Systems and methods for battery state-of-health monitoring

Patent metadata

Field	Value
Publication number	US-2017246963-A1
Application number	US-201615054686-A
Country	US
Kind code	A1
Filing date	Feb 26, 2016
Priority date	Feb 26, 2016
Publication date	Aug 31, 2017
Grant date	—

Abstract

A vehicle includes a battery, and a controller programmed to charge and discharge the battery based on a health indicator output by a model that describes changes in internal resistance of the battery over time identified from (i) a plurality of different representative battery usage aggressiveness drive cycles and (ii) changes in internal resistance of the battery that are derived from a state of charge, temperature, and current associated with the battery.

First claim

What is claimed is:

1 . A vehicle comprising:
a battery; and a controller programmed to charge and discharge the battery based on a health indicator output by a model that describes changes in internal resistance of the battery over time identified from (i) a plurality of different representative battery usage aggressiveness drive cycles and (ii) changes in internal resistance of the battery that are derived from a state of charge, temperature, and current associated with the battery.

2 . The vehicle of claim 1 , wherein the health indicator is indicative of a percentage of life remaining, a usage time remaining until end-of-life, or a usage time to-date.

3 . The vehicle of claim 2 , wherein the model defines the end-of-life.

4 . The vehicle of claim 2 , wherein the percentage of life remaining and the usage time remaining are defined using the usage time to-date, and wherein the usage time to-date is defined from an inverse of the model and the change in internal resistance.

5 . The vehicle of claim 1 , wherein one of the plurality of different representative battery usage aggressiveness drive cycles is defined by changes in current magnitude and state-of-charge (SOC) that are greater than another one of the plurality.

6 . The vehicle of claim 1 , wherein the model describes changes in internal resistance identified from a best-fit curve of the plurality of different representative battery usage aggressiveness drive cycles and wherein the best-fit curve is defined from a regression analysis.

7 . The vehicle of claim 1 , wherein the model describes changes in internal resistance identified from one of the plurality of different representative battery usage aggressiveness drive cycles.

8 . A vehicle power system controller comprising:
input channels configured to receive signals representing a plurality of different representative battery usage aggressiveness drive cycles and changes in internal resistance of a battery that are derived from a state of charge, temperature, and current associated with the battery; output channels configured to output a health indicator; and control logic configured to generate the health indicator via a model that takes as input the signals.

9 . The controller of claim 8 , wherein the health indicator is indicative of a percentage of life remaining, a usage time remaining until end-of-life, or a usage time to-date.

10 . The controller of claim 9 , wherein the model defines the end-of-life.

11 . The controller of claim 9 , wherein the percentage of life remaining and the usage time remaining are defined using the usage time to-date, and wherein the usage time to-date is defined from an inverse of the model and the change in internal resistance.

12 . The controller of claim 8 , wherein one of the plurality of different representative battery usage aggressiveness drive cycles is defined by changes in current magnitude and state-of-charge (SOC) that are greater than another one of the plurality.

13 . The controller of claim 8 , wherein the model describes changes in internal resistance identified from a best-fit curve of the plurality of different representative battery usage aggressiveness drive cycles and wherein the best-fit curve is defined from a regression analysis.

14 . The controller of claim 8 , wherein the model describes changes in internal resistance identified from one of the plurality of different representative battery usage aggressiveness drive cycles.

15 . A method comprising:
charging and discharging a battery by a controller according to a health indicator output by a model that describes changes in internal resistance of the battery over time identified from (i) a plurality of different representative battery usage aggressiveness drive cycles and (ii) changes in internal resistance of the battery that are derived from a state of charge, temperature, and current associated with the battery.

16 . The method of claim 15 , wherein the health indicator is indicative of a percentage of life remaining, a usage time remaining until end-of-life, or a usage time to-date.

17 . The method of claim 16 , wherein the model defines the end-of-life.

18 . The method of claim 16 , wherein the percentage of life remaining and the usage time remaining are defined using the usage time to-date, and wherein the usage time to-date is defined from an inverse of the model and the change in internal resistance.

19 . The method of claim 15 , wherein one of the plurality of different representative battery usage aggressiveness drive cycles is defined by changes in current magnitude and state-of-charge (SOC) that are greater than another one of the plurality.

20 . The method of claim 15 , wherein the model describes changes in internal resistance identified from a best-fit curve of the plurality of different representative battery usage aggressiveness drive cycles and wherein the best-fit curve is defined from a regression analysis.

Assignees

• Ford Global Tech Llc

Inventors

• Lee Tae-Kyung
• Makki Imad Hassan

Classifications

• H01M10/44

  Methods for charging or discharging (circuits for charging H02J7/00) · CPC title

• H01M2220/20

  Batteries in motive systems, e.g. vehicle, ship, plane · CPC title

• B60L2240/549

  Current · CPC title

• B60L53/65

  involving identification of vehicles or their battery types · CPC title

• B60L58/16 Primary

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