Robust Parameter Identification Strategy for Lead Acid Battery Model
نویسندگان
چکیده
The most popular approach for smoothing renewable power generation fluctuations is to use a battery energy storage system. lead-acid one of the used types, due several advantages, such as its low cost. However, precision model parameters crucial reliable and accurate model. Therefore, determining actual required. This paper proposes an optimal identification strategy extracting battery. proposed strategy-based metaheuristic optimization algorithm applied Shepherd bald eagle search (BES) based provided excellent performance in battery’s unknown parameters. As result, strategy’s total voltage error has been reduced 2.182 × 10?3, where root mean square (RMSE) between data 6.26 10?5. In addition, efficiency achieved 85.32% using BES algorithm, which approved efficiency.
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ژورنال
عنوان ژورنال: Batteries
سال: 2022
ISSN: ['2313-0105']
DOI: https://doi.org/10.3390/batteries8120283