کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5127330 1489009 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Eyring acceleration model for predicting calendar ageing of lithium-ion batteries
ترجمه فارسی عنوان
مدل شتاب سرخ کردن برای پیش بینی سن تقویم باتری های لیتیوم یون
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


- Calendar ageing of lithium-ion batteries is analysed.
- Eyring formulation facilitates the identification phase.
- SoC drift is taken into account by the use of Lambert W function.
- This approach improves accuracy and allows a reduction in the number of parameters.

Modelling of lithium-ion batteries calendar ageing is often based on a semi-empirical approach by using, for example the Arrhenius acceleration model. Our approach is based on Eyring acceleration model, which is not widely used for electrochemical energy storage components. Parameter identification is typically performed without taking into account the state-of-charge (SoC) drifting. However, even in rest condition, battery cells' SoC drifts because of capacity losses (self-discharge and capacity fade). In this work we have taken into account the SoC drift during calendar ageing tests. For this, we considered available capacity (Ah) instead of SoC (%) as ageing factor. Then, the analytical solution of the problem leads to the use of the Lambert W function in the model formulation. Simulation results show that Lambert-Eyring model is more accurate and allows a reduction in the number of parameters to be identified.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Energy Storage - Volume 13, October 2017, Pages 176-183
نویسندگان
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