Online identification device and method for battery parameters

Abstract

The invention relates to an online identification device and method for battery parameters, the load of a battery changes with the working state, and the method comprises the steps: injecting a presetfrequency point injection signal into a battery cell (S310); collecting a voltage signal on the battery cell and a current signal passing through the battery cell (S320); calculating according to thevoltage signal and the current signal of the battery cell to obtain amplitudes and phases of the voltage signal and the current signal generated by a preset frequency point injection signal on the battery cell (S330); and calculating a parameter of the battery cell based on amplitudes and phases of a voltage signal and a current signal generated by a preset frequency point injection signal on thebattery cell (S340). According to the device and the method, the success rate and the accuracy of battery parameter identification can be improved, so that the estimation precision of the internal resistance, the SOC and the SOH of the battery is improved.

Description

technical field [0001] The invention relates to the technical field of batteries, in particular to an online identification method and device for battery internal parameters. Background technique [0002] At present, in order to replace or maintain the battery of the device in time, a common method is to monitor battery parameters to know the usage status of the battery. The calculation of battery parameters is to collect the working voltage and current signals of the battery in real time through the battery management system or other methods, and then calculate the internal parameters of the battery according to the collected voltage and current signals, such as battery power and health status Wait. However, this battery parameter measurement method is aimed at a relatively stable state of the battery load, because when the battery load is relatively stable, its voltage and current are relatively stable, and the change with the load is small, so based on this stable measur...

AI Technical Summary

Problems solved by technology

However, when the load of the battery changes significantly with the working state, the working current of the battery changes greatly and relatively quickly, which leads to inaccurate measurement of the working current of the battery, and it is difficult to meet the measurement conditions required for battery parameter update, resulting in a relatively low update failure rate. High, update speed and cycle are very long

For example, drones, during the flight of drones, the aircraft needs to adjust its attitude in real time, and various load conditions may appear, which makes it difficult to estimate and measure battery parameters such as internal resistance during the flight of drones. When the UAV is not flying, the load is very small, and it is difficult to distinguish between various load states

[0003] Therefore, in the prior art, when the load changes greatly or quickly, it is difficult to obtain accurate battery voltage and current information within a certain period of time, resulting in a very long update speed and cycle of battery parameters such as battery internal resistance, and a low success rate. The problem

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