Secondary battery management system

• US 10,243,385 B2
• Filed: 01/29/2016
• Issued: 03/26/2019
• Est. Priority Date: 01/29/2016
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: MirTabatabaei, Anahita, Klein, Reinhardt, Kojic, Aleksandar, Chaturvedi, Nalin, Mayhew, Christopher, Christensen, John F.
• Primary Examiner(s): Pacheco, Alexis
• Application Number:
  US15/011,118
• Publication Number:
  US 20170222448A1
• Time in Patent Office: 1,152 Days
• Field of Search: 320124, 320125, 320127, 320128, 320132, 320134, 320135, 320136, 320137, 320138, 320141, 320142, 320148
• CPC Class Codes: B60L 3/12 Recording operating variables ; Monitoring of operating variables
• CPC Class Codes: B60L 58/12 responding to state of charge [SoC]
• CPC Class Codes: G01R 31/367 Software therefor, e.g. for battery testing using modelling or look-up tables
• CPC Class Codes: G01R 31/3842 combining voltage and current measurements
• CPC Class Codes: G01R 31/392 Determining battery ageing or deterioration, e.g. state of health
• CPC Class Codes: H01M 10/425 Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing printed circuits H05K1/00
• 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 10/482 for several batteries or cells simultaneously or sequentially
• CPC Class Codes: H02J 7/007 Regulation of charging or discharging current or voltage
• 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

A method of managing a battery system, the method including receiving at least one measured characteristic of the at least one battery cell from the at least one sensor, estimating at least one state of the at least one battery cell at a first time by applying an electrochemical-based battery model, estimating at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state, estimating the at least one state at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one parameter, and regulating at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state.

Claims

1. A method of managing a battery system, the battery system including at least one battery cell, at least one sensor configured to measure at least one characteristic of the at least one battery cell, and a battery management system including a microprocessor and a memory, the method comprising

receiving, by the battery management system, at least one measured characteristic of the at least one battery cell from the at least one sensor;

estimating, by the battery management system, at least one state of the at least one battery cell at a first time by applying an electrochemical-based battery model that accounts for physical parameters of a chemical composition of the at least one battery cell;

estimating, by the battery management system, at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimating, by the battery management system, the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter; and

regulating by the battery management system, at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell,

wherein estimating the at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state includes

determining, by the battery management system, a linearized representation of the electrochemical-based battery model based on the estimated at least one state of the at least one battery cell at the first time,

converting the linearized representation of the electrochemical-based battery model into a scalar representation of the electrochemical-based battery model,

determining, by the battery management system, a scalar representation of the at least one physical parameter based on the scalar representation of the electrochemical-based battery model, and

determining, by the battery management system, the estimated at least one physical parameter based on the scalar representation of the at least one physical parameter, and

wherein determining the linearized representation of the electrochemical-based battery model includes applying a state observer to determine one or more regressor vectors based on the estimated at least one state at the first time and at least one estimated physical parameter from a previous time.

2. The method of claim 1, wherein converting the linearized representation of the electrochemical-based battery model into the scalar representation of the electrochemical-based battery model includes normalizing the one or more regressor vectors to generate corresponding one or more scalar outputs, wherein the one or more regressor vectors and the corresponding one or more scalar outputs are functions of the at least one measured characteristic, the estimation of the at least one state, and initial parameters or the parameters from a previous time step.

3. The method of claim 1, wherein determining the estimated at least one physical parameter based on the scalar representation of the at least one physical parameter includes applying a linear recursive least square filter to the scalar representation of the electrochemical-based battery model to determine the scalar representation of the at least one physical parameter.

4. The method of claim 3, wherein determining the estimated at least one physical parameter based on the scalar representation of the at least one physical parameter further includes maintaining a constant cost of estimation and preventing unbounded estimation gains by applying a time varying forgetting factor to the scalar representation of the electrochemical-based battery model.

5. A method of managing a battery system, the battery system including at least one battery cell, at least one sensor configured to measure at least one characteristic of the at least one battery cell, and a battery management system including a microprocessor and a memory, the method comprising

receiving, by the battery management system, at least one measured characteristic of the at least one battery cell from the at least one sensor;

estimating, by the battery management system, at least one state of the at least one battery cell at a first time by applying an electrochemical-based battery model that accounts for physical parameters of a chemical composition of the at least one battery cell;

estimating, by the battery management system, at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimating, by the battery management system, the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter; and

regulating by the battery management system, at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell,

wherein estimating the at least one physical parameter of the at least one battery cell includes;

applying a state observer to determine one or more linearized regressor vectors based on the estimated at least one state at the first time and at least one estimated physical parameter from a previous time,

normalizing the one or more linearized regressor vectors to generate a scalar representation of the electrochemical-based battery model,

determine a scalar representation of the at least one physical parameter by applying a linear recursive least square filter with a forgetting factor to the scalar representation of the electrochemical-based battery model, and

determining an estimated value of the at least one physical parameter based on the scalar representation of the at least one physical parameter.

6. A method of managing a battery system, the battery system including at least one battery cell, at least one sensor configured to measure at least one characteristic of the at least one battery cell, and a battery management system including a microprocessor and a memory, the method comprising

receiving, by the battery management system, at least one measured characteristic of the at least one battery cell from the at least one sensor;

estimating, by the battery management system, at least one state of the at least one battery cell at a first time by applying an electrochemical-based battery model that accounts for physical parameters of a chemical composition of the at least one battery cell;

estimating, by the battery management system, at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimating, by the battery management system, the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter;

regulating by the battery management system, at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell; and

quantifying, with a sensitivity covariance matrix, how highly two parameters or states are coupled over dynamics of the battery system.

7. A method of managing a battery system, the battery system including at least one battery cell, at least one sensor configured to measure at least one characteristic of the at least one battery cell, and a battery management system including a microprocessor and a memory, the method comprising

receiving, by the battery management system, at least one measured characteristic of the at least one battery cell from the at least one sensor;

estimating, by the battery management system, at least one state of the at least one battery cell at a first time by applying an electrochemical-based battery model that accounts for physical parameters of a chemical composition of the at least one battery cell;

estimating, by the battery management system, at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimating, by the battery management system, the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter; and

regulating by the battery management system, at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell,

wherein estimating the at least one state of the at least one battery cell at the first time by applying the electrochemical-based battery model includes applying a plurality of differential algebraic equations to provide a reduced-order-model of a Newman electrochemical battery model.

8. The method of claim 7, wherein receiving the at least one measured characteristic of the at least one battery cell from the at least one sensor includes receiving at least one of a current measurement or a voltage measurement of the at least one battery cell.

9. The method of claim 7, wherein the at least one state of the at least one battery cell includes at least one of a state-of-charge or a state-of-health of the at least one battery cell.

10. A battery management system comprising a processor and a memory storing instructions that, when executed by the processor, cause the battery management system to:

receive at least one measured characteristic of at least one battery cell from at least one sensor, the at least one measured characteristic including a characteristic selected from a group consisting of a current measurement of the at least one battery cell and a voltage measurement of the at least one battery cell;

estimate at least one state of the at least one battery cell at a first time by applying a electrochemical-based battery model that account for physical parameters of a chemical composition of the at least one battery cell;

estimate at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimate the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter; and

regulate at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell,

wherein the instructions, when executed by the processor, cause the battery management system to estimate the at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state by

determining a linearized representation of the electrochemical-based battery model based on the estimated at least one state of the at least one battery cell at the first time,

converting the linearized representation of the electrochemical-based battery model into a scalar representation of the electrochemical-based battery model,

determining a scalar representation of the at least one physical parameter based on the scalar representation of the electrochemical-based battery model, and

determining the estimated at least one physical parameter based on the scalar representation of the at least one physical parameter, and

wherein the instructions, when executed by the processor, cause the battery management system to determine the linearized representation of the electrochemical-based battery model by applying a state observer to determine one or more regressor vectors based on the estimated at least one state at the first time and at least one estimated physical parameter from a previous time.

11. The battery management system of claim 10, wherein the instructions, when executed by the processor, cause the battery management system to convert the linearized representation of the electrochemical-based battery model into the scalar representation of the electrochemical-based battery model by normalizing the one or more regressor vectors to generate corresponding one or more scalar outputs, wherein the one or more regressor vectors and the corresponding one or more scalar outputs are functions of the at least one measured characteristic, the estimation of the at least one state, and initial parameters or the parameters from a previous time step.

12. The battery management system of claim 10, wherein the instructions, when executed by the processor, cause the battery management system to determine the estimated at least one physical parameter based on the scalar representation of the at least one physical parameter by applying a linear recursive least square filter to the scalar representation of the electrochemical-based battery model to determine the scalar representation of the at least one physical parameter.

13. The battery management system of claim 12, wherein the instructions, when executed by the processor, cause the battery management system to determine the estimated at least one physical parameter based on the scalar representation of the at least one physical parameter further by maintaining a constant cost of estimation and preventing unbounded estimation gains by applying a time varying forgetting factor to the scalar representation of the electrochemical-based battery model.

14. A battery management system comprising a processor and a memory storing instructions that, when executed by the processor, cause the battery management system to:

receive at least one measured characteristic of at least one battery cell from at least one sensor, the at least one measured characteristic including a characteristic selected from a group consisting of a current measurement of the at least one battery cell and a voltage measurement of the at least one battery cell;

estimate at least one state of the at least one battery cell at a first time by applying a electrochemical-based battery model that account for physical parameters of a chemical composition of the at least one battery cell;

estimate at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimate the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter; and

regulate at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell,

wherein the instructions, when executed by the processor, cause the battery management system to estimate the at least one physical parameter of the at least one battery cell by;

applying a state observer to determine one or more linearized regressor vectors based on the estimated at least one state at the first time and at least one estimated physical parameter from a previous time,

normalizing the one or more linearized regressor vectors to generate a scalar representation of the electrochemical-based battery model,

determine a scalar representation of the at least one physical parameter by applying a linear recursive least square filter with a forgetting factor to the scalar representation of the electrochemical-based battery model, and

determining an estimated value of the at least one physical parameter based on the scalar representation of the at least one physical parameter.

15. A battery management system comprising a processor and a memory storing instructions that, when executed by the processor, cause the battery management system to:

receive at least one measured characteristic of at least one battery cell from at least one sensor, the at least one measured characteristic including a characteristic selected from a group consisting of a current measurement of the at least one battery cell and a voltage measurement of the at least one battery cell;

estimate at least one state of the at least one battery cell at a first time by applying a electrochemical-based battery model that account for physical parameters of a chemical composition of the at least one battery cell;

estimate at least one physical parameter of the at least one battery cell based on the at least one measured characteristic and the estimation of the at least one state;

estimate the at least one state of the at least one battery cell at a second time, subsequent to the first time, by applying the electrochemical-based battery model based on the estimated at least one physical parameter; and

regulate at least one of charging or discharging of the at least one battery cell based on the estimation of the at least one state of the at least one battery cell,

wherein the instructions, when executed by the processor, cause the battery management system to estimate the at least one state of the at least one battery cell at the first time by applying the electrochemical-based battery model by

applying a plurality of differential algebraic equations to provide a reduced-order-model of a Newman electrochemical battery model.

16. The battery management system of claim 15, wherein the instructions, when executed by the processor, cause the battery management system to estimate the at least one state of the at least one battery cell by estimating a state-of-charge and a state-of-health of the at least one battery cell.