Optimizing Fuel Efficiency for HEV by Path Forecast and RHC Algorithm


Applications for this technology are found in 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