Fuel cell vehicle energy management method based on nonlinear prediction model control

Abstract

The invention relates to a fuel cell vehicle energy management method based on nonlinear prediction model control, which comprises the following steps of 1) acquiring the working condition information of vehicle driving in real time, and judging the working condition state of vehicle driving in the current time, 2) inputting the state parameters of the current working condition in the step 1) into the established prediction model, and determining the running state of the vehicle in a future prediction time domain, 3) according to the running state of the vehicle in the future prediction time domain in the step 2), optimizing a control sequence in a limited time domain of the vehicle by utilizing a dynamic programming algorithm according to the requirements of economy and durability of a power supply system, and 4) applying the first element of the optimal control sequence of the finite time domain obtained in the step 3) to the vehicle, and repeating from the step 1) at the next moment. Compared with the prior art, the method has the advantages of reliable performance, comprehensive better economy and durability of the power supply system, strong practicability and the like.

Description

technical field [0001] The invention relates to the technical field of fuel cell vehicle energy management, in particular to a fuel cell vehicle energy management method based on nonlinear predictive model control. Background technique [0002] At present, for pure electric vehicles, although batteries have fast response and low cost, due to their shortcomings such as low energy density, large volume, and long charging time, the market promotion of pure electric vehicles is restricted. Fuel cells use hydrogen and oxygen to generate electricity under the action of catalysts. As long as the fuel supply is sufficient, fuel cells can continuously generate electricity. It has the advantages of high energy conversion efficiency, high energy density, no charging, and zero emissions, but it is expensive. , poor cold start performance, and slow dynamic response also limit the commercial development of pure fuel cell vehicles. A hybrid power system composed of a fuel cell and a stora...

AI Technical Summary

Problems solved by technology

[0014] To sum up, most of the energy management strategy optimization focuses on the vehicle economy. However, during the operation of the vehicle, the power system will also have a certain loss. During the operation of the fuel cell, the operating conditions have a great impact on the battery life. Large, load changes, start-stop changes, idling time, etc. will accelerate the attenuation of the fuel cell; frequent charge and discharge changes, overcharge or overdischarge during the working process of the battery will also reduce the life of the battery

If the economical optimization is guaranteed and the impact of the working mode on the life of the power supply system is ignored, the singleness of this optimization will reduce the service life of the vehicle

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