Efficient Internal Resistance and Specific Heat Identification of Li-Ion Battery at Low Temperature Conditions
D. Herrera Vega, Sousso Kélouwani, Loïc Boulon
Abstract
D. Herrera Vega, Sousso Kélouwani, Loïc Boulon
Abstract
The operating temperature has a significant impact on the performance of electrochemical systems such as batteries. The amount of energy stored inside depends largely on the temperature (especially under 0°C). To maintain a good energy performance of the electric vehicle, it is necessary to know the parameters that characterize the battery to allow a better approximation of the amount of remaining energy in the battery. This document presents an approximated battery model and shows the effect of the low temperature on the parameters of the battery. The objective of this document is to show a simple method to identify the internal resistance and the specific heat of the battery by measuring the open circuit voltage through time, this will allow to know how to manage the energy of the battery that is required to perform the cold start of an electric vehicle.
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The operating temperature has a significant impact on the performance of electrochemical systems such as batteries. The amount of energy stored inside depends largely on the temperature (especially under 0°C). To maintain a good energy performance of the electric vehicle, it is necessary to know the parameters that characterize the battery to allow a better approximation of the amount of remaining energy in the battery. This document presents an approximated battery model and shows the effect of the low temperature on the parameters of the battery. The objective of this document is to show a simple method to identify the internal resistance and the specific heat of the battery by measuring the open circuit voltage through time, this will allow to know how to manage the energy of the battery that is required to perform the cold start of an electric vehicle.
Key concepts: Internal resistance, Battery (electricity), Automotive engineering, Voltage, Electric vehicle, Energy (signal processing), Materials science, Electrical engineering