Method, system, and vehicle for preparing an energy forecast and determining an optimized driving behavior with respect to the energy forecast
A driver assistance method for a vehicle includes the steps of establishing an energy prediction for a route on the basis of an anticipated driver behavior, determining a driving behavior which is optimized with regard to the energy prediction, and outputting an action recommendation on the basis of the optimized driving behavior.
1. A driver assistance method for a vehicle, comprising:
preparing an energy forecast for a route on the basis of an anticipated driver behavior, which relates to a prediction of a behavior of a specific driver;
determining an optimized driving behavior with respect to the energy forecast and the associated time requirement, wherein the optimized driving behavior is determined by identifying a first position of the behavior of the specific driver within a probability distribution of a fleet dynamic of a plurality of vehicles based on the anticipated driver behavior, and identifying a second position within the probability distribution of the fleet dynamic of the plurality of vehicles to which to move the behavior of the specific driver; and
outputting a recommendation for action on the basis of the optimized driving behavior, wherein the recommendation for action corresponds to the fleet dynamic at the second position within the probability distribution of the fleet dynamic of the plurality of vehicles.
2. The driver assistance method according to claim 1 , wherein
a parameter is determined as the optimized driving behavior, wherein the parameter influences a driving style and/or a routing.
3. The driver assistance method according to claim 1 , wherein
costs and/or traveling time are taken into account for determining the optimized driving behavior with an aim of avoiding charging stops.
4. The driver assistance method according to claim 1 , wherein
the anticipated driver behavior is derived from a learned driver model.
5. The driver assistance method according to claim 1 , further comprising:
determining one or more vehicle parameters of the vehicle for the determination of the energy forecast and/or the optimized driving behavior.
6. The driver assistance method according to claim 1 , wherein
the route comprises a number of sections, and
the energy forecast and the optimized driving behavior are determined on the basis of energy forecasts or optimized energy consumptions of the individual sections and their route characteristics.
7. The driver assistance method according to claim 6 , wherein
the route is a route between a current location of the vehicle and a destination of the vehicle.
8. The driver assistance method according to claim 1 , wherein
the recommendation for action is output to the driver, or
the recommendation for action is output to a device of the vehicle that is designed for an automatic or partially automatic driving mode of the vehicle.
9. The driver assistance method according to claim 1 , wherein
the recommendation for action is output when at least one of: it is determined that a situation in a surrounding environment of the vehicle has changed, and an actual energy consumption deviates from the energy forecast; and
the recommendation for action is selected from the group comprising: a cruising speed, an acceleration, an alternative route, a changed vehicle operating strategy, and any combination thereof.
10. The driver assistance method according to claim 9 , wherein
the changed situation is a traffic situation.
11. The driver assistance method according to claim 1 , wherein
the driver assistance method is performed completely by the vehicle or a server outside the vehicle, or
the driver assistance method is performed partially by the vehicle and partially on a server outside the vehicle.
12. A driver assistance system, comprising:
a controller, which is configured for:
preparing an energy forecast for a route on the basis of an anticipated driver behavior, which relates to a prediction of a behavior of a specific driver, and
determining an optimized driving behavior with respect to the energy forecast and a time requirement, wherein the optimized driving behavior is determined by identifying a first position of the behavior of the specific driver within a probability distribution of a fleet dynamic of a plurality of vehicles based on the anticipated driver behavior, and identifying a second position within the probability distribution of the fleet dynamic of the plurality of vehicles to which to move the behavior of the specific driver; and
an output unit for outputting a recommendation for action on the basis of the optimized driving behavior, wherein the recommendation for action responds to the fleet dynamic at the second position within the probability distribution of the fleet dynamic of the plurality of vehicles.
13. A vehicle comprising the driver assistance system according to claim 12 .
14. The vehicle according to claim 13 , wherein the vehicle is an electric or hybrid vehicle.