency of the U-shape ferrite core transformer, the U-shape ferrite core transformer is replaced by the circular pad couplers. As a result, the air gap distance of two circular pads can reach 20mm and the efficiency is 80% at the rated output power. Moreover, to improve the transient of voltage regulation during load variation and the tracking of current command change, a TSKPFNN-AMF controller is proposed to replace the traditional proportional-integral (PI) controller. The proposed TSKPFNN-AMF is incorporated into the CC-CV charging strategy in order to overcome the current ripple that comes after the transition from CC to CV charging. The network structure and the online learning algorithms of the TSKPFNN-AMF controller are introduced in detail. Furthermore, the control performances of the proposed TSKPFNN-AMF control system for CC-CV charging are evaluated by some experimental results.
關鍵字(中) ★ 圓盤型線圈
★ 半橋串聯諧振轉換器
★ 數位訊號處理器
★ 鋰錳電池
★ 定電流充電
★ 定電壓充電
關鍵字(英)
論文目次 目 錄
中文摘要 I
英文摘要 II
目錄 III
圖目錄 VII
表目錄 XII
第一章 緒論 1
1.1 研究動機與目的 1
1.2 研究背景 5
1.3 論文大綱 10
第二章 感應線圈特性與鋰離子電池介紹 11
2.1 簡介 11
2.2 磁性元件及感應線圈原理介紹 11
2.2.1 磁性材料 11
2.2.2 感應線圈原理介紹 13
2.2.3 變壓器之等效模型. 15
2.3 磁感應之非理想效應 19
2.3.1 鐵芯損失 19
2.3.2 線圈損失 20
2.4 鋰離子電池原理與其安全保護 22
2.4.1 鋰離子電池之電化學原理 22
2.4.2 鋰離子電池之特性與規格 24
2.5 二次電池充電法簡介 26
2.5.1 定電壓充電法 26
2.5.2 定電流充電法 27
2.5.3 混合式充電法 27
2.5.4 脈衝式充電法 28
2.5.5 充電法 28
第三章TTMS320F28035數位訊號處理器 30
3.1TTMS320F28035為核心之數位訊號處理器簡介 30
3.1.1 數位訊號處理器TMS320F28035之功能簡介 30
3.1.2 記憶體規劃 31
3.2TTMS320F28035週邊功能介紹 33
3.2.1 增強型脈波寬度調變模組 33
3.2.2 中斷處理之流程 34
3.2.3 類比/數位轉換器 35
3.2.4 串列週邊介面模組 36
第四章 串聯諧振轉換器之研製 39
4.1 簡介 39
4.2 R-L-C串聯諧振電路 ..39
4.3 半橋串聯諧振轉換器之電路分析 41
4.4 半橋串聯諧振轉換器之電路動作原理 43
4.5 半橋串聯諧振轉換器之設計 51
4.5.1 電路架構與規格 51
4.5.2 硬體電路設計 52
4.5.2.1 諧振槽元件設計 52
4.5.2.2 變壓器設計 54
4.5.2.3 功率電晶體與整流二極體之選擇 57
4.5.2.4 功率級佈線設計 60
4.5.2.5 電壓與電流回授電路 61
4.5.2.6 功率級硬體保護電路 62
4.5.2.7 數位訊號處理器之類比數位轉換保護電路 63
4.5.2.8 週邊電路 64
4.5.3 系統軟體流程規劃 66
4.6 實驗結果 67
第五章 以比例積分控制器控制圓盤型線圈之非接觸式充電器之研製 75
5.1 簡介 75
5.2 感應線圈模擬 75
5.2.1 U型鐵芯磁路模擬 75
5.2.2圓盤型線圈磁路模擬 77
5.3 比例積分控制器設計 79
5.3.1 比例積分控制策略 79
5.3.2 比例積分電壓控制器設計 80
5.3.3 比例積分電流控制器設計 82
5.4 非接觸式充電系統模組整合 85
5.4.1 非接觸式充電系統硬體架構 85
5.4.2 系統軟體流程規劃 86
5.5 實驗結果 88
5.5.1 非接觸式轉換器實驗結果 89
5.5.2 非接觸式充電器實驗結果 95
第六章 以非對稱歸屬函數之TSK機率模糊類神經網路控制圓盤型線圈之非接觸式充電器之研製 97
6.1 簡介 97
6.2 非對稱歸屬函數之TSK機率模糊類神經網路控制 97
6.2.1 非對稱歸屬函數之TSK機率模糊類神經網路架構 97
6.2.2 線上學習法則 101
6.2.3 收斂性分析 104
6.3 所提之非接觸式充電系統控制架構與軟體流程規劃 106
6.3.1 所提之非接觸式轉換器系統軟體流程規劃 106
6.3.2 所提之非接觸式充電器系統軟體流程規劃 108
6.4 實驗結果 110
6.4.1 非接觸式轉換器實驗結果 110
6.4.2 非接觸式充電器實驗結果 113
第七章 結論與未來展望 117
7.1結論 117
7.2未來展望 117
參考文獻 118
作者簡歷 128
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指導教授 林法正(Faa-jeng Lin) 審核日期 2014-7-24
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