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Fuel cell loading rate identification method based on data dimensionality reduction algorithm

A fuel cell and data dimensionality reduction technology, applied in fuel cells, character and pattern recognition, computing, etc., can solve problems such as lifespan, durability, and adverse effects of dynamic response, so as to improve energy utilization and reduce system loss , Guaranteed real-time effect

Active Publication Date: 2021-09-07
CHONGQING UNIV
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Problems solved by technology

When the fuel cell output power changes rapidly, it will have a bad impact on its life, durability and dynamic response

Method used

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  • Fuel cell loading rate identification method based on data dimensionality reduction algorithm
  • Fuel cell loading rate identification method based on data dimensionality reduction algorithm

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Embodiment Construction

[0026] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0027] Such as figure 1 As shown, whenever the required power of the vehicle changes, the output power of the fuel cell also changes. Using the monomer voltage DAQ system, multiple monomer voltage data are measured. Since the data is multidimensional, it is complex and time-consuming to analyze. A linear dimensionality reduction method (PCA dimensionality reduction method) is used to demonstrate the process of this loading rate identification method. The specific method is as follows:

[0028] (1) The output power of the fuel cell changes;

[0029] (2) Use the monomer voltage DAQ system to measure multiple monomer voltage data;

[0030] (3) Using the PCA dimensionality reduction method to reduce the dimensionality of high-dimensional data;

[0031] (4) The one-dimensional feature vector is used to identify the fuel cell output power c...

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Abstract

The invention relates to a fuel cell loading rate identification method based on a data dimensionality reduction algorithm, which belongs to the field of fuel cells. The method specifically includes the following steps: S1: collecting real-time voltage data of multiple single cells in the fuel cell; S2: using the PCA dimensionality reduction method to reduce the collected high-dimensional data to one dimension; S3: using the eigenvalue of the one-dimensional eigenvector Identify the rate of change of the output power of the fuel cell. The invention is used to increase the identification speed of the fuel cell loading rate, and uses the reduced-dimensional low-dimensional feature vector in the system control as a control variable to improve the sensitivity of the system to load changes and the control response rate, thereby reducing the fast power of the fuel cell. adverse effects of changes on the fuel cell itself.

Description

technical field [0001] The invention belongs to the field of fuel cells and relates to a fuel cell loading rate identification method. Background technique [0002] During the driving process of the car, the power required by the vehicle changes rapidly. When the fuel cell output power changes rapidly, it will have a bad influence on its life, durability and dynamic response. By identifying the rate of change of the fuel cell system in a timely manner, it is beneficial to better control the operation of components in the fuel cell system, such as an air compressor or a mass flow controller. However, this requires the system to quickly identify the change rate of the fuel cell output power. Using the traditional time domain method needs to collect the change of the fuel cell output power over a period of time to calculate the loading slope, so there will be a certain delay and the real-time performance is not good. The fuel cell loading rate identification method based on t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H01M8/04992H01M8/04537G06K9/62
CPCH01M8/04552H01M8/04992G06F18/2135Y02E60/50
Inventor 张财志曾韬刘浩马荣鸿樊芮嘉李栋军
Owner CHONGQING UNIV
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