Electric vehicle fleet charging system

• US 9,505,318 B2
• Filed: 05/25/2012
• Issued: 11/29/2016
• Est. Priority Date: 05/26/2011
• Status: Active Grant

• Current Assignee: Sierra Smart Systems, Llc
• Original Assignee: Sierra Smart Systems, Llc
• Inventors: Hendrix, Walter M., Hendrix, Scott B.
• Primary Examiner(s): Kan, Yuri
• Application Number:
  US13/481,572
• Publication Number:
  US 20120330494A1
• Time in Patent Office: 1,649 Days
• Field of Search: 701/29.3, 701/454, 701/31.4, 320/103, 320/109, 191/2, 429/34, 429/513, 307/10.1, 307/72, 307/31, 705/14.54, 700/291
• US Class Current: 1/1
• CPC Class Codes: B60L 2240/12 Speed
• CPC Class Codes: B60L 2250/20 by driver identification
• CPC Class Codes: B60L 53/305 Communication interfaces
• CPC Class Codes: B60L 53/31 Charging columns specially adapted for electric vehicles
• CPC Class Codes: B60L 53/60 Monitoring or controlling charging stations
• CPC Class Codes: B60L 53/62 in response to charging parameters, e.g. current, voltage or electrical charge
• CPC Class Codes: B60L 53/66 Data transfer between charging stations and vehicles
• CPC Class Codes: B60L 53/665 Methods related to measuring, billing or payment
• CPC Class Codes: B60L 58/10 for monitoring or controlling batteries
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• 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 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
• CPC Class Codes: Y02T 90/167 Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: Y04S 30/14 Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

An electric vehicle charging system comprises one or more system power and control modules (SPCM) and vehicle charging stations (VCS); wherein the SPCM distributes power from a power source to the VCS, and the VCS distributes power to one or more electric vehicles. Another electric vehicle charging system comprises an SPCM, VCS, a fleet management system (FMS) for monitoring and controlling the charging system, and a communications network for sharing information. A system for managing a plurality of electric vehicles comprises a plug-in module configured to collect and store information from an on-board diagnostics system of at least one of the plurality of electric vehicles, management software, a communications network, and a smart device software application for displaying system information. A computer-readable medium having computer-executable instructions for supporting a management system for a plurality of electric vehicles to extract, organize, and display information from the management system.

Claims

1. A system for managing a plurality of electric vehicles, the system comprising:

a plug-in module that connects to an on-board computer system of at least one of the plurality of electric vehicles, the plug-in module configured to collect and store data collected from the at least one of the plurality of electric vehicles in real-time while the at least one of the plurality of electric vehicles is in operation;

a first software application that manages, monitors, and controls electric vehicle driver registrations, rental checkouts, rental returns, billing, costs, carbon emissions, and additional parameters associated with the plurality of electric vehicles;

a second software application that executes on a smart device, the second software application comprising a user interface for displaying electric vehicle driver registrations, rental checkouts, rental returns, billing, costs, carbon emissions, and additional parameters associated with the plurality of electric vehicles;

a communications network to communicate among the plug-in module, the first software application, the smart device executing the second software application and a utility providing electric vehicle charging energy, the communications network having a first communications link between the plug-in module and the first software application, a second communications link between the first software application and the smart device executing the second software application, a third communications link between the smart device executing the second software application and the plug-in module, and a fourth communications link between the first software application and the utility providing electric vehicle charging energy; and

a non-transitory computer-readable medium residing in the plug-in module that stores computer executable instructions supporting the system, the computer-executable instructions comprising computer code that extracts information items from the one or more of the plurality of electric vehicles in real-time, wirelessly transmits the information items to the first software application, and wirelessly transmits the information items to the smart device executing the second software application.

2. The system of claim 1 wherein each of the first, second, third and fourth communications links communicates wirelessly.

3. The system of claim 1 wherein each of the first, second, and third communications links communicates wirelessly and the fourth communications link communicates over an Internet wire line connection.

4. The system of claim 1, the computer-executable instructions further comprising:

code that calculates energy usage metrics for the one or more of the plurality of electric vehicles.

5. The system of claim 4 wherein the code calculates energy usage metrics using vehicle charge energy data extracted by the plug-in module and utility-supplied energy amounts extracted by the computer-executable instructions from the system for the one or more of the plurality of electric vehicles.

