Yang et al., 2022 - Google Patents
A novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteriesYang et al., 2022
- Document ID
- 953846487900815745
- Author
- Yang X
- Wang S
- Xu W
- Qiao J
- Yu C
- Takyi-Aninakwa P
- Jin S
- Publication year
- Publication venue
- Electrochimica Acta
External Links
Snippet
The state of charge (SOC) and state of energy (SOE) are the key indices of the battery management system (BMS) of lithium-ion batteries. Based on the second-order resistor- capacitor equivalent circuit model and online parameter identification using variable …
- 229910001416 lithium ion 0 title abstract description 55
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
-
- 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
- Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
- Y02E60/76—Computer aided design [CAD]; Simulation; Modelling
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Yang et al. | A novel fuzzy adaptive cubature Kalman filtering method for the state of charge and state of energy co-estimation of lithium-ion batteries | |
| He et al. | State-of-charge estimation of lithium ion batteries based on adaptive iterative extended Kalman filter | |
| Lin et al. | State of charge estimation with the adaptive unscented Kalman filter based on an accurate equivalent circuit model | |
| Wang et al. | An adaptive working state iterative calculation method of the power battery by using the improved Kalman filtering algorithm and considering the relaxation effect | |
| Peng et al. | An improved state of charge estimation method based on cubature Kalman filter for lithium-ion batteries | |
| Xiao et al. | Accurate state-of-charge estimation approach for lithium-ion batteries by gated recurrent unit with ensemble optimizer | |
| Xuan et al. | Real-time estimation of state-of-charge in lithium-ion batteries using improved central difference transform method | |
| Chen et al. | State-of-charge estimation of lithium-ion batteries based on improved H infinity filter algorithm and its novel equalization method | |
| CN110596593B (en) | Lithium ion battery SOC estimation method based on intelligent adaptive extended Kalman filtering | |
| CN113156321B (en) | A method for estimating the state of charge SOC of lithium-ion batteries | |
| Shrivastava et al. | Model‐based state of X estimation of lithium‐ion battery for electric vehicle applications | |
| Wang et al. | State of charge estimation for lithium-ion battery based on improved online parameters identification and adaptive square root unscented Kalman filter | |
| Wu et al. | State of charge estimation of Power lithium-ion battery based on an Affine Iterative Adaptive Extended Kalman Filter | |
| CN107831448B (en) | A kind of state-of-charge estimation method of parallel connection type battery system | |
| CN114740375A (en) | Online lithium battery state of charge estimation method based on state estimation | |
| CN105842633A (en) | Method for estimating SOC (State of Charge) of lithium ion battery based on gray extended Kalman filtering algorithm | |
| Pai et al. | Online estimation of lithium-ion battery equivalent circuit model parameters and state of charge using time-domain assisted decoupled recursive least squares technique | |
| CN113761726A (en) | A lithium battery parameter identification method and system | |
| Kong et al. | A novel parameter adaptive method for state of charge estimation of aged lithium batteries | |
| CN113608121A (en) | Lithium battery SOC estimation method based on fuzzy fractional unscented Kalman filter | |
| CN114295987B (en) | A battery SOC state estimation method based on nonlinear Kalman filtering | |
| Huang et al. | State of charge estimation of li-ion batteries based on the noise-adaptive interacting multiple model | |
| CN115494398A (en) | A battery SOC estimation method and system based on fusion filtering strategy | |
| CN117538764A (en) | Method and system for estimating state of charge of power lithium battery | |
| CN117741445A (en) | A method for parameter identification and SOC estimation of lithium battery for energy storage |