37results about How to "Fit the actual situation" patented technology

The invention provides a battery pack SOC evaluation method and system. The method comprises the steps of: obtaining a maximum deviation value of battery module SOC values and a battery module SOC average value after obtaining the battery module SOC average value; and using the battery module SOC average value as a battery pack SOC value for output if the maximum deviation value is within an allowable deviation range. If the maximum deviation value is out of the allowable deviation range, the balance condition of the battery module SOC values is relatively poor, and further judgment whether a maximum battery module SOC value or a minimum battery module SOC value deviates most from the battery module SOC average value is needed. Different battery pack SOC algorithms are respectively provided for the two cases, so that the obtained result fits the practical condition of battery modules much better. According to the scheme of the embodiment, the battery pack SOC value is effectively enabled to be smoother, the real capacity of a battery pack is reflected more really, and the overcharging and over-discharging problems of the battery modules are relieved.

The invention relates to an Ad Hoc network virtual backbone node identification method, which belongs to the technical field of communication and solves the problem that the Ad Hoc network backbone nodes cannot be effectively identified in the prior art. The Ad Hoc network virtual backbone node identification method comprises the following steps: distinguishing and locating the nodes in the Ad Hocnetwork through a radio locating method, so as to obtain the number of the nodes, the location information of the nodes, and the size of the node deployment area; obtaining an important communicationdistance according to the number of the nodes and the size of the node deployment area; performing network physical topology inference according to the location information of the nodes and the important communication distance; and performing identification on the virtual backbone nodes using a unified connected dominating set according to the result of the network physical topology inference. The Ad Hoc network virtual backbone node identification method realizes automatic identification of the virtual backbone nodes in the Ad Hoc network. The result obtained by the Ad Hoc network virtual backbone node identification method is beneficial to the protection of the backbone nodes in the network, and improves the overall performance of the Ad Hoc network by improving the operational capability and information processing capability of the backbone nodes.

The invention provides an error characteristic detection method of an extra high voltage capacitive voltage transformer. The method comprises the steps that offline transformer on-site handover detection is carried out on an electromagnetic voltage transformer, and the electromagnetic voltage transformer is corrected according to a detection result; the corrected electromagnetic voltage transformer is used as a standard voltage transformer, and an error online detection device is used to carry out online error detection on the capacitive voltage transformer; the capacitive voltage transformer is respectively connected with a three-phase bus transformer outgoing wire and a high resistance outgoing wire; and the electromagnetic voltage transformer is connected with a bus between the transformer and the high resistance. Compared with the prior art, the error characteristic detection method of the extra high voltage capacitive voltage transformer, which is provided by the invention, has the advantages that online error detection can be carried out on the extra high voltage capacitive voltage transformer, which fits the actual situation of the capacitive voltage transformer; and error measurement is more accurate than offline error detection.