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Bandwidth based methodology for designing a hybrid energy storage system for a series hybrid electric vehicle with limited all electric mode.

机译:基于带宽的方法,用于设计具有受限全电动模式的串联混合动力电动汽车的混合动力储能系统。

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摘要

The cost and fuel economy of hybrid electrical vehicles (HEVs) are significantly dependent on the power-train energy storage system (ESS). A series HEV with a minimal all-electric mode (AEM) permits minimizing the size and cost of the ESS. This manuscript, pursuing the minimal size tactic, introduces a bandwidth based methodology for designing an efficient ESS. First, for a mid-size reference vehicle, a parametric study is carried out over various minimal-size ESSs, both hybrid (HESS) and non-hybrid (ESS), for finding the highest fuel economy. The results show that a specific type of high power battery with 4.5 kWh capacity can be selected as the winning candidate to study for further minimization.;In a second study, following the twin goals of maximizing Fuel Economy (FE) and improving consumer acceptance, a sports car class Series-HEV (SHEV) was considered as a potential application which requires even more ESS minimization. The challenge with this vehicle is to reduce the ESS size compared to 4.5 kWh, because the available space allocation is only one fourth of the allowed battery size in the mid-size study by volume. Therefore, an advanced bandwidth-based controller is developed that allows a hybridized Subaru BRZ model to be realized with a light ESS. The result allows a SHEV to be realized with 1.13 kWh ESS capacity.;In a third study, the objective is to find optimum SHEV designs with minimal AEM assumption which cover the design space between the fuel economies in the mid-size car study and the sports car study. Maximizing FE while minimizing ESS cost is more aligned with customer acceptance in the current state of market. The techniques applied to manage the power flow between energy sources of the power-train significantly affect the results of this optimization. A Pareto Frontier, including ESS cost and FE, for a SHEV with limited AEM, is introduced using an advanced bandwidth-based control strategy teamed up with duty ratio control. This controller allows the series hybrid's advantage of tightly managing engine efficiency to be extended to lighter ESS, as compared to the size of the ESS in available products in the market.
机译:混合动力汽车(HEV)的成本和燃油经济性很大程度上取决于动力总成能量存储系统(ESS)。具有最小全电模式(AEM)的串联HEV可使ESS的尺寸和成本最小化。该手稿遵循最小尺寸策略,介绍了一种基于带宽的方法来设计高效的ESS。首先,对于中型参考车辆,对混合动力(HESS)和非混合动力(ESS)的各种最小尺寸的ESS进行了参数研究,以寻求最高的燃油经济性。结果表明,可以选择容量为4.5 kWh的特定类型的高功率电池作为研究的目标,以进一步将其最小化。;在第二项研究中,遵循最大化燃油经济性(FE)和提高消费者接受度的双重目标,跑车系列-HEV(SHEV)被认为是潜在的应用,需要将ESS最小化。这种车辆的挑战是将ESS的尺寸减小到4.5 kWh,因为按体积计算,可用空间分配仅为中型研究中允许的电池尺寸的四分之一。因此,开发了一种基于带宽的高级控制器,该控制器允许使用轻型ESS实现混合的Subaru BRZ模型。结果允许以1.13 kWh ESS容量实现SHEV。;在第三项研究中,目标是找到具有最小AEM假设的最佳SHEV设计,该设计涵盖了中型汽车研究与燃料经济之间的设计空间。跑车学习。在当前市场状态下,最大化FE和最小化ESS成本更符合客户的接受程度。用于管理动力总成能量源之间的动力流的技术显着影响了此优化的结果。引入了基于先进的基于带宽的控制策略和占空比控制,从而引入了具有有限AEM的SHEV的Pareto Frontier,包括ESS成本和FE。与市场上现有产品中ESS的尺寸相比,该控制器使Series Hybrid的优势得以严格管理,从而可将引擎效率扩展至更轻的ESS。

著录项

  • 作者

    Shahverdi, Masood.;

  • 作者单位

    Mississippi State University.;

  • 授予单位 Mississippi State University.;
  • 学科 Engineering Electronics and Electrical.;Energy.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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