I-Corps: Electric Fleet Management

I-Corps：电动车队管理

• 批准号: 2330126
• 负责人: Venkatasubraman Viswanathan
• 金额: $ 5万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2024-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2330126&HistoricalAwards=false
• 关键词: Corps; Electric; Fleet; Management

The broader impact/commercial potential of this I-Corps project is the ability to provide electric vehicle data prior to their deployment. Thus, there are a multitude of customer segments that can be addressed. These segments include: Electric vehicle fleet resellers and manufacturers that want to sell electric vehicles to fleets; Fleet managers that want to intelligently plan this transition; Fleet software companies that want to electric vehicle analysis in their offerings; Utility companies that need to understand what infrastructure upgrade requirements; Charging station providers and government agencies that want to intelligently place their charging stations; and insurance agencies that want to scope new electric vehicle policies. Within each of the segments, this project can span across all vehicle types, such as drones, and all power options, such as hydrogen, propane and electric. The fleet software market is currently $18.2 Billion and expected to grow to $67.4 Billion by 2029. Within the US, it’s currently $7.16 Billion and commercial electric vehicles currently account for 2% of the market; however, this is expected to significantly increase over the next decade. By providing simulated electric vehicle data, this project will help customers make informed decisions on their sustainable transition and avoid disrupting their services.This I-Corps project is based on the development of software that allows fleets and utilities to simulate the performance of different electric vehicles for their use case and analyze their tradeoffs; determine charging infrastructure requirements; determine the battery life cycle throughout their operation; forecast the power load of charging stations; and explore the associated economics all within a digital environment. This tool provides an inexpensive opportunity to de-risk the electrification transition and facilitate the green transportation revolution. This patented technology works by integrating vehicle power dynamics, battery dynamics and real-world data from the location to provide realistic predictions on the performance of the vehicles and the subsequent infrastructure requirements. The route of each vehicle is determined using the customer’s telematics data or can be generated using any routing algorithm. The results from each of the vehicles are then gathered and used to provide both individual vehicle and fleet performance metrics for design decisions. The software’s modularity allows it to handle multiple types of vehicles, including aircraft, and any type of power source, including hydrogen. Therefore, mixed fleets can seamlessly integrate into the software, and it can provide additional insights to the performance and services such as climate impact reports.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.

I-Corps项目更广泛的影响和商业潜力在于能够在电动汽车部署之前提供数据。因此，有大量的客户细分可以解决。这些细分市场包括：电动汽车车队经销商和希望向车队销售电动汽车的制造商；希望明智地规划这一转变的车队经理；希望在其产品中加入电动汽车分析的车队软件公司；公用事业公司需要了解哪些基础设施升级要求；希望智能放置充电站的充电站提供商和政府机构；保险公司想要制定新的电动汽车政策。在每个细分市场中，该项目可以涵盖所有类型的车辆，如无人机，以及所有动力选择，如氢气，丙烷和电动。目前，车队软件市场规模为182亿美元，预计到2029年将增长到674亿美元。在美国，目前的市场规模为71.6亿美元，商用电动汽车目前占市场份额的2%；然而，预计这一数字在今后十年将显著增加。通过提供模拟电动汽车数据，该项目将帮助客户在可持续转型方面做出明智的决策，并避免中断他们的服务。I-Corps项目基于软件开发，该软件允许车队和公用事业公司模拟不同电动汽车的使用情况，并分析其权衡；确定充电基础设施要求；确定电池在整个运行过程中的寿命周期；充电站电力负荷预测；并在数字环境中探索相关的经济学。这一工具为降低电气化转型的风险和促进绿色交通革命提供了一个廉价的机会。这项专利技术通过整合车辆动力动态、电池动态和实际数据，为车辆性能和后续基础设施需求提供切合实际的预测。每辆车的路线是使用客户的远程信息处理数据确定的，也可以使用任何路由算法生成。然后收集每辆车的测试结果，并用于为设计决策提供单个车辆和车队的性能指标。该软件的模块化使其能够处理多种类型的车辆，包括飞机，以及任何类型的电源，包括氢。因此，混合车队可以无缝地集成到软件中，它可以为性能和服务提供额外的见解，例如气候影响报告。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。