Charge system to improve battery operational life

• US 10,286,801 B2
• Filed: 08/18/2014
• Issued: 05/14/2019
• Est. Priority Date: 08/18/2014
• Status: Expired due to Fees

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: Shimizu, Takayuki, Yokoyama, Akihisa, Kumita, Kunihiko, Ohno, Tomoya
• Primary Examiner(s): Kundu, Sujoy K
• Assistant Examiner(s): Anderson, L.
• Application Number:
  US14/462,006
• Publication Number:
  US 20160047862A1
• Time in Patent Office: 1,730 Days
• CPC Class Codes: B60L 2250/12 by confirmation, e.g. of the input
• CPC Class Codes: B60L 2250/14 by input of vehicle departure time
• CPC Class Codes: B60L 2260/52 drive range estimation, e.g. of estimation of available travel distance
• CPC Class Codes: B60L 53/62 in response to charging parameters, e.g. current, voltage or electrical charge
• CPC Class Codes: B60L 53/65 involving identification of vehicles or their battery types
• 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 53/68 Off-site monitoring or control, e.g. remote control
• CPC Class Codes: B60L 58/15 Preventing overcharging
• CPC Class Codes: B60L 58/16 responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
• CPC Class Codes: G06Q 20/145 Payments according to the detected use or quantity
• CPC Class Codes: G06Q 20/3255 using mobile network messaging services for payment, e.g. SMS
• CPC Class Codes: G06Q 20/384 using social networks
• CPC Class Codes: G07F 15/005 dispensed for the electrical charging of vehicles electrical charging as such, B60L50/00
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2310/48 for electric vehicles [EV] or hybrid vehicles [HEV]
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 7/0071 with a programmable schedule
• CPC Class Codes: H02J 7/04 Regulation of charging current or voltage
• CPC Class Codes: Y02B 70/3225 : Demand response systems, e.g. load shedding, peak shaving
• 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 20/222 : Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 30/14 : Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

Abstract

The disclosure includes a system and method for providing charging services to mobile client devices. The system includes a processor and a memory storing instructions that, when executed, cause the system to: estimate a departure time of a future journey associated with a mobile client device; verify one or more electrical characteristics of a battery associated with the mobile client device; determine a target state of charge for the battery at the departure time; and determine a charge scheme to improve an operational life of the battery. The charge scheme has a combining charge cost that satisfies a charge objective of the mobile client device. The combining charge cost includes a weighted combination of a power cost and a battery degradation cost. The charge scheme is configured to charge the battery to achieve the target state of charge at the departure time.

Claims

1. A computer-implemented method comprising:

estimating a departure time of a future journey associated with a mobile client device using a processor configured to perform the estimating;

verifying one or more electrical characteristics of a battery associated with the mobile client device;

determining a target state of charge for the battery at the departure time responsive to verifying the one or more electrical characteristics of the battery;

determining a charge scheme that improves an operational life of the battery, the charge scheme having a combining charge cost that satisfies a charge objective of the mobile client device, wherein a power cost is associated with a first scaling factor, a battery degradation cost is associated with a second scaling factor, the first scaling factor and the second scaling factor are based on different values provided by a user of the mobile client device, and the combining charge cost includes a sum of the power cost weighted by the first scaling factor and the battery degradation cost weighted by the second scaling factor; and

charging the battery based on the charge scheme, wherein the battery of the mobile client device has the target state of charge at the departure time.

2. The method of claim 1, wherein determining the charge scheme comprises:

receiving data describing one or more demand response requirements;

determining one or more available time slots that satisfy the one or more demand response requirements;

determining a set of potential charge schemes based on the one or more available time slots, each potential charge scheme configured to include one or more corresponding time slots from the one or more available time slots, each potential charge scheme configured to charge the battery to achieve the target state of charge at a charge completion time before the departure time;

estimating a set of power costs for the set of potential charge schemes;

estimating a set of battery degradation costs for the set of potential charge schemes;

determining a set of combining charge costs for the set of potential charge schemes based on the set of power costs and the set of battery degradation costs; and

determining the charge scheme as a potential charge scheme associated with a minimal combining charge cost from the set of combining charge costs.

3. The method of claim 1, wherein the battery degradation cost includes one or more of a speed degradation cost, a temperature degradation cost, a high-state of charge (SOC) degradation cost, and a low-SOC degradation cost.

4. The method of claim 1, further comprising:

generating graphical data for providing a user interface that allows the user to specify the charge objective for the mobile client device; and

receiving from the user the different values for the first scaling factor and the second scaling factor.

5. The method of claim 1, wherein the charge objective includes one or more of charging the battery of the mobile client device with reduced power costs and extending the operational life of the battery.

6. The method of claim 1, wherein the one or more electrical characteristics of the battery include waveform characteristics and a lag time associated with the battery.

