[go: up one dir, main page]

Anbuky et al., 2000 - Google Patents

Knowledge based VRLA battery monitoring and health assessment

Anbuky et al., 2000

Document ID
3368338296460067006
Author
Anbuky A
Pascoe P
Hunter P
Publication year
Publication venue
INTELEC. Twenty-Second International Telecommunications Energy Conference (Cat. No. 00CH37131)

External Links

Snippet

This paper discusses an approach for utilising on-line continuous measurements including planned tests and unplanned events for the assessment of real-time battery health. Both direct health dependent parameters such as charge and capacity, and indirect operational …
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
    • G01R31/3662—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
    • G01R31/3648—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
    • G01R31/3679—Various constructional arrangements for determining battery ageing or deterioration, e.g. state-of-health (SoH), state-of-life (SoL)
    • 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]
    • G01R31/3624—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] based on combined voltage and current measurement
    • 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
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
    • G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
    • 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
    • G01R19/25—Arrangements for measuring currents or voltages or for indicating presence or sign thereof using digital measurement techniques
    • G01R19/2513—Arrangements for monitoring electric power systems, e.g. power lines or loads; Logging

Similar Documents

Publication Publication Date Title
US20040036475A1 (en) Battery monitoring
AU764412B2 (en) Battery charge measurement and discharge reserve time prediction technique and apparatus
US8407018B2 (en) Battery life estimation
EP1396065B1 (en) Back-up power system
CN109061518A (en) A kind of communication storage battery health degree on-line monitoring method
EP1188063A1 (en) Battery capacity measurement
CN116401585B (en) Energy storage battery failure risk assessment method based on big data
EP1649538B1 (en) Battery float management
WO2021179639A1 (en) Method for assessing rechargeable battery health level, apparatus, and storage medium
Anbuky et al. Knowledge based VRLA battery monitoring and health assessment
CN113167835A (en) Method and apparatus for determining maximum usage duration of a battery
Pascoe et al. Standby power system VRLA battery reserve life estimation scheme
Gun et al. Increasing UPS battery life main failure modes, charging and monitoring solutions
CN119010129A (en) Energy storage optimization method based on online nuclear capacity of storage battery of transformer substation
WO2024057996A1 (en) Electricity storage element degradation state calculating device, degradation state calculating method, degradation state calculating program, degradation state estimating device, degradation state estimating method, abnormality detecting device, and abnormality detecting method
CN117949851A (en) A battery state joint estimation method and system
Sasikumar et al. Using an Extreme Learning Machine and an Extended Kalman Filter, State of Charge Estimation for Lithium-Ion Batteries
WO2023181111A1 (en) Information processing device, information processing method, information processing system, and computer program
ArulKumar et al. Estimating Lithium-Ion Battery State of Health with Least Squares Approach for Accurate Assessment
Deshpande et al. Intelligent monitoring system satisfies customer needs for continuous monitoring and assurance on VRLA batteries
Hawkins et al. AC impedance spectra of field-aged VRLA batteries
Gotaas et al. Single cell battery management systems (BMS)
CN108336729A (en) A kind of power system operating mode based on abnormal disturbances entropy methods of risk assessment and system a few days ago
US20240369640A1 (en) Battery management system, battery management method, and battery management program
Cortes et al. Neural Network–based Life Health Estimation of Valve–regulated Lead Acid Batteries