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

• Main Authors: Hossain Lipu, M.S., Karim, T.F., Ansari, S., Miah, M.S., Rahman, M.S., Meraj, S.T., Elavarasan, R.M., Vijayaraghavan, R.R.
• Format: Article
• Published: MDPI 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/34298/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145663367&doi=10.3390%2fen16010023&partnerID=40&md5=b1270d6918eedd0bac5be0c3072ecff4

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...