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Variable structure battery-based fuel cell hybrid power system and its incremental fuzzy logic energy management strategy

机译:基于结构电池的燃料电池混合动力系统及其增量模糊逻辑能源管理策略

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A hybrid power system consists of a fuel cell and an energy storage device like a battery and/or a supercapacitor possessing high energy and power density that beneficially drives electric vehicle motor. The structures of the fuel cell-based power system are complicated and costly, and in energy management strategies (EMSs), the fuel cell's characteristics are usually neglected. In this study, a variable structure battery (VSB) scheme is proposed to enhance the hybrid power system, and an incremental fuzzy logic method is developed by considering the efficiency and power change rate of fuel cell to balance the power system load. The principle of VSB is firstly introduced and validated by discharge and charge experiments. Subsequently, parameters matching of the fuel cell hybrid power system according to the proposed VSB are designed and modeled. To protect the fuel cell as well as ensure the efficiency, a fuzzy logic EMS is formulated via setting the fuel cell operating in a high efficiency and generating an incremental power output within the affordable power slope. The comparison between a traditional deterministic rules-based EMS and the designed fuzzy logic was implemented by numerical simulation in three different operation conditions: NEDC, UDDS, and user-defined driving cycle. The results indicated that the incremental fuzzy logic EMS smoothed the fuel cell power and kept the high efficiency. The proposed VSB and incremental fuzzy logic EMS may have a potential application in fuel cell vehicles. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:混合动力系统由燃料电池和储能装置等于电池和/或具有高能量和功率密度的超级电容器的能量存储装置组成,其具有有利地驱动电动车辆马达的高能量和功率密度。燃料电池的电力系统的结构复杂且昂贵,并且在能量管理策略(EMS)中,燃料电池的特点通常被忽略。在该研究中,提出了一种可变结构电池(VSB)方案来增强混合动力系统,并且通过考虑燃料电池的效率和功率变化来平衡电力系统负载来开发增量模糊逻辑方法。通过放电和电荷实验首先引入和验证VSB的原理。随后,设计并建模了根据所提出的VSB的燃料电池混合动力系统的参数匹配。为了保护燃料电池以及确保效率,通过将燃料电池以高效率设定并在经济实惠的功率斜率内产生增量功率输出来制定模糊逻辑EMS。基于传统的基于确定规则的EMS和设计的模糊逻辑之间的比较是通过三种不同操作条件的数值模拟来实现:NEDC,UDD和用户定义的驾驶周期。结果表明,增量模糊逻辑EMS平滑燃料电池电力并保持高效率。所提出的VSB和增量模糊逻辑EMS可以在燃料电池车辆中具有潜在的应用。 (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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