Fuel cell composite power supply system and control method

Abstract

The invention discloses a fuel cell composite power supply system and a control method, which belong to the field of fuel cells and can realize the lowest hydrogen consumption of the whole system andimprove the efficiency and the service life of the whole system. The system comprises a fuel cell module, a super capacitor module, a battery module, a data collecting module and a composite power supply controller, wherein the fuel cell module is used for providing a main power source for a vehicle; the super capacitor module is used for providing transient peak power for the vehicle; the batterymodule is used for supplementing remaining vehicle requirement power; the data collecting module is connected with the fuel cell module, the battery module, the super capacitor module and a load module respectively; and the composite power supply controller realizes optimal distribution of current to the fuel cell module, the battery module, and the super capacitor module according to the collected state information of the battery module, the super capacitor module, the fuel cell module and the load module and based on the minimum hydrogen consumption strategy considering a penalty coefficient.

Description

technical field [0001] The invention belongs to the field of fuel cells, and in particular relates to a fuel cell composite power supply system and a control method. Background technique [0002] In recent years, fuel cells have been widely used in the vehicle field due to their advantages of high efficiency and no pollution. Considering the shortcoming of the fuel cell's slow dynamic response, the fuel cell and other energy storage sources such as batteries and supercapacitors are used as composite power sources. Supercapacitors have the advantages of high power density, and batteries have the advantages of high energy density. Therefore, it is especially important to design an economical, long-life, and reliable fuel cell composite power system to fully utilize the respective advantages of these power sources. [0003] At present, the energy management strategies of fuel cell composite power systems are divided into two types: rule-based and optimization-based, but most o...

AI Technical Summary

Problems solved by technology

The energy management strategies for the three energy sources (fuel cells, batteries, and supercapacitors) also mostly use rule-based energy management strategies. Optimization-based energy management strategies are divided into global optimization and local optimization. Global optimization algorithms such as dynamic programming and genetic Although the algorithm can achieve the global optimal solution, it needs to know the working condition information in advance and cannot be optimized in real time, so it is of little significance in practical applications

Local optimization, such as the equivalent minimum fuel consumption strategy, can calculate the optimal solution of the optimization objective function in real time, so as to achieve optimal energy allocation for the multi-energy system. For energy management, the equivalent hydrogen consumption of supercapacitors is mostly ignored, so that the hydrogen consumption of the entire system is not the lowest, and the economy is not good

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