2results about How to "Different shapes" patented technology

The application relates to the field of new energy batteries, in particular to a positive pole piece, a preparation method thereof and a battery; the positive pole piece comprises a current collector, a positive pole active material layer arranged on at least one side of the current collector in the thickness direction and a glue layer arranged on the surface of the positive pole active material layer away from the current collector; the glue layer comprises a binder; the thickness ratio of the glue layer to the positive pole active material layer is 1: (10-100). The setting of the protective layer in the positive pole piece facilitates long-term storage and classification and temperature and humidity control of the positive pole piece; in the battery assembly process, the protective layer is peeled off, and the remaining current collector and coating structure are assembled with a diaphragm, a negative pole piece and other battery components, the operation is simple and easy to operate. Meanwhile, the setting of the glue layer can avoid energy loss caused by dropping of the positive pole active material.

The application discloses an iterative unsupervised non-intrusive load identification method and system, and the method comprises the following steps: obtaining a load power time sequence; pre-processing the load power time sequence; detecting key points of the load power time sequence; extracting a load power subsequence and matching the load power subsequence with a template; judging whether the number of unknown load power subsequences accumulates to 30; performing theme discovery on the load power subsequence; judging whether the number of subsequences in each group in a non-directional graph is not less than 10; performing electrical appliance power waveform theme sequence mode mining; constructing corresponding electrical appliance load mark templates, and updating a load mark template library of a non-intrusive load monitoring system; and the system comprises corresponding processing modules. The application can autonomously discover simple and complex power consumption modes of different types of electrical appliances in various unfamiliar scenes, and is suitable for the diversity of power consumption modes of the same type of electrical appliances and the difference of power consumption modes of the same electrical appliance.