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Development & optimization of a rule-based energy management strategy for fuel economy improvement in hybrid electric vehicles.

机译：开发和优化基于规则的能源管理策略，以改善混合动力电动汽车的燃油经济性。

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摘要

The gradual decline of oil reserves and the increasing demand for energy over the past decades has resulted in automotive manufacturers seeking alternative solutions to reduce the dependency on fossil-based fuels for transportation. A viable technology that enables significant improvements in the overall energy conversion efficiencies is the hybridization of conventional vehicle drive systems.;This dissertation builds on prior hybrid powertrain development at the University of Idaho. Advanced vehicle models of a passenger car with a conventional powertrain and three different hybrid powertrain layouts were created using GT-Suite. These different powertrain models were validated against a variety of standard driving cycles. The overall fuel economy, energy consumption, and losses were monitored, and a comprehensive energy analysis was performed to compare energy sources and sinks. The GT-Suite model was then used to predict the formula hybrid SAE vehicle performance. Inputs to this model were a numerically predicted engine performance map, an electric motor torque curve, vehicle geometry, and road load parameters derived from a roll-down test. In this case study, the vehicle had a supervisory controller that followed a rule-based energy management strategy to insure a proper power split during hybrid mode operation. The supervisory controller parameters were optimized using discrete grid optimization method that minimized the total amount of fuel consumed during a specific urban driving cycle with an average speed of approximately 30 [mph]. More than a 15% increase in fuel economy was achieved by adding supervisory control and managing power split. The vehicle configuration without the supervisory controller displayed a fuel economy of 25 [mpg]. With the supervisory controller this rose to 29 [mpg].;Wider applications of this research include hybrid vehicle controller designs that can extend the range and survivability of military combat platforms. Furthermore, the GT-Suite model can be easily accommodated to simulate propulsion systems that store regenerative power when braking, making it available for acceleration and off-road maneuvering.
机译：在过去的几十年中，石油储量的逐渐减少和对能源的需求不断增加，导致汽车制造商寻求替代解决方案，以减少对化石燃料的依赖。能够显着提高整体能量转换效率的可行技术是常规车辆驱动系统的混合动力。；本论文基于爱达荷大学先前的混合动力总成开发。使用GT-Suite创建了具有常规动力总成和三种不同混合动力总成布局的乘用车高级汽车模型。这些不同的动力总成模型已针对各种标准驾驶周期进行了验证。监测了总体燃料经济性，能源消耗和损失，并进行了综合能源分析以比较能源和汇。然后，将GT-Suite模型用于预测混合式SAE汽车的性能。该模型的输入是数值预测的发动机性能图，电动机扭矩曲线，车辆几何形状以及从滚动测试得出的道路载荷参数。在此案例研究中，车辆具有一个监督控制器，该监督控制器遵循基于规则的能源管理策略，以确保在混合动力模式运行期间进行适当的动力分配。使用离散网格优化方法对监督控制器参数进行优化，该方法可将特定城市驾驶周期中平均速度约为30 mph的燃料消耗量降至最低。通过增加监督控制和管理动力分配，燃油经济性提高了15％以上。没有监督控制器的车辆配置显示燃油经济性为25 [mpg]。有了监督控制器，这个数字上升到了29 [mpg]。该研究的广泛应用包括混合动力车辆控制器设计，该设计可以扩展军事作战平台的射程和生存能力。此外，GT-Suite模型可以轻松地用于模拟推进系统，该系统可以在制动时存储再生动力，从而可用于加速和越野操作。

著录项

  • 作者

    Asfoor, Mostafa.;

  • 作者单位

    University of Idaho.;

  • 授予单位 University of Idaho.;
  • 学科 Engineering Mechanical.;Energy.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 157 p.
  • 总页数 157
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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