کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
548203 872179 2013 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سخت افزارها و معماری
پیش نمایش صفحه اول مقاله
An ensemble model for predicting the remaining useful performance of lithium-ion batteries
چکیده انگلیسی

We developed an ensemble model to characterize the capacity degradation and predict the remaining useful performance (RUP) of lithium-ion batteries. Our model fuses an empirical exponential and a polynomial regression model to track the battery’s degradation trend over its cycle life based on experimental data analysis. Model parameters are adjusted online using a particle filtering (PF) approach. Experiments were conducted to compare our ensemble model’s prediction performance with the individual results of the exponential and polynomial models. A validation set of experimental battery capacity data was used to evaluate our model. In our conclusion, we presented the limitations of our model.


► The capacity degradation of lithium battery was characterized by an ensemble model.
► The remaining useful performance was presented as probability distribution.
► The robustness of the algorithm was verified by different datasets.
► More measured data, more accurate prediction results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Microelectronics Reliability - Volume 53, Issue 6, June 2013, Pages 811–820
نویسندگان
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