InfoRich VD&PT Controls

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Detroit, Michigan
Project Term:
03/30/2017 - 11/30/2020

Technology Description:

General Motors will lead a team to develop "InfoRich" vehicle technologies that will combine advances in vehicle dynamic and powertrain control technologies with recent vehicle connectivity and automation technologies. The result will be a light duty gasoline vehicle that demonstrates greater than 20% fuel consumption reduction over current production vehicles while meeting all safety and exhaust emissions standards. On-board sensors and connected data will provide the vehicle with additional information such as the status of a traffic signal before a vehicle reaches an intersection, as well as traffic, weather, and accident information. This preview information enables the vehicle (and the driver) not only to react to current road conditions but also to plan for expected future conditions more efficiently. A proposed supervisory vehicle dynamic and powertrain controller will incorporate all the information available through connectivity and on-board sensors into an upper-level optimizer that determines the most fuel-efficient and safest vehicle operation. The upper-level optimizer sends brake, steering, speed, and torque requests to the two lower-level controllers: the vehicle dynamics controller (i.e. steering, acceleration and braking) and powertrain (i.e. engine, transmission) controller. The lower-level controllers, in turn, optimize their individual requests and send out commands to control the vehicle and powertrain. Overall energy efficiency increases by forecasting stopping events as early as possible, smoothing and reducing heavy acceleration, harmonizing speed, and optimizing the vehicle when approaching hills. The project combines General Motors' advanced vehicle/powertrain controls with Carnegie Mellon University's expertise in autonomous vehicles. Extensive real-world driving data available from the National Renewable Energy Laboratory's Transportation Secure Data Center and on-road tests will be used to validate improvements in fuel efficiency and assess real-world impacts.

Potential Impact:

If successful, General Motors’ project will enable at least an additional 20% reduction in energy consumption of future connected and automated vehicles.


These project innovations could lead to a dramatically more efficient domestic vehicle fleet, lessening U.S. dependence on imported oil.


Greater efficiency in transportation can help reduce sector emissions, helping improve urban air quality and decreasing the sector’s carbon footprint.


Innovations would further solidify the United States’ status as a global leader in connected and automated vehicle technology, while a more efficient vehicle fleet would reduce energy cost per mile driven and bolster economic competitiveness.


ARPA-E Program Director:
Dr. Marina Sofos
Project Contact:
Dr. Chen-Fang Chang
Press and General Inquiries Email:
Project Contact Email:


National Renewable Energy Laboratory
Carnegie Mellon University

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