A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries
المؤلفون المشاركون
Yang, Wen-An
Xiao, Maohua
Zhou, Wei
Guo, Yu
Liao, Wenhe
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-04-11
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Lithium-ion battery is a core component of many systems such as satellite, spacecraft, and electric vehicles and its failure can lead to reduced capability, downtime, and even catastrophic breakdowns.
Remaining useful life (RUL) prediction of lithium-ion batteries before the future failure event is extremely crucial for proactive maintenance/safety actions.
This study proposes a hybrid prognostic approach that can predict the RUL of degraded lithium-ion batteries using physical laws and data-driven modeling simultaneously.
In this hybrid prognostic approach, the relevant vectors obtained with the selective kernel ensemble-based relevance vector machine (RVM) learning algorithm are fitted to the physical degradation model, which is then extrapolated to failure threshold for estimating the RUL of the lithium-ion battery of interest.
The experimental results indicated that the proposed hybrid prognostic approach can accurately predict the RUL of degraded lithium-ion batteries.
Empirical comparisons show that the proposed hybrid prognostic approach using the selective kernel ensemble-based RVM learning algorithm performs better than the hybrid prognostic approaches using the popular learning algorithms of feedforward artificial neural networks (ANNs) like the conventional backpropagation (BP) algorithm and support vector machines (SVMs).
In addition, an investigation is also conducted to identify the effects of RVM learning algorithm on the proposed hybrid prognostic approach.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Wen-An& Xiao, Maohua& Zhou, Wei& Guo, Yu& Liao, Wenhe. 2016. A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries. Shock and Vibration،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1119061
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Wen-An…[et al.]. A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries. Shock and Vibration No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1119061
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Wen-An& Xiao, Maohua& Zhou, Wei& Guo, Yu& Liao, Wenhe. A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1119061
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1119061
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر