Adaptive system and method for optimizing a fleet of plug-in vehicles

• US 10,099,569 B2
• Filed: 09/29/2016
• Issued: 10/16/2018
• Est. Priority Date: 09/29/2016
• Status: Active Grant

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: GM Global Technology Operations LLC (General Motors Company)
• Inventors: Lindemann, Todd P., Cory, Danielle A., White, Rachel A., Denic, Vukasin, Kalweit, Nicholas J., Gorski, Eric F.
• Primary Examiner(s): Badii, Behrang
• Assistant Examiner(s): Testardi, David A
• Application Number:
  US15/279,571
• Publication Number:
  US 20180086223A1
• Time in Patent Office: 747 Days
• CPC Class Codes: B60L 2240/72 Charging station selection relying on external data
• CPC Class Codes: B60L 58/13 Maintaining the SoC within a determined range
• CPC Class Codes: B60L 58/15 Preventing overcharging
• CPC Class Codes: B60L 58/21 having the same nominal voltage
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G05D 1/0027 involving a plurality of vehicles, e.g. fleet or convoy travelling fleet control of land vehicles from a control room G05D1/0297; traffic control systems for road vehicles G08G1/00; for marine craft G08G3/00; for aircraft G08G5/00
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching
• 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 10/72 Electric energy management in electromobility
• CPC Class Codes: Y02T 90/12 Electric charging stations
• CPC Class Codes: Y02T 90/14 Plug-in electric vehicles
• CPC Class Codes: Y02T 90/16 Information or communication technologies improving the operation of electric vehicles

Abstract

A system and method for optimizing a plug-in vehicle fleet having a plurality of battery packs across the vehicle fleet. Each vehicle includes a battery pack. The system includes sensors for measuring battery performance data and includes an open-circuit voltage, charging current, and/or temperature of the battery pack, a GPS receiver, a user interface, and a controller. The controller executes a method to monitor degradation of each battery pack using a variety of current and historical data points. The controller then controls a charging operation of each battery pack in a fleet via a charging control signal sent to a particular vehicle in the fleet. The controller also then determines the new location for each particular vehicle in a fleet.

Claims

1. A system for optimizing life of a plurality of battery packs in a fleet vehicle, the system comprising:

a battery sensor on a fleet vehicle operatively configured to measure performance data of a vehicle battery in the fleet vehicle;

a global positioning system (GPS) receiver operable for determining a position of the fleet vehicle;

a controller in communication with the battery sensor and the GPS receiver, wherein the controller is further programmed to;

determine a battery charging history and a driving history for the fleet vehicle using the measured battery performance data and a position signal from the GPS receiver, wherein the driving history and the battery charging history identify the days, hours, and locations at which the vehicle was driven;

obtain a state-of-charge for the vehicle battery;

determine a system need for the fleet vehicle via an adaptive learning module;

transmit an output signal to at least one of the fleet vehicle and a charging station associated with the fleet vehicle, the output signal being one of a high output signal, a medium output signal, a low output signal, or a chargeback output signal;

automatically control a charging operation of the vehicle battery in the fleet vehicle based on the output signal; and

direct the fleet vehicle to a new location based on the output signal.

2. The system of claim 1 wherein the new location for the fleet vehicle is a parking lot when the output signal is the chargeback signal.

3. The system of claim 1 wherein the new location for the fleet vehicle is an open ride retrieval location for long travel distances when the output signal is the high output signal.

4. The system of claim 1 wherein the new location for the fleet vehicle is an open ride retrieval location for short travel distances when the output signal is the low output signal.

5. The system of claim 1 wherein the new location for the fleet vehicle is an open ride retrieval location for medium travel distances when the output signal is the medium output signal.

6. A method for optimizing life of a plurality of battery packs in a plug-in vehicle fleet, the method comprising:

measuring battery performance data battery pack of a fleet vehicle via a plurality of sensors in the fleet vehicle, including measuring an open-circuit voltage of the battery pack;

determining a position of the fleet vehicle using a global positioning system (GPS) receiver;

monitoring the degradation of the battery pack of the fleet vehicle over time via a controller using the measured battery performance data;

determining a driving history and a battery charging history for the fleet vehicle using the measured battery performance data and a position signal from the GPS receiver, wherein the driving history and battery charging history identify the days, hours, and locations for the fleet vehicle;

determining a system need for the fleet vehicle based on a regional data input, the driving history and the battery charging history for the fleet vehicle via an adaptive learning module;

transmitting an output signal responsive to the system need;

automatically controlling a charging operation of a battery pack for the plug in the vehicle via the controller based on the output signal; and

stationing the fleet vehicle to a new location based on the output signal.

7. The method of claim 6, wherein the plurality of sensors includes a current sensor operable for detecting the charging current and a temperature sensor operable for measuring a temperature of the battery pack, and wherein measuring the battery performance data includes measuring the charging current and the temperature.

8. The method of claim 6, wherein the step of stationing the fleet vehicle to a new location includes directing the fleet vehicle to a parking lot when the output signal to the fleet vehicle is a chargeback signal.

9. The method of claim 6, wherein the step of stationing the fleet vehicle to a new location includes directing the fleet vehicle to an open ride retrieval location for long travel distances when the output signal to the fleet vehicle is a high output signal.

10. The method of claim 6, wherein the step of stationing the fleet vehicle to a new location includes directing the fleet vehicle to an open ride retrieval location for short travel distances when the output signal to the fleet vehicle is a low output signal.

11. The method of claim 6, wherein the step of stationing the fleet vehicle to a new location includes directing the fleet vehicle to an open ride retrieval location for medium travel distances when the output signal to the fleet vehicle is a medium output signal.

12. The method of claim 6, wherein the step of automatically controlling a charging operation of the battery pack includes adjusting the SOC for the battery pack to a high SOC when the output signal is a high output signal.

13. The method of claim 6, wherein the step of automatically controlling a charging operation of the battery pack includes adjusting the SOC for the battery pack to a low SOC when the output signal is a low output signal.

14. The method of claim 6, wherein the step of automatically controlling a charging operation of the battery pack includes adjusting the SOC for the battery pack to a medium SOC when the output signal is a medium output signal.