Method and Apparatus for Predicting Electric Vehicle Energy Consumption

• US 20150158397A1
• Filed: 12/05/2013
• Published: 06/11/2015
• Est. Priority Date: 12/05/2013
• Status: Abandoned Application

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Gusikhin, Oleg Yurievitch, MacNeille, Perry Robinson, Brigham, David Richens, Tsou, Poyu, Jennings, Mark John, Soto, Ciro Angel, Rapolu, Sujith, Meng, Yan
• Application Number:
  US14/097,334
• Publication Number:
  US 20150158397A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60L 15/2009 for braking
• CPC Class Codes: B60L 15/2045 for optimising the use of energy
• CPC Class Codes: B60L 2240/12 Speed
• CPC Class Codes: B60L 2240/14 Acceleration
• CPC Class Codes: B60L 2240/421 Speed
• CPC Class Codes: B60L 2240/423 Torque
• CPC Class Codes: B60L 2240/622 by satellite navigation
• CPC Class Codes: B60L 2240/642 Slope of road
• CPC Class Codes: B60L 2240/645 Type of road
• CPC Class Codes: B60L 2240/647 Surface situation of road, e.g. type of paving
• CPC Class Codes: B60L 2250/16 by display
• CPC Class Codes: B60L 2260/54 Energy consumption estimation
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 7/12 for vehicles propelled by dc motors
• CPC Class Codes: Y02T 10/64 Electric machine technologies in electromobility
• 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 90/16 Information or communication technologies improving the operation of electric vehicles
• CPC Class Codes: Y10S 903/903 having energy storing means, e.g. battery, capacitor

Abstract

A system includes one or more processors configured to receive a route and receive power-usage-affecting variables. The processor(s) are further configured to break the route into a number of segments. For each segment, the processors are configured to lookup a predetermined power usage estimate, based on the received variables. Also, the processors are configured to present total estimated power usage over the route based on accumulated power usage estimates for each segment.

Claims

1. A system comprising:

one or more processors configured to;

receive a route;

receive power-usage-affecting variables and corresponding current and projected values;

break the route into segments;

for each segment, lookup, based on received variable values, a predetermined power usage estimate, predetermined and updated based on crowd-sourced data received corresponding to the same variables having similar values; and

present total estimated power usage over the route based on accumulated power usage estimates for each segment.

2. The system of claim 1, wherein the power-usage-affecting variables include vehicle weight estimates.

3. The system of claim 2, wherein the vehicle weight includes passenger weight estimates.

4. The system of claim 1, wherein the power-usage-affecting variables include speed estimates.

5. The system of claim 1, wherein the power-usage-affecting variables include vehicle accessory usage estimates.

6. The system of claim 1, wherein the power-usage-affecting variables include road grade estimates.

7. The system of claim 1, wherein the power-usage-affecting variables include acceleration estimates.

8. A computer-implemented method comprising:

receiving a route;

receiving power-usage-affecting variables and corresponding current and projected values;

breaking the route into a number of segments, via a vehicle-associated computing system (VACS);

for each segment, looking up, based on received variable values, a predetermined power usage estimate, predetermined and updated based on crowd-sourced data received corresponding to the same variables having similar values; and

presenting total estimated power usage over the route based on accumulated power usage estimates for each segment.

9. The method of claim 8, wherein the power-usage-affecting variables include vehicle weight estimates.

10. The method of claim 9, wherein the vehicle weight includes passenger weight estimates.

11. The method of claim 8, wherein the power-usage-affecting variables include speed estimates.

12. The method of claim 8, wherein the power-usage-affecting variables include vehicle accessory usage estimates.

13. The method of claim 8, wherein the power-usage-affecting variables include road grade estimates.

14. The method of claim 8, wherein the power-usage-affecting variables include acceleration estimates.

15. A non-transitory computer readable storage medium, storing instructions that, when executed by a processor, cause the processor to perform a method comprising:

receiving a route;

receiving power-usage-affecting variables and corresponding current and projected values;

breaking the route into a number of segments, via a vehicle-associated computing system (VACS);

for each segment, looking up, based on received variable values, a predetermined power usage estimate, predetermined and updated based on crowd-sourced data received corresponding to the same variables having similar values; and

presenting total estimated power usage over the route based on accumulated power usage estimates for each segment.

16. The storage medium of claim 15, wherein the power-usage-affecting variables include vehicle weight estimates.

17. The storage medium of claim 15, wherein the power-usage-affecting variables include speed estimates.

18. The storage medium of claim 15, wherein the power-usage-affecting variables include vehicle accessory usage estimates.

19. The storage medium of claim 15, wherein the power-usage-affecting variables include road grade estimates.

20. The storage medium of claim 15, wherein the power-usage-affecting variables include acceleration estimates.