Georgia-Evangelia Katsargyri

Learn More
The paper examines path-dependent control of Hybrid Electric Vehicles (HEVs). In this approach we seek to improve HEV fuel economy by optimizing charging and discharging of the vehicle battery depending on the forecasted vehicle route. The route is decomposed into a series connection of route segments with (partially) known properties. The dynamic(More)
Future Hybrid Electric Vehicles (HEVs) may use path-dependent operating policies to improve fuel economy. In our previous work, we developed a dynamic programming (DP) algorithm for prescribing the battery State of Charge (SoC) set-point, which in combination with a novel approach of route decomposition, has been shown to reduce fuel consumption over(More)
  • 1