Optimizing Fuel Efficiency for HEV by Path Forecast and RHC Algorithm

Technology #15450-15451

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Electric vehicle battery consumption control using route predictive algorithm
Professor Munther Dahleh
Department of Electrical Engineering and Computer Science, MIT
External Link (lids.mit.edu)
Georgia-Evanglina Katsargyri
Department of Electrical Engineering and Computer Science, MIT
Michael Rinehart
BAE Systems
Ilya Kolmanovsky
Ford Motor Company
Ming Kuang
Anthony Phillips
Jon Michelini
Managed By
Christopher Noble
MIT Technology Licensing Officer - Clean and Renewable Energy
Patent Protection

Hybrid electric vehicle and method of control using path forecasting

US Patent Pending US 2012-0010767

Hybrid electric vehicle and method of path dependent receding horizon control

US Patent 8,612,077

Electric Vehicle and Method of Battery Set-Point Control

US Patent 9,545,915


Improving Hybrid Electric Vehicle fuel efficiency by path forecasting

Problem Addressed

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


This invention minimizes hybrid vehicle fuel consumption over a pre-planned or predicted route.  It does this by utilizing a receding horizon control (RHC) algorithm in combination with a novel approach of route decomposition and control of battery charging and discharging when the vehicle decelerates/accelerates. 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