Storage battery health condition assessment method and device

Abstract

The invention relates to a storage battery health condition assessment method and device. The method comprises the steps: obtaining the nuclear capacity discharge data of a storage battery pack, wherein the nuclear capacity discharge data is data during the periodic nuclear capacity charge-discharge operation of the storage battery pack; and the nuclear capacity discharge data comprises a discharge voltage; under the condition that the discharge voltage meets the modeling condition, adopting a gray model, and acquiring a discharge voltage predicted value; obtaining prediction precision grade data of the storage battery pack according to the discharge voltage prediction value; and obtaining hidden danger coefficient data of the storage battery pack, and outputting a degraded storage battery screening result according to the prediction precision grade data and the hidden danger coefficient data. According to the invention, evaluation of the health condition of the lead-acid storage battery pack is realized, and the purpose of early warning of faults is achieved.

Description

technical field [0001] The present application relates to the technical field of substation DC power supply system management, in particular to a method and device for assessing battery health status. Background technique [0002] The station DC power supply system is a very important part of the substation (converter station). Its main task is to provide working power for relay protection devices, circuit breaker operations, and various signal circuits. The battery pack is an important piece of equipment in the substation DC power system. The normal operation of the battery pack is related to the correct operation of the relay protection and the circuit breaker, and even affects the safe operation of the substation and the entire power grid. At present, the number of battery packs in operation in hub substations and converter stations within the scope of China Southern Power Grid is very large. According to historical operation and maintenance experience, the probability of...

AI Technical Summary

Problems solved by technology

At present, the number of battery packs in operation in hub substations and converter stations within the scope of China Southern Power Grid is very large. According to historical operation and maintenance experience, the probability of insufficient capacity of battery packs with a running time of more than 5 years is very high. A single-cell battery with a capacity of less than 80% indicates that the entire set of batteries does not meet the 80% capacity requirement, and the entire set of batteries must be replaced immediately, otherwise it will bring serious safety hazards to the operation of substation equipment, and even cause damage to the station DC power supply. loss of power, leading to serious grid accidents

[0003] Therefore, it is particularly important to carry out health management and fault prediction on batteries, while the existing operation and maintenance methods consume a lot of manpower and material resources, and lack in-depth analysis of nuclear capacity charge and discharge data

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