Abstract: A battery includes a battery cell and a packaging body, an edge of at least one side of the packaging body is provided with a sealing region to seal and wrap the battery cell body in the packaging body, and the packaging body includes a heat sealing layer; and in the sealing region, a side, away from the battery cell body, of the heat sealing layer is an outer sealing side, a side, close to the battery cell body, of the heat sealing layer is an inner sealing side, and a crystallinity of the outer sealing side is greater than a crystallinity of the inner sealing side. The battery includes the packaging body with a high packaging strength and a strong resistance to bending, which may more effectively block water vapor from entering a battery, and also improves safety performance and a service life of a battery.

Abstract: A modeling method for electromagnetic forces and vibration response of a SPM machine, belonging to the field of combined electromagnetic field and structural mechanics computation. First, build the circuit-based EMN model, regular EMN model, and discrete EMN model with equivalent magnetic source and permeance for the different regions of the SPM machine. Second, based on the spatial relationships between each part in the SPM machine, the EMN models of each region are interconnected to form a complete model of the discrete EMN model. The non-sinusoidal high-frequency current harmonics are introduced as input excitation to the discrete EMN model. The global nonlinear matrix equation is solved simultaneously to determine the magnetic flux density in the air gap permeance elements, enabling the air gap electromagnetic force density calculation. Subsequently, the calculated electromagnetic force density is transformed into concentrated forces on the surface of the stator teeth.

Abstract: Disclosed is an adaptive control method applicable to an excavator. The adaptive control method includes: acquiring detection parameters of the excavator, the detection parameters comprising a displacement of an electric control handle of the excavator and angle information of the excavator; identifying a current working condition of the excavator based on the detection parameters; and adjusting control parameters of the excavator based on the current working condition. According to the adaptive control method provided by the present disclosure, the current working condition is identified by using the displacement of the electric control handle and the angle information of the excavator, and then the control parameters of the excavator are adjusted based on the current working condition, so that the control parameters are automatically adjusted with change of the current working condition, which improves control efficiency of the excavator.

Abstract: A parametric equivalent magnetic network modeling method for multi-objective optimization of permanent magnet motor is provided. Firstly, the disordered region and the regular region of the magnetic flux lines in the motor are divided, and the dynamic mesh model of the disordered region and the magnetic circuit model of the ordered region is constructed. Then, the dynamic mesh model and the magnetic circuit model are connected, and the parametric equivalent magnetic network model of the motor is established. The nonlinear matrix is used to solve the equations, and the magnetic potential of each node is solved to obtain the torque characteristics of the motor. Then, the variable sensitivity analyses of the average torque and torque ripple are carried out by using the parametric equivalent magnetic network model, and the response surface models of the average torque and torque ripple are established by selecting the high sensitivity variables.

Abstract: A parametric equivalent magnetic network modeling method for multi-objective optimization of permanent magnet motor is provided. Firstly, the disordered region and the regular region of the magnetic flux lines in the motor are divided, and the dynamic mesh model of the disordered region and the magnetic circuit model of the ordered region is constructed. Then, the dynamic mesh model and the magnetic circuit model are connected, and the parametric equivalent magnetic network model of the motor is established. The nonlinear matrix is used to solve the equations, and the magnetic potential of each node is solved to obtain the torque characteristics of the motor. Then, the variable sensitivity analyses of the average torque and torque ripple are carried out by using the parametric equivalent magnetic network model, and the response surface models of the average torque and torque ripple are established by selecting the high sensitivity variables.

Abstract: An intelligent post-treatment and regeneration control method for an engineering machinery engine, comprising an automatic and manual regenerated auxiliary load loading control method.

Abstract: An intelligent post-treatment and regeneration control method for an engineering machinery engine, comprising an automatic and manual regenerated auxiliary load loading control method: The method steps include, when the accumulation of the particles in a diesel particulate filter exceeds a specified standard and the exhaust temperature of the engine is higher than the regeneration required temperature, an engine controller transmits an auxiliary regeneration packet; after receiving the packet, a main controller determines the external environment temperature; the main controller supplies corresponding current for the regeneration electromagnetic valve of the particulate filter according to the obtained external environment temperature and the corresponding relationship between a preset environment temperature and a loading current, so as to obtain a load matching the environment temperature; and the main controller monitors the exhaust temperature at the inlet of the diesel particulate filter catalytic conver