SBIR Phase II: Intelligent Planning and Control Software for EV Charging Infrastructure

SBIR第二阶段：电动汽车充电基础设施智能规划和控制软件

• 批准号: 1951197
• 负责人: Narayanan Sankar
• 金额: $ 75万
• 依托单位: Microgrid Labs Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951197&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Intelligent; Planning

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to develop a modeling, simulation and optimization software for fleet electrification projects. Electric vehicles (EVs) are expected to comprise 70% of all new buses and 15% of all commercial trucks by 2030. Electric vehicles are more expensive than diesel buses and need additional investments in charging infrastructure; furthermore, electrification is complex as several factors influence its design, cost and performance. The transition from diesel to electric buses could impose significant loads on the local electrical network, entailing significant upgrades to the electrical infrastructure at the facility and the utility grid. The proposed software will offer the electric vehicle industry a platform to analyze the battery, charging infrastructure, and energy infrastructure. This Small Business Innovation Research (SBIR) Phase II project addresses the problem of planning and operating electric vehicle fleets, especially medium and heavy-duty fleets. The technology uses stochastic optimization and discrete event simulation to optimize fleet sizes to minimize costs and meet operational requirements. The proposed work will create a model of the joint transportation and energy processes (i.e., the driving and charging processes). The proposed software will enable real-time optimization of system operations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个小型企业创新研究(SBIR)项目的更广泛的影响/商业潜力是为车队电气化项目开发一个建模、模拟和优化软件。到2030年，电动汽车(EVS)预计将占所有新公交车的70%和所有商用卡车的15%。电动汽车比柴油公交车更昂贵，需要在充电基础设施方面进行额外投资；此外，电气化是复杂的，因为有几个因素影响其设计、成本和性能。从柴油公交车过渡到电动公交车可能会给当地电网带来巨大的负荷，需要对设施和公用电网的电力基础设施进行重大升级。拟议的软件将为电动汽车行业提供一个分析电池、充电基础设施和能源基础设施的平台。这个小型企业创新研究(SBIR)第二阶段项目解决了电动汽车车队的规划和运营问题，特别是中型和重型车队。该技术使用随机优化和离散事件模拟来优化机队规模，以最大限度地降低成本，满足运营要求。拟议的工作将创建联合运输和能源过程(即驾驶和充电过程)的模型。建议的软件将实现系统操作的实时优化。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。