Nothing Special   »   [go: up one dir, main page]

Kessels et al., 2011 - Google Patents

On-line battery identification for electric driving range prediction

Kessels et al., 2011

Document ID
3912413737625330049
Author
Kessels J
Rosca B
Bergveld H
Van Den Bosch P
Publication year
Publication venue
2011 IEEE vehicle power and propulsion conference

External Links

Snippet

Hybrid and electric vehicles require accurate knowledge of the battery to make an educated guess about the expected electric driving range. Range prediction is complicated by the fact that batteries are subject to external influences and aging. Also the future driving behavior is …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • G01R31/3675—Various constructional arrangements for compensating for temperature or ageing
    • 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
    • G01R31/3662—Various constructional arrangements involving measuring the internal battery impedance, conductance or related variables
    • 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
    • G01R31/3606—Monitoring, 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]
    • G01R31/361—Monitoring, 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] using current integration
    • 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
    • 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
    • H02J7/007—Regulation of charging current or voltage
    • 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

Similar Documents

Publication Publication Date Title
Kessels et al. On-line battery identification for electric driving range prediction
CN110914696B (en) Method and system for estimating battery open cell voltage, state of charge, and state of health during operation of a battery
Chen et al. A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
Xiong et al. Evaluation on state of charge estimation of batteries with adaptive extended Kalman filter by experiment approach
Hussein Capacity fade estimation in electric vehicle li-ion batteries using artificial neural networks
Chen et al. Battery state of charge estimation based on a combined model of Extended Kalman Filter and neural networks
CN108701872B (en) Battery management system, battery system, and hybrid vehicle control system
Chen et al. Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit model
KR100894021B1 (en) Method for calculating power capability of battery packs using advanced cell model predictive techniques
Baronti et al. State-of-charge estimation enhancing of lithium batteries through a temperature-dependent cell model
US11982720B2 (en) Method and battery management system for ascertaining a state of health of a secondary battery
US20220365139A1 (en) Method for estimating an operating parameter of a battery unit
KR100901252B1 (en) Method and Apparatus for estimation of State Of Charge using sliding mode observer
Taborelli et al. State of charge estimation using extended Kalman filters for battery management system
Zhou et al. Peak power prediction for series-connected LiNCM battery pack based on representative cells
CN104773086A (en) Method and system for battery impedance parameter estimation by using receding horizon regression analysis
WO2006052043A1 (en) State and parameter estimation for an electrochemical cell
KR102572652B1 (en) Method for estimating state of charge of battery
Samadani et al. A review study of methods for lithium-ion battery health monitoring and remaining life estimation in hybrid electric vehicles
Juang et al. System identification-based lead-acid battery online monitoring system for electric vehicles
Gould et al. EV/HEV Li-ion battery modelling and State-of-Function determination
Qiu et al. Battery hysteresis modeling for state of charge estimation based on Extended Kalman Filter
Nejad et al. Sensitivity of lumped parameter battery models to constituent parallel-RC element parameterisation error
Rosca et al. On-line parameter, state-of-charge and aging estimation of Li-ion batteries
Juang et al. Coulomb counting state-of-charge algorithm for electric vehicles with a physics-based temperature dependent battery model