کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1289281 973294 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
State-of-charge prediction of batteries and battery–supercapacitor hybrids using artificial neural networks
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
پیش نمایش صفحه اول مقاله
State-of-charge prediction of batteries and battery–supercapacitor hybrids using artificial neural networks
چکیده انگلیسی

The state-of-charge (SOC) of batteries and battery–supercapacitor hybrid systems is predicted using artificial neural networks (ANNs). Our technique is able to predict the SOC of energy storage devices based on a short initial segment (less than 4% of the average lifetime) of the discharge curve. The prediction shows good performance with a correlation coefficient above 0.95. We are able to improve the prediction further by considering readily available measurements of the device and usage. The prediction is further shown to be resilient to changes in operating conditions or physical structure of the devices.

Research highlights▶ State-of-charge of batteries and battery–supercapacitor hybrids is predicted. ▶ Good correspondence between prediction and observed results was demonstrated. ▶ Prediction is performed by ANN based on short initial segment of discharge curve. ▶ Prediction is resilient to changes in operating conditions and physical structure.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 196, Issue 8, 15 April 2011, Pages 4061–4066
نویسندگان
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