Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: The present disclosure relates to the field of EV-DWPT (electric vehicle dynamic wireless power transfer), and specifically discloses a double solenoid EV-DWPT system and a parameter optimization method thereof. The system is provided with a magnetic coupling mechanism, comprising a transmitting structure and a receiving structure. The transmitting structure includes a plurality of double solenoid transmitting rails arranged equidistantly along a road direction. Each double solenoid transmitting rail includes a square tubular magnetic core perpendicular to the road surface, and transmitting solenoids wound spirally using one and the same Litz wire wound in opposite directions.

Abstract: An information acquisition method includes: receiving cell moving speed information sent by a first network device, wherein the cell moving speed information comprises cell moving speed information of the first network device, and/or cell moving speed information of a second network device adjacent to the first network device.

Abstract: A detection method includes obtaining a to-be-migrated model. The to-be-migrated model includes a memory feature set, and the memory feature set represents a feature vector set associated with an application scene corresponding to the to-be-migrated model. The method further includes performing a metric calculation on at least one piece of sample data of a target scene and the memory feature set to obtain at least one metric calculation result, and updating the memory feature set according to the at least one metric calculation result to obtain a target memory feature set. The target memory feature set represents a feature vector set associated with the target scene. The method further includes obtaining a target detection model by replacing the memory feature set of the to-be-migrated model with the target memory feature set.

Abstract: An information acquisition method includes: receiving cell moving speed information sent by a first network device, wherein the cell moving speed information comprises cell moving speed information of the first network device, and/or cell moving speed information of a second network device adjacent to the first network device.