Antonucci et al., 2019 - Google Patents
Li-ion battery modeling and state of charge estimation method including the hysteresis effectAntonucci et al., 2019
View HTML- Document ID
- 27231898208871291
- Author
- Antonucci V
- Artale G
- Brunaccini G
- Caravello G
- Cataliotti A
- Cosentino V
- Di Cara D
- Ferraro M
- Guaiana S
- Panzavecchia N
- Sergi F
- Tinè G
- Publication year
- Publication venue
- Electronics
External Links
Snippet
In this paper, a new approach to modeling the hysteresis phenomenon of the open circuit voltage (OCV) of lithium-ion batteries and estimating the battery state of charge (SoC) is presented. A characterization procedure is proposed to identify the battery model …
- 229910001416 lithium ion 0 title abstract description 23
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Campagna et al. | Battery models for battery powered applications: A comparative study | |
Zhang et al. | A study on the open circuit voltage and state of charge characterization of high capacity lithium-ion battery under different temperature | |
Tran et al. | Sensor fault detection and isolation for degrading lithium-ion batteries in electric vehicles using parameter estimation with recursive least squares | |
Bao et al. | Online internal resistance measurement application in lithium ion battery capacity and state of charge estimation | |
Stroe et al. | Generalized characterization methodology for performance modelling of lithium-ion batteries | |
Zeng et al. | An online state of charge estimation algorithm for lithium-ion batteries using an improved adaptive cubature Kalman filter | |
Xu et al. | State of charge estimation for lithium-ion batteries based on temperature-dependent second-order RC model | |
Zheng et al. | State of charge estimation for power lithium-ion battery using a fuzzy logic sliding mode observer | |
He et al. | Adaptive state of charge estimation for Li-ion batteries based on an unscented Kalman filter with an enhanced battery model | |
He et al. | Comparison study on the battery SoC estimation with EKF and UKF algorithms | |
Xia et al. | A novel observer for lithium-ion battery state of charge estimation in electric vehicles based on a second-order equivalent circuit model | |
Zhang et al. | Estimation of state of charge of lithium-ion batteries used in HEV using robust extended Kalman filtering | |
Xu et al. | A method to simultaneously detect the current sensor fault and estimate the state of energy for batteries in electric vehicles | |
Fang et al. | A state of health estimation method for lithium-ion batteries based on voltage relaxation model | |
Tian et al. | An adaptive gain nonlinear observer for state of charge estimation of lithium-ion batteries in electric vehicles | |
Somakettarin et al. | Study on factors for accurate open circuit voltage characterizations in Mn-type Li-ion batteries | |
Theuerkauf et al. | Characteristics of open circuit voltage relaxation in lithium-ion batteries for the purpose of state of charge and state of health analysis | |
Jiang et al. | Online reliable peak charge/discharge power estimation of series-connected lithium-ion battery packs | |
Ma et al. | State of charge estimation of a lithium ion battery based on adaptive Kalman filter method for an equivalent circuit model | |
Antonucci et al. | Li-ion battery modeling and state of charge estimation method including the hysteresis effect | |
Zhang et al. | Online diagnosis for the capacity fade fault of a parallel-connected lithium ion battery group | |
Lai et al. | An all-region state-of-charge estimator based on global particle swarm optimization and improved extended kalman filter for lithium-ion batteries | |
Yang et al. | Rapid prediction of the open-circuit-voltage of lithium ion batteries based on an effective voltage relaxation model | |
Chen et al. | A time-efficient and accurate open circuit voltage estimation method for lithium-ion batteries | |
Zhang et al. | Parameters identification and sensitive characteristics analysis for lithium-ion batteries of electric vehicles |