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

Lipu et al., 2018 - Google Patents

A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations

Lipu et al., 2018

View PDF
Document ID
11787826883578723906
Author
Lipu M
Hannan M
Hussain A
Hoque M
Ker P
Saad M
Ayob A
Publication year
Publication venue
Journal of cleaner production

External Links

Snippet

Electric vehicles (EVs) have become increasingly popular due to zero carbon emission, reduction of fossil fuel reserve, comfortable and light transport. However, EVs employing lithium-ion battery are facing difficulties in terms of predicting accurate health and remaining …
Continue reading at www.researchgate.net (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
    • G01R31/3651—Software aspects, e.g. battery modeling, using look-up tables, neural networks
    • 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
    • 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
    • H01M10/05—Accumulators with non-aqueous electrolyte
    • H01M10/052—Li-accumulators
    • H01M10/0525—Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodes; Lithium-ion batteries
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10—Energy storage
    • Y02E60/12—Battery technology
    • Y02E60/122—Lithium-ion batteries
    • 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
    • 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
    • H01M10/48—Accumulators combined with arrangements for measuring, testing or indicating condition, e.g. level or density of the electrolyte
    • 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

Similar Documents

Publication Publication Date Title
Lipu et al. A review of state of health and remaining useful life estimation methods for lithium-ion battery in electric vehicles: Challenges and recommendations
Tran et al. A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters
Elmahallawy et al. A comprehensive review of lithium-ion batteries modeling, and state of health and remaining useful lifetime prediction
Li et al. On state-of-charge determination for lithium-ion batteries
Xiong et al. Lithium-ion battery health prognosis based on a real battery management system used in electric vehicles
Yang et al. A novel method on estimating the degradation and state of charge of lithium-ion batteries used for electrical vehicles
Sarmah et al. A review of state of health estimation of energy storage systems: Challenges and possible solutions for futuristic applications of li-ion battery packs in electric vehicles
Li et al. An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network
How et al. State of charge estimation for lithium-ion batteries using model-based and data-driven methods: A review
Dai et al. A novel estimation method for the state of health of lithium-ion battery using prior knowledge-based neural network and Markov chain
Cen et al. Lithium‐ion battery SOC/SOH adaptive estimation via simplified single particle model
Xiong et al. An electrochemical model based degradation state identification method of Lithium-ion battery for all-climate electric vehicles application
Hannan et al. A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations
Oji et al. Data-driven methods for battery soh estimation: Survey and a critical analysis
Ungurean et al. Battery state of health estimation: a structured review of models, methods and commercial devices
Wang et al. An adaptive remaining energy prediction approach for lithium-ion batteries in electric vehicles
Wang et al. Probability based remaining capacity estimation using data-driven and neural network model
Vennam et al. A survey on lithium-ion battery internal and external degradation modeling and state of health estimation
Wang et al. A method for state-of-charge estimation of Li-ion batteries based on multi-model switching strategy
Wang et al. Online state of charge estimation for the aerial lithium-ion battery packs based on the improved extended Kalman filter method
Nyamathulla et al. A review of battery energy storage systems and advanced battery management system for different applications: Challenges and recommendations
Samadani et al. A review study of methods for lithium-ion battery health monitoring and remaining life estimation in hybrid electric vehicles
Chen et al. Analysis and prediction of the discharge characteristics of the lithium–ion battery based on the Grey system theory
Li et al. Multi-state joint estimation for a lithium-ion hybrid capacitor over a wide temperature range
Tian et al. A comparative study of state-of-charge estimation algorithms for lithium-ion batteries in wireless charging electric vehicles