SBIR-STTR Award

Multi Sub-System Miniaturization and Development for Semi-Truck Fuel Savings Device
Award last edited on: 9/2/2023

Sponsored Program
SBIR
Awarding Agency
NSF
Total Award Amount
$1,225,000
Award Phase
2
Solicitation Topic Code
ET
Principal Investigator
Sandra Manosalvas-Kjono

Company Information

Aeromutable Corporation

1452 East 53rd Street
Chicago, IL 60615
   (619) 693-7565
   info@aeromutable.com
   www.aeromutable.com
Location: Single
Congr. District: 01
County: Cook

Phase I

Contract Number: 1940360
Start Date: 1/15/2020    Completed: 12/31/2020
Phase I year
2020
Phase I Amount
$225,000
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to reduce fuel consumption and improve safety in the trucking industry while increasing profitability. Over 70% of US freight tonnage is moved by the trucking industry, but at highway speeds, aerodynamic drag uses over 65% of the total vehicle energy. This project will develop a network of sensors and an artificial intelligence (AI-)control system. This will be integrate with an experimental device that modifies the aerodynamic behavior of semi-trucks using air injection, enabling continuously optimized aerodynamic performance. This project will create a sensor system able to describe the micro-climate of a semi truck in real time, and an AI-control system to determine the trailer?s best aerodynamic profile based on current operating conditions. This system would create an energy savings for all US fleets of up to 3B+ gallons of unburned diesel for an annual total addressable market of $20B.This SBIR Phase I project proposes development of an aerodynamic add-on prototype for trucks to save fuel by dynamically changing the trailer?s aerodynamic profile. To capture the operating conditions around the trailer in real time, this project will develop a sensor system to accurately measure the environment surrounding the vehicle. This project will explore relationships among environmental measurements, optimize the number and location of sensors, conduct the relevant systems engineering studies, and build a prototype.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.

Phase II

Contract Number: 2213299
Start Date: 4/1/2023    Completed: 3/31/2025
Phase II year
2023
Phase II Amount
$1,000,000
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.