2014
DOI: 10.1109/tie.2013.2263774
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Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells

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Cited by 342 publications
(150 citation statements)
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“…Good modeling method not only considers the electrical characteristic of battery, but also needs to be combined with the working status of battery and charging-discharging strategy [35][36][37]. Because the proposed method requires correction parameters in the operation process, selection of high precision battery model for this method is very important.…”
Section: Suitable Model For Ni-mh Batterymentioning
confidence: 99%
See 1 more Smart Citation
“…Good modeling method not only considers the electrical characteristic of battery, but also needs to be combined with the working status of battery and charging-discharging strategy [35][36][37]. Because the proposed method requires correction parameters in the operation process, selection of high precision battery model for this method is very important.…”
Section: Suitable Model For Ni-mh Batterymentioning
confidence: 99%
“…The basic principle of online identification is to reduce the predictive error, which is based on current value [37]. The parameters of model are identified in real time by using the FFRLS method.…”
Section: The On-line Parameters Identificationmentioning
confidence: 99%
“…To reduce the experimental time, an extrapolation of the results has been made by considering the final voltage a fixed value in all the experiments except the LED LCD case. To characterize the discharge curve of the battery, the state of charge (SOC) is extracted from the linear mapping of the relation between the open-circuit voltage (VOC) and SOC (1) proposed by H. Rahimi-Eichi et al [20].…”
Section: Data Collectionmentioning
confidence: 99%
“…Based on Eq.6 and Eq.10, a OCV model can be expressed as In order to find the parameters of the OCV model under different charge conditions, the method of parameter identification of battery OCV model is proposed based on least square method according to the system identification principle [8]. The value of ( ) OCV U t is measured in different charge conditions to get model parameter groupθ on the basis ofEq.12.…”
Section: The Voltage Characteristic Of Lithium Ion Batterymentioning
confidence: 99%