Integrated online monitoring system and method for multiple parameters in energy storage battery based on FBG

Abstract

An integrated online monitoring system for multiple parameters in an energy storage battery based on an FBG belongs to the technical field of monitoring equipment for multiple parameter states in the energy storage battery, and mainly comprises temperature, strain, pressure, current, voltage, gas sensors and the like based on the FBG, an FBG demodulator, a computer, and a transmission optical fiber. As the various parameter sensors are designed based on the FBG, the sensors can be connected in series on the same optical fiber for transmission, and can be multiplexed in quantity to establish a multi-parameter integrated and distributed optical fiber sensing monitoring network from a single battery, a module, a cluster and even an energy storage system. The system has the advantages of simple structure, small occupied space, electromagnetic interference resistance, corrosion resistance, integration of various parameters, distributed simultaneous measurement and the like, and can monitor the states of the various parameters in the energy storage battery in real time so as to judge the charge quantity SOC, the health condition SOH, the residual life RUL and the like of the lithium battery.

Description

technical field [0001] The invention belongs to the technical field of monitoring equipment for multi-parameter states inside an energy storage battery, and in particular relates to an optical fiber sensing online monitoring system and method based on low reflectivity FBG array sensing technology. Background technique [0002] Energy storage batteries, especially lithium-ion batteries, as a clean energy battery, have been widely used in electric vehicles and large-scale energy storage power stations due to their advantages such as high energy density, high conversion efficiency, low self-discharge rate, and long service life. and other industries. In recent years, there have been many safety accidents of energy storage battery systems at home and abroad, causing serious economic losses and social impacts. Research on monitoring methods for various parameters such as temperature, strain, pressure, current, voltage, and gas composition and concentration inside the energy stor...

AI Technical Summary

Problems solved by technology

The two sensors used in this method are also electrical sensors, which still have the fatal shortcomings of electrical sensors, and it is difficult to monitor energy storage batteries in a distributed network.

[0008] At present, there are many literatures on the monitoring of some parameters in the internal temperature, strain, current and voltage of the energy storage battery, but most of them use the detection method of electrical sensors, and the detection of the internal pressure and gas concentration of the battery way less

Because electrical sensors are susceptible to electromagnetic interference, poor corrosion resistance, and difficult to form a network during multi-point measurement, it is difficult for this type of sensor to be applied in complex, narrow, airtight, corrosive and electromagnetic interference environments inside the energy storage battery.

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