Energy Management Method for Hybrid Power System of Fuel Cell Vehicle Based on Model Prediction Framework

WANG Jinhuan,SONG Zhanwei

Vehicle Engine ›› 2024, Vol. 0 ›› Issue (5) : 61.

Vehicle Engine ›› 2024, Vol. 0 ›› Issue (5) : 61. DOI: 10.3969/j.issn.1001-2222.2024.05.009

Energy Management Method for Hybrid Power System of Fuel Cell Vehicle Based on Model Prediction Framework

  • WANG Jinhuan1,SONG Zhanwei2
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Abstract

As a key component of fuel cell vehicles, the optimization of energy consumption and lifespan is crucial for the further commercial development of hybrid power system. Energy management strategy(EMS) plays an important role in improving the system performance and fuel economy of hybrid power system in fuel cell vehicles. To effectively reduce the internal loss of hybrid power system and further improve system economy, an optimized energy management control method for internal loss of hybrid power system was proposed based on a model prediction framework. An objective function that included the internal loss of power system and hydrogen consumption was first constructed. A model prediction architecture was then used to solve the objective function to control the output current of fuel cell so as to achieve reasonable energy distribution. Finally, the simulation was conducted in Matlab to verify the rationality and effectiveness of the proposed method. Compared with the widely-used equivalent hydrogen consumption minimization strategy(ECMS), the proposed method can significantly reduce the internal loss and hydrogen consumption of power system according to the results. In addition, this strategy can effectively maintain the state of charge(SOC) of battery and extend the service life of power system.

Key words

fuel cell vehicle / hybrid power system / energy management / model prediction control

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WANG Jinhuan,SONG Zhanwei. Energy Management Method for Hybrid Power System of Fuel Cell Vehicle Based on Model Prediction Framework[J]. Vehicle Engine. 2024, 0(5): 61 https://doi.org/10.3969/j.issn.1001-2222.2024.05.009

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