Internal resistance detection system and method based on weighting compensation degree factor

Abstract

The invention discloses a storage battery internal resistance detection system and method based on a weighting compensation degree factor. According to the invention, through an internal resistance detection module, sine voltage excitation signals, storage battery temperature parameters, and discharging current parameters are acquired, processed through a signal conditioning circuit and then sentto an MSP430 single-chip microcomputer to carry out data processing. By use of above acquired parameters, the internal resistance initial value and a weighting compensation degree factor of the storage battery are calculated, so the finally corrected internal resistance value of the storage battery is calculated. The beneficial effects are that through software and hardware circuits, precision isimproved; and through a hardware filtering circuit, by improving an internal resistance calculation algorithm, and comprehensively considering effect weights of the parameters to the battery internalresistance, compensation of misalignment of the internal resistance is achieved.

Description

technical field [0001] The invention relates to a storage battery internal resistance detection system and method, in particular to a storage battery internal resistance detection system and method based on a weighted compensation factor. Background technique [0002] As a backup power source when the power system fails, batteries have been widely used in industrial production, transportation, communication and other industries. If the battery fails or the capacity is insufficient, it may cause a major accident, so it is necessary to carry out comprehensive online monitoring of the operating parameters of the battery. One of the important signs of the state of the battery is its internal resistance. Whether the battery is about to fail, the capacity is insufficient, or the charge and discharge are improper, it can be reflected in the change of its internal resistance. Therefore, the working state of the battery can be evaluated by measuring the internal resistance of the b...

AI Technical Summary

Problems solved by technology

The above detection methods do not consider the impact of the two important factors of battery temperature and discharge current on the detection of battery internal resistance, such as battery temperature and discharge current, so the above methods are impossible to suppress interference and noise

[0014] Therefore, in order to avoid the inaccuracy of the test results of the internal resistance of the battery caused by the above factors, it is necessary to compensate for the inaccuracy of the internal resistance measurement value affected by the above factors, so as to reduce economic losses and waste of resources caused by unnecessary battery replacement.

Although many hardware filter compensation methods have been adopted in the system, because the above factors are strong interference, it is difficult to completely shield them in reality, so it will cause a sudden increase in the measured value of internal resistance, which will cause false alarms of the equipment value

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