Method of acquiring mass battery data of storage power station
A battery data and energy storage power station technology, applied in the field of collection, can solve the problems of adverse effects on the reliability and life of the collection equipment, reliability and timeliness cannot be guaranteed, increase the load and energy consumption of the collection equipment, and achieve data reduction Effects of storage capacity, size reduction, and efficiency improvement
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[0039] Examples:
[0040] Taking the battery voltage data detected by the energy storage power station as an example, given one-dimensional battery voltage data v=[v 1 ,v 2 …V n ], v is an N-dimensional column vector, in the example we choose N=1024.
[0041] Determine the sparse transform base Ψ of the voltage vector. Commonly used sparse bases include Discrete Fourier Transform (DFT) basis, Discrete Cosine Transform (DCT) basis and Wavelet Transform (WT) basis, etc. Here, discrete cosine transform (DCT) is adopted:
[0042] Ψ NxN = 1 N 1 1 1 . . . 1 2 cos π 2 N 2 cos 3 π 2 N 2 cos 5 π 2 N . . . 2 cos 2 ( 2 N - 1 ) π 2 N 2 cos 2 π 2 N 2 cos 6 π 2 N 2 cos 10 π 2 N . . . 2 cos 2 ( 2 N - 1 ) π 2 N . . . . . . ...
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