Battery SOC robustness evaluation method based on PLSTM sequence mapping
A sequence and battery technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as incomplete learning, cumulative error of SOC estimation, correction of time cumulative effect without state information, etc., and achieve great practical application value Effect
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[0060] This embodiment adopts the lithium battery dynamic load discharge data disclosed by the Center for Advanced Life Cycle Engineering (CALCE) of the University of Maryland, uses the method of the present invention to carry out battery SOC evaluation, to explain the content of the invention, and further illustrate the use process of the content of the present invention .
[0061] In this embodiment, the selected battery state information parameters include voltage (U) and current (I), and the battery process information parameters refer to the time interval δ between sampling moments k = t k -t k-1 .
[0062] The data set contains four different dynamic load discharge profiles, which are Dynamic Stress Test Profile (DST), Federal Urban Driving Profile (FUDS), Highway Driving Profile (US06) and Beijing Dynamic Stress Test Profile (BJDST). Situation such as image 3 shown.
[0063] In this embodiment, all training processes only use the data of the DST profile, and the t...
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