Method for detecting state of health of battery and device thereof and battery management system

Abstract

The embodiment of the invention provides a method for detecting the state of health of a battery and a device thereof and a battery management system. The method comprises the steps that whether the current state of charge SOC of the battery is in the intersection interaction of a linear interval of the SOC-open circuit voltage OCV relation of the battery and a linear interval of the DC internal resistance DCIR-SOC relation is judged, and whether the present current of the battery is in the current interval corresponding to the intersection interaction is judged. The situation that the SOC of the battery is in the intersection interaction and the current I is in the current interval is determined firstly so that the pre-aging capacity of the battery and the post-aging capacity of the battery can be acquired in the charge or discharge process of the battery and thus the SOH of the battery can be accurately estimated.

Description

technical field [0001] The present invention relates to the field of batteries, in particular to a method, a device and a battery management system for detecting the state of health of batteries in the field of batteries. Background technique [0002] As a device for storing electrical energy, batteries are increasingly used in many fields, among which, the applications of batteries include fixed energy storage (such as data centers, communication base stations) and mobile energy storage (such as portable terminals, electric vehicles) . In the application fields of the above-mentioned batteries, it is very important for users to predict the state of health of the battery (StateOf Health, referred to as "SOH"). This technology allows users to grasp the health of the battery in real time, predict risky failures, and take corresponding measures in advance. [0003] The key measurement parameter for diagnosing battery SOH is capacity retention, and users can know the battery's ...

AI Technical Summary

Problems solved by technology

The biggest difficulty of this type of method is how to establish the relationship between the internal resistance or partial discharge capacity and the capacity of the battery in the factory state, and accurately predict the battery SOH

[0005] Therefore, using battery internal resistance as a parameter to measure battery SOH cannot accurately represent battery capacity information; using battery retention capacity as a parameter to measure battery SOH is extremely risky in application scenarios such as communication base stations and data centers

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