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Development of flexible procedures for co-optimizing design and control of fuel cell hybrid vehicles

机译:制定灵活的程序以共同优化燃料电池混合动力汽车的设计和控制

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Developing successful fuel cell hybrid vehicles (FCHVs), to be destined to the widest deployment within the entire transport sector, is nowadays considered as a highly strategic target to fully meet well known environmental and regulatory constraints at international level. This happens thanks to the intrinsic overall superior features of fuel cell propulsion when compared to both electric and hybrid vehicles, such as high fuel-economy, reduced tank-to-wheel environmental impact and good ranges. Successful achievement of the above-introduced challenging goal motivates the research activity presented and discussed in this paper, namely the development of an advanced mathematical tool featuring co-optimization capabilities. The reason for such a requirement lies in the well-known strong interactions and mutual influence between selected design criteria and adopted control strategies. Therefore, a comprehensive model of a generic FCHV architecture and a specification independent control strategy, thus adaptable to different fuel cell system and battery sizes, were preliminary developed. Then, they were integrated and embedded within a modular constrained optimization algorithm, which was conceived in such a way as to simultaneously find the optimal FCHV powertrain design, as well as real-time applicable control strategies. Suitable design and energy management criteria were investigated on a selected driving cycle, in such a way to explore several powertrain configurations (i.e. more hybrid, as well as more plugin and range-extender like FCHV). This allowed verifying the suitability of the proposed procedure to yield solutions ensuring low hydrogen consumption (i.e. fuel economy as high as 135 km/kg) and full alignment with targeted energy management policies. Discussion of results, together with the physical meaning of main design and control variables provided as outcomes, underline the effectiveness of the proposed tool in providing a solid support in the preliminary design of cost-effective fuel cell powertrain destined to a variety of applications and driving habits.
机译:如今,开发成功的燃料电池混合动力汽车(FCHV),注定要在整个运输领域中得到最广泛的应用,已被视为高度战略性的目标,可以完全满足国际上众所周知的环境和法规限制。与电动和混合动力汽车相比,燃料电池推进具有内在的总体优越性,例如高燃料经济性,减少的油箱对轮对环境的影响以及良好的续航里程。上述挑战性目标的成功实现激发了本文介绍和讨论的研究活动,即开发具有共同优化功能的高级数学工具。产生此要求的原因在于选定的设计标准与采用的控制策略之间众所周知的强相互作用和相互影响。因此,初步开发了通用FCHV架构的综合模型和独立于规范的控制策略,从而适用于不同的燃料电池系统和电池尺寸。然后,将它们集成并嵌入到模块化约束优化算法中,该算法的构想是同时找到最佳FCHV动力总成设计和实时适用的控制策略。在选定的驾驶循环中研究了合适的设计和能源管理标准,以探索几种动力总成配置(即更多混合动力以及更多像FCHV这样的插件和增距器)。这可以验证所提出程序的适用性,以产生确保低氢消耗量(即燃料经济性高达135 km / kg)并完全符合目标能源管理政策的解决方案。对结果的讨论以及作为结果提供的主要设计和控制变量的物理含义,突显了该工具在初步设计面向各种应用和驾驶的具有成本效益的燃料电池动力总成方面提供坚实支持的有效性。习惯。

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