کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6683664 501857 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An enhanced dynamic model of battery using genetic algorithm suitable for photovoltaic applications
ترجمه فارسی عنوان
یک مدل پویای پیشرفته باتری با استفاده از الگوریتم ژنتیک مناسب برای کاربردهای فتوولتائیک
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
Modeling of batteries in photovoltaic systems has been a major issue related to the random dynamic regime imposed by the changes of solar irradiation and ambient temperature added to the complexity of battery electrochemical and electrical behaviors. However, various approaches have been proposed to model the battery behavior by predicting from detailed electrochemical, electrical or analytical models to high-level stochastic models. In this paper, an improvement of dynamic electrical battery model is proposed by automatic parameter extraction using genetic algorithm in order to give usefulness and future implementation for practical application. It is highlighted that the enhancement of 21 values of the parameters of CEIMAT model presents a good agreement with real measurements for different modes like charge or discharge and various conditions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 169, 1 May 2016, Pages 888-898
نویسندگان
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