System and method of estimating available driving distance
A vehicle includes a powertrain having a battery-powered electric machine. The vehicle also includes a controller programmed to display, on a geographical map, at least one contour line indicating an available driving distance from a current location. The distance of the contour line from the current location is based on energy stored within the battery and predicted energy consumption due to driving along each of a plurality of possible routes originating from the current location. The predicted energy consumption is updated based on energy depletion events that occur during driving.
1. A vehicle system comprising:
a vehicle controller programmed to:
generate route endpoints from predicted energy consumption rates such that predicted energy consumptions are different for same length routes,
display a first contour line connecting endpoints having higher certainty and a second contour line connecting endpoints having lower certainty to indicate achievable variable certainty driving ranges, and
mask areas radially outside the second contour line to obscure unachievable driving ranges and prevent driver distraction.
2. The vehicle system of claim 1 wherein the first contour line comprises an inner high confidence line representing at least about 99 percent confidence that energy stored within a battery is sufficient to propel a vehicle to geographic destinations within the high confidence line.
3. The vehicle system of claim 1 wherein the second contour line comprises an outer low confidence band representing from about 80 percent to about 90 percent confidence that substantially all energy stored within a battery is depleted prior to a vehicle arriving at geographic destinations outside of the low confidence band.
4. The vehicle system of claim 1 wherein the predicted energy consumption rates are based on energy depletion events that include a change in a predicted velocity profile.
5. The vehicle system of claim 1 wherein the predicted energy consumption rates are based on energy depletion events that include an aerodynamic drag status based on data communicated from external sources.
6. The vehicle system of claim 1 wherein the predicted energy consumption rates are based on energy depletion events that include a weather status based on air density, wind speed, wind direction, precipitation, or ambient temperature.
7. The vehicle system of claim 1 wherein the predicted energy consumption rates are based on energy depletion events that include a curb weight status based on vehicle mass, passenger mass, and cargo mass.
8. A method of estimating a vehicle driving distance comprising:
by a vehicle controller,
generating route endpoints from predicted energy consumption rates such that predicted energy consumptions are different for same length routes,
displaying a first contour line connecting endpoints having higher certainty, and a second contour line connecting endpoints having lower certainty to indicate achievable variable certainty driving ranges, and
masking areas radially outside the second contour line to obscure unachievable driving ranges and preventing driver distraction.
9. The method of claim 8 , wherein the first contour line comprises an inner high confidence line representing at least about 99 percent confidence that energy stored within a battery is sufficient to propel a vehicle to geographic destinations within the high confidence line.
10. The method of claim 8 wherein the second contour line comprises an outer low confidence band representing from about 80 percent to about 90 percent confidence that substantially all energy stored within a battery is depleted prior to a vehicle arriving at geographic destinations outside of the low confidence band.
11. The method of claim 8 wherein the predicted energy consumption rates are based on energy depletion events that include a change in a predicted velocity profile.
12. The method of claim 8 wherein the predicted energy consumption rates are based on energy depletion events that include an aerodynamic drag status based on data communicated from external sources.