Adaptive prediction method for power battery operating temperature

Abstract

The invention provides an adaptive prediction method for the operating temperature of the power battery, which includes: during the dynamic charging and discharging process of the power battery, collecting real data that causes the temperature change of the power battery, obtaining the current prediction value when the power battery is running, and determining the temperature prediction The initial value of the parameters of the model and the initial value of the parameters of the heat production calculation model; the coupling calculation of the power battery temperature prediction value and the power battery heat production prediction value during the charging and discharging process; and the parameters of the temperature prediction model and the parameters of the heat production calculation model Perform adaptive identification to obtain corrected temperature prediction model parameters and heat production calculation model parameters; calculate the operating temperature of the power battery according to the corrected temperature prediction model parameters and heat production calculation model parameters. This method is suitable for the prediction of the temperature change of the power battery caused by dynamic charging and discharging, and can give the predicted value of the temperature change of the power battery in real time, thereby improving the accuracy of the state prediction of the power battery.

Description

technical field [0001] The invention belongs to the field of battery management and relates to an adaptive prediction method for the operating temperature of a power battery. Background technique [0002] Compared with traditional fuel vehicles, electric vehicles have great advantages in terms of driving economy and environmental friendliness, but the performance of power batteries in electric vehicles is greatly affected by temperature, and battery parameters, voltage output and discharge efficiency are different under different temperatures. The difference makes the maximum power and remaining available energy of the battery different at different temperatures, which affects the power capability and mileage of the vehicle in actual vehicle use. Therefore, the impact of temperature must be considered in the battery management system. In addition to the performance change of the power battery caused by the difference in ambient temperature, the heat generated during the char...

AI Technical Summary

Problems solved by technology

[0003] However, at present, in the temperature prediction of the power battery charging and discharging process, the neural network method is mostly used to predict the battery temperature. This method needs to be trained based on a large amount of data, which is inconvenient to use, and this method is mainly used for battery temperature with a fixed current rate. It is also not conducive to the temperature prediction of the power battery during the normal driving of the real vehicle

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