7. The method of claim 1, wherein the mobile client device includes a vehicle.

8. A computer program product comprising a non-transitory computer-usable medium including a computer-readable program, wherein the computer-readable program when executed on a computer causes the computer to:

estimate a departure time of a future journey associated with a mobile client device using a processor configured to perform the estimate;

verify one or more electrical characteristics of a battery associated with the mobile client device;

determine a target state of charge for the battery at the departure time responsive to verifying the one or more electrical characteristics of the battery;

determine a charge scheme that improves an operational life of the battery, the charge scheme having a combining charge cost that satisfies a charge objective of the mobile client device, wherein a power cost is associated with a first scaling factor, a battery degradation cost is associated with a second scaling factor, the first scaling factor and the second scaling factor are based on different values provided by a user of the mobile client device, and the combining charge cost includes a sum of the power cost weighted by the first scaling factor and the battery degradation cost weighted by the second scaling factor; and

charging the battery based on the charge scheme, wherein the battery of the mobile client device has the target state of charge at the departure time.

9. The computer program product of claim 8, wherein determining the charge scheme comprises:

receiving data describing one or more demand response requirements;

determining one or more available time slots that satisfy the one or more demand response requirements;

determining a set of potential charge schemes based on the one or more available time slots, each potential charge scheme configured to include one or more corresponding time slots from the one or more available time slots, each potential charge scheme configured to charge the battery to achieve the target state of charge at a charge completion time before the departure time;

estimating a set of power costs for the set of potential charge schemes;

estimating a set of battery degradation costs for the set of potential charge schemes;

determining a set of combining charge costs for the set of potential charge schemes based on the set of power costs and the set of battery degradation costs; and

determining the charge scheme as a potential charge scheme associated with a minimal combining charge cost from the set of combining charge costs.

10. The computer program product of claim 8, wherein the battery degradation cost includes one or more of a speed degradation cost, a temperature degradation cost, a high-state of charge (SOC) degradation cost, and a low-SOC degradation cost.

11. The computer program product of claim 8, wherein:

generating graphical data for providing a user interface that allows the user to specify the charge objective for the mobile client device; and

receiving from the user the different values for the first scaling factor and the second scaling factor.

12. The computer program product of claim 8, wherein the charge objective includes one or more of charging the battery of the mobile client device with reduced power costs and extending the operational life of the battery.

13. The computer program product of claim 8, wherein the one or more electrical characteristics of the battery include waveform characteristics and a lag time associated with the battery.

14. The computer program product of claim 8, wherein the mobile client device includes a vehicle.

15. A system comprising:

a processor; and

a memory storing instructions that, when executed, cause the system to;

estimate, using the processor, a departure time of a future journey associated with a mobile client device;

verify one or more electrical characteristics of a battery associated with the mobile client device;

determine a target state of charge for the battery at the departure time responsive to verifying the one or more electrical characteristics of the battery; and

determine a charge scheme that improves an operational life of the battery, the charge scheme having a combining charge cost that satisfies a charge objective of the mobile client device, wherein a power cost is associated with a first scaling factor, a battery degradation cost is associated with a second scaling factor, the first scaling factor and the second scaling factor are based on different values provided by a user of the mobile client device, and the combining charge cost includes a sum of the power cost weighted by the first scaling factor and the battery degradation cost weighted by the second scaling factor; and

charging the battery based on the charge scheme, wherein the battery of the mobile client device has the target state of charge at the departure time.

16. The system of claim 15, wherein the instructions when executed cause the system to determine the charge scheme by:

receiving data describing one or more demand response requirements;

determining one or more available time slots that satisfy the one or more demand response requirements;

determining a set of potential charge schemes based on the one or more available time slots, each potential charge scheme configured to include one or more corresponding time slots from the one or more available time slots, each potential charge scheme configured to charge the battery to achieve the target state of charge at a charge completion time before the departure time;

estimating a set of power costs for the set of potential charge schemes;

estimating a set of battery degradation costs for the set of potential charge schemes;

determining a set of combining charge costs for the set of potential charge schemes based on the set of power costs and the set of battery degradation costs; and

determining the charge scheme as a potential charge scheme associated with a minimal combining charge cost from the set of combining charge costs.

17. The system of claim 15, wherein the battery degradation cost includes one or more of a speed degradation cost, a temperature degradation cost, a high-state of charge (SOC) degradation cost, and a low-SOC degradation cost.

18. The system of claim 15, wherein:

generating graphical data for providing a user interface that allows the user to specify the charge objective for the mobile client device; and

receiving from the user the different values for the first scaling factor and the second scaling factor.

19. The system of claim 15, wherein the charge objective includes one or more of charging the battery of the mobile client device with reduced power costs and extending the operational life of the battery.

20. The system of claim 15, wherein the one or more electrical characteristics of the battery include waveform characteristics and a lag time associated with the battery.