Hydrogen conversion ratio control method for vehicle fuel cells based on deep learning-predictive control

Abstract

The present invention relates to a method for controlling the hydrogen passing ratio of a vehicle fuel cell based on deep learning-predictive control, comprising the following steps: Step S1: building an electrochemical output characteristic model of a vehicle fuel cell and an anode hydrogen supply system model; Step S2: designing The vehicle fuel cell hydrogen passing ratio controller based on deep learning-predictive control; step S3: predict the vehicle speed sequence of N moments in the future, and calculate the fuel cell stack current; step S4: combine the fuel cell stack current and flow control valve and the hydrogen circulation pump to output hydrogen flow, anode pressure and model linear constant value interference items in real time as the input of the model predictive control module of the hydrogen passing ratio; and set the target hydrogen passing ratio as lambda ref , using the model predictive control module of the hydrogen passing ratio to control the output flow control valve and the control voltage of the hydrogen circulation pump to realize the control of the hydrogen passing ratio of the fuel cell. The invention ensures the working performance of the flow control valve and the circulation pump, reduces the power consumption of the system, and avoids the damage of the exchange membrane at the same time.

Description

technical field [0001] The invention relates to the field of fuel cells, in particular to a method for controlling the hydrogen excess ratio of vehicle fuel cells based on deep learning-predictive control. Background technique [0002] There are two major drawbacks in traditional energy utilization. One is that it is limited by the Carnot cycle, because the chemical energy of fuel must be converted into thermal energy before it can be further converted into mechanical energy or electrical energy. Another disadvantage is that the use of traditional energy leads to environmental problems. The increasingly serious problems of pollution and energy shortage have affected the sustainable development of the world economy. Therefore, the development and utilization of renewable energy has become an inevitable trend. Fuel cells, especially the commonly used proton exchange membrane fuel cells in vehicles, have become the focus of this research field due to their advantages of zero p...

AI Technical Summary

Problems solved by technology

If the amount of hydrogen is too small, it will lead to insufficient hydrogen supply, which will cause irreversible damage to the fuel cell, and also reduce the service life of the fuel cell; if the amount of hydrogen is too large, it will cause waste of hydrogen and make the anode of the stack The input hydrogen utilization rate is reduced, so its precise control is very important

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