4 results about "Current–voltage characteristic" patented technology

The invention relates to the technical field of photovoltaic power generation, and discloses a current and voltage characteristic curve generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a historical maximum power point voltage value of a target photovoltaic array; based on the historical maximum power point voltage value, determining a maximum power point current value corresponding to the historical maximum power point at the current moment; determining a scanning upper limit current value based on the maximum power point current value; acquiring a scanning lower limit current value; and performing current scanning on the target photovoltaic array based on the scanning upper limit current value and the scanning lower limit current value to obtain a plurality of current and voltage data pairs of the target photovoltaic array so as to generate a target current and voltage characteristic curve of the target photovoltaic array. The corresponding scanning upper limit current value is determined according to the current working condition of the photovoltaic array, the accuracy of the generated IV characteristic curve is improved, and the safety of the photovoltaic array is improved.

The invention relates to material quality metrics and methods of use thereof. Mobile ion characteristics of a material are measured via administration of a stability test. The stability test comprises an assessment of current voltage characteristics and transient current response conducted at a series of temperatures with varying device architectures.

The application discloses a low-voltage direct-current arc hidden danger identification method based on information fusion, first, a mathematical model of an arc is established, and a direct-current microgrid arc fault test simulation platform is built; an arc fault is simulated, fault branch voltage and non-fault branch voltage are collected, time domain characteristics of the voltage are extracted, and FFT analysis is performed on the voltage, so that a fundamental component and a proportion of components in each characteristic frequency band are obtained; characteristics such as voltage offset, voltage change rate, harmonic distortion rate and oscillation frequency are analyzed, an arc fault voltage characteristic matrix is obtained, and arc characteristics under different fault positions are researched; whether an arc fault occurs in the system is judged according to the direct-current voltage characteristics, and fault positioning is performed according to a fault voltage harmonic distortion rate. The arc fault identification method analyzes arc fault types from fault branch voltage and non-fault branch voltage characteristics, and precise positioning is realized.

The invention provides an SOC online correction method and device, electronic equipment and a storage medium, and relates to the technical field of batteries, and the method comprises the steps: determining a current voltage characteristic index based on current charging data; after detecting that the current voltage characteristic index sequentially meets a preset first characteristic and a preset second characteristic, determining a current SOC reference value based on a preset SOC true value corresponding to a maximum value in response to the identified maximum value of the current voltage characteristic index; and after detecting that the current voltage characteristic index meets a preset third characteristic, correcting the current SOC estimated value based on the current SOC reference value in response to the fact that the deviation between the current SOC estimated value and the current SOC reference value exceeds a preset precision range. The SOC online correction method provided by the invention is not restricted by the limitation of specific working conditions and is not influenced by the uncertainty of complex working conditions, the correction probability and the correction reliability can be improved on the basis of avoiding misrecognition, and the SOC estimation accuracy is comprehensively improved.