Quantitative judgment method for battery health state

Abstract

The invention discloses a quantitative judgment method for the health state of a battery. The method adopts a battery health state judgment model, a storage battery online monitoring system and a score quantitative evaluation system, and specifically comprises: constructing the battery health state judgment model; acquiring the internal resistance, the voltage, the temperature and the SOH value ofa battery; dividing the health states of the battery into a health state, a sub-health state and an unhealth state; and uploading to an on-line monitoring system of the battery, setting threshold levels for different battery data, performing battery data weight distribution, score quantitative evaluation and battery health state judgment by the score quantitative evaluation system according to the set threshold levels, and displaying the battery health state. According to the invention, the health state of the battery is judged through multi-dimensional monitoring of the state of the battery,the accuracy of a judgment result is improved, technicians can master the state information of the battery conveniently, and a good judgment method is provided for users.

Description

technical field [0001] The invention relates to the field of battery monitoring and management, in particular to a method for quantitatively judging battery health status. Background technique [0002] With the gradual development of the social power system, the use of batteries is becoming more and more extensive. Under the background of the increasing use range and the national environment of pursuing safe production while reducing production costs, production safety departments at all levels and Various companies have considered production work from the perspective of ensuring operation quality, production safety and property safety, such as establishing various types of data centers, choosing battery power for base stations, and developing pure electric vehicles. At this stage, many kinds of batteries have been developed in our country and are used in different life practices. However, during the use of batteries, deterioration will inevitably occur, such as pole corrosi...

AI Technical Summary

Problems solved by technology

At this stage, many kinds of batteries have been developed in our country and are used in different life practices. However, during the use of batteries, deterioration will inevitably occur, such as pole corrosion, battery bulging, and high temperature, which will cause the battery to show a An abnormal state where the battery's state of health changes

[0003] The deterioration of the battery is a long-term gradual process. The health of the battery is affected by various factors such as temperature, voltage, and internal resistance. At present, there have been some achievements in the research and modeling analysis of the battery health. Related research includes battery degradation. Mechanism and aging factor analysis, battery health management, battery status monitoring and estimation, battery life prediction, etc., but these usually use the SOH value to predict the battery life, only when the SOH value of the battery is detected to drop to a certain value, it is considered The battery has deteriorated and needs to be replaced. The simple SOH to judge the health status of the battery can only reflect the end of the battery life, and cannot judge the state before the end of the battery life. It does not consider that the battery may have deteriorated before the SOH value drops to this value. It is easy to cause safety hazards, such as bursts caused by bulges, fires caused by overheating, etc. Therefore, it is necessary to monitor the SOH value to maintain or replace the battery in time, and there is no unified method on how to determine whether a battery is healthy , therefore, the present invention combines the temperature, internal resistance, voltage and SOH value of the battery to provide a quantitative method for judging the state of health of the battery

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