کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1287353 973223 2006 4 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of state-of-charge effects on lead-acid battery characteristics using neural network parameter modifier
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
پیش نمایش صفحه اول مقاله
Prediction of state-of-charge effects on lead-acid battery characteristics using neural network parameter modifier
چکیده انگلیسی

In this study, impedances of SABA BATTERY 6SB6 in different SOCs are applied to obtain the equivalent circuit parameters using Champlin method in different SOCs. Champlin method answers are used as Zview initial values to get fit results and the Artificial Neural Network (ANN) is trained by these final results. The presented ANN inputs are SOCs and outputs are equivalent circuit parameters. The completed network responses are perfectly adjusted to the experimental parameters. Accuracy of this method has been verified by using the measured data and they have shown a high consistency to experiment. So that a model is extracted in which one can approach an equivalent circuit model with specified parameters simply by entering the SOC.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 158, Issue 2, 25 August 2006, Pages 932–935
نویسندگان
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