Fuel cell performance prediction method and device, electronic equipment and storage medium
By constructing fuel cell geometric model, simulation and machine learning model training methods, the problem of inaccurate fuel cell performance prediction is solved, and consideration of internal data of fuel cell and more accurate performance prediction is achieved.
CN119720787APending Publication Date: 2025-03-28WUHAN UNIV OF TECH
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Patent Information
- Application Number
- CN202411862927.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-17
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
The prior art cannot accurately predict the performance of fuel cells, especially their internal complex heat mass distribution characteristics.
Method used
By constructing a geometric model of a fuel cell, perform simulations to obtain simulation result data under running parameters, and train machine learning models based on these data to form a battery performance prediction model.
Benefits of technology
This method can more accurately predict the performance of fuel cells, taking into account its internal data, and improve the accuracy of prediction.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to a fuel cell performance prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of fuel cells, and the fuel cell performance prediction method comprises the following steps: constructing a geometric model of a fuel cell, simulating operation parameters of the fuel cell within a preset parameter range based on the geometric model, and calculating the performance of the fuel cell. Simulation result data are obtained; training a preset machine learning model based on the simulation result data to obtain a trained battery performance prediction model; and taking the operation parameters of the to-be-predicted fuel cell as the input of the cell performance prediction model to obtain the performance of the to-be-predicted fuel cell output by the cell performance prediction model. According to the method, the fuel cell is subjected to three-dimensional modeling and then simulation, so that the internal data of the fuel cell in the operation process can be obtained, the internal data of the fuel cell can be considered when the trained cell performance prediction model is used for predicting the performance of the fuel cell, and the prediction of the performance of the fuel cell is more accurate.
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