Research of System Identification for Ni/MH Battery State of Charge Based on a Short Sequence and Multi-Sample Process

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In the battery state of charge of a systematic analysis, the observed data has a property that is the direction of time t (referred to as vertical) for a limited length, and number of samples obtained by N (called horizontal) for the infinite data set , it is called as a short sequence and multi-sample time series. By studying the characteristic of this time series, a new system identification method has been proposed, and the system identifiability for this process has been demonstrated. Through practice simulations, a satisfactory application results have been obtained. This feature of the time series identification problem is the same in other areas have a certain reference value.

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Edited by:

Junqiao Xiong

Pages:

322-327

Citation:

J. X. Long et al., "Research of System Identification for Ni/MH Battery State of Charge Based on a Short Sequence and Multi-Sample Process", Advanced Materials Research, Vol. 586, pp. 322-327, 2012

Online since:

November 2012

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$38.00

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DOI: https://doi.org/10.4028/www.scientific.net/amm.66-68.583