SYSTEM AND METHOD TO EXTEND OPERATING LIFE OF RECHARGABLE BATTERIES USING BATTERY CHARGE MANAGEMENT

• US 20120256752A1
• Filed: 04/06/2011
• Published: 10/11/2012
• Est. Priority Date: 04/06/2011
• Status: Abandoned Application

• Current Assignee: Deere & Company
• Original Assignee: Deere & Company
• Inventors: Finamore, Peter, Anderson, Noel Wayne, Musser, James William, Johnson, David August
• Application Number:
  US13/080,736
• Publication Number:
  US 20120256752A1
• Time in Patent Office: Days
• US Class Current: 340/636.2
• CPC Class Codes: H02J 7/0071 with a programmable schedule
• CPC Class Codes: H02J 7/007192 in response to temperature
• CPC Class Codes: H02J 7/007194 of the battery
• CPC Class Codes: H02J 7/04 Regulation of charging current or voltage

Abstract

A battery charging management technique and apparatus to manage battery charge in order to extend the operating life of the battery while meeting the energy needs of both scheduled and unscheduled discharges of the battery.

Claims

1. A system for managing charge in a battery comprising:

a measuring component configured to measure a state of charge of the battery;

an adjusting component configured to adjust the state of charge of the battery to a target charge level;

a determining component configured to determine a temperature; and

a setting component configured to set the target charge level based on the temperature.

2. The system of claim 1, wherein the target charge level is set based on at least one of a storage battery ambient temperature estimate in storage;

a usage battery ambient temperature estimate in use;

a pre-set scheduled future use, a historic pattern of unscheduled use;

a period of non-use exceeding a threshold value;

a scheduled future use based on a future state of a machine worksite;

an anticipated seasonal non-use wherein the target level is determined by at least one of an estimated non-use duration or self-discharge rate;

a table indicating battery life loss as a function of state of charge and ambient temperature; and

a human input selecting between at least two modes selected from battery life maximization, unscheduled use readiness, and winter hibernation automatic charge state setting.

3. The system of claim 1, wherein the adjusting component is operable for adjusting the state of charge both up and down from a current state of charge of the battery.

4. The system of claim 3, wherein a rate of adjusting the state of charge is controlled to prevent battery temperature from exceeding a threshold level.

5. The system of claim 1 further comprising:

the battery.

6. The system of claim 5 further comprising:

a service robot, wherein the battery is configured to use with the service robot.

7. The system of claim 1, wherein the measuring component, the adjusting component, the determining component, and the setting component are located in a controller.

8. The system of claim 7, wherein the controller comprises an integrated data processor and memory for performing data processing according to programming code maintained in the memory.

9. The system of claim 8 in which an alerting signal is generated by the controller in response to the battery approaching a state of low charge which would cause damage to the battery.

10. The system of claim 9, wherein the alerting signal comprises at least one of an audio alert, a visual alert, and a message transmitted to a message receiving device.

11. The system of claim 1, wherein the determining component is one of a temperature determining component and a network component that accesses a weather tracking database.

12. The system of claim 11, wherein the temperature determining component comprises at least one of a battery temperature sensor, an ambient temperature sensor, and a thermometer.

13. A machine comprising:

a battery;

a measuring component to measure a state of charge in the battery;

an acquiring component to determine a current temperature and an estimated future temperature of a machine worksite; and

a scheduling component to schedule operation of the machine at the machine worksite based on the state of charge, the current temperature and the estimated future temperature.

14. The machine of claim 13 further comprising a selecting component which allows an operator to choose between two or more operating modes including an operating mode which maximizes battery life.

15. The machine of claim 13, wherein the operation of the machine is scheduled to minimize an ambient temperature experienced by the battery in order to prolong battery life of the battery while meeting an operational constraint of the machine.

16. The machine of claim 15, wherein the operational constraint is a frequency of usage window.

17. The machine of claim 16, wherein the frequency of usage window specifies a minimum and maximum time period for when the operation of the machine is scheduled.

18. The machine of claim 17, wherein the minimum and maximum time period is with respect to a time of previous operation of the machine.

19. A method for managing charge in a battery comprising:

determining an ambient air temperature proximate the battery; and

adjusting an amount of charge used to charge the battery based on the ambient air temperature.

20. The method of claim 19, wherein a rate of adjusting the amount of charge in the battery is controlled to prevent the battery from exceeding a threshold temperature.

21. The method of claim 19, wherein the amount of charge is adjusted based on at least one of a storage ambient air temperature estimate when the battery is in storage;

and a usage ambient air temperature estimate when the battery is in use.

22. The method of claim 21, wherein at least one of the storage ambient air temperature estimate and the usage ambient air temperature estimate is obtained by querying a weather tracking database.

23. The method of claim 19, wherein the amount of charge is also adjusted based on a pre-set scheduled future use;

a historic pattern of unscheduled use;

a period of non-use exceeding a threshold value;

a scheduled future use based on a future state of a machine worksite;

an anticipated seasonal non-use wherein a target charge level is determined by at least one of an estimated non-use duration or self-discharge rate;

a table indicating battery life loss as a function of state of charge and ambient temperature; and

a human input selecting between at least two modes selected from battery life maximization, unscheduled use readiness, and winter hibernation automatic charge state setting.