Method and device for determining a prediction quality for a predicted energy consumption of a motor vehicle

• US 9,150,222 B2
• Filed: 02/23/2013
• Issued: 10/06/2015
• Est. Priority Date: 03/02/2012
• Status: Active Grant

• Current Assignee: Audi AG (Volkswagen AG)
• Original Assignee: Audi AG (Volkswagen AG)
• Inventors: Papajewski, Jens, Hamacher, Michael, Mussner, Helena
• Primary Examiner(s): Shah, Kamini S.
• Assistant Examiner(s): Hann, Jay B
• Application Number:
  US14/382,504
• Publication Number:
  US 20150046132A1
• Time in Patent Office: 955 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: B60W 2050/0005 Processor details or data handling, e.g. memory registers or chip architecture
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2552/05 Type of road, e.g. motorways, local streets, paved or unpaved roads
• CPC Class Codes: B60W 2552/15 Road slope, i.e. the inclination of a road segment in the longitudinal direction
• CPC Class Codes: B60W 2552/25 Road altitude
• CPC Class Codes: B60W 2555/40 Altitude
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 40/105 Speed
• CPC Class Codes: B60W 40/107 Longitudinal acceleration
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: Y02T 10/84 Data processing systems or methods, management, administration

Abstract

A method and a device determine a prediction quality for a predicted energy consumption of a motor vehicle. By determining a prediction quality, a tolerance band is calculated in addition to the predicted driving profile. The prediction quality provides a statement about the entire route as to whether a driver remains in a tolerance band that is based on stochastic evaluation and is naturally occurring. As long as the driver remains in the predicted tolerance band of the driving profile during the real drive, no re-calculation or change of the operating strategy is necessary. Fuel consumption is minimized using the predictive operating strategy on the specified distance.

Claims

1. A method for determining a prediction quality about a predicted energy consumption of a motor vehicle, the method comprising:

defining a plurality of maneuvers for the vehicle, each maneuver having an associated input speed and an associated output speed;

repeatedly performing each maneuver by a driver of the vehicle to obtain a plurality of speed values or a plurality of change of speed values, each speed value representing an average vehicle speed during a performance of the maneuver, each change of speed value representing an average change of speed during a performance of the maneuver;

for each maneuver, obtaining an average value by averaging the plurality of speed values or the plurality of change of speed values;

for each maneuver, continuing to repeatedly perform the maneuver until a statistically meaningful average value for speed or change of speed is obtained;

for each maneuver, computing a tolerance range for the speed value or the change of speed value, the tolerance range being defined by a maximum expected average speed or acceleration during the maneuver and by a minimum expected average speed or acceleration during the maneuver;

selecting a chosen route from a plurality of predetermined routes defined in a data record, each predetermined route having a plurality of route segments;

assigning a maneuver to each segment of the chosen route such that a plurality of maneuvers are assigned to the chosen route;

predicting energy consumption for the chosen route by adding, for each maneuver assigned to the chosen route, a predicted energy consumption of the vehicle determined using a respective statistically meaningful average value for speed or change of speed; and

computing a tolerance band for energy consumption, the tolerance band being defined by a maximum and a minimum expected energy consumption, the maximum expected energy consumption being determined by adding, for each maneuver assigned to the chosen route, a predicted energy consumption of the vehicle determined using the maximum expected average speed or acceleration, the minimum expected energy consumption being determined by adding, for each maneuver assigned to the chosen route, a predicted energy consumption of the vehicle determined using the minimum expected average speed or acceleration, wherein deviations within and/or between different maneuvers are compensated by using the formula for the Gaussian error propagation.

2. The method as claimed in claim 1, wherein

the plurality of speed or change of speed values, the statistically meaningful average value and the tolerance range for each maneuver are stored in a first data record, and

the plurality of predetermined routes are defined in a second data record.

3. The method as claimed in claim 1, wherein

the statistically meaningful average value and the tolerance range for each maneuver are stored in a first data record, and

the plurality of predetermined routes are defined in a second data record.

4. The method as claimed in claim 1, wherein the statistically meaningful average value and the tolerance range are recalculated if the vehicle has an actual energy consumption that falls outside the tolerance band.

