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SELF-LEARNING CONTROL SYSTEM FOR PLUG-IN HYBRID VEHICLES

  • US 20090114463A1
  • Filed: 06/12/2008
  • Published: 05/07/2009
  • Est. Priority Date: 06/12/2007
  • Status: Active Grant
First Claim
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1. A system for optimizing rechargeable energy storage device depletion comprising:

  • a plug-in hybrid electric vehicle having an electric motor, a consumable fuel powered means, and a rechargeable energy storage device to power the electric motor, wherein the rechargeable energy storage device is configured to be recharged from a recharging station or the consumable fuel powered means, the rechargeable energy storage device having a minimum state of charge (SOC); and

    a controller comprising a computer configured to receive data inputs and provide outputs, the controller configured to define an orientation point representative of a geographic location of the recharging station, to determine a current location of the vehicle, to calculate a straight-line distance between the current location of the vehicle and the orientation point, and to monitor a state of charge (SOC) of the rechargeable energy storage device;

    the controller is further configured to determine an optimal rechargeable energy storage device depletion strategy based on the straight-line distance to substantially sustain the monitored state of charge (SOC) when the straight-line distance is increasing, and to selectively deplete the rechargeable energy storage device to reach about the minimum state of charge (SOC) as the straight-line distance approaches about zero; and

    the controller is further configured to generate the outputs to implement the optimal rechargeable energy storage device depletion strategy.

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