[go: up one dir, main page]

Tashakor et al., 2021 - Google Patents

Low-cost parameter estimation approach for modular converters and reconfigurable battery systems using dual kalman filter

Tashakor et al., 2021

View PDF
Document ID
18202929176612970180
Author
Tashakor N
Arabsalmanabadi B
Naseri F
Goetz S
Publication year
Publication venue
IEEE Transactions on Power Electronics

External Links

Snippet

Modular converters or reconfigurable battery energy storage systems are a promising approach to eliminate the dependence on the weakest element in previously hard-wired battery packs and to combine heterogeneous batteries (so-called mixed-battery systems) …
Continue reading at dukespace.lib.duke.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
    • 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
    • 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
    • H02J7/0014—Circuits for equalisation of charge between batteries
    • H02J7/0016—Circuits for equalisation of charge between batteries using shunting, discharge or bypass circuits
    • 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
    • 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]
    • 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
    • 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
    • H02J1/00—Circuit arrangements for dc mains or dc distribution networks

Similar Documents

Publication Publication Date Title
Tashakor et al. Low-cost parameter estimation approach for modular converters and reconfigurable battery systems using dual kalman filter
Ren et al. Design and implementation of a battery management system with active charge balance based on the SOC and SOH online estimation
Din et al. A scalable active battery management system with embedded real-time electrochemical impedance spectroscopy
Dai et al. Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications
Rahmoun et al. Modelling of Li-ion batteries using equivalent circuit diagrams
US9575135B2 (en) Battery monitoring circuit, apparatus and method
Dai et al. Cell-BMS validation with a hardware-in-the-loop simulation of lithium-ion battery cells for electric vehicles
US8648602B2 (en) Battery impedance detection system, apparatus and method
CN115666999A (en) Modular energy storage system
Jang et al. Equivalent circuit evaluation method of lithium polymer battery using bode plot and numerical analysis
Pavkovic et al. Dual EKF-based state and parameter estimator for a LiFePO 4 battery cell
Bašić et al. Dynamic equivalent circuit models of lead-acid batteries–a performance comparison
Li et al. A nonlinear adaptive observer approach for state of charge estimation of lithium-ion batteries
US20240230770A9 (en) Battery measurement method and apparatus
Castano-Solis et al. Hybrid characterization procedure of Li-ion battery packs for wide frequency range dynamics applications
Lin et al. A novel low-cost online state of charge estimation method for reconfigurable battery pack
Nobile et al. Multi-criteria experimental comparison of batteries circuital models for automotive applications
Chen et al. Data-driven statistical analysis and diagnosis of networked battery systems
KR20230160285A (en) Battery system and battery management method
Tashakor et al. Module Voltage and Resistance Estimation of Battery-Integrated Cascaded Converters through Output Sensors Only for EV Applications
Othman et al. Analysis of online lyapunov-based adaptive state of charge observer for lithium-ion batteries under low excitation level
Hu et al. Novel Passive Equalization Methods for Lithium-Ion Batteries Utilizing Real-Time Internal Resistance Measurements
Enache et al. Modelling the Discharge of a Lithium Iron Phosphate Battery at Low Temperatures
Tashakor et al. Estimation of battery parameters in cascaded half-bridge converters with reduced voltage sensors
Tashakor et al. Voltage and resistance estimation of battery-integrated cascaded converters