[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zhou et al., 2013 - Google Patents

Battery health diagnostics using retrospective-cost subsystem identification: Sensitivity to noise and initialization errors

Zhou et al., 2013

View PDF
Document ID
15501434805377884187
Author
Zhou X
Ersal T
Stein J
Bernstein D
Publication year
Publication venue
Dynamic Systems and Control Conference

External Links

Snippet

Health management of Li-ion batteries requires knowledge of certain battery internal dynamics (eg, lithium consumption and film growth at the solid-electrolyte interface) whose inputs and outputs are not directly measurable with noninvasive methods. Therefore …
Continue reading at www-personal.umich.edu (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • G01R31/3644—Various constructional arrangements
    • G01R31/3648—Various constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • G01R31/3651—Software aspects, e.g. battery modeling, using look-up tables, neural networks
    • H—ELECTRICITY
    • H01—BASIC ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • H—ELECTRICITY
    • H01—BASIC ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • H01M10/446—Initial charging measures
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging several batteries simultaneously or sequentially
    • H02J7/0021—Monitoring or indicating circuits
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
Hasib et al. A comprehensive review of available battery datasets, RUL prediction approaches, and advanced battery management
Xu et al. Co-estimating the state of charge and health of lithium batteries through combining a minimalist electrochemical model and an equivalent circuit model
Ouyang et al. State-of-charge observer design for batteries with online model parameter identification: A robust approach
Wang et al. Revisiting the state-of-charge estimation for lithium-ion batteries: A methodical investigation of the extended Kalman filter approach
Xiong et al. An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application
Xiong et al. Critical review on the battery state of charge estimation methods for electric vehicles
Shen et al. Accurate state of charge estimation with model mismatch for li-ion batteries: A joint moving horizon estimation approach
Lin et al. Evaluation of electrochemical models based battery state-of-charge estimation approaches for electric vehicles
Hashemi et al. Machine learning‐based model for lithium‐ion batteries in BMS of electric/hybrid electric aircraft
Tang et al. Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy
Du et al. State of charge estimation for Li-ion battery based on model from extreme learning machine
Moura et al. Adaptive PDE observer for battery SOC/SOH estimation
Klein et al. Electrochemical model based observer design for a lithium-ion battery
Castano et al. Dynamical modeling procedure of a Li-ion battery pack suitable for real-time applications
Wang et al. Online state of charge estimation for the aerial lithium-ion battery packs based on the improved extended Kalman filter method
Wang et al. A novel safety anticipation estimation method for the aerial lithium-ion battery pack based on the real-time detection and filtering
Chun et al. Adaptive exploration harmony search for effective parameter estimation in an electrochemical lithium-ion battery model
Al-Greer et al. Physics-based model informed smooth particle filter for remaining useful life prediction of lithium-ion battery
Chaoui et al. Adaptive state of charge estimation of lithium-ion batteries with parameter and thermal uncertainties
Jafari et al. Prediction of the battery state using the digital twin framework based on the battery management system
Kim et al. Reliable online parameter identification of li-ion batteries in battery management systems using the condition number of the error covariance matrix
Wang et al. A comprehensive working state monitoring method for power battery packs considering state of balance and aging correction
KR20180057266A (en) Method and apparatus for estimating state of battery
Zhou et al. Battery health diagnostics using retrospective-cost subsystem identification: Sensitivity to noise and initialization errors
Zhang et al. Thermal-enhanced adaptive interval estimation in battery packs with heterogeneous cells