Battery state estimator combining electrochemical solid-state concentration model with empirical equivalent-circuit model

Patent metadata

Field	Value
Publication number	US-9377512-B2
Application number	US-201313889964-A
Country	US
Kind code	B2
Filing date	May 8, 2013
Priority date	May 8, 2013
Publication date	Jun 28, 2016
Grant date	Jun 28, 2016

Abstract

A battery state estimator which combines an electrochemical solid-state concentration model with an empirical equivalent-circuit model. The battery state estimator uses a reduced-order physics-based electrochemical solid-state concentration model to calculate open circuit voltage of a battery cell, and uses the calculated open circuit voltage in an equivalent-circuit model to evaluate a diffusion voltage drop and other battery cell parameters. The battery state estimator is implemented in an online estimator framework using an extended Kalman filter, with a measured terminal voltage and measured current as inputs. A state of charge of the battery cell can be determined from the calculated open circuit voltage, and the state of charge along with the other parameters from the equivalent-circuit model are used to evaluate battery pack performance and to control battery pack charging and discharging.

First claim

What is claimed is:

1. A method for determining a state of a battery cell during charging or discharging, said method comprising:
providing an equivalent-circuit model of the battery cell including a terminal voltage which is equal to a sum of a diffusion-effect voltage drop, a double-layer voltage drop, an ohmic resistance voltage drop and an open circuit voltage;
establishing resistance values and capacitance values associated with the double-layer voltage drop and the ohmic resistance voltage drop in the equivalent-circuit model;
providing a reduced-order electrochemical model for determining an open circuit voltage value based on calculations of solid concentrations of active material at a positive electrode and a negative electrode of the battery cell;
obtaining measured terminal voltage data and measured current data for the battery cell during charging or discharging, where the measured data is obtained using sensors; and
calculating the state of the battery cell, using a microprocessor, based on the equivalent-circuit model, the established resistance values and capacitance values, the reduced-order physics-based model and the measured terminal voltage data and current data.

2. The method of claim 1 wherein the double-layer voltage drop in the equivalent-circuit model is modeled as a first parallel resistor-capacitor pair and a second parallel resistor-capacitor pair, where the first and second parallel resistor-capacitor pairs have different time constants.

3. The method of claim 2 wherein establishing resistance values and capacitance values includes empirically determining the resistance values and capacitance values of the first and second parallel resistor-capacitor pairs.

4. The method of claim 1 wherein the reduced-order electrochemical model includes a finite difference approximation of the solid concentrations of active material at the electrodes, and models each solid particle in the electrodes as three or more discrete layers.

5. The method of claim 4 wherein the open circuit voltage value is determined from the solid concentration of active material at a solid-electrolyte interface.

6. The method of claim 1 wherein calculating the state of the battery cell includes combining the equivalent-circuit model and the reduced-order electrochemical model in a continuously running numerical predictor-corrector, and calculating the state of the battery cell based on the measured terminal voltage data and current data.

7. The method of claim 6 wherein calculating the state of the battery cell includes using an extended Kalman filter.

8. The method of claim 1 wherein calculating the state of the battery cell includes calculating the open circuit voltage, the solid concentrations of active material at the electrodes, the diffusion-effect voltage drop and the double-layer voltage drop.

9. The method of claim 8 further comprising calculating a state of charge of the battery cell based on the calculated open circuit voltage.

10. The method of claim 9 wherein the state of charge of the battery cell is used by a battery controller to control charging and discharging of the battery cell.

11. A method for determining a state of a battery cell in an electric vehicle battery pack during charging or discharging, said method comprising:
providing an equivalent-circuit model of the battery cell including a terminal voltage which is equal to a sum of a diffusion-effect voltage drop, a double-layer voltage drop, an ohmic resistance voltage drop and an open circuit voltage;
establishing resistance values and capacitance values associated with the double-layer voltage drop and the ohmic resistance voltage drop in the equivalent-circuit model, where the double-layer voltage drop in the equivalent-circuit model is modeled as a first parallel resistor-capacitor pair and a second parallel resistor-capacitor pair, and the first and second parallel resistor-capacitor pairs have different time constants;
providing a reduced-order electrochemical model for determining an open circuit voltage value based on calculations of solid concentrations of active material at a positive electrode and a negative electrode of the battery cell;
obtaining measured terminal voltage data and measured current data for the battery cell during charging or discharging, where the measured data is obtained using sensors;
calculating the state of the battery cell, using a microprocessor, based on the equivalent-circuit model, the established resistance values and capacitance values, the reduced-order electrochemical model and the measured terminal voltage data and current data, where the state of the battery cell includes the open circuit voltage, the solid concentrations of active material at the electrodes, the diffusion-effect voltage drop and the double-layer voltage drop; and
calculating a state of charge of the battery cell based on the calculated open circuit voltage.

12. The method of claim 11 wherein the reduced-order electrochemical model includes a finite difference approximation of the solid concentrations of active material at a solid-electrolyte interface, and models each solid particle in the electrodes as three or more discrete layers.

13. The method of claim 11 wherein calculating the state of the battery cell includes combining the equivalent-circuit model and the reduced-order electrochemical model in an extended Kalman filter routine, and calculating the state of the battery cell based on the measured terminal voltage data and current data.

14. The method of claim 11 further comprising using the state of charge of the battery cell by a battery controller to control charging and discharging of the electric vehicle battery pack.

15. A system for determining a state of a battery cell during charging or discharging, said system comprising:
a voltmeter for measuring voltage data for the battery cell;
an ammeter for measuring current data for the battery cell; and
a controller in communication with the voltmeter and the ammeter, said controller including a processor and a memory, said controller being configured to compute the state of the battery cell using the measured voltage data and current data as input to a hybrid battery state estimator, where the hybrid battery state estimator includes an equivalent-circuit model and a reduced-order electrochemical model combined in a continuously running numerical predictor-corrector, where the equivalent-circuit model includes a terminal voltage which is equal to a sum of a diffusion-effect voltage drop, a double-layer voltage drop, an ohmic resistance voltage drop and an open circuit voltage, and the reduced-order electrochemical model includes a finite difference approximation of solid concentrations of active material at a solid-electrolyte interface for positive and negative electrodes of the battery cell.

16. The system of claim 15 wherein the double-layer voltage drop in the equivalent-circuit model is modeled as a first parallel resistor-capacitor pair and a second parallel resistor-capacitor pair, where the first and second parallel resistor-capacitor pairs have different time constants.

17. The system of claim 15 wherein the reduced-order electrochemical model models each solid particle in the electrodes as three or more discrete layers, and an open circuit voltage is determined from the solid concentration of active material at the solid-electrolyte interface.

18. The system of claim 15 wherein the hybrid battery state estimator includes an extended Kalman filter routine running in a prediction/correction loop to s

Assignees

• Gm Global Tech Operations Inc

Inventors

• Frost Patrick
• Laskowsky Patricia M
• Koch Brian J

Classifications

• B60L2240/545

  Temperature · CPC title

• G01R31/3624

  Physics · mapped topic

• B60L11/1864

  Operations & Transport · mapped topic

• Y02T10/7061

  Cross-Sectional Technologies · mapped topic

• B60L11/1861

  Operations & Transport · mapped topic