透過您的圖書館登入
IP:3.144.42.196
  • 學位論文

發電自用型太陽光電系統蓄電池電量估測

Estimation of Battery Charge State in Solar PV System

指導教授 : 黃秉鈞

摘要


本研究旨在探討如何使發電自用型太陽光電系統之電量估測更準確,第一部分為發電自用型太陽光電系統全新蓄電池SOC (State Of Charge) 估測;第二部分為蓄電池老化後之SOC估測,當蓄電池出現老化的情形後,會伴隨著因蓄電池老化所造成的SOC估測誤差,故蓄電池之SOH (State Of Health) 估測就顯得相當重要。因此電池老化後之SOC估測必須考慮SOH估測,並在估測完後對SOC估測法加以修正,如此一來便可以使發電自用型太陽光電系統的電量估測更完善。

並列摘要


This thesis aims to investigate how to improve the estimation of the battery performance of Independent Solar PV System. The first part of this thesis is to predict SOC (State Of Charge) of the brand-new battery in Independent Solar PV System. The second part of this research focus on SOC determination of fading batteries. SOC determination came with error due to the battery capacity loss. Hence, diagnosis of the battery degradation is necessary. If we can estimate SOH (State Of Health) accurately so that the result of SOH prediction could make SOC determination more precise. The outcome of this research shows that we can improve the estimation of the battery performance of Independent Solar PV System.

參考文獻


[4] 蔡宗翰: “獨立型太陽光發電系統可靠度提升研究” ,國立台灣大學機械工程研究所,2015
[2] Po-Chien Hsu, Bin-Juine Huang, Wei-Chiuan Lin, Yu-Jen Chang, Cheng-Jui Chang, Kang Li, Kung-Yen Lee. Effect of switching scheme on the performance of a hybrid solar PV system. Renewable Energy 96 (2016) 520-530.
[3] 黃旭偉: “鋰電池自平衡技術及獨立型太陽光發電系統充電增強技術究” ,國立台灣大學機械工程研究所,2015
[6] Piller, Sabine, Marion Perrin, and Andreas Jossen. "Methods for state-of-charge determination and their applications." Journal of power sources 96.1 (2001): 113-120.
[7] Grewal, S., and D. A. Grant. "A novel technique for modelling the state of charge of lithium ion batteries using artificial neural networks."Telecommunications Energy Conference, 2001. INTELEC 2001. Twenty-Third International. IET, 2001.

被引用紀錄


葉振甫(2017)。自用型冷熱電共生太陽能系統開發〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201701941

延伸閱讀