6. The system of claim 1, the computer-executable instructions further comprising:

code that calculates energy cost per mile usage metrics for the one or more of the plurality of electric vehicles.

7. The system of claim 6 wherein the code calculates energy cost per mile usage metrics using vehicle mileage and charge energy data extracted by the plug-in module and utility-supplied energy costs extracted by the computer-executable instructions from the system for the one or more of the plurality of electric vehicles.

8. The system of claim 1 wherein the data about the at least one of the plurality of electric vehicles collected and stored by the plug-in module is vehicle odometer reading, vehicle speed, battery charge level and driver handling data.

9. The system of claim 1 wherein the information items are availability of one or more of the plurality of electric vehicles, location relative to the smart device of an available one or more of the plurality of electric vehicles, distance to the available one or more of the plurality of electric vehicles, charge status of the available one or more of the plurality of electric vehicles, energy cost per mile for the available one or more of the plurality of electric vehicles, scheduled maintenance for the one or more of the plurality of electric vehicles, usage and handling metrics for a driver of one of the plurality of electric vehicles, average miles driven between charges for the one or more of the plurality of electric vehicles, carbon emissions, odometer readings for one or more of the plurality of electric vehicles, battery charge level for one or more of the plurality of electric vehicles, vehicle alarm status and maintenance alerts.

10. A non-transitory computer-readable medium residing in a software system, wherein the non-transitory computer readable medium stores computer-executable instructions that support a management system for a plurality of electric vehicles, the computer-executable instructions comprising computer code performing steps of:

extracting information in real-time, while the plurality of electric vehicles are in operation, from the management system about at least one characteristic of one or more of the plurality of electric vehicles, the at least one characteristic selected from a group consisting of;

odometer reading, battery charge level, alarm status, maintenance alerts, driver handling data, energy cost per mile, carbon emission reductions, and average miles driven between charges;

extracting information from a providing electric utility about;

(1) a total amount of energy provided to charge the one or more of the plurality of electric vehicles,

(2) a type of energy being provided by a supplemental power source to charge the one or more of the plurality of electric vehicles, the supplemental power source selected from a group comprising;

solar power, wind power, and other renewable energy power types,

(3) a percent of each type of energy being provided by the supplemental power source to comprise the total amount of energy provided for charging the one or more of the plurality of electric vehicles, and

(4) a tariffed rate of the total amount of energy provided to charge the one or more of the plurality of electric vehicles;

organizing the information into a desired format; and

displaying the information via a user interface.

11. The non-transitory computer-readable medium of claim 10, the computer code further performing a step of:

using the information from the providing electric utility to calculate and report the type of energy being provided by the supplemental power source to charge the one or more of the plurality of electric vehicles and the percent of each type of energy being provided by the supplemental power source to comprise the total amount of energy provided for charging the one or more of the plurality of electric vehicles.

12. The non-transitory computer-readable medium of claim 10, the computer code further performing a step of:

calculating carbon emission avoidance achieved by driving one or more of the plurality of electric vehicles charged with the supplemental power source, based on the type of supplemental power source, selected from the group comprising;

solar power, wind power, and other renewable energy power types.

13. The non-transitory computer-readable medium of claim 12 wherein the carbon emission avoidance calculations are applied to a specific one of the plurality of electric vehicles.

14. The non-transitory computer-readable medium of claim 12 wherein the carbon emission avoidance calculations are applied to a specific fleet of the plurality of electric vehicles.

15. The non-transitory computer-readable medium of claim 12, the computer code further performing a step of:

calculating carbon emission avoidance achieved by a specific driver using one of the plurality of electric vehicles charged with the supplemental power source.

16. The non-transitory computer-readable medium of claim 10, the computer code further performing a step of:

selecting and displaying carbon emission avoidance on a smart device of a specific driver using one of the plurality of electric vehicles charged with the supplemental power source.

17. The non-transitory computer-readable medium of claim 10, the computer code further performing a step of:

selecting and displaying carbon emission avoidance achieved by a specific fleet of the plurality of electric vehicles charged with the supplemental power source.

18. The non-transitory computer-readable medium of claim 10, the computer code further performing a step of:

selecting and displaying carbon emission avoidance data as a function of time of day and power utility operating parameters.

19. The non-transitory computer-readable medium of claim 18 wherein the time of day and utility operating parameters comprise:

energy type changes that occur during peak usage times.