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

Remmlinger et al., 2011 - Google Patents

State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation

Remmlinger et al., 2011

Document ID
18018345437441140619
Author
Remmlinger J
Buchholz M
Meiler M
Bernreuter P
Dietmayer K
Publication year
Publication venue
Journal of power sources

External Links

Snippet

For reliable and safe operation of lithium-ion batteries in electric or hybrid vehicles, diagnosis of the cell degradation is necessary. This can be achieved by monitoring the increase of the internal resistance of the battery cells over the whole lifetime of the battery. In …
Continue reading at www.sciencedirect.com (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
    • G01R31/3662—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
    • G01R31/3644—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
    • G01R31/3606—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
    • 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
    • G01R31/34—Testing dynamo-electric machines
    • G01R31/343—Testing dynamo-electric machines in operation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/0092—Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring current only
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/26—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
    • G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
    • G01R27/08—Measuring resistance by measuring both voltage and current
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply, e.g. by thermoelectric elements
    • G01K7/42—Circuits for reducing thermal inertia; Circuits for predicting the stationary value of temperature
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R35/00—Testing or calibrating of apparatus covered by the preceding groups
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00—Arrangements or instruments for measuring magnetic variables

Similar Documents

Publication Publication Date Title
Remmlinger et al. State-of-health monitoring of lithium-ion batteries in electric vehicles by on-board internal resistance estimation
Remmlinger et al. On-board state-of-health monitoring of lithium-ion batteries using linear parameter-varying models
Lai et al. Parameter sensitivity analysis and simplification of equivalent circuit model for the state of charge of lithium-ion batteries
Song et al. Current profile optimization for combined state of charge and state of health estimation of lithium ion battery based on Cramer–Rao bound analysis
Chen et al. A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
CN107690585B (en) Method and apparatus for determining the state of health and state of charge of a lithium sulfur battery
Hua et al. Finding a better fit for lithium ion batteries: A simple, novel, load dependent, modified equivalent circuit model and parameterization method
Meng et al. Low-complexity online estimation for LiFePO4 battery state of charge in electric vehicles
Lai et al. A comparative study of different equivalent circuit models for estimating state-of-charge of lithium-ion batteries
Zou et al. State-space model with non-integer order derivatives for lithium-ion battery
Waag et al. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles
Lievre et al. Practical online estimation of lithium-ion battery apparent series resistance for mild hybrid vehicles
Xing et al. State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures
Chen et al. A novel approach for state of charge estimation based on adaptive switching gain sliding mode observer in electric vehicles
He et al. Online estimation of model parameters and state-of-charge of LiFePO4 batteries in electric vehicles
Waag et al. Adaptive on-line prediction of the available power of lithium-ion batteries
Andre et al. Advanced mathematical methods of SOC and SOH estimation for lithium-ion batteries
US8374807B2 (en) Method and apparatus that detects state of charge (SOC) of a battery
Sun et al. Optimization of hybrid pulse power characterization profile for equivalent circuit model parameter identification of Li-ion battery based on Taguchi method
Lin et al. Analytic bound on accuracy of battery state and parameter estimation
Shen Improved chaos genetic algorithm based state of charge determination for lithium batteries in electric vehicles
Taborelli et al. State of charge estimation using extended Kalman filters for battery management system
He et al. Modeling of dynamic hysteresis characters for the lithium-ion battery
KR102022426B1 (en) Estimating the state of charge of a battery
Li et al. Multicell state estimation using variation based sequential Monte Carlo filter for automotive battery packs