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346 results about "Data series" patented technology

Data Series: A group of related data points or markers that are plotted in charts and graphs. Examples of a data series include individual lines in a line graph or columns in a column chart. When multiple data series are plotted in one chart, each data series is identified by a unique color or shading pattern.

Method for remain useful life prognostic of lithium ion battery with model active updating strategy

InactiveCN103778280AEasy Adaptive AcquisitionFlexible inferenceElectrical testingSpecial data processing applicationsHealth indexEngineering
The invention relates to a method for remain useful life prognostic of a lithium ion battery with a model active updating strategy. According to a time series obtained through a voltage range of a discharge curve, conversion is conducted so that an equivalent discharge difference series obtained by discharge circulation at each time can be obtained, and therefore a health index time series of the ion battery is obtained; according to correspondence of a discharge voltage series and a time series, prognostic is conducted on the health index series to determine the remain useful life of the battery. Sampling entropy characteristic extraction and modeling are conducted on a charge voltage curve so that a relationship between a complete and accurate charge / discharge process and a battery performance index can be provided. On the basis of a performance index model, a short-term time series prognostic result is continuously updated to a known performance index data series and correlation analysis is conducted. According to the difference of the correlation degrees, retraining is conducted in the mode of training set expansion. The method is different from an existing iteration updating draining method, the prognostic model is updated dynamically, and therefore the prognostic precision is improved.
Owner:SHANGHAI JIAO TONG UNIV

Step stress accelerated degradation data assessment method based on gray prediction models

InactiveCN102629300AOvercoming the shortcomings of the linearization assumptionImprove forecast accuracySpecial data processing applicationsModel parametersAssessment methods
Disclosed is a step stress accelerated degradation data assessment method based on gray prediction models, which includes five steps: step one: performing primary process and conversion to test data to obtain data series of performance degradation volume of each test sample under each stress level; step two: building prediction models through gray prediction, calculating model parameters, and testing prediction accuracy of each model; step three: calculating the time when each sample reaches a degradation threshold Df under a stress level Sa to obtain life distribution types of samples and general parameters under each stress level; step four: finding relationship equations between general parameters and stress levels, namely, acceleration equations; and step five: estimating product general distribution parameters under normal stress levels through extrapolation methods according to the acceleration equations, and obtaining product reliability functions under normal use conditions according to the estimated values of general parameters. According to the assessment method, gray system fitting product degradation path is utilized so that defects of other models are overcome and the prediction accuracy is improved.
Owner:BEIHANG UNIV
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