Intelligent detection processing method for abnormal charging data of charging pile

Abstract

The invention discloses an intelligent detection processing method for abnormal charging data of a charging pile, and relates to the technical field of intelligent charging, and the method comprises the following steps: S1, collecting the operation state data of a target charging pile, carrying out the real-time deviation monitoring analysis of the operation state data, carrying out the comparative analysis of an obtained operation deviation index, and if no abnormal signal is generated, executing the step S2; if so, entering S2 and S4; if an abnormal prompt signal is generated, the parameter deviation value is further compared and analyzed, and if a high-risk signal is generated, management intervention is triggered. According to the method, basic data is subjected to adjustment adaptability analysis in a layered progressive mode, the charging power of the charging pile is reasonably adjusted according to information feedback conditions, potential safety hazards possibly existing in the charging process are reduced, analysis is performed from the angle of the charging power, the health management strategy of the charging pile is optimized, and the charging efficiency is improved. The operation stability of the charging pile is improved, and potential damage of the charging pile to an electric vehicle battery is reduced.

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