BATTERY MODEL IDENTIFICATION METHOD

• US 20110231124A1
• Filed: 11/12/2009
• Published: 09/22/2011
• Est. Priority Date: 12/01/2008
• Status: Active Grant

• Current Assignee: Calsonic Kansei Corporation
• Original Assignee: Calsonic Kansei Corporation
• Inventors: Itabashi, Kinnosuke
• Granted Patent: US 8,655,612 B2
• Time in Patent Office: Days
• US Class Current: 702/63
• 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: H01M 10/052 Li-accumulators
• CPC Class Codes: H01M 10/482 for several batteries or cells simultaneously or sequentially
• CPC Class Codes: Y02E 60/10 Energy storage using batteries

Abstract

In a battery model identification method of the present invention, an M-sequence input electric current production part 2 inputs M-sequence signals with different frequency components as an electric current input into the battery 4. In this occasion, terminal voltage of the battery is measured by a voltage sensor 5, and a parameter estimation part 3 executes system identification based on the measured result to calculate frequency characteristics of the battery. Resistance components Rb, R1-R3 and capacitance components C1-C3 as parameters of a battery model 7 are identified based on the calculated frequency characteristics.

Claims

1. A battery model identification method of a battery capable of being discharged and charged, the method comprising the steps of:

setting a battery model of the battery which has a plurality of resistance components and capacitance components as parameters;

inputting M-sequence signals with different frequency components as an electric current input into the battery;

measuring a terminal voltage of the battery when the signals are inputted;

identifying a system based on a measured result of the terminal voltage;

calculating frequency characteristics of the battery; and

estimating the parameters of the battery model based on the calculated frequency characteristics.

2. The battery model identification method according to claim 1, wherein the system identification includes the steps of:

calculating SOC by accumulating output current of the battery; and

calculating open circuit voltage based on the SOC, and wherein

the system identification uses overvoltage which is calculated by subtracting the open circuit voltage from the terminal voltage of the battery.