کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6680340 1428071 2018 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application
ترجمه فارسی عنوان
بر اساس مدل الکتروشیمیایی روش تشخیص حالت تخریب باتری لیتیوم یون برای استفاده از وسایل نقلیه الکتریکی تمام اقلیم
کلمات کلیدی
وسایل نقلیه الکتریکی تمام عیار، وضعیت پیری، سیستم مدیریت باتری، مدل الکتروشیمیایی، شناسایی پارامتر، پارامتر مشخصه سن
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
The Lithium-ion batteries (LiBs) are the core component of the all-climate electric vehicles. The aging state recognition is carried out based on the proposed electrochemical model (EM) instead of the traditional equivalent circuit model (ECM) and black boxes model in this paper. Firstly, a group of mathematical equations are built to describe the physical and chemical behaviors of batteries based on the electrochemical theory. Then, the finite analysis method and the numerical computation method are used to solve the mathematical equations and the model has been built. Next, the optimization algorithm is used for identifying the parameters of the model. The aging state recognition of the battery on whole lifetime is carrying out based on the ageing data. Five aging characteristic parameters are determined to describe the health state of the battery, and their degradation trajectories are obtained. Finally, a battery-in-loop approach is employed to verify the model based degradation recognition. Results show that the maximum voltage error is within 50 mV and the state of health estimation error is bounded to 3%.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 219, 1 June 2018, Pages 264-275
نویسندگان
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