Abstrakt
This article examines in depth the most recent thermal testing techniques for lithium-ion batteries (LIBs). Temperature estimation circuits can be divided into six divisions based on modeling and calculation methods, including electrochemical computational modeling, equivalent electric circuit modeling (EECM), machine learning (ML), digital analysis, direct impedance measurement and magnetic nanoparticles as a base. Complexity, accuracy and computational cost-based EECM circuits are feasible. The accuracy, usability and adaptability of diagrams produced using ML have the potential to be very high. However, none of them can anticipate the low-cost integrated BMS in real time due to their high computational costs. An appropriate solution might be a hybrid strategy that combines EECM and ML.
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Autorzy i Afiliacje
Ahmed Abd El Baset Abd El Halim
1
ORCID:
Ehab Hassan Eid Bayoumi
2
- Energy and Renewable Energy Department, Faculty of Engineering, Egyptian Chinese University, 14 Abou Ghazalh, Mansheya El-Tahrir,Ain Shams, Cairo, Egypt
- Department of Mechanical Engineering, Faculty of Engineering, The British University in Egypt, El Sherouk City, Cairo, Egypt
- Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt