4.7 Article

An Enhanced Thermal Model With Virtual Resistance Technique for Pouch Batteries at Low Temperature and High Current Rates

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JESTPE.2021.3127892

Keywords

Resistance; Batteries; Temperature measurement; Mathematical models; Immune system; Heating systems; Resistance heating; Battery management system (BMS); battery thermal model; high current rate; low temperatures; virtual resistance model (VRM)

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This article proposes an enhanced thermal model for pouch batteries, which can be used for battery management systems in low temperature and high current conditions. The model integrates a virtual resistance model (VRM) and a post resistance model for low temperatures. The VRM is extrapolated from the resistance model under room temperature conditions based on the Arrhenius equation. The complete thermal model is validated at low temperatures and high discharge rates, with maximum mean errors of 0.72°C for cyclic pulse current and 0.79°C for constant current working conditions.
In this article, an enhanced thermal model is proposed for pouch batteries, which can be used for a battery management system (BMS) at low temperatures and high current rates. This thermal model integrates a virtual resistance model (VRM) and post resistance model at low temperatures. First, based on the Arrhenius equation, the resistance model at low temperatures (from 0? to -10 ?) and high discharge rates (from 3.125C to 12.5C) is extrapolated from the resistance model under room temperature conditions. In this context, the resistance model at low temperatures is regarded as the VRM. In comparison to the experimental results, the maximum error of this VRM is 0.851 mO . In addition, the equivalent post resistance model of the pouch battery, including that of the positive electrode and negative electrode, is also given for low temperatures. Finally, the complete thermal model for pouch batteries is validated at low temperatures and high discharge rates. The temperature evolution at different points on the battery, along with the heat-generation properties of the battery, is simulated under cyclic pulse current and constant current working conditions. For cyclic pulse current, the maximum mean error in terms of temperature evolution is 0.72 ?, and for constant current working conditions, the maximum mean error is 0.79 ?.

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