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Impact of Intelligent Transportation Systems on Parallel Hybrid Electric Heavy Duty Vehicles.

机译:智能交通系统对并联混合动力电动重型车辆的影响。

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摘要

A hybrid electric vehicle uses multiple sources of energy that can be independently or all together used to propel the wheels. In the presented work, the vehicle propulsion controller (VPC) for a parallel heavy duty hybrid electric vehicle (HEV) model has been modified to manage the alternative power source in advance based on the forthcoming traffic information. The goal is to prepare the powertrain for the next power event by making more energy storage capacity to capture free energy via regenerative braking or store more energy for expected need. The method of preparation will be by managing the battery state of charge (SOC), which is a metal hydride battery for this study, to take advantage of opportunistic regeneration. Autonomie software was used to simulate parallel HEV models.;The results revealed that the proposed looking-ahead control strategy for a class 8 parallel hybrid heavy duty vehicle with an engine power of 410 kW had a substantial contribution in preparing the system for forthcoming power demand. The looking-ahead strategy employed in this study improved fuel economy from 0.5% on flat terrain to about 3% on mountain terrain. Moreover, a looking-ahead strategy can contribute significantly to maintaining adequate power for the vehicle on different terrain types. The engine power can be downsized (with looking-ahead strategy) therefore improving fuel economy up to 13% while maintaining adequate power over different terrain types. The battery energy capacity can be downsized (with looking-ahead strategy) by half while maintaining nearly the same benefits (i.e. fuel economy and adequate power) compared to the hybridization system without looking-ahead strategy. Since different routes types (i.e. flat, hilly and mountain terrains) were used to investigate the impact of the looking-ahead strategy on heavy duty parallel HEV, these results can generally be applied to many terrain and traffic situations.
机译:混合动力电动汽车使用多种能源,这些能源可以独立使用,也可以一起用于推进车轮。在提出的工作中,对并联重型混合动力电动汽车(HEV)模型的车辆推进控制器(VPC)进行了修改,以便根据即将到来的交通信息提前管理替代电源。目标是通过增加能量存储容量以通过再生制动来捕获自由能量或存储更多能量以满足预期需求,为下一次动力事件做好动力总成的准备。制备方法是通过管理电池充电状态(SOC)(该电池是本研究的金属氢化物电池)来利用机会性再生。结果表明,拟议的发动机功率为410 kW的8级并联混合动力重型车辆的前瞻性控制策略在为满足即将到来的功率需求准备系统方面做出了重大贡献。这项研究中采用的超前策略将燃油经济性从平坦地形的0.5%提高到山区地形的约3%。此外,前瞻策略可以在不同地形类型上为车辆保持足够的动力做出重要贡献。发动机功率可以缩小(采用超前策略),因此可将燃油经济性提高多达13%,同时在不同地形类型上保持足够的功率。与不带超前策略的混合动力系统相比,可以将电池能量容量缩小一半(采用超前策略),同时保持几乎相同的收益(即燃油经济性和足够的动力)。由于使用了不同的路线类型(即平坦,丘陵和山区地形)来研究超前策略对重型并行HEV的影响,因此这些结果通常可应用于许多地形和交通情况。

著录项

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Mechanical engineering.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:31

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