5. The method as claimed in claim 1, wherein a recalculation of the statistically meaningful average value and the tolerance range is performed only if the vehicle has an actual energy consumption that falls outside the tolerance band.

6. The method as claimed in claim 3, wherein

the first and second data records are stored in a memory of the vehicle,

the chosen route is selected with a control device in the vehicle, and

a data processing device of the vehicle is used to obtain the statistically meaningful average value, to compute the tolerance range, to assign a maneuver to each segment of the chosen route, to predict energy consumption and to compute the tolerance band for energy consumption.

7. The method as claimed in claim 6, wherein

the statistically meaningful average value and the tolerance range are recalculated if the vehicle has an actual energy consumption that falls outside the tolerance band, and

the data processing device of the vehicle is used to recalculate the statistically meaningful average value and the tolerance range.

8. The method as claimed in claim 5, wherein a data processing device of the vehicle is used to recalculate the statistically meaningful average value and the tolerance range.

9. The method as claimed in claim 1, wherein

the plurality of predetermined routes are defined in the data record such that such that each predetermined route has associated information about type of road along the route, and

the information about type of road is used in assigning maneuvers to route segments.

10. The method as claimed in claim 1, wherein

the plurality of predetermined routes are defined in the data record such that each segment of the route has associated information about altitude of the segment, and

the information about altitude is used in assigning maneuvers to route segments.

11. The method as claimed in claim 1, wherein

for each maneuver, after the statistically meaningful average value is obtained, the method stops obtaining the speed values or change of speed values and stops obtaining the average value.

12. A device for a vehicle, comprising:

a memory to store;

a plurality of maneuvers for a vehicle, each maneuver having an associated input speed and an associated output speed; and

a plurality of predetermined routes defined in a data record, each predetermined route having a plurality of route segments;

a control device to select a chosen route from the plurality of predetermined routes;

a data processing device to;

obtain, for each maneuver, an average value for speed or change of speed, the average value being obtained by averaging a plurality of speed values or a plurality of change of speed values, each speed value representing an average vehicle speed during a performance of the maneuver by a driver of the vehicle, each change of speed value representing an average change of speed during a performance of the maneuver by the driver;

continually average the plurality of speed values or the plurality of change of speed values for each maneuver until a statistically meaningful average value for speed or change of speed is obtained, the statistically meaningful average value being stored in the memory for each maneuver;

compute a tolerance range for the speed value or the change of speed value, the tolerance range being defined by a maximum expected average speed or acceleration during the maneuver and by a minimum expected average speed or acceleration during the maneuver, the tolerance range of each maneuver being stored in the memory;

assign a maneuver to each segment of the chosen route;

predict energy consumption for the chosen route by adding, for each maneuver assigned to the chosen route, a predicted energy consumption of the vehicle determined using a respective statistically meaningful average value for speed or change of speed; and

compute a tolerance band for energy consumption, the tolerance band being defined by a maximum and a minimum expected energy consumption, the maximum expected energy consumption being determined by adding, for each maneuver assigned to the chosen route, a predicted energy consumption of the vehicle determined using the maximum expected average speed or acceleration, the minimum expected energy consumption being determined by adding, for each maneuver assigned to the chosen route, a predicted energy consumption of the vehicle determined using the minimum expected average speed or acceleration, wherein deviations within and/or between different maneuver classes are compensated by using the formula for Gaussian error propagation.

13. The device as claimed in claim 12, wherein the data processing device recalculates the statistically meaningful average value and the tolerance range if the vehicle has an actual energy consumption that falls outside the tolerance band.

14. The device as claimed in claim 12, wherein the data processing device recalculates the statistically meaningful average value and the tolerance range only if the vehicle has an actual energy consumption that falls outside the tolerance band.

15. The device as claimed in claim 12, wherein

the plurality of predetermined routes are defined in the data record stored in the memory such that such that each predetermined route has associated information about type of road along the route, and

the data processing device uses the information about type of road in assigning maneuvers to route segments.

16. The device as claimed in claim 12, wherein

the plurality of predetermined routes are defined in the data record stored in the memory such that such that each segment of the route has associated information about altitude of segment, and

the data processing device uses the information about altitude in assigning maneuvers to route segments.