Model-based predictive diagnostic tool for primary and secondary batteries

• US 20060284617A1
• Filed: 11/28/2005
• Published: 12/21/2006
• Est. Priority Date: 02/19/2002
• Status: Abandoned Application

• Current Assignee: Amulya K. Garga, Carl S. Byington, James D. Kozlowski, Matthew J. Watson, Thomas Cawley, Todd A. Hay
• Original Assignee: Amulya K. Garga, Carl S. Byington, James D. Kozlowski, Matthew J. Watson, Thomas Cawley, Todd A. Hay
• Inventors: Cawley, Thomas, Watson, Matthew J., Hay, Todd A., Garga, Amulya K., Kozlowski, James D., Byington, Carl S.
• Application Number:
  US11/287,670
• Publication Number:
  US 20060284617A1
• Time in Patent Office: Days
• US Class Current: 324/426
• CPC Class Codes: B60L 2240/545 Temperature
• CPC Class Codes: B60L 2240/547 Voltage
• CPC Class Codes: B60L 2240/549 Current
• CPC Class Codes: B60L 2260/44 by parameter estimation
• CPC Class Codes: B60L 2260/50 by future state prediction
• CPC Class Codes: B60L 3/0046 relating to electric energy storage systems, e.g. batteries or capacitors
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• 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: B60W 2510/248 Age of storage means
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/389 Measuring internal impedance, internal conductance or related variables
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health
• CPC Class Codes: H01M 10/48 Accumulators combined with arrangements for measuring, testing or indicating the condition of cells, e.g. the level or density of the electrolyte constructional details of current conducting connections for detecting conditions inside cells or batteries, e.g. details of voltage sensing terminals, H01M50/569
• CPC Class Codes: H01M 6/5044 Cells or batteries structurally combined with cell condition indicating means
• CPC Class Codes: Y02E 60/10 Energy storage using batteries
• CPC Class Codes: Y02T 10/70 Energy storage systems for electromobility, e.g. batteries

Abstract

An apparatus for determining a condition parameter of a battery, receives measurement signals related to the battery, determines input data such as electrical impedance from the measurement signals, and provides the input data to a plurality of different prediction algorithms, wherein each prediction algorithm provides a condition parameter estimate. A plurality of condition parameter estimates are then provided to a decision fusion algorithm, allowing a more accurate prediction of the condition parameter.

Claims

1-23. -23. (canceled)

24. An apparatus for determining a condition parameter of a battery, comprising:

electrical connections, connectable so as to receive measurement signals related to the condition parameter;

a feature extraction processor, receiving the measurement signals and generating input data; and

a computer operable to provide the input data to a plurality of different prediction algorithms, each prediction algorithm providing a condition parameter estimate, so as to determine a plurality of condition parameter estimates, and

to provide the plurality of condition parameter estimates to a decision fusion algorithm, the decision fusion algorithm predicting the condition parameter from plurality of condition parameter estimates.

40. An apparatus for determining a condition parameter of a battery, comprising:

electrical connections for receiving measurement signals related to one or more battery parameters;

a feature extraction processor, receiving the measurement signals and generating input data, the input data including electrical impedance values;

a computer, executing software operable to provide the input data to a plurality of different prediction algorithms, each prediction algorithm providing a condition parameter estimate, so as to determine a plurality of condition parameter estimates, and to provide the plurality of condition parameter estimates to a decision fusion algorithm, the decision fusion algorithm predicting the condition parameter from plurality of condition parameter estimates; and

a user interface, the condition para meter being visually represented on the user interface.