Case 15450/15451

Optimizing fuel efficiency for HEV by path forecast and RHC algorithm


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


Improving Hybrid Electric Vehicle fuel efficiency by path forecasting


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


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.

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

  • 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



Last revised: October 26, 2012

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