Sarmah et al., 2019 - Google Patents
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 vehiclesSarmah et al., 2019
View HTML- Document ID
- 15499734310200188913
- Author
- Sarmah S
- Kalita P
- Garg A
- Niu X
- Zhang X
- Peng X
- Bhattacharjee D
- Publication year
- Publication venue
- Journal of Electrochemical Energy Conversion and Storage
External Links
Snippet
Lithium-ion (Li-ion) battery pack is vital for storage of energy produced from different sources and has been extensively used for various applications such as electric vehicles (EVs), watches, cookers, etc. For an efficient real-time monitoring and fault diagnosis of battery …
- 229910001416 lithium ion 0 title abstract description 91
Classifications
-
- 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
-
- 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
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage for electromobility
- Y02T10/7005—Batteries
- Y02T10/7011—Lithium ion battery
-
- 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
-
- 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
-
- 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
-
- H—ELECTRICITY
- H01—BASIC ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL INTO ELECTRICAL ENERGY
- H01M2/00—Constructional details or processes of manufacture of the non-active parts
Similar Documents
Publication | Publication Date | Title |
---|---|---|
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 | |
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 | |
Hu et al. | State estimation for advanced battery management: Key challenges and future trends | |
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 | |
Li et al. | Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: a review | |
Jiang et al. | State of health estimation of second-life LiFePO4 batteries for energy storage applications | |
Liu et al. | Degradation model and cycle life prediction for lithium-ion battery used in hybrid energy storage system | |
Hannan et al. | A review of lithium-ion battery state of charge estimation and management system in electric vehicle applications: Challenges and recommendations | |
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 | |
Cen et al. | Lithium‐ion battery SOC/SOH adaptive estimation via simplified single particle model | |
Zhang et al. | Battery modelling methods for electric vehicles-A review | |
Waag et al. | Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application | |
Fathoni et al. | Comparison of State-of-Charge (SOC) estimation performance based on three popular methods: Coulomb counting, open circuit voltage, and Kalman filter | |
US10539621B2 (en) | Method and apparatus for identifying a battery model | |
Lotfi et al. | Li-ion battery state of health estimation based on an improved single particle model | |
Xia et al. | A modified reliability model for lithium-ion battery packs based on the stochastic capacity degradation and dynamic response impedance | |
Niu et al. | A coupled electrochemical-mechanical performance evaluation for safety design of lithium-ion batteries in electric vehicles: An integrated cell and system level approach | |
Urquizo et al. | A review of health estimation methods for Lithium-ion batteries in Electric Vehicles and their relevance for Battery Energy Storage Systems | |
Sangiri et al. | A novel methodology to estimate the state-of-health and remaining-useful-life of a Li-ion battery using discrete Fourier transformation | |
Peng et al. | Real-time state of charge estimation of the extended Kalman filter and unscented Kalman filter algorithms under different working conditions | |
Tian et al. | Performance analysis and modeling of three energy storage devices for electric vehicle applications over a wide temperature range | |
Estevez et al. | Aging estimation of lithium ion cells under real-world conditions through mechanical stress measurements | |
Darcovich et al. | Operational intra-cycle temporal and current mode effects on battery capacity loss | |
Samad et al. | Influence of battery downsizing and SOC operating window on battery pack performance in a hybrid electric vehicle |