Abstract: The invention discloses a charging state analysis method of a electric vehicle based on electrical characteristic sequence analysis. The method includes following steps: step S1, obtaining voltage sampling data and current sampling data of the electric vehicle during charging; step S2, setting a time interval, so as to divide the voltage sample data and the current sampling data obtained in step S1 into multiple data sets; step S3, calculating an electrical characteristic vector of each time interval; step S4. adding the calculation results of Step S3 to a temperature sensing value T, and generate an electrical characteristic sequence of whole charging cycle; step S5, inputting the electrical characteristic sequence of the electric vehicle into a trained Time Recurrent Neural Network (TRNN) in sequence to obtain corresponding results; if the result is 1, it means normal; if the result is 0, it means abnormal.

Abstract: The invention discloses a method of photovoltaic cell parameter identification based on the improved equilibrium optimizer algorithm, which comprises: step 1, establishing PV cell model and fitness function; step 2, based on the measured output I-V data, predicting output data of PV cell by a BP neural network; step 3, identifying PV cell parameters by using IEO algorithm until convergence conditions of the IEO algorithm are reached, and finally outputting the optimal identified parameters. Solving technical problems of the existing technology such as, cannot reach the optimal parameter identification, and being easy to be trapped into the local optimal.

Abstract: A non-intrusive load identification method based on the Power Fingerprint characteristics of the load is provided. The method includes: S1, collecting Power Fingerprint characteristic data of several loads of the same type; S2, after preprocessing Power Fingerprint characteristic data of load, establishing convolution neural network based on attention mechanism to learn load characteristics; S3, using sliding time window algorithm to realize load switching event detection, In order to extract the change of electrical data of user bus before and after the switching event, the non-intrusive load identification problem is converted into the single load identification problem; S4, the load identification is realized, and the extracted electrical information features of single load are identified using the trained model.

Abstract: The present invention discloses a microencapsuled conjugated linoleic acid glyceride powder and a preparation method thereof. The preparation method comprises the steps of preparing raw materials, preparing an aqueous phase and an oil phase, preparing an emulsion, and spray drying. The raw materials comprise, in parts by mass: 60-85 parts of conjugated linoleic acid glyceride, 5-35 parts of starch or colloid, 4-20 parts of small molecule filler, and 0.01-5 parts of antioxidant.

Abstract: The present application provides an engine cooling system, which includes: a coolant pump; a cylinder body (22) and a cylinder cover (24), which include inside coolant passages for receiving coolant from the coolant pump, conduct heat exchange through a coolant outlet of the cylinder head (24), and send parts of the coolant back to the coolant pump; a transmission oil cooler (60) for receiving parts of the coolant from the cylinder head (24), and allowing the parts of the coolant to flow back to the coolant pump after heat exchange; the cylinder head (24) includes an upper water jacket and a lower water jacket, a temperature of the coolant output by the upper water jacket of the cylinder head is higher than a temperature of the coolant output by the lower water jacket of the cylinder head.