کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7730797 | 1497936 | 2015 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Energy awareness for supercapacitors using Kalman filter state-of-charge tracking
ترجمه فارسی عنوان
آگاهی انرژی برای مخازن فوق با استفاده از ردیابی حالت شارژ فیلتر کلمن
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کلمات کلیدی
مخزن سوپر مدل سه شاخه، دولت شارژ، برآورد پارامتر، کلمن، آگاهی انرژی،
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
چکیده انگلیسی
Among energy buffering alternatives, supercapacitors can provide unmatched efficiency and durability. Additionally, the direct relation between a supercapacitor's terminal voltage and stored energy can improve energy awareness. However, a simple capacitive approximation cannot adequately represent the stored energy in a supercapacitor. It is shown that the three branch equivalent circuit model provides more accurate energy awareness. This equivalent circuit uses three capacitances and associated resistances to represent the supercapacitor's internal SOC (state-of-charge). However, the SOC cannot be determined from one observation of the terminal voltage, and must be tracked over time using inexact measurements. We present: 1) a Kalman filtering solution for tracking the SOC; 2) an on-line system identification procedure to efficiently estimate the equivalent circuit's parameters; and 3) experimental validation of both parameter estimation and SOC tracking for 5Â F, 10Â F, 50Â F, and 350Â F supercapacitors. Validation is done within the operating range of a solar powered application and the associated power variability due to energy harvesting. The proposed techniques are benchmarked against the simple capacitive model and prior parameter estimation techniques, and provide a 67% reduction in root-mean-square error for predicting usable buffered energy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 296, 20 November 2015, Pages 383-391
Journal: Journal of Power Sources - Volume 296, 20 November 2015, Pages 383-391
نویسندگان
Andrew Nadeau, Moeen Hassanalieragh, Gaurav Sharma, Tolga Soyata,