Distance to empty prediction with short term distance compensation

• US 9,561,804 B2
• Filed: 06/19/2014
• Issued: 02/07/2017
• Est. Priority Date: 06/19/2014
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Meyer, Jason, Sangameswaran, Sangeetha
• Primary Examiner(s): SMITH, ISAAC G
• Application Number:
  US14/309,006
• Publication Number:
  US 20150367856A1
• Time in Patent Office: 964 Days
• Field of Search: 701/29.1, 701/123, 123/339.16
• US Class Current: 1/1
• CPC Class Codes: B60K 6/48 Parallel type
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: B60W 2510/107 Temperature
• CPC Class Codes: B60W 40/12 related to parameters of the vehicle itself , e.g. tyre models
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
• CPC Class Codes: Y02T 10/62 Hybrid vehicles
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries
• CPC Class Codes: Y02T 10/7072 Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
• 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 vehicle is provided which may include an energy conversion device, an energy source to supply power to the energy conversion device, and at least one controller in communication with an interface. The controller may be programmed to output a distance to empty (DTE) to the interface based on conditions of vehicle components and the energy source compensated by a distance correction factor. The controller may further include a DTE prediction architecture including a feed-forward energy consumption estimator, an energy consumption learning filter, a distance compensator, and a DTE calculator. A method for estimating distance to empty for a vehicle is also provided which may output a DTE modified by a predicted DTE range loss selected to include a distance correction factor corresponding to and correcting for the noise factor.

Claims

1. A method for estimating distance to empty (DTE) for a vehicle comprising:

in response to detecting a noise factor affecting propulsive energy consumption during vehicle start, outputting by a controller a DTE modified by a predicted DTE range loss selected to include a distance correction factor decremented based on a distance driven by the vehicle and a ratio of the predicted DTE range loss to a predicted duration of the noise factor.

2. The method of claim 1, wherein the DTE is based on a nominal DTE modified by an amount of energy available in an energy source of the vehicle and a nominal energy consumption rate.

3. The method of claim 2, wherein the nominal energy consumption rate is based on a current energy consumption rate, historical energy consumption, and a predicted change in energy consumption rate due to the noise factor.

4. The method of claim 3, wherein the noise factor is an amount of energy consumption due to an increased viscosity of oil at a temperature less than approximately sixty degrees Fahrenheit.

5. The method of claim 1, wherein the distance correction factor is a remaining portion of the predicted DTE range loss which corresponds to an estimated remaining duration of the noise factor.

6. The method of claim 1, wherein the predicted duration expires before the vehicle travels ten kilometers.

7. A vehicle comprising:

an energy conversion device;

an energy source to supply power to the energy conversion device; and

at least one controller in communication with an interface and programmed to, in response to detecting a noise factor affecting propulsive energy consumption of the vehicle during vehicle start, output a distance to empty (DTE) to the interface based on conditions of vehicle components and the energy source compensated by a distance correction factor applied for a distance not exceeding a predicted noise factor distance, decremented based on a distance driven by the vehicle and a ratio of a predicted DTE range loss and a predicted duration of the noise factor.

8. The vehicle of claim 7, wherein the controller further comprises a DTE prediction architecture including a feed-forward energy consumption estimator, an energy consumption learning filter, a distance compensator, and a DTE calculator.

9. The vehicle of claim 7, wherein the DTE is modified by a nominal DTE based on a nominal energy consumption rate of the vehicle.

10. The vehicle of claim 9, wherein the nominal energy consumption rate is based on a current energy consumption rate, historical energy consumption, and a predicted change in energy consumption rate due to the noise factor.

11. The vehicle of claim 7, wherein the noise factor is energy consumption due to a viscosity of oil at a temperature below approximately sixty degrees Fahrenheit as measured by a sensor.

12. The vehicle of claim 7, wherein the noise factor is an amount of energy consumption due to additional energy required to heat up a catalytic converter to a predetermined temperature.

13. The vehicle of claim 7, wherein the energy source is a fuel tank or a HV battery pack.

14. A vehicle traction battery system comprising:

one or more vehicle components;

a traction battery pack in communication with the vehicle components;

one or more sensors to monitor the vehicle components and pack; and

a controller configured to receive input from the sensors, to detect one or more noise factors affecting propulsive energy consumption due to vehicle start based on the input, and to output a distance to empty (DTE) modified by a distance correction factor derived from the input and applied for a duration less than a predicted noise factor distance, decremented based on a distance driven by the vehicle and a ratio of a predicted DTE range loss and a predicted duration of the noise factor.

15. The system of claim 14, wherein the controller further comprises a DTE prediction architecture including a feed-forward energy consumption estimator, an energy consumption learning filter, a distance compensator, and a DTE calculator.

16. The system of claim 14, wherein the distance correction factor is a remaining portion of a predicted DTE range loss corresponding to an estimated remaining duration of the noise factor.

17. The system of claim 14, wherein the DTE is modified by a nominal DTE based on a nominal energy consumption rate.

18. The system of claim 17, wherein the nominal energy consumption rate is based on a current energy consumption rate, historical energy consumption, and a predicted change in energy consumption rate due to the noise factor.