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Fuel cell life prediction method

A fuel cell and life prediction technology, which can be applied to artificial life, instruments, design optimization/simulation, etc., and can solve problems such as low prediction accuracy

Active Publication Date: 2020-06-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, a fuel cell life prediction method provided by the present invention solves the problem of low prediction accuracy of the current fuel cell life prediction method

Method used

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Embodiment Construction

[0082] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0083] Such as figure 1 As shown, the fuel cell life prediction method includes the following steps:

[0084] S1. Obtain voltage data of the sample fuel cell;

[0085] S2. Using an adaptive variational mode decomposition method to decompose the voltage data of the sample fuel cell into several subsequences;

[0086] S3. Reconstruct the sample fuel cell voltage change feature vector, and reconstruct several subsequences in...

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Abstract

The invention discloses a fuel cell life prediction method, which comprises the following steps of: firstly, analyzing original fuel cell voltage data by adopting an adaptive variational mode decomposition technology by taking fuel cell output voltage as a performance attenuation index, so as to improve the adaptive capacity to different voltage change characteristics; based on the voltage decay characteristics of the fuel cell and the sample entropy theory, reconstructing a VMD algorithm decomposition subsequence to better reflect the aging characteristic information of the cell; and a deep belief network prediction model is established, high-quality aging characteristic information of the fuel cell is extracted by using a deep structure, and the accuracy of a life prediction result is effectively improved. The method is high in prediction precision and suitable for fuel cell life prediction.

Description

technical field [0001] The invention relates to the field of battery life prediction, in particular to a fuel cell life prediction method. Background technique [0002] Proton exchange membrane fuel cell (PEMFC) has the advantages of low operating temperature, high power density, high energy conversion efficiency, and no pollution, and has been widely used in fixed base stations, transportation vehicles, portable equipment, and combined heat and power systems. Although PEMFC is considered to be the most promising energy device, its commercialization is still in its infancy, and its short life and high cost are two important factors restricting its large-scale industrial application. Fuel cell life prediction is considered to be an effective means to help prolong the life of PEMFC and reduce costs. It can provide estimates of future fuel cell failure modes and failure time to help users understand the health of fuel cells and formulate effective operations. dimension decisio...

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Application Information

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IPC IPC(8): G06F30/27G06N3/00G06F119/04
CPCG06N3/006Y02E60/50
Inventor 邹见效谢雨岑彭超朱云徐红兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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