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

Hu et al., 2011 - Google Patents

Electro-thermal battery model identification for automotive applications

Hu et al., 2011

Document ID
16772482982431606544
Author
Hu Y
Yurkovich S
Guezennec Y
Yurkovich B
Publication year
Publication venue
Journal of Power Sources

External Links

Snippet

This paper describes a model identification procedure for identifying an electro-thermal model of lithium ion batteries used in automotive applications. The dynamic model structure adopted is based on an equivalent circuit model whose parameters are scheduled on the …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • G01R31/3644Various constructional arrangements
    • G01R31/3648Various constructional arrangements comprising digital calculation means, e.g. for performing an algorithm
    • G01R31/3651Software aspects, e.g. battery modeling, using look-up tables, neural networks
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • G01R31/3606Monitoring, i.e. measuring or determining some variables continuously or repeatedly over time, e.g. current, voltage, temperature, state-of-charge [SoC] or state-of-health [SoH]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • G01R31/3644Various constructional arrangements
    • G01R31/3662Various constructional arrangements involving measuring the internal battery impedance, conductance or related variables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Apparatus for testing electrical condition of accumulators or electric batteries, e.g. capacity or charge condition
    • G01R31/3627Testing, i.e. making a one-time determination of some variables, e.g. testing ampere-hour charge capacity
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00Testing or calibrating of apparatus covered by the preceding groups
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R27/00Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
Hu et al. Electro-thermal battery model identification for automotive applications
Hu et al. A technique for dynamic battery model identification in automotive applications using linear parameter varying structures
Yang et al. An online SOC and capacity estimation method for aged lithium-ion battery pack considering cell inconsistency
Hua et al. Finding a better fit for lithium ion batteries: A simple, novel, load dependent, modified equivalent circuit model and parameterization method
Hentunen et al. Time-domain parameter extraction method for thévenin-equivalent circuit battery models
Hua et al. A multi time-scale state-of-charge and state-of-health estimation framework using nonlinear predictive filter for lithium-ion battery pack with passive balance control
Xiong et al. Evaluation on state of charge estimation of batteries with adaptive extended Kalman filter by experiment approach
Ning et al. Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online
Sun et al. Model-based dynamic multi-parameter method for peak power estimation of lithium–ion batteries
Liu et al. A new method of modeling and state of charge estimation of the battery
He et al. Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles
Ahmed et al. Model-based parameter identification of healthy and aged li-ion batteries for electric vehicle applications
Malysz et al. Battery state-of-power peak current calculation and verification using an asymmetric parameter equivalent circuit model
He et al. Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
Xiong et al. Adaptive state of charge estimator for lithium-ion cells series battery pack in electric vehicles
Song et al. The sequential algorithm for combined state of charge and state of health estimation of lithium-ion battery based on active current injection
Ahmed et al. Reduced-order electrochemical model parameters identification and soc estimation for healthy and aged li-ion batteries part i: Parameterization model development for healthy batteries
Chiang et al. Online estimation of internal resistance and open-circuit voltage of lithium-ion batteries in electric vehicles
US8560257B2 (en) Dynamic battery capacity estimation
Huria et al. High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells
Gong et al. A data-driven bias-correction-method-based lithium-ion battery modeling approach for electric vehicle applications
Hu et al. Two time-scaled battery model identification with application to battery state estimation
Sabatier et al. Lithium-ion batteries modeling involving fractional differentiation
Stroe et al. Lithium-ion battery dynamic model for wide range of operating conditions
Tannahill et al. Future vision for reduction of range anxiety by using an improved state of charge estimation algorithm for electric vehicle batteries implemented with low‐cost microcontrollers