Fuel cell and air compressor matching modeling method based on stochastic optimization algorithm
A stochastic optimization, fuel cell technology, applied in fuel cells, circuits, electrical components, etc., to achieve high efficiency
Active Publication Date: 2022-05-24
TIANJIN UNIV
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The main object of these studies is the transient control of (fuel cell) electric stacks in short-term operating conditions, but there is no research on the electric stacks and systems in the whole life cycle from the perspective of air supply system design and matching
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[0024] The method and modeling calculation process of the present invention will be further described below through specific embodiments. It should be noted that this embodiment is descriptive rather than restrictive, and does not limit the protection scope of the present invention.
[0025] The fuel cell stack simulation model and the air compressor simulation model in this embodiment are non-limiting. By optimizing the parameters to be determined in the simulation model, under the condition of the full output power of the PEMFC system, the fuel cell and air compressor status to match.
[0026] The specific process for realizing adaptive matching of two simulation models in this embodiment is as follows:
[0027] The set α of the parameters to be determined in the air compressor simulation model and the parameter β to be determined in the fuel cell stack simulation model can be expressed as:
[0028] α=(N,p cp ,m cp ) (5)
[0029] β=(I) (6)
[0030] Among them, N is the ...
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The invention discloses a fuel cell air compressor adaptive matching modeling method based on a stochastic optimization algorithm. A set of to-be-determined parameters in an air compressor simulation model is represented by alpha, and a set of to-be-determined parameters in a fuel cell stack simulation model is represented by beta. And constructing a fitness function in a stochastic optimization algorithm according to system efficiency by taking to-be-determined parameters as input and taking predicted air compressor power, fuel cell voltage, reversible voltage and electric pile power as output. And optimal solutions of alpha and beta are searched, so that the constructed fitness function F is maximum, and self-adaptive matching of the fuel cell and the air compressor in any system output power interval is completed. Good matching of the air supply system to the fuel cell is an object and a final object of the invention. In the research process of a traditional matching strategy, a large number of experiments or simulation operations need to be carried out to try to complete the matching process, and a large amount of manpower and experiment expenditure need to be consumed. The method is high in matching efficiency, and the whole optimization process can be automatically realized by utilizing a written program.
Description
technical field [0001] The invention belongs to the field of fuel cells, and in particular relates to a modeling method for adaptively matching a fuel cell system and an air compressor in an air supply subsystem. Background technique [0002] Polymer electrolyte membrane fuel cells (PEMFCs), which generate electricity through the electrochemical reaction of hydrogen and oxygen, are considered to be one of the most potential automotive energy conversion devices due to their advantages of zero pollution, low energy consumption, and long range. The integrated vehicle fuel cell system includes an air supply subsystem, a hydrogen supply subsystem, a temperature and humidifier subsystem, and a fuel cell stack. As the most important component in the air supply subsystem, the air compressor (referred to as the air compressor) has an important influence on the performance of the fuel cell system. The air compressor is a relatively slow-response mechanical device, and there will be a...
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IPC IPC(8): H01M8/04992H01M8/04089
CPCH01M8/04089H01M8/04992Y02E60/50
Inventor 焦魁宫智超王博文
Owner TIANJIN UNIV