Technology Available for Licensing

Case 15450/15451

Optimizing fuel efficiency for HEV by path forecast and RHC algorithm

Keywords:

Hybrid electric vehicles (HEV), dynamic programming, path forecasting, fuel efficiency, state of charge

Applications:

Improving Hybrid Electric Vehicle fuel efficiency by path forecasting

Problem:

Fuel consumption of hybrid electric vehicles and high computation requirements of Dynamic Programming

Technology:

The invention includes a receding horizon control (RHC) algorithm in combination with a novel approach of route decomposition and control of battery charging and discharging when vehicle decelerates/accelerates, to minimize fuel consumption over a pre-planned or predicted route. In addition, the RHC strategy creates a virtual terminal road segment to optimize the Dynamic Programming (DP) procedures, in order to save computing time and efforts.

Advantages:

• Improve HEV fuel economy
• Reduce computation requirements
• Incorporates changes in route information during the trip

Inventors:

• Prof. Munther A. Dahleh(Department of Electrical Engineering and Computer Science, MIT)
• Georgia-Evanglina Katsargyri (Department of Electrical Engineering and Computer Science, MIT)
• Michael David Rinehart (BAE Systems)

Intellectual Property:

U.S. Patent Application Serial Number 13/176972, filed July 6, 2011

U.S. Patent Application Serial Number 13/157533, filed June 10, 2011

Publications:

N/A

Please contact: Christopher R. Noble MIT Technology Licensing Officer 1 Cambridge Center, Kendall Square, NE18-501 Cambridge, Massachusetts 02142-1601

Email: crn@mit.edu Tel: 617-253-6966 Fax: 617–258-6790 Website: http://tlo.mit.edu