2results about How to "Accurate detection and judgment" patented technology

The invention provides a battery pack, a battery pack acquisition line impedance anomaly detection method and a vehicle, and relates to the technical field of vehicles. An impedance detection loop composed of a detection switch and a first resistor is arranged in a battery pack, a battery management system obtains a first voltage value and a second voltage value of the input end of an analog-to-digital converter of an analog front-end chip by controlling opening and closing of the detection switch, and then the first voltage value and the second voltage value are obtained by combining a preset impedance judgment threshold value. And whether the acquired line impedance is abnormal can be accurately judged. According to the battery pack provided by the invention, early and accurate detection of the impedance abnormity of the acquisition line can be realized, and the situation that the battery management system misjudges the voltage of the battery monomer due to the impedance abnormity of the acquisition line is avoided, so that potential safety hazards such as over-charge, over-discharge, short circuit and thermal runaway caused by unbalance of charge and discharge strategies are prevented, the after-sales maintenance cost is reduced, and the service life of the battery pack is prolonged. And the operation safety and stability of the power battery pack in a new energy electric vehicle, an energy storage system and industrial equipment are ensured.

The invention provides a wind driven generator surface damage detection method, system and device and a storage medium, and the method comprises the steps: detecting an obtained to-be-detected surface image of a wind driven generator through a trained YOLOv5EMA model to obtain detection feature data, and carrying out the detection of the surface damage of the wind driven generator according to the detection feature data; and determining the probability of judging the to-be-detected surface image of the wind driven generator as a surface damage image, and judging whether the corresponding wind driven generator has surface damage or not based on the probability. According to the method, the YOLOv5EMA model is utilized, the to-be-detected surface image of the wind driven generator is rapidly and accurately detected and judged, the detection efficiency is improved, and the problems that in the prior art, the surface image of the wind driven generator is manually judged based on experience, the judgment efficiency is low, and the misjudgment rate is high are solved. And adverse effects are generated on the surface damage inspection work of the wind driven generator.