Fuzzy based sequential sampling energy control method for hydrogen fuel cells
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TP273

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    Abstract:

    The energy management system of hydrogen fuel cell vehicles plays an important role in the performance of fuel cell lifespan, durability, and economy. On the basis of improving the classic fuzzy control strategy, the problem of frequent load changes in the output power of fuel cells in the control strategy is solved. The optimization design is carried out using temporal rules, and a control strategy based on temporal period sampling is proposed based on the operating characteristics, efficiency points, and road conditions of fuel cells. By controlling the output power of vehicles equipped with fuel cells and power batteries, complete the optimization of energy management strategies. An analysis was conducted on the hydrogen consumption, fuel cell output power status, and power cell charge state changes of a fuel cell bus in actual operation under constant speed conditions and typical urban bus cycle conditions in China, using different control strategies. It was found that the designed control strategy can effectively reduce the number of fuel cell load changes, improve the service life of the fuel cell, and compare the hydrogen consumption with the power following strategy, the switch control strategy has obvious advantages. Under the initial state of charge of the power battery of 60%, the hydrogen consumption of the latter two strategies increased by 3. 98% and 27. 88%, respectively.

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  • Online: December 21,2023
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