Lithium-ion batteries widely find applications as a reliable electric energy source, such as for electric vehicles. Thermal management is crucial to achieving efficiency and long-term capability. Thermal modeling is gaining momentum to aid the designer in battery management system development. Thermal dissipation strongly depends on the surface coverage thermal conductivity. This paper presents a novel method to evaluate how different surface covers can affect battery power dissipation. For this purpose, we developed a modular electronic load capable of sinking up to 40A for each module. We also provide an effective and cheap way to monitor the battery temperature by sensing different spots with negative temperature coefficient (NTC) thermistors. After the setup and method explanation, we tested our method with a single 21700 li-ion cell under different conditions. Preliminary results show the method's capability to highlight the thermal dissipation variation with different surface conductivity.

Torrisi, A., Tabarelli, F., Brunelli, D. (2022). Battery Thermal Dissipation Characterization with External Coating Comparison. Pisctaway, NJ : IEEE Institute of Electrical and Electronics Engineers [10.1109/MetroInd4.0IoT54413.2022.9831710].

Battery Thermal Dissipation Characterization with External Coating Comparison

Brunelli, Davide
Supervision
2022

Abstract

Lithium-ion batteries widely find applications as a reliable electric energy source, such as for electric vehicles. Thermal management is crucial to achieving efficiency and long-term capability. Thermal modeling is gaining momentum to aid the designer in battery management system development. Thermal dissipation strongly depends on the surface coverage thermal conductivity. This paper presents a novel method to evaluate how different surface covers can affect battery power dissipation. For this purpose, we developed a modular electronic load capable of sinking up to 40A for each module. We also provide an effective and cheap way to monitor the battery temperature by sensing different spots with negative temperature coefficient (NTC) thermistors. After the setup and method explanation, we tested our method with a single 21700 li-ion cell under different conditions. Preliminary results show the method's capability to highlight the thermal dissipation variation with different surface conductivity.
2022
2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT Proceedings
190
194
Torrisi, A., Tabarelli, F., Brunelli, D. (2022). Battery Thermal Dissipation Characterization with External Coating Comparison. Pisctaway, NJ : IEEE Institute of Electrical and Electronics Engineers [10.1109/MetroInd4.0IoT54413.2022.9831710].
Torrisi, Alessandro; Tabarelli, Franco; Brunelli, Davide
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1042461
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 2
  • OpenAlex ND
social impact