燃料电池汽车分层能量管理策略优化研究
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昆明理工大学 信息工程与自动化学院 昆明 650504

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TP273

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国家自然科学基金(51667012)项目资助


Research on optimization of hierarchical energy management strategy for fuel cell vehicles
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Faculty of Information Engineering and Automation,Kunming University of Science and Technology, Kunming 650504, China

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    摘要:

    为在改善车用燃料电池系统氢耗和耐久性的同时抑制直流母线电压波动,提出一种自适应滑动平均滤波、等效成本最小和超级电容能量状态非线性控制相结合的燃料电池汽车分层能量管理策略。首先,构建燃料电池汽车动力系统模型、氢耗成本和退化成本的数学模型;然后采用自适应滑动平均滤波和等效成本最小策略优化燃料电池输出功率,并通过非线性控制策略将超级电容能量状态控制于合理区间,以提高超级电容动态功率输出能力,抑制母线电压波动。仿真实验结果表明,相比于功率跟随策略,氢耗下降了12.94%, 燃料电池耐久性提高了12.6%,燃料电池使用总成本降低了12.63%,直流母线电压波动明显减弱,表明所提出的能量管理策略能够改善燃料电池氢气消耗和耐久性,并能提高母线电压的稳定性。

    Abstract:

    In order to optimize the performance of the fuel cell system for vehicles and decrease the fluctuation of the DC bus voltage, proposes a hierarchical energy management strategy based on adaptive moving average filter, equivalent cost minimum and nonlinear control of the energy state of super capacitors. Firstly,construct the fuel cell vehicle power system model and the mathematical model of hydrogen consumption and degradation cost; Then, the adaptive moving average filter and the equivalent cost minimum strategy are used to optimize the output power of fuel cell ; And the super capacitor energy state is controlled by a nonlinear control strategy within a reasonable range, to improve the dynamic power output capability of the super capacitor and suppress the fluctuation of the DC bus voltage. The simulation experiment results show that compared with the power following strategy, the hydrogen consumption is reduced by 12.94%, the durability of the fuel cell is improved by 12.6%, the total cost is reduced by 12.63%, and the DC bus voltage fluctuation is significantly decreased, which indicates that the proposed energy can optimize the hydrogen consumption and durability of the fuel cell, and can improve the stability of the bus voltage.

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阮永利,詹跃东.燃料电池汽车分层能量管理策略优化研究[J].电子测量技术,2021,44(19):1-7

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  • 在线发布日期: 2024-08-05
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