Method for controlling hydrogen passing ratio of vehicle fuel cell based on deep learning-prediction control

Abstract

The invention relates to a method for controlling the hydrogen passing ratio of a vehicle fuel cell based on deep learning-prediction control, and the method comprises the following steps: S1, constructing a vehicle fuel cell electrochemical output characteristic model and an anode hydrogen supply system model; S2, designing a hydrogen passing ratio controller for the vehicle fuel cell based on deep learning-prediction control; S3, predicting a vehicle speed sequence at N moments in the future, and calculating the current of a fuel cell stack; S4, taking the current of the fuel cell stack, thereal-time output hydrogen flow and anode pressure of a flow control valve and a hydrogen circulating pump and model linear constant interference terms as the input of a model prediction control module of the hydrogen passing ratio; and setting the target hydrogen passing ratio as lambda ref, and controlling the output flow control valve and the control voltage of the hydrogen circulating pump byusing the hydrogen passing ratio model prediction control module to realize the control of the hydrogen passing ratio of the fuel cell. Working performance of the flow control valve and the circulating pump is guaranteed, power consumption of the system is reduced, and meanwhile, the damage to an exchange membrane is avoided.

Description

technical field [0001] The invention relates to the field of fuel cells, in particular to a method for controlling the hydrogen passing ratio of a vehicle fuel cell based on deep learning-predictive control. Background technique [0002] There are two major disadvantages in the traditional energy utilization method, one is limited by the Carnot cycle, because the chemical energy of the fuel must be converted into heat energy before it can be further converted into mechanical energy or electrical energy; the other disadvantage is that the use of traditional energy has caused environmental pollution. 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 proton exchange membrane fuel cells commonly used in vehicles, have become the focus of this research field due to their advantages o...

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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