Energy storage signal acquisition device

Energy storage signal acquisition device

6 FAQs about [Energy storage signal acquisition device]

Can miniature electronic devices be incorporated in-situ at a cell-level during manufacture?

Here we demonstrate the development of novel miniature electronic devices for incorporation in-situ at a cell-level during manufacture. This approach enables local cell-to-cell and cell-to-BMS data communication of sensor data without the need for additional wiring infostructure within a battery module assembly.

How to obtain multi-sensor signals using KRRD?

In order to obtain multi-sensor signals, a signal acquisition device is used, and subsequent steps are carried out based on the displacement and current. Step 2. Using KRRD to obtain multidimensional sub-signals of multi-sensor signals:

Does integrated KRRD improve the accuracy of spring energy storage state recognition?

When compared to methods devoid of KRRD, the proposed approach exhibits a substantial improvement in recognition accuracy. These experiments underscore the superiority of the integrated KRRD with the TAE ResNet model in terms of enhancing the precision of the spring energy storage state recognition.

What is M matrices in spring energy storage?

The signals collected from different types of sensors throughout the entire cycle of the spring energy storage state are divided into M samples, each with a size of N * S, represented as M matrices. N is referred to as the length of the raw signals and S is denoted as the category of the raw signals.

What is the sampling frequency of a spring energy storage state?

Signals related to the spring’s energy storage state, both displacement and current, are collected at a constant sampling rate of 2000 Hz. A sampling frequency of 2000 Hz was chosen to align with the characteristics of the spring energy storage state in circuit breakers.

Does KRRD-Tae ResNet work in energy storage state monitoring?

Although the KRRD-TAE ResNet model proposed in this study demonstrates excellent performance in energy storage state monitoring of circuit breakers, achieving a recognition accuracy of 99.13 %, it has some limitations.

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