Remaining Useful Life Predictor for EV Batteries Using Machine Learning

Remaining Useful Life Predictor for EV Batteries Using Machine Learning

The swift advancement of electric vehicle (EV) technology enhances the focus on sustainable energy storage and underscores the crucial significance of lithium-ion batteries. This research primarily presents the techniques of forecasting the Remaining Useful Life (RUL) of this battery using advanced...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Acharya, Biswaranjan (author)
مؤلفون آخرون:	Bhatt, Ayush (author), Bostani, Ali (author), Kumar, Manish (author), Nour, Amro (author), Patel, Kevin (author), Swain, Debabrata (author)
منشور في:	2024
الوصول للمادة أونلاين:	http://hdl.handle.net/11675/12163 http://www.scopus.com/inward/record.url?scp=85204625010&partnerID=8YFLogxK
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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