2012•Transportation Research Board 91st Annual MeetingTransportation Research BoardRequires access

A Study of Potential Benefits of Predictive Eco-cruise Control Systems

Sangjun Park, Hesham A. Rakha, Kyoungho Ahn, Kevin Moran

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Abstract

A vehicle predictive eco-cruise control system has been developed that minimizes vehicle fuel consumption levels utilizing roadway topographic information. The predictive eco-cruise control system consists of three components: a fuel consumption model, a powertrain model, and an optimization algorithm. The developed system generates an optimal vehicle control plan using roadway grade information to vary the vehicle speed within a preset speed window in a fuel-saving manner. The developed system is tested by simulating a vehicle trip on both real and synthetic roadway profiles and comparing this to conventional cruise control system performance using ten top-selling vehicles. Fuel savings relative to a conventional cruise control system in the range of 60 to 30% are demonstrated. This corresponds to approximately a 6.9% reduction in the total U.S. oil consumption, assuming a daily consumption of 20 million barrels.

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What this paper is about

A vehicle predictive eco-cruise control system has been developed that minimizes vehicle fuel consumption levels utilizing roadway topographic information. The predictive eco-cruise control system consists of three components: a fuel consumption model, a powertrain model, and an optimization algorithm. The developed system generates an optimal vehicle control plan using roadway grade information to vary the vehicle speed within a preset speed window in a fuel-saving manner. The developed system is tested by simulating a vehicle trip on both real and synthetic roadway profiles and comparing this to conventional cruise control system performance using ten top-selling vehicles. Fuel savings relative to a conventional cruise control system in the range of 60 to 30% are demonstrated. This corresponds to approximately a 6.9% reduction in the total U.S. oil consumption, assuming a daily consumption of 20 million barrels.

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Available abstract

A vehicle predictive eco-cruise control system has been developed that minimizes vehicle fuel consumption levels utilizing roadway topographic information. The predictive eco-cruise control system consists of three components: a fuel consumption model, a powertrain model, and an optimization algorithm. The developed system generates an optimal vehicle control plan using roadway grade information to vary the vehicle speed within a preset speed window in a fuel-saving manner. The developed system is tested by simulating a vehicle trip on both real and synthetic roadway profiles and comparing this to conventional cruise control system performance using ten top-selling vehicles. Fuel savings relative to a conventional cruise control system in the range of 60 to 30% are demonstrated. This corresponds to approximately a 6.9% reduction in the total U.S. oil consumption, assuming a daily consumption of 20 million barrels.

Key concepts: Fuel efficiency, Cruise, Cruise control, Automotive engineering, Powertrain, Model predictive control, Range (aeronautics), Control system

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