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Fuel cell health prediction method and system

A fuel cell and health prediction technology, which is applied in the direction of fuel cells, fuel cell additives, fuel cell control, etc., can solve the problems of large demand for training data, insufficient data volume, and high cost of fuel cells, and achieve high prediction accuracy, The effect of small amount of data

Inactive Publication Date: 2021-12-03
安徽理安极科技有限公司
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Problems solved by technology

[0004] With the development of artificial intelligence, data-driven methods have attracted more and more attention, but the demand for training data is large, and the cost of fuel cells is currently high, and the amount of data is insufficient.

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  • Fuel cell health prediction method and system
  • Fuel cell health prediction method and system
  • Fuel cell health prediction method and system

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Embodiment Construction

[0054] In order to further illustrate the features of the present invention, please refer to the following detailed description and accompanying drawings of the present invention. The accompanying drawings are for reference and description only, and are not intended to limit the protection scope of the present invention.

[0055] Such as figure 1 As shown, this embodiment discloses a fuel cell health prediction method, including the following steps S1 to S6:

[0056] S1. Obtain fuel cell aging data, where the fuel cell aging data includes source domain data and target domain data;

[0057] S2. Extract consistent health characteristic data from the source domain data and the target domain data, which are the source domain health characteristic data and the target domain health characteristic data respectively, and the health characteristic data are used to represent the life decay characteristics of the fuel cell;

[0058] S3. Using the source domain health characteristic dat...

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Abstract

The invention discloses a fuel cell health prediction method and system, and belongs to the technical field of fuel cells. The method comprises the steps: obtaining the aging data of a fuel cell, including source domain data and target domain data; extracting consistent health feature data from the source domain data and the target domain data, namely source domain health feature data and target domain health feature data; pre-training a basic model by using the source domain health feature data, and determining parameters of the basic model; migrating parameters of the basic model to a fuel cell degradation model, and training the fuel cell degradation model by using the target domain health feature data to obtain a migration model; performing health prediction on the target domain fuel cell by using the migration model and the target domain data; and smoothing the health prediction result of the fuel cell by adopting a particle filtering algorithm to realize probabilistic prediction of the residual life of the fuel cell. The source domain knowledge is applied to the target domain, and the health state of the fuel cell can be accurately predicted only by using a small amount of data of the target domain.

Description

technical field [0001] The invention relates to the technical field of fuel cells, in particular to a fuel cell health prediction method and system. Background technique [0002] Energy and ecology are two major themes in today's society. In order to achieve "carbon neutrality", energy transformation has become a major strategic direction. Fuel cells convert chemical energy directly into electrical energy by means of electrochemical reactions, and have the characteristics of high conversion efficiency and environmental protection. At present, domestic fuel cells have not yet been commercialized on a large scale, and are still in their infancy, and their durability has become a bottleneck restricting the large-scale application of fuel cells. Therefore, it is necessary to carry out research on effective health assessment and control of fuel cells to achieve safe and efficient operation of fuel cells. Health prediction of fuel cells is an important part of their health assess...

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08H01M8/04298H01M8/04992G06F119/04
CPCG06F30/27G06N3/04G06N3/08H01M8/04305H01M8/04992G06F2119/04Y02E60/50
Inventor 陈睿杨徐瑞龙孙震东
Owner 安徽理安极科技有限公司
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