Lu et al., 2021 - Google Patents
Optimal Charging of Lithium-ion Batteries Based on Model Predictive Control Considering Lithium Plating and Cell TemperatureLu et al., 2021
- Document ID
- 7966337985835617718
- Author
- Lu Y
- Han X
- Zhao G
- Lu L
- Ouyang M
- Publication year
- Publication venue
- 2021 6th International Conference on Power and Renewable Energy (ICPRE)
External Links
Snippet
Fast charging is crucial for applications of lithium-ion batteries in energy power systems. In this paper, a novel optimal charging strategy based on the model predictive control considering lithium plating and cell temperature is proposed. This method maximizes the …
- 238000007600 charging 0 title abstract description 73
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
-
- 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
- H01M10/42—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
- 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
-
- 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
- H02J7/007—Regulation of charging current or voltage
-
- 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 |
---|---|---|
Wu et al. | State of charge estimation of lithium-ion batteries over wide temperature range using unscented Kalman filter | |
Azis et al. | State of charge (SoC) and state of health (SoH) estimation of lithium-ion battery using dual extended kalman filter based on polynomial battery model | |
JP7095110B2 (en) | Battery status estimation method | |
Che et al. | SOC and SOH identification method of li-ion battery based on SWPSO-DRNN | |
Jiang et al. | A cell-to-pack state estimation extension method based on a multilayer difference model for series-connected battery packs | |
Chaoui et al. | Adaptive state of charge estimation of lithium-ion batteries with parameter and thermal uncertainties | |
Liu et al. | Online identification of power battery parameters for electric vehicles using a decoupling multiple forgetting factors recursive least squares method | |
Tan et al. | Joint estimation of ternary lithium-ion battery state of charge and state of power based on dual polarization model | |
LeBel et al. | Lithium-ion cell equivalent circuit model identification by galvanostatic intermittent titration technique | |
Ting et al. | State-of-Charge for Battery Management System via Kalman Filter. | |
Jiang et al. | A novel adaptive extended Kalman filtering and electrochemical-circuit combined modeling method for the online ternary battery state-of-charge estimation | |
Cui et al. | Online identification and reconstruction of open-circuit voltage for capacity and electrode aging estimation of lithium-ion batteries | |
Lu et al. | Optimal Charging of Lithium-ion Batteries Based on Model Predictive Control Considering Lithium Plating and Cell Temperature | |
Shrivastava et al. | Lithium-ion battery model parameter identification using modified adaptive forgetting factor-based recursive least square algorithm | |
CN111027203A (en) | Super capacitor SOC calculation method | |
Rasheed et al. | Active Reconditioning of Retired Lithium-ion Battery Packs from Electric Vehicles for Second Life Applications | |
Li et al. | A novel state of charge estimation for energy storage systems based on the joint NARX network and filter algorithm | |
Tian et al. | An intelligent charging scheme for lithium-ion batteries of electric vehicles considering internal attenuation modes | |
Yin et al. | Study on the Effect of High Temperature and High-Current Rate on Fast Charging of Lithium-ion Batteries | |
Rukavina et al. | Identification of equivalent circuit model parameters for a Li-ion battery cell | |
Romero et al. | Fast charge of Li-ion batteries using a two-layer distributed MPC with electro-chemical and thermal constraints | |
Lu et al. | Multi-objective Optimal Charging Strategy for Lithium-ion Battery based on Model Predictive Control and Li plating Detection | |
Lu et al. | Optimal Charging Strategy for Lithium-Ion Batteries Based on Model Predictive Control with Coupled Thermal-Electric Decomposed Electrode Model | |
Yao et al. | Modeling of lithium titanate battery for charger design | |
Yang et al. | State of Power Estimation for Lithium-ion Battery Based on Electrochemical Model and Multiple Restrictions |