SBIR Phase II: Multi Sub-System Miniaturization and Development for Semi-Truck Fuel Savings Device

SBIR第二期：半卡车节油装置多子系统小型化及开发

• 批准号: 2213299
• 负责人: Sandra Manosalvas-Kjono
• 金额: $ 100万
• 依托单位: AEROMUTABLE CORPORATION
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213299&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Multi; Sub

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is reducing fuel consumption, improving safety and stability, and reducing the carbon footprint of the trucking industry while increasing profitability. Over 70% of US freight tonnage is moved by trucks. At highway speeds, aerodynamic drag uses over 65% of the total vehicle energy. The proposed device modifies the aerodynamic behavior of semi-trucks using air injection by allowing continuous optimization of aerodynamic performance. This project will bring the pneumatic, sensor and artificial intelligence (AI) control systems from proof-of-concept to commercialization. Having a commercial product capable of determining and delivering the trailer’s best aerodynamic profile based on real-time operating conditions may be a game-changer for the trucking industry, as fuel is a significant operating cost. Commercializing this system has the potential to create an energy savings for all US fleets, saving more than 3 billion gallons of diesel fuel, reducing the release of more than 33.5 million tons of carbon dioxide into the atmosphere, tripling trucking company profits, and saving an annual $22 billion.This SBIR Phase II project proposes development of an aerodynamic add-on prototype for semi-trucks to save fuel by dynamically changing the trailer’s aerodynamic profile to accommodate diverse operating conditions. Objectives of this SBIR Project are to evolve the device from prototype to the first commercially viable release through system miniaturization and encapsulation, controller optimization, and improved overall system performance, reliability, and safety. Research conducted to miniaturize the overall system footprint will minimize any additional operational impacts, ensuring widespread adoption and utilization that maximizes fuel savings. Research to optimize the Artificial Intelligence-Controller operation will maximize fuel savings because it will allow the device to operate under a broader set of operational conditions. Further development to improve system performance, reliability, and the addition of a safety assist will improve the profit margins of the trucking industry while simultaneously improving on-road safety for the public. The project seeks to deliver 10% savings in operational costs for the trucking industry while improving the efficiency and safety of their country-wide 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.

这项小型企业创新研究（SBIR）II期项目的更广泛的影响/商业潜力是减少燃料消耗，提高安全性和稳定性，并减少货运行业的碳足迹，同时培养熟练工人。超过70％的美国货运吨位是由卡车移动的。在高速公路速度下，空气动力学的阻力消耗了超过65％的总车辆能量。所提出的设备通过允许连续优化空气动力学性能来改变半卡克的空气动力学行为。该项目将使气动，传感器和人工智能（AI）控制系统从概念验证到商业化。拥有能够根据实时运营条件来确定和交付预告片最佳空气动力学概况的商业产品可能是卡车运输行业的游戏改变者，因为燃料是一项巨大的运营成本。 Commercializing this system has the potential to create an energy savings for all US flets, saving more than 3 billion gallons of diesel fuel, reducing the release of more than 33.5 million tons of carbon dioxide into the atmosphere, tripling trucking company profits, and saving an annual $22 billion.This SBIR Phase II project proposals development of an aerodynamic add-on prototype for semi-trucks to save fuel by dynamically changing the trailer’s空气动力学特征可容纳潜水员的工作条件。该SBIR项目的目标是通过系统的微型化和封装，控制器优化以及改善整体系统性能，可靠性和安全性，将设备从原型发展到首次商业上可行的释放。为了使整体系统足迹进行小型化的研究将最大程度地减少任何其他操作影响，从而确保采用宽度和利用，从而最大程度地利用燃料节省。优化人工智能控制器操作的研究将使燃油节省最大化，因为它将允许该设备在更广泛的操作条件下运行。进一步发展以提高系统性能，可靠性和增加安全辅助，将提高卡车运输行业的利润率，同时改善公众的道路安全性。该项目旨在为卡车运输行业节省10％的储蓄，同时提高其全国业务的效率和安全性。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子和更广泛的影响评估标准来通过评估来表现出珍贵的支持。