A numerical and statistical implementation of a thermal model for a lithium-ion battery

MORALI U.

ENERGY, cilt.240, 2022 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 240
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.energy.2021.122486
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Lithium-ion battery, Battery thermal model, Maximum battery temperature, Statistical method, BEHAVIOR, GEOMETRY, HEAT
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Lithium-ion batteries are substantial technologies to improve energy storage. If a detailed understanding of thermal behavior for a range of operating conditions is achieved, lithium-ion batteries can be used more effectively in various applications. This study focuses on the effect of ambient temperature, discharge rate, depth-of-discharge, and convective heat transfer coefficient on the maximum battery temperature and maximum battery temperature difference of a commercially available LiMn2O4 pris-matic battery. The statistical evaluation showed that the ambient temperature with the delta value of 0.55 was the most influential discharge parameter while the effect of the depth-of-discharge on the maximum battery temperature can be neglected. The maximum battery temperature difference is dominated by the C-rate with the delta value of 15.5399 and the convective heat transfer coefficient with the delta value of 4.2624. More attention is paid to both the C-rate and the convective heat transfer coefficient to simultaneously control and improve the maximum battery temperature and maximum battery temperature difference due to they fulfilled the requirement for a significance level of 95%. The statistical results provide unique insights into the difficult-to-determine effect of the discharge param-eters that are closely monitored and controlled to improve the battery thermal management systems. (C) 2021 Elsevier Ltd. All rights reserved.