System and method for a purchase advisor for preowned battery electric vehicles (BEVs)

Patent metadata

Field	Value
Publication number	US-11922737-B2
Application number	US-202117540930-A
Country	US
Kind code	B2
Filing date	Dec 2, 2021
Priority date	Dec 2, 2021
Publication date	Mar 5, 2024
Grant date	Mar 5, 2024

Abstract

The disclosure is generally directed to systems and methods for battery life cycle prediction for a preowned electrified vehicle including receiving state of charge (SOC) and mileage data associated with the preowned electrified vehicle, providing one or more driving maneuvers to be performed by a driver, providing one or more instructions to the driver to operate power-driven accessories of the preowned electrified vehicle, collecting data representing battery usage by the driver by monitoring the driving maneuvers and the operation of power-driven accessories as performed by the driver, and responsive to the collected data representing battery usage and the SOC and mileage, providing a battery life prediction for the preowned electrified vehicle.

First claim

That which is claimed is:

1. A method for battery life cycle prediction for an electrified vehicle, comprising:
receiving state of charge (SOC) and mileage data associated with the electrified vehicle;
providing one or more driving maneuvers to be performed by a driver;
providing one or more instructions to the driver to operate power-driven accessories of the electrified vehicle;
collecting data representing battery usage by monitoring the driving maneuvers and operation of power-driven accessories as performed by the driver; and
responsive to the collected data representing battery usage, the SOC and mileage data, providing a battery life prediction for the electrified vehicle.

2. The method of claim 1 , wherein the receiving SOC and mileage data associated with the electrified vehicle further comprises:
scanning a matrix bar code, quick response (QR) code, or barcode to obtain vehicle identification number (VIN) historical data.

3. The method of claim 1 , further comprising:
receiving data associated with prior driving habits of the driver; and
providing the one or more driving maneuvers to simulate the prior driving habits of the driver of the electrified vehicle.

4. The method of claim 3 , wherein the receiving data associated with prior driving habits of the driver further comprises:
receiving data from a database associated with a vehicle driven by the driver.

5. The method of claim 1 , further comprising:
providing the battery life prediction as adjusted further based on future intended use of the electrified vehicle including one or more of towing, heavy payload use, bi-directional uses, power intensive environmental use, and jobsite specific use.

6. The method of claim 1 , wherein the collecting data representing battery usage by the driver by monitoring the driving maneuvers and operation of power-driven accessories as performed by the driver further comprises:
collecting at least two sets of data during a cycle test drive of the electrified vehicle.

7. The method of claim 6 , wherein the collecting at least two sets of data during the cycle test drive includes collecting a plurality of data over a period of days.

8. The method of claim 1 , wherein providing the battery life prediction for the electrified vehicle further comprises:
receiving data collected from one or more prior test drives of the electrified vehicle, the one or more prior test drives at a plurality of battery life cycle stages; and
providing the battery life prediction based on at least the collected data from the one or more prior test drives.

9. The method of claim 1 , wherein the providing the battery life prediction for the electrified vehicle further comprises:
providing a model battery life including alternative predictions based on modified driving behaviors.

10. The method of claim 1 , further comprising:
receiving input indicative of a willingness of the driver to modify driving behaviors to extend battery life of the electrified vehicle;
receiving a battery life goal based on the received input; and
providing one or more alerts based on monitored driving behavior when a detected driving behavior will result in a failure to meet the battery life goal.

11. The method of claim 10 , further comprising:
providing a suggestion with the one or more alerts, the suggestion including one or more of avoiding full discharges, increase battery charging frequency, lowering a peak charge, avoiding a full charge, and reducing operating temperature.

12. A system for a mobile device, comprising:
a memory that stores computer-executable instructions; and
a processor configured to access the memory and execute the computer-executable instructions to:
receive state of charge (SOC) and mileage data associated with a preowned electrified vehicle;
provide one or more driving maneuvers to be performed by a driver;
provide one or more instructions to the driver to operate power-driven accessories of the preowned electrified vehicle;
collect data representing battery usage by the driver by monitoring the driving maneuvers and operation of power-driven accessories as performed by the driver; and
responsive to the collected data representing battery usage and the SOC and mileage, provide a battery life prediction for the preowned electrified vehicle.

13. The system of claim 12 , wherein the processor configured to access the memory and execute the computer-executable instructions is further configured to:
scan a matrix bar code, quick response (QR) code, or barcode to obtain vehicle identification number (VIN) historical data.

14. The system of claim 12 , wherein the processor configured to access the memory and execute the computer-executable instructions is further configured to:
receive data associated with prior driving habits of the driver; and
provide the one or more driving maneuvers to simulate the prior driving habits of the driver of the preowned electrified vehicle.

15. The system of claim 12 , wherein the processor configured to access the memory and execute the computer-executable instructions is further configured to:
provide the battery life prediction as adjusted further based on future intended use of the preowned electrified vehicle including one or more of towing, heavy payload use, bi-directional uses, power intensive environmental use, and jobsite specific use.

16. The system of claim 12 , wherein the processor configured to access the memory and execute the computer-executable instructions is further configured to:
receive data collected from one or more prior test drives of the preowned electrified vehicle, the one or more prior test drives at a plurality of battery life cycle stages; and
provide the battery life prediction based on at least the collected data from the one or more prior test drives.

17. The system of claim 12 , wherein the processor configured to access the memory and execute the computer-executable instructions is further configured to:
receive input indicative of a willingness of the driver to modify driving behaviors to extend battery life of the preowned electrified vehicle;
receive a battery life goal based on the received input; and
provide one or more alerts based on monitored driving behavior when a detected driving behavior will result in a failure to meet the battery life goal.

18. The system of claim 17 , wherein the processor configured to access the memory and execute the computer-executable instructions is further configured to:
provide a suggestion with the one or more alerts, the suggestion including one or more of avoiding full discharges, increase battery charging frequency, lowering a peak charge, avoiding a full charge, and reducing operating temperature.

19. A method for battery life cycle prediction and modification for an electrified vehicle comprising:
collecting data representing battery usage by a driver by monitoring one or more driving behaviors and operation of power-driven accessories as performed by the driver; and
responsive to the collected data representing battery usage, providing a battery life prediction for the electrified vehicle;
providing one or more alerts based on the monitored driving behavior when a detected driving behavior will result in a failure to meet a predetermined battery life goal; and
provide a suggestion with the one or more alerts, the suggestion including one or more of avoiding full discharges, increase battery charging frequency, lowering a peak charge, avoiding a full charge, and reducing operating temperatures.

Assignees

• Ford Global Tech Llc

Inventors

• Salter Stuart
• Buttolo Pietro
• Huebner Annette
• Kennedy David
• Berry Hussein

Classifications

• G07C5/04 Primary

  using counting means or digital clocks · CPC title

• B60L58/16

  responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH] · CPC title

• G06F30/20

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• G06Q30/0613 Primary

  using intermediate agents · CPC title

• G07C5/0816

  Indicating performance data, e.g. occurrence of a malfunction · CPC title