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

机译:开发燃料电池混合动力车辆的共同优化设计和控制的灵活程序

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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:开发成功的燃料电池混合动力车辆(FCHV),注定在整个运输部门的最广泛部署,如今被认为是一个高度战略性的目标,以满足国际一级的知名环境和监管制约。与电气和混合动力汽车相比,如高燃料 - 经济性,减少罐对轮环境冲击和良好的范围相比,这种情况发生了这种情况。成功实现上述具有挑战性目标的促使本文提出和讨论的研究活动,即开发具有协同优化功能的先进数学工具。这种要求的原因在于所识字的强烈相互作用和所选设计标准与采用控制策略之间的相互影响。因此,初步开发了一种普通的FCHV架构和规范独立控制策略的综合模型,因此适用于不同的燃料电池系统和电池尺寸。然后,它们被整合并嵌入在模块化约束优化算法中,以便同时找到最佳FCHV动力总成设计,以及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量管理标准,以探索多个动力总成配置(即,更混合,以及更多的插件和范围 - 扩展器,如FCHV)。这允许验证所提出的程序的适用性,从而产生溶液,确保低氢消耗量(即高达135公里/千克的燃料经济性)和与有针对性的能源管理政策完全一致。结果讨论结果,以及主要设计和控制变量作为结果的物理意义,强调了所提出的工具在提供坚实的燃料电池动力总成的初步设计中提供坚实的燃料电池动力总成和驾驶的初步设计习惯。

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