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Integrated modeling and hardware-in-the-loop study for systematic evaluation of hydraulic hybrid propulsion options.

机译：集成建模和硬件在环研究，可对液压混合动力选项进行系统评估。

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摘要

The fuel economy benefits of any given hybrid technology depend greatly on the vehicle type, size, supervisory control and driving schedule. The main goal of this work is to develop a comprehensive methodology for up-front strategic assessments of the best hybrid system for a given vehicle platform, and to explore the impact of vehicle driving schedules on the final decision. Several other objectives enabled achieving the main goal, including modeling, optimization of design and power management of several hydraulic hybrid systems developed for a 4x4 light truck.; The parallel, series and power-split hybrid configurations are modeled and analyzed. The unique issues related to matching of components and interactions in the system with a high-power density of pump/motors and the energy storage (accumulator), but relatively low energy density of the storage and limited motor speed range are investigated. The design optimization is carried out to maximize the fuel economy while satisfying vehicle performance constraints. An Engine-in-the-Loop capability is developed for each of the hybrid architectures, integration issues are resolved and the EIL is subsequently used for validation of simulation predictions and studies of the impact of hybrid system configuration and control on diesel emissions.; For the power management optimization, the deterministic dynamic programming technique provides the fuel economy benchmark. Stochastic dynamic programming technique is explored next, in order to develop an implementable sub-optimal supervisory control policy based on the vehicle power demand probability distribution sampled from various driving schedules. The simulation results obtained over the wide range of driving schedules from aggressive city cycles to mild highway cycles provided fuel atonally trends and comparison of hybrid propulsion options. Fuel economy improvements of ∼80% (up to 150% with engine shutdowns) are shown for aggressive city-cycles, while the gains diminish for high-speed highway driving. Verification of the emission reduction potential is enabled by synergistic experiments using a newly developed engine-in-the-loop capability. The results provide insight into the effects of the hybrid power management on transient emissions of soot and nitric oxides from a diesel, and provide guidance for the development of strategies for achieving both clean and efficient hybrid propulsion.
机译：任何给定混合动力技术的燃油经济性收益在很大程度上取决于车辆的类型，大小，监督控制和驾驶时间表。这项工作的主要目的是为给定的车辆平台开发一种用于最佳混合动力系统的前期战略评估的综合方法，并探索车辆驾驶时间表对最终决策的影响。其他几个目标实现了主要目标，包括为4x4轻型卡车开发的几种液压混合动力系统的建模，优化设计和动力管理。对并联，串联和功率分割混合配置进行建模和分析。研究了与泵/电动机的高功率密度和储能器（蓄能器）的系统中组件和相互作用的匹配有关的独特问题，但研究了储能器的能量密度较低且电动机速度范围有限。进行设计优化以使燃油经济性最大化，同时满足车辆性能要求。为每种混合动力架构开发了“引擎在环”功能，解决了集成问题，随后使用EIL验证了仿真预测，并研究了混合动力系统配置和控制对柴油机排放的影响。对于功率管理优化，确定性动态编程技术提供了燃油经济性基准。接下来，将探索随机动态规划技术，以便基于从各种行驶计划中采样的车辆动力需求概率分布，制定可实施的次优监督控制策略。从激进的城市周期到平缓的高速公路周期，在广泛的驾驶时间表上获得的仿真结果提供了燃料的无声趋势和混合动力推进方案的比较。在激进的城市循环中，燃油经济性提高了约80％（在发动机关闭的情况下，最高可提高150％），而在高速公路驾驶中，收益却减少了。通过使用新开发的发动机在环功能的协同实验，可以验证减排潜力。结果为深入了解混合动力管理对柴油机烟尘和一氧化氮瞬态排放的影响，并为制定实现清洁和高效混合动力的战略提供了指导。

著录项

  • 作者

    Kim, Young Jae.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 265 p.
  • 总页数 265
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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