[go: up one dir, main page]

Zhou et al., 2020 - Google Patents

A review of state-of-health estimation of lithiumion batteries: experiments and data

Zhou et al., 2020

Document ID
13734950357210957301
Author
Zhou R
Fu S
Peng W
Publication year
Publication venue
2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM)

External Links

Snippet

Accurate state-of-health (SOH) estimation of Lithiumion batteries (LIBs) is crucial for Battery Management System (BMS) in electric vehicles (EVs). To develop a practical SOH estimation matched with high precision, experimental data, battery model and estimation …
Continue reading at ieeexplore.ieee.org (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
    • G01R31/3644Various 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
    • G01R31/3644Various constructional arrangements
    • G01R31/3679Various constructional arrangements for determining battery ageing or deterioration, e.g. state-of-health (SoH), state-of-life (SoL)
    • 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]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage
    • Y02E60/12Battery technology
    • Y02E60/122Lithium-ion batteries
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H01M2010/4271Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/05Accumulators with non-aqueous electrolyte
    • H01M10/052Li-accumulators
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44Methods for charging or discharging
    • H01M10/446Initial charging measures
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01MPROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
    • H01M10/00Secondary cells; Manufacture thereof
    • H01M10/42Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/48Accumulators combined with arrangements for measuring, testing or indicating condition, e.g. level or density of the electrolyte
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage for electromobility
    • Y02T10/7005Batteries
    • Y02T10/7011Lithium ion battery

Similar Documents

Publication Publication Date Title
Ma et al. Remaining useful life prediction of lithium-ion battery based on Gauss–Hermite particle filter
Elmahallawy et al. A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction
Tan et al. Real-time state-of-health estimation of lithium-ion batteries based on the equivalent internal resistance
Xiong et al. Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles
Zheng et al. Fault identification and quantitative diagnosis method for series-connected lithium-ion battery packs based on capacity estimation
Ungurean et al. Battery state of health estimation: a structured review of models, methods and commercial devices
Chen et al. A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
Ma et al. A mechanism identification model based state-of-health diagnosis of lithium-ion batteries for energy storage applications
Huang et al. State of health estimation of lithium-ion batteries based on the regional frequency
Liu et al. Online health prognosis for lithium-ion batteries under dynamic discharge conditions over wide temperature range
US8531158B2 (en) Method and apparatus for assessing battery state of health
US8680815B2 (en) Method and apparatus for assessing battery state of health
Li et al. Investigation on the impact of the hppc profile on the battery ecm parameters’ offline identification
Thingvad et al. Characterization of nmc lithium-ion battery degradation for improved online state estimation
Liu et al. Battery degradation model and multiple-indicators based lifetime estimator for energy storage system design and operation: Experimental analyses of cycling-induced aging
Li et al. The open-circuit voltage characteristic and state of charge estimation for lithium-ion batteries based on an improved estimation algorithm
Li et al. Lithium-ion battery management system for electric vehicles
Song et al. Series-connected lithium-ion battery pack health modeling with cell inconsistency evaluation
Pillai et al. Performance analysis of empirical open-circuit voltage modeling in lithium ion batteries, part-1: Performance measures
Zhou et al. A review of state-of-health estimation of lithiumion batteries: experiments and data
Wang et al. Online capacity estimation of lithium-ion batteries by partial incremental capacity curve
US11762032B2 (en) Diagnosis method of battery, diagnosis device of battery, diagnosis system of battery, battery-mounted device, and non-transitory storage medium
Wen et al. A Fast Estimation Algorithm for State of Health of Lithium-ion Battery Modules Based on Lorenz Plot
Chen et al. Battery health assessment and life prediction in battery management system
Sahoo et al. Soc and soh prediction of pevs using different machine learning techniques