PREDICTING CONSUMPTION AND RANGE OF A VEHICLE BASED ON COLLECTED ROUTE ENERGY CONSUMPTION DATA

• US 20140214267A1
• Filed: 01/25/2013
• Published: 07/31/2014
• Est. Priority Date: 01/25/2013
• Status: Abandoned Application

• Current Assignee: Audi AG (Volkswagen AG), Volkswagen AG
• Original Assignee: Audi AG (Volkswagen AG), Volkswagen AG
• Inventors: SELLSCHOPP, Stefan
• Application Number:
  US13/749,787
• Publication Number:
  US 20140214267A1
• Time in Patent Office: Days
• US Class Current: 701/34.2
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/64 Road conditions
• CPC Class Codes: B60L 2240/66 Ambient conditions
• CPC Class Codes: B60L 2240/68 Traffic data
• CPC Class Codes: B60L 2240/70 Interactions with external data bases, e.g. traffic centres
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: B60W 10/08 including control of electric propulsion units, e.g. motors or generators
• CPC Class Codes: B60W 20/11 using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance utilising navigation and traffic information in the control strategy B60W20/12
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2552/20 Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2556/55 using telemetry
• CPC Class Codes: B60W 2556/65 Data transmitted between vehicles
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G06F 17/00 Digital computing or data processing equipment or methods, specially adapted for specific functions information retrieval, database structures or file system structures therefor G06F16/00
• CPC Class Codes: Y02T 10/70 : Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/72 : Electric energy management in electromobility
• CPC Class Codes: Y02T 10/84 : Data processing systems or methods, management, administration
• CPC Class Codes: Y02T 90/16 : Information or communication technologies improving the operation of electric vehicles

Abstract

A method for a vehicle, a vehicle and a server are described.

Claims

1. A processor-based method for a vehicle, comprising:

determining, in a processing system, an aggregated value of an energy consumption measurement for one or more other vehicles driving along a road section, and

predicting, in the processing system, an energy consumption of the vehicle required for driving along the road section based on the at least one measured energy consumption of the at least one other vehicle.

2. The processor-based method according to claim 1, the method further comprising:

determining a current state of operation of the vehicle,

wherein predicting the energy consumption of the vehicle comprises predicting the energy consumption of the vehicle required for driving along the road section based on the current state of operation.

3. The processor-based method according to claim 1, the method further comprising:

determining a road section information associated with structural properties of the road section,

wherein predicting the energy consumption of the vehicle comprises predicting the energy consumption of the vehicle required for driving along the road section based on the determined road section information.

4. The processor-based method according to claim 1, the method further comprising:

determining environmental conditions along the road section associated with at least one of current weather conditions and traffic conditions along the road section,

wherein predicting the energy consumption of the vehicle comprises predicting the energy consumption of the vehicle required for driving along the road section based on the determined environmental conditions.

5. The processor-based method according to claim 1, the method further comprising:

retrieving the aggregated value of energy consumption for the one or more other vehicles from a server,

measuring the energy consumption of the vehicle while the vehicle is driving along the road section, and

providing the measured energy consumption of the vehicle to the server.

6. The processor-based method according to claim 1, wherein the vehicle is an electric vehicle.

7. The processor-based method according to claim 1, comprising:

determining road sections of a planned route along which a driver of the vehicle is planning to drive,

for at least one road section of the planned route;

measuring at least one energy consumption of at least one other vehicle driving along the road section, and

predicting the energy consumption of the vehicle required for driving along the road sections based on the at least one measured energy consumption,

determining a current energy available in the vehicle, and

calculating a remaining driving range based on the current available energy and the predicted energy consumptions for the route sections of the planned route.

8. A vehicle, comprising:

a transmission unit to communicate with a server outside the vehicle, and

a processing unit to retrieve a predicted energy consumption required for driving along a road section from the server,

wherein the predicted energy consumption of the vehicle is predicted based on an aggregated value of an energy consumption measurement for one or more other vehicles driving along the road section.

9. The vehicle according to claim 8, wherein the processing unit is configured to determine a current state of operation of the vehicle, and configured to transmit the current state of operation to the server for predicting the energy consumption of the vehicle along the road section based on the determined current state of operation.

10. The vehicle according to claim 8, wherein the processing unit is configured to determine a current state of operation of the vehicle, and configured to predict the energy consumption of the vehicle along the road section based on the determined current state of operation.

11. The vehicle according to claim 8, wherein the processing unit is configured to measure the energy consumption of the vehicle while the vehicle is driving along the road section, and to provide the measured energy consumption of the vehicle to the server.

12. The vehicle according to claim 8, wherein the processing unit is configured to

determine road sections of a planned route along which a driver of the vehicle is planning to drive,

to retrieve for each road section from the server a predicted energy consumption required for driving along the corresponding road section,

to determine a current energy available in the vehicle, and

to calculate a remaining driving range of the vehicle based on the current available energy and the predicted energy consumptions for the route sections of the planned route.

13. A server, comprising:

a transmission unit to communicate with a plurality of first vehicles and a second vehicle, and

a processing unit to receive from the plurality of first vehicles an aggregated value of an energy consumption measurements driving along a road section, to predict an energy consumption of the second vehicle required for driving along the road section based on the aggregated value, and to provide the predicted energy consumption to the second vehicle.

14. The server according to claim 13, wherein the processing unit is configured to receive a current state of operation of the second vehicle from the second vehicle, and to predict the energy consumption of the second vehicle required for driving along the road section based on the received current state of operation.

15. The server according to claim 13, wherein the processing unit is configured to determine a road section information associated with structural properties of the road section, and to predict the energy consumption of the second vehicle required for driving along the road section based on the determined road section information.

16. The server according to claim 13, wherein the processing unit is configured to determine environmental conditions along the road section associated with at least one of current weather conditions and traffic conditions along the road section, and to predict the energy consumption of the second vehicle required.