Secondary battery management system

US10243385B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10243385-B2
Application numberUS-201615011118-A
CountryUS
Kind codeB2
Filing dateJan 29, 2016
Priority dateJan 29, 2016
Publication dateMar 26, 2019
Grant dateMar 26, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

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.

First claim

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What is claimed is: 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 chara

Assignees

Inventors

Classifications

  • Regulation of charging or discharging current or voltage · CPC title

  • Determining battery ageing or deterioration, e.g. state of health · CPC title

  • combining voltage and current measurements · CPC title

  • H01M10/425Primary

    Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing (printed circuits H05K1/00) · CPC title

  • Software therefor, e.g. for battery testing using modelling or look-up tables · CPC title

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Frequently asked questions

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What does patent US10243385B2 cover?
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 leas…
Who is the assignee on this patent?
Bosch Gmbh Robert
What technology area does this patent fall under?
Primary CPC classification H01M10/425. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Mar 26 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).