System, method, and article of manufacture for determining an estimated battery parameter vector

• US 7,965,059 B2
• Filed: 04/08/2010
• Issued: 06/21/2011
• Est. Priority Date: 11/30/2005
• Status: Active Grant

• Current Assignee: LG Energy Solution Limited (LG Corporation)
• Original Assignee: LG Chem Limited (LG Corporation)
• Inventors: Plett, Gregory L.
• Primary Examiner(s): Tso; Edward
• Assistant Examiner(s): Fantu; Yalkew
• Application Number:
  US12/756,518
• Publication Number:
  US 20100191491A1
• Time in Patent Office: 439 Days
• Field of Search: 320/132
• US Class Current: 320/132
• CPC Class Codes: G01R 31/3648 comprising digital calculation means, e.g. for performing an algorithm
• CPC Class Codes: G01R 31/374 with means for correcting the measurement for temperature or ageing

Abstract

A system, a method, and an article of manufacture for determining an estimated battery parameter vector indicative of a parameter of a battery are provided. The method determines a first estimated battery parameter vector indicative of a parameter of the battery at a first predetermined time based on a plurality of predicted battery parameter vectors, a plurality of predicted battery output vectors, and a first battery output vector.

Claims

1. A system for determining an estimated battery parameter vector indicative of a parameter of a battery at a first predetermined time, the system comprising:

a sensor configured to generate a first signal indicative of an output variable of the battery; and

a computer operably coupled to the sensor, the computer configured to determine a first plurality of predicted battery parameter vectors that are indicative of the parameter of the battery and an uncertainty of the parameter of the battery at the first predetermined time, the computer further configured to determine a battery state vector having at least one value indicative of a battery state at the first predetermined time, the computer further configured to determine a second plurality of predicted battery output vectors that are indicative of at least one output variable of the battery and an uncertainty of the output variable at the first predetermined time based on the first plurality of predicted battery parameter vectors and the battery state vector, the computer further configured to determine a first battery output vector based on the first signal, the computer further configured to determine a first estimated battery parameter vector indicative of the parameter of the battery at the first predetermined time based on the first plurality of predicted battery parameter vectors, the second plurality of predicted battery output vectors, and the first battery output vector.

2. The system of claim 1, wherein the computer is further configured to retrieve an estimated battery parameter vector indicative of the parameter of the battery at the second predetermined time from a memory, the computer further configured to retrieve an estimated battery parameter vector covariance matrix indicative of an uncertainty of the parameter of the battery at the second predetermined time from the memory, the computer further configured to determine an estimated battery parameter noise covariance matrix indicative of an uncertainty of a parameter noise at the second predetermined time, the computer further configured to calculate the first plurality of predicted battery parameter vectors based on the estimated battery parameter vector, the estimated battery parameter vector covariance matrix, and the estimated battery parameter noise covariance matrix.

3. The system of claim 1, wherein the computer is further configured to retrieve an estimated battery parameter vector indicative of the parameter of the battery at the second predetermined time from a memory, the computer further configured to retrieve an estimated battery parameter vector square-root covariance matrix indicative of an uncertainty of the parameter of the battery at the second predetermined time from the memory, the computer further configured to determine an estimated battery parameter noise square-root covariance matrix indicative of an uncertainty of a parameter noise at the second predetermined time, the computer further configured to calculate the first plurality of predicted battery parameter vectors based on the estimated battery parameter vector, the estimated battery parameter vector square-root covariance matrix, and the estimated battery parameter noise square-root covariance matrix.

4. The system of claim 1, wherein the computer is further configured to determine a first predicted battery output vector indicative of at least one output variable of the battery at the first predetermined time based on the second plurality of predicted battery output vectors, the computer further configured to determine a gain matrix based on the first predicted battery parameter vector, the first predicted battery output vector, the first plurality of predicted battery parameter vectors, and the second plurality of predicted battery output vectors, the computer further configured to calculate the first estimated battery parameter vector based on the first predicted battery parameter vector, the first predicted battery output vector, the gain matrix, and the first battery output vector.