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.

Battery Thermal Dissipation Characterization with External Coating Comparison / Torrisi, Alessandro; Tabarelli, Franco; Brunelli, Davide. - (2022), pp. 190-194. (Intervento presentato al convegno IEEE MetroInd4.0&IoT tenutosi a Trento nel 7th-9th June, 2022) [10.1109/MetroInd4.0IoT54413.2022.9831710].

Battery Thermal Dissipation Characterization with External Coating Comparison

Torrisi, Alessandro
Primo
;
Brunelli, Davide
Ultimo
2022-01-01

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
Pisctaway, NJ
IEEE Institute of Electrical and Electronics Engineers
978-1-6654-1093-9
Torrisi, Alessandro; Tabarelli, Franco; Brunelli, Davide
Battery Thermal Dissipation Characterization with External Coating Comparison / Torrisi, Alessandro; Tabarelli, Franco; Brunelli, Davide. - (2022), pp. 190-194. (Intervento presentato al convegno IEEE MetroInd4.0&IoT tenutosi a Trento nel 7th-9th June, 2022) [10.1109/MetroInd4.0IoT54413.2022.9831710].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/351641
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