Abstract: The present disclosure relates to a positive electrode material for a lithium ion battery and its preparation. The positive electrode material in accordance with the present disclosure has an intrinsic specific surface area of 5-13 m2/g. The positive electrode material in accordance with the present disclosure has an intrinsic specific surface area and an intrinsic pore size within the required ranges. In this regard, the positive electrode material in accordance with the present disclosure has excellent particle strength, excellent Li ion transference ability, and good resistance to electrolyte erosion. When used in lithium batteries, it may impart the batteries with excellent rate performance and cycle performance. The present disclosure also relates to a method for preparing the positive electrode material.

Abstract: A positive electrode material, a preparation method therefor, and an application thereof are disclosed. The cathode material is composed of secondary particles agglomerated by primary particles; wherein individual secondary particle contains an inner core structure, a middle layer, and a shell layer, in this order, along a direction from a center to a surface of the secondary particle; wherein the middle layer is distributed in a circular ring shape; and wherein the secondary particle has a structure of close packing of an inner core structure, loose and porous middle layer, and close packing of the shell layer.

Abstract: A deep neural network-based method for detecting living cell morphology may include identifying and locating one or more living cells within an acquired image to be detected by using a deep neural network-based target detection model, so as to extract one or more living single cell images. segmenting the image of the one or more living single cells by using a deep neural network-based cell segmentation model, so as to obtain one or more feature part of the one or more living single cells. and analyzing and determining a morphological parameter of the one or more living single cells based on the one or more feature parts. Thus, the activity of the detected cells can be ensured, and a non-destructive, accurate, and rapid detection of living cell morphology can be achieved.

Abstract: An electric motorcycle includes a battery pack, a controller and a charging device arranged in sequence along the height direction of the frame. The battery pack and the charging device are positioned on the frame adjacent to the front wheel. The rear suspension comprises a rear fork and a shock absorber connected to the frame by a shaft, the rear fork is connected to the rear wheel, and the electric motor is arranged on the rear fork. The center of gravity of the electric motorcycle is lower. The electric motorcycle can run stably even at a speed of 120 km/h.