Implications of lithium-ion cell temperature estimation methods for intelligent battery management and fast charging systems

• Autorzy: Abd El Baset Abd El Halim Ahmed , Eid Bayoumi Ehab Hassan , El-Khattam Walid , Ibrahim Amr Mohamed

Identyfikatory

DOI

10.24425/bpasts.2024.149171

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

BMS; battery management system; fast charging; lithium-ion batteries; machine learning; thermal testing techniques

PL

BMS; system zarządzania baterią; szybkie ładowanie; bateria litowo-jonowa; uczenie maszynowe; badanie termiczne

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2024
• Tom: Vol. 72, nr 3
• Strony: art. no. e149171
• Opis fizyczny: Bibliogr. 115 poz., rys., tab.

Twórcy

autor

Abd El Baset Abd El Halim Ahmed

• Energy and Renewable Energy Department, Faculty of Engineering, Egyptian Chinese University, 14 Abou Ghazalh, Mansheya El-Tahrir, Ain Shams, Cairo, Egypt

• https://orcid.org/0000-0001-9912-828X

autor

Eid Bayoumi Ehab Hassan

• Department of Mechanical Engineering, Faculty of Engineering, The British University in Egypt, El Sherouk City, Cairo, Egypt

autor

El-Khattam Walid

• Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt

autor

Ibrahim Amr Mohamed

• Department of Electric Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).