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Energy management strategy for fuel cell-supercapacitor hybrid vehicles based on prediction of energy demand

机译:基于能量需求预测的燃料电池-超级电容器混合动力汽车能量管理策略

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摘要

Offering high efficiency and producing zero emissions Fuel Cells (FCs) represent an excellent alternative to internal combustion engines for powering vehicles to alleviate the growing pollution in urban environments. Due to inherent limitations of FCs which lead to slow transient response, FC-based vehicles incorporate an energy storage system to cover the fast power variations. This paper considers a FC/supercapacitor platform that configures a hard constrained powertrain providing an adverse scenario for the energy management strategy (EMS) in terms of fuel economy and drivability. Focusing on palliating this problem, this paper presents a novel EMS based on the estimation of short-term future energy demand and aiming at maintaining the state of energy of the supercapacitor between two limits, which are computed online. Such limits are designed to prevent active constraint situations of both FC and supercapacitor, avoiding the use of friction brakes and situations of non-power compliance in a short future horizon. Simulation and experimentation in a case study corresponding to a hybrid electric bus show improvements on hydrogen consumption and power compliance compared to the widely reported Equivalent Consumption Minimization Strategy. Also, the comparison with the optimal strategy via Dynamic Programming shows a room for improvement to the real-time strategies. (C) 2017 Elsevier B.V. All rights reserved.
机译:提供高效率并产生零排放的燃料电池(FC)是内燃机的极佳替代品,可为车辆提供动力,以减轻城市环境中日益严重的污染。由于FC的固有局限性导致缓慢的瞬态响应,基于FC的车辆采用了能量存储系统来覆盖快速的功率变化。本文考虑了一种FC /超级电容器平台,该平台配置了硬约束动力总成,就燃油经济性和驾驶性能而言,为能源管理策略(EMS)提供了不利的情况。着重解决这一问题,本文提出了一种基于短期未来能源需求估算的新型EMS,旨在将超级电容器的能量状态维持在两个极限之间,这些极限可以在线计算。这样的限制旨在防止FC和超级电容器出现主动约束情况,避免在不久的将来使用摩擦制动器和不遵守功率的情况。与广泛报道的等效消耗最小化策略相比,在与混合动力电动客车相对应的案例研究中进行的仿真和实验显示,氢消耗和功率合规性得到了改善。此外,通过动态编程与最佳策略的比较还显示了改进实时策略的空间。 (C)2017 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Journal of power sources》 |2017年第31期|419-433|共15页
  • 作者单位

    CONICET FCEIA UNR, Escuela Ingn Mecan, Beruti 2109,S2000FFI, Rosario, Santa Fe, Argentina;

    UPC, Dept Engn Sistemes Automat & Informat Ind, C Pau Gargallo 5, Barcelona 08028, Spain;

    CSIC UPC, Inst Robot & Informat Ind, C Llorens & Artigas 4-6, Barcelona 08028, Spain;

    CIMEC CONICET UNL, Ctr Invest Metodos Computac, Colectora Ruta Nac N 168 Km 0, Pje El Pozo, Santa Fe, Argentina;

    FCEIA UNR, LAC, Riobamba 245 Bis,S2000EKE, Rosario, Santa Fe, Argentina;

    CIFASIS CONICET, Ocampo & Esmeralda, Ctr Int Franco Argentino Ciencias Informac & Sist, S2000EZP, Rosario, Santa Fe, Argentina;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fuel cell-supercapacitor hybrid vehicle; State constraint; Energy management strategy; Fuel economy; Drivability;

    机译:燃料电池-超级电容器混合动力汽车;状态约束;能源管理策略;燃料经济;可驾驶性;

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