首页> 外文OA文献 >Development of Hybrid Vehicle Energy Consumption Model for Transportation Applications—Part II: Traction Force-Speed Based Energy Consumption Modeling
【2h】

Development of Hybrid Vehicle Energy Consumption Model for Transportation Applications—Part II: Traction Force-Speed Based Energy Consumption Modeling

机译:运输应用混合动力车辆能耗模型的开发 - 第二部分:牵引力 - 基于速度的能耗建模

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

In the transportation sector, the fuel consumption model is a fundamental tool for vehicles’ energy consumption and emission analysis. Over the past decades, vehicle-specific power (VSP) has been enormously adopted in a number of studies to estimate vehicles’ instantaneous driving power. Then, the relationship between the driving power and fuel consumption is established as a fuel consumption model based on statistical approaches. This study proposes a new methodology to improve the conventional energy consumption modeling methods for hybrid vehicles. The content is organized into a two-paper series. Part I captures the driving power equation development and the coefficient calibration for a specific vehicle model or fleet. Part II focuses on hybrid vehicles’ energy consumption modeling, and utilizes the equation obtained in Part I to estimate the driving power. Also, this paper has discovered that driving power is not the only primary factor that influences hybrid vehicles’ energy consumption. This study introduces a new approach by applying the fundamental of hybrid powertrain operation to reduce the errors and drawbacks of the conventional modeling methods. This study employs a new driving power estimation equation calibrated for the third generation Toyota Prius from Part I. Then, the Traction Force-Speed Based Fuel Consumption Model (TFS model) is proposed. The combination of these two processes provides a significant improvement in fuel consumption prediction error compared to the conventional VSP prediction method. The absolute maximum error was reduced from 57% to 23%, and more than 90% of the predictions fell inside the 95% confidential interval. These validation results were conducted based on real-world driving data. Furthermore, the results show that the proposed model captures the efficiency variation of the hybrid powertrain well due to the multi-operation mode transition throughout the variation of the driving conditions. This study also provides a supporting analysis indicating that the driving mode transition in hybrid vehicles significantly affects the energy consumption. Thus, it is necessary to consider these unique characteristics to the modeling process.
机译:在运输部门,燃料消耗模型是车辆能耗和排放分析的基本工具。在过去的几十年中,在许多研究中已经大量采用了车辆特定的电力(VSP)以估算车辆的瞬时驱动力。然后,基于统计方法建立驱动功率和燃料消耗之间的关系作为燃料消耗模型。本研究提出了一种新方法,以改善混合动力车辆的传统能耗建模方法。内容被组织成两纸系列。第一部分捕获了特定车辆模型或舰队的驱动功率方程开发和系数校准。第二部分专注于混合动力汽车的能耗建模,并利用第一部分中获得的等式来估计驱动力。此外,本文发现驱动力不是影响混合动力汽车能源消耗的唯一主要因素。本研究通过应用混合动力系统操作的基础来介绍一种新的方法,以减少传统建模方法的误差和缺点。本研究采用了来自第三代TOYOTA PRIUS校准的新的驱动功率估计方程,从第一部分校准。然后,提出了基于牵引力的燃料消耗模型(TFS模型)。与传统的VSP预测方法相比,这两个过程的组合提供了燃料消耗预测误差的显着改善。绝对最大误差从57%降至23%,超过90%的预测下降到95%的机密间隔内。这些验证结果是基于现实世界驾驶数据进行的。此外,结果表明,所提出的模型捕获混合动力系的效率变化很好地由于在驾驶条件的整个变型中的多功能模式过渡而良好。本研究还提供了一种支持分析,表明混合动力车辆中的驾驶模式过渡显着影响能量消耗。因此,有必要将这些独特的特征考虑在建模过程中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号