Battery pack and its data processing method, computer equipment, medium and vehicle

Abstract

The invention discloses a battery pack and its data processing method, computer equipment, medium and vehicle. The method includes: preprocessing the initial OCV-SOC curves of each single-cell battery to generate a first OCV-SOC curve, and converting the first OCV-SOC curve into a first OCV according to the balance difference of each single-cell battery -SOC curve cluster; intercept the public SOC segment in the first OCV-SOC curve cluster and normalize it; determine the battery pack OCV-SOC curve according to the preset OCV weight model and the normalized public SOC segment; Determine the state parameters of the battery pack according to the OCV-SOC curve of the battery pack. The present invention finally obtains the state parameters of the battery pack according to the OCV-SOC curve of the battery pack with high accuracy and small amount of calculation, which reduces the load on the server and improves the calculation efficiency and the accuracy of the state parameters of the battery pack.

Description

technical field [0001] The invention relates to the technical field of battery packs, in particular to a battery pack and its data processing method, computer equipment, media and vehicles. Background technique [0002] At present, the state parameters used to characterize the state of the battery pack (including parameters used to characterize the battery pack, such as the SOC (State of Charge, battery state of charge) value, the state of health SOH (State of Health, battery State of health) value, power state value, etc., or other parameters that can characterize battery performance, such as equivalent internal resistance, etc.) to monitor the battery pack, thereby improving user experience. Therefore, it is very important to know the state parameters of the battery pack. In the prior art, it is first necessary to measure the voltage and current of each single battery in the battery pack separately, then estimate the state parameters of each single battery according to the...

AI Technical Summary

Problems solved by technology

The disadvantages of this scheme are as follows: firstly, since the voltage and current data of each single battery are obtained by independent sampling, the calculation logic is simple. It will change with the SOH value and the balance difference. In this way, when the SOH value and the balance difference actually have an impact on the OCV-SOC curve, it will not be reflected in the calculation process of the state parameters. Therefore, the final OCV-SOC The curve and the state parameters calculated according to the OCV-SOC curve are not accurate; secondly, because the state parameters of each single battery need to be estimated first, and finally the state parameters of the battery pack are calculated, the calculation amount is large, and the server load, and it takes a long time, and the efficiency is low; again, because the voltage of each single battery is sampled independently, but the total voltage of the battery pack is not currently checked, and the state parameters finally calculated in the above-mentioned prior art are redundantly calculated based on it. Therefore, the accuracy of the calculated state parameters cannot be guaranteed

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