کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4916133 | 1428086 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Non-destructive fast charging algorithm of lithium-ion batteries based on the control-oriented electrochemical model
ترجمه فارسی عنوان
الگوریتم شارژ سریع غیرمخرب باتری های لیتیوم یون بر اساس مدل الکتروشیمیایی کنترل گرا
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کلمات کلیدی
باتری لیتیوم یون، مدل الکتروشیمیایی، رسوب لیتیم، شارژ سریع ناظر بیش از حد بالقوه،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
مهندسی انرژی و فناوری های برق
چکیده انگلیسی
Fast charging is critical for the application of lithium-ion batteries in electric vehicles. Conventional fast charging algorithms may shorten the cycle life of lithium-ion batteries and induce safety problems, such as internal short circuit caused by lithium deposition at the negative electrode. In this paper, a novel, non-destructive model-based fast charging algorithm is proposed. The fast charging algorithm is composed of two closed loops. The first loop includes an anode over-potential observer that can observe the status of lithium deposition online, whereas the second loop includes a feedback structure that can modify the current based on the observed status of lithium deposition. The charging algorithm enhances the charging current to maintain the observed anode over-potential near the preset threshold potential. Therefore, the fast charging algorithm can decrease the charging time while protecting the health of the battery. The fast charging algorithm is validated on a commercial large-format nickel cobalt manganese/graphite cell. The results showed that 96.8% of the battery capacity can be charged within 52Â min. The post-mortem observation of the surface of the negative electrode and degradation tests revealed that the fast charging algorithm proposed here protected the battery from lithium deposition.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 204, 15 October 2017, Pages 1240-1250
Journal: Applied Energy - Volume 204, 15 October 2017, Pages 1240-1250
نویسندگان
Zhengyu Chu, Xuning Feng, Languang Lu, Jianqiu Li, Xuebing Han, Minggao Ouyang,