کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7726301 1497859 2018 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A quick on-line state of health estimation method for Li-ion battery with incremental capacity curves processed by Gaussian filter
ترجمه فارسی عنوان
یک روش سریع برآورد روش برآورد سلامت برای باتری لیتیوم یون با منحنی های ظرفیت افزایشی که توسط فیلتر گاوسی پردازش می شود
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
چکیده انگلیسی
This paper proposes an advanced state of health (SoH) estimation method for high energy NMC lithium-ion batteries based on the incremental capacity (IC) analysis. IC curves are used due to their ability of detect and quantify battery degradation mechanism. A simple and robust smoothing method is proposed based on Gaussian filter to reduce the noise on IC curves, the signatures associated with battery ageing can therefore be accurately identified. A linear regression relationship is found between the battery capacity with the positions of features of interest (FOIs) on IC curves. Results show that the developed SoH estimation function from one single battery cell is able to evaluate the SoH of other batteries cycled under different cycling depth with less than 2.5% maximum errors, which proves the robustness of the proposed method on SoH estimation. With this technique, partial charging voltage curves can be used for SoH estimation and the testing time can be therefore largely reduced. This method shows great potential to be applied in reality, as it only requires static charging curves and can be easily implemented in battery management system (BMS).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 373, 1 January 2018, Pages 40-53
نویسندگان
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