I/UCRC (CGI)Collaborative Research: I/UCRC PHEV/EBVs: Transportation and Electricity Convergence

I/UCRC (CGI) 合作研究:I/UCRC PHEV/EBV:交通与电力融合

基本信息

项目摘要

The proposed Center for PHEV/EBVs: Transportation and Electricity Convergence will focus on integrating and extending existing studies, and exploring new research needs in order to conduct a truly comprehensive assessment of the potential impacts of PHEV/EBVs. The research efforts will be anchored by the University of Texas at Austin (lead institution) partnered with Texas A&M University. The proposed activity address a timely and important topic of high priority as a major national emphasis is being placed on the development and improvement of the electrical power infrastructure, methods of improving transportation energy efficiency, transitioning automobiles from fossil fuel energy sources and controlling potential contributors to climate change. The Center for Transportation and Electricity Convergence (CTEC) proposed in this document will take a unique systemic approach to the study of a potentially massive adoption of PHEVs/EBVs. It will consider the technical aspects of PHEVs/EBVs deployment along with a variety of socio-economic, commercial, environmental, regulatory, and industrial factors which need to be understood and carefully coordinated in order to maximize the opportunity for economic and societal benefit brought about by these vehicles. The Center will identify the dynamics of the meta-system comprised of energy, transportation, consumer choice, and infrastructure development, using advanced system-level modeling, optimization, and analysis techniques. The proposed Center will lay the intellectual groundwork for characterizing and managing the inevitable changes in energy, transportation, and the built environment that will occur with increased adoption of PHEV/EBVs and other cross-cutting innovative sustainable solutions. Widespread deployment of PHEV/EBVs will have effects on numerous industries including electric utilities, automotive, manufacturing, transportation planning, air quality management, and construction of the built environment. The industry participation will enhance the students educational experience by providing a pipeline for talented engineers and scientist to industry. The Center plans to attract a diverse group of researchers and students with highly interdisciplinary interests and training.
拟议的PHEV/EBV中心:运输和电力融合将着重于整合和扩展现有研究,并探索新的研究需求,以便对PHEV/EBV的潜在影响进行真正的全面评估。研究工作将由德克萨斯大学(Dexas Anditution)的德克萨斯大学(University of Dexasin)与得克萨斯州A&M大学合作。拟议的活动涉及一个高度优先级的一个及时,重要的主题,因为主要的全国重点是对电力基础设施的发展和改善,提高运输能源效率的方法,从化石燃料能源来转变汽车的方法,并控制了潜在的贡献者到气候变化。本文档中提出的运输与电力融合中心(CTEC)将采用独特的系统方法来研究PHEVS/EBV的潜在大规模采用。它将考虑PHEVS/EBV部署的技术方面以及各种需要理解和仔细协调的社会经济,商业,环境,监管和工业因素,以最大程度地利用这些工具带来的经济和社会利益的机会。该中心将使用先进的系统级建模,优化和分析技术来确定由能源,运输,消费者选择和基础设施开发组成的元系统的动力。拟议的中心将奠定智力基础,以表征和管理不可避免的能源,运输和建筑环境的变化,这将随着PHEV/EBV和其他跨挑选创新的可持续解决方案的采用而发生的。 PHEV/EBV的广泛部署将对众多行业产生影响,包括电力公司,汽车,制造,运输计划,空气质量管理以及建筑环境的建设。该行业的参与将通过为有才华的工程师和科学家的行业提供管道来增强学生的教育经验。该中心计划吸引一群具有高度跨学科利益和培训的研究人员和学生。

项目成果

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Mehrdad Ehsani其他文献

Developing deterministic and probabilistic prediction models to evaluate high-temperature performance of modified bitumens
  • DOI:
    10.1016/j.conbuildmat.2023.132808
  • 发表时间:
    2023-10-19
  • 期刊:
  • 影响因子:
  • 作者:
    Mehrdad Ehsani;Pouria Hajikarimi;Masoud Esfandiar;Mohammad Rahi;Behzad Rasouli;Yousef Yousefi;Fereidoon Moghadas Nejad
  • 通讯作者:
    Fereidoon Moghadas Nejad
Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection
  • DOI:
    10.1016/j.conbuildmat.2024.135331
  • 发表时间:
    2024-02-23
  • 期刊:
  • 影响因子:
  • 作者:
    Mehrdad Ehsani;Mobin Ostovari;Shoaib Mansouri;Hamed Naseri;Hamid Jahanbakhsh;Fereidoon Moghadas Nejad
  • 通讯作者:
    Fereidoon Moghadas Nejad
Multi-figure of merit optimization for global scale sustainable power systems
  • DOI:
    10.1016/j.renene.2018.11.053
  • 发表时间:
    2019-04-01
  • 期刊:
  • 影响因子:
  • 作者:
    Hussein M.K. Al-Masri;Ahmad AbuElrub;Abdullah A. Almehizia;Mehrdad Ehsani
  • 通讯作者:
    Mehrdad Ehsani
Bipedal Robotic Walking on Flat-Ground, Up-Slope and Rough Terrain with Human-Inspired Hybrid Zero Dynamics
采用受人类启发的混合零动力学在平地、上坡和崎岖地形上行走的双足机器人
  • DOI:
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    N. Yadukumar;Aaron D. Ames;Shankar P. Bhattacharyya;Mehrdad Ehsani;Igor Zelenko;Ohannes Eknoyan;Shishir Nadubettu Yadukumar;Aaron D. Ames
  • 通讯作者:
    Aaron D. Ames
Sensorless control of the switched reluctance motor drive based on the stiff system control concept and signature detection
基于刚性系统控制概念和特征检测的开关磁阻电机驱动器无传感器控制

Mehrdad Ehsani的其他文献

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