کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1286084 1497942 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Coupled mechanical-electrical-thermal modeling for short-circuit prediction in a lithium-ion cell under mechanical abuse
ترجمه فارسی عنوان
مدل سازی حرارتی مکانیکی الکتریکی و حرارتی برای پیش بینی اتصال کوتاه در یک سلول یون لیتیوم تحت سوء استفاده مکانیکی
کلمات کلیدی
باتری لیتیوم یون، مدار کوتاه، شبیه سازی چند فیزیک، خرابی مکانیکی، مدل ساندویچ نماینده
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
چکیده انگلیسی


• We present a coupled mechanical-electrical-thermal model for battery simulation.
• The onset of mechanical crush induced short circuit is predicted.
• The voltage and temperature evolution that follow a short circuit are predicted.
• We examine the effect of electrical contact area on the electrical-thermal responses.

In order to better understand the behavior of lithium-ion batteries under mechanical abuse, a coupled modeling methodology encompassing the mechanical, electrical and thermal response is presented for predicting short-circuit under external crush. The combined mechanical-electrical-thermal response is simulated in a commercial finite element software LS-DYNA® using a representative-sandwich finite-element model, where electrical-thermal modeling is conducted after an instantaneous mechanical crush. The model includes an explicit representation of each individual component such as the active material, current collector, separator, etc., and predicts their mechanical deformation under quasi-static indentation. Model predictions show good agreement with experiments: the fracture of the battery structure under an indentation test is accurately predicted. The electrical-thermal simulation predicts the current density and temperature distribution in a reasonable manner. Whereas previously reported models consider the mechanical response exclusively, we use the electrical contact between active materials following the failure of the separator as a criterion for short-circuit. These results are used to build a lumped representative sandwich model that is computationally efficient and captures behavior at the cell level without resolving the individual layers.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 290, 20 September 2015, Pages 102–113
نویسندگان
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