Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities

Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities

Real-time battery SOX estimation including the state of charge (SOC), state of energy (SOE), and state of health (SOH) is the crucial evaluation indicator to assess the performance of automotive battery management systems (BMSs). Recently, intelligent models in terms of deep learning (DL) have recei...

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Bibliographic Details
Main Authors: Molla Shahadat Hossain Lipu, Tahia F. Karim, Shaheer Ansari, Md. Sazal Miah, Md. Siddikur Rahman, Sheikh T. Meraj, Rajvikram Madurai Elavarasan, Raghavendra Rajan Vijayaraghavan
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
state of charge
state of health
state of energy
battery management system
electric vehicle
deep learning
Online Access:https://www.mdpi.com/1996-1073/16/1/23

Internet

https://www.mdpi.com/1996-1073/16/1/23

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