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A combinatorial optimisation approach to energy management strategy for a hybrid fuel cell vehicle

机译:混合动力燃料电池汽车能量管理策略的组合优化方法

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Hybrid Electric Vehicles are becoming more and more prevalent for economic and environmental reasons. Many studies have been conducted in order to improve Hybrid Electric Vehicle performance by increasing their autonomy while respecting the power demand of the electric motor and various constraints. Focusing on the Hybrid Electric Vehicle energy management problem, different approaches and strategies already exist based on non-linear modelling, selection of adequate architecture and source design or the expertise of the manufacturer in the domain. In this paper, a new combinatorial approach is presented to optimally manage offline Hybrid Electric Vehicle energy distribution, composed of two energy sources: a fuel cell as a main source and a super-capacitor for energy storage. New mathematical modelling has been developed that reflects the functioning of the Hybrid Electric Vehicle energy chain, using an exact method to provide an optimal solution that corresponds to hydrogen consumption. Simulations were performed on different realistic mission profiles that showed a significant gain in solution quality and computation time compared with other approaches presented in the literature. Since the quality of solutions depends on the reliability of input data, including disruptions, a robustness study also is carried out. (C) 2017 Elsevier Ltd. All rights reserved.
机译:由于经济和环境原因,混合动力电动汽车正变得越来越普遍。为了增加混合动力汽车的自主性,同时尊重电动机的动力需求和各种约束条件,进行了许多研究。针对混合动力电动汽车的能源管理问题,基于非线性建模,适当架构和源设计的选择或制造商在该领域的专业知识,已经存在不同的方法和策略。在本文中,提出了一种新的组合方法来优化管理离线混合动力汽车的能源分配,该方法由两种能源组成:燃料电池作为主要能源和超级电容器用于储能。已经开发出新的数学模型来反映混合动力汽车能量链的功能,并使用一种精确的方法来提供与氢消耗相对应的最佳解决方案。在不同的现实任务配置文件上进行了仿真,与文献中介绍的其他方法相比,这些解决方案显示出解决方案质量和计算时间的显着增加。由于解决方案的质量取决于包括中断在内的输入数据的可靠性,因此还进行了稳健性研究。 (C)2017 Elsevier Ltd.保留所有权利。

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