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Performance optimization of hybrid hydrogen fuel cell-electric vehicles in real driving cycles

机译:杂交氢气燃料电池 - 电动车辆在实际驾驶循环中的性能优化

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In this research study, a fuel cell-electric hybrid car is studied. This car includes an electric motor that is connected to a fuel cell and a complex which includes a battery pack and an Ultracapacitor. The assessment of this hybrid vehicle is conducted by using various driving cycles such as FTP-75 driving cycle, NEDC driving cycle and SFTP-SC03 driving cycle. Battery state of charge (SoC) and hydrogen fuel consumption are the effective parameters influencing the vehicle performance. For analysing the performance of this vehicle, an innovative computational model is considered. In this innovative computational model, an accurate control strategy is considered in order to control the power demand, staying the battery packs and the Ultracapacitor state of charge in a limited domain. Results show that in NEDC driving cycle, by means of using Ultracapacitor in this model, 3.3% reduction in fuel consumption and 20.2% decrease in the difference between initial and final State of Charge (SoC) in battery pack can be achieved. In addition, a robust regenerative braking control strategy is used in order to recover some parts of the wasted energy in braking driving modes. (c) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:在这项研究中,研究了燃料电池 - 电动混合动力汽车。该汽车包括电动机,该电动机连接到燃料电池和包括电池组和超容器的复合物。通过使用诸如FTP-75驾驶循环,NEDC驱动循环和SFTP-SC03驾驶循环的各种驱动循环来进行对该混合动力车辆的评估。电池充电状态(SoC)和氢气消耗是影响车辆性能的有效参数。为了分析该车辆的性能,考虑了一种创新的计算模型。在这种创新的计算模型中,考虑了一种准确的控制策略,以便控制电源需求,保持电池组和电池电量在有限域中的电荷状态。结果表明,在NEDC驾驶循环中,通过在该模型中使用超容器,可以实现3.3%的燃料消耗量和电池组中的初始充电状态(SoC)之间的差异减少20.2%。另外,使用鲁棒的再生制动控制策略以便在制动驱动模式下恢复浪费的能量的一些部分。 (c)2020氢能源出版物LLC。 elsevier有限公司出版。保留所有权利。

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