Towards Mass Adoption of Electric Vehicles and a Sustainable Future: Infrastructure Design and Service Operations Management for Battery Swapping and Fast Charging Facilities

该奖项的研究目标是为电动汽车（EV）基础设施行业设计有效的模型和系统，最终目标是促进电动汽车的大规模采用，并创造一个可持续的绿色交通部门。电动汽车能否成功地大规模普及，取决于这些设施的配套基础设施是否方便使用。本研究将从物流和经济学的角度研究电动汽车基础设施行业，并提供有效的优化模型和系统，可应用于实践，以帮助复杂的决策，评估政策的有效性，并提供实时操作控制。 将开发鲁棒和动态优化模型，这些模型利用分布鲁棒随机规划、混合整数圆锥优化、分解和近似技术以及具有在线学习的随机动态控制中的最新方法。除了应用之外，这项研究还将有助于这些方法的理论。如果成功，该项目的成果将促进电动汽车的大规模采用和可持续未来的革命。通过研究实现的模型和工具可以帮助行业设计更高效和更具成本效益的电动汽车基础设施。 该项目将通过加州大学伯克利分校能源系统工程硕士课程为行业专业人员的培训做出贡献。 该项目还将受益于与行业领先制裁商的密切合作和伙伴关系。最后，该项目将指导和支持学生研究人员，他们将在未来的学术生涯中继续研究绿色交通。

The research objective of this award is to design effective models and systems for the electric vehicle (EV) infrastructure industry, with the eventual goal of facilitating mass adoption of EVs and creating a sustainable green transportation sector. The successful mass adoption of EVs hinges on the accessibility of supporting infrastructure for these facilities. This research will study the EV infrastructure industry from a logistics and economics angle, and provide effective optimization models and systems that can be applied in practice to assist complicated decision making, evaluate the effectiveness of policies, and provide real-time operations control. Robust and dynamic optimization models, that utilize state-of-the-art methodologies in distributionally-robust stochastic programming, mixed-integer conic optimization, decomposition and approximation techniques, and stochastic dynamic control with online learning will be developed. Beyond applications, this research will also contribute to the theory of these approaches.If successful, the outcomes of the project will facilitate the revolution toward mass adoption of EVs and a sustainable future. Models and tools made possible by the research can help the industry design more efficient and cost effective EV infrastructure. The project will contribute to the training of industry professionals through the UC Berkeley Master of Engineering program in energy systems. The project will also benefit from close collaboration and partnership with leading industry sanctioners. Finally, the project will mentor and support student researchers who will continue research in green transportation during their future academic careers.