公开(公告)号：US11928414B2

公开(公告)日：2024-03-12

申请号：US18270215

申请日：2021-11-30

Applicant: INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD.

Inventor： Lei Liang ,  Qingsong Qin

IPC: G06F30/30 ,  G06F30/392 ,  G06F30/394 ,  H05K3/00 ,  G06F113/18 ,  G06F115/12

CPC classification number: G06F30/394 ,  G06F30/392 ,  H05K3/0005 ,  G06F2113/18 ,  G06F2115/12 ,  H05K2201/09227

Abstract: Provided are a chip and a pin line-out design method therefor, which are applied to a BGA packaged chip. The method includes: according to pin position information and pin definition information of a chip, determining a number of circuit board layers required for pin line-out of the chip (S1); allocating line-out layers to pins of the chip in their respective circuit boards