Hydrogen production characteristic prediction method for electrolytic water hydrogen production system based on data support

By optimizing the BiLSTM-GAM model through data preprocessing and the CPO algorithm, the problem of inaccurate prediction of hydrogen production characteristics in water electrolysis hydrogen production systems was solved, achieving high-precision prediction of hydrogen production characteristics and adapting to the dynamic electrochemical losses of electrolyzers under different operating conditions.

CN118098439BActive Publication Date: 2026-07-24CHONGQING UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIV
Filing Date
2024-02-29
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing electrochemical models cannot accurately characterize the hydrogen production characteristics of electrolytic hydrogen production systems, nor can they adapt to the dynamic electrochemical losses of electrolyzers under different working conditions and operating states, resulting in inaccurate predictions of hydrogen production characteristics.

Method used

A data-supported approach was adopted, using the Pauta criterion and Z-Score method for data preprocessing, and combining the CPO algorithm to optimize the BiLSTM-GAM model. A CPO-BiLSTM-GAM model was then established to predict hydrogen production characteristics, and the BiLSTM-GAM model was used to extract the characteristic values ​​of the water electrolysis hydrogen production system.

Benefits of technology

It achieves high-precision prediction of hydrogen production characteristics under different operating conditions of water electrolysis hydrogen production system, solves the problem that existing models cannot adapt to fluctuating operating conditions, and improves the accuracy and efficiency of prediction.

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Abstract

The present application relates to a kind of based on data support's electrolytic water hydrogen production characteristic prediction method of hydrogen production system, belong to alkaline electrolytic water hydrogen production technical field.The method includes the following steps: collecting the physical parameters of water electrolysis reaction in electrolytic cell;The abnormal value of the physical parameter data collected is preprocessed using Pauta criterion;The data after preprocessing is standardized using Z-Score method;CPO algorithm is used to optimize BiLSTM-GAM model hyperparameter, establish CPO-BiLSTM-GAM model, and learn data characteristics by CPO-BiLSTM-GAM model, and the hydrogen production characteristic of hydrogen production system is predicted.For the problem of related parameter dynamic fluctuation in the process of electrolytic water hydrogen production, a hydrogen production characteristic prediction model for different working conditions of electrolytic water hydrogen production system is proposed, to solve the problem that current electrolytic water hydrogen production system hydrogen production characteristic prediction method is single and cannot adapt to fluctuating conditions.
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