Charging pile system for realizing power battery fault diagnosis based on cloud platform

Abstract

The invention provides a charging pile system for realizing power battery fault diagnosis based on a cloud platform. The system comprises a charging pile, a cloud platform and a user APP, the chargingpile comprises a main control board, a 3 / 4 / 5G module, a WiFi module, a charging gun and a voltage measuring instrument, and the cloud platform comprises a user data receiving module, a signal noise reduction module, a characteristic parameter extraction module, a curve similarity degree calculation module and a fault diagnosis module; the charging pile acquires battery data of the power battery in the charging process in real time; the obtained data is transmitted o the signal noise reduction module through the 3 / 4 / 5G module or the WiFi module to obtain denoised battery data; and the noise-reduced battery data is input into the characteristic parameter extraction module to obtain a characteristic parameter curve, the obtained characteristic parameter curve is input into the curve similarity degree calculation module to obtain a charging cycle characteristic parameter curve similarity degree, and i the charging cycle characteristic parameter curve similarity degree is input into the fault diagnosis module in the cloud platform to judge whether a fault occurs or not.

Description

technical field [0001] The invention relates to the technical field of charging piles and the field of battery fault diagnosis. Specifically, the invention relates to a charging pile system for power battery fault diagnosis based on a cloud platform. Background technique [0002] In recent years, secondary lithium-ion batteries have been widely used in 3C products, electric vehicles, and energy storage due to their high energy density, long service life, low self-discharge rate, and no memory effect. Especially with the increasingly prominent environmental protection issues, the use of lithium-ion batteries in the field of electric vehicles shows an almost linear growth trend. However, due to the instability of the lithium-ion battery itself, the frequent safety accidents during its operation have attracted more and more attention. Therefore, it is imminent to invent a method and system that can detect battery faults during the charging process of the power battery and pre...

AI Technical Summary

Problems solved by technology

[0003] Existing battery fault diagnosis methods mainly include fault diagnosis methods based on battery models and battery-free models. The two have problems such as: the model has high computational complexity and is difficult to use for real-time online monitoring; it relies heavily on sample quality and has poor extrapolation capabilities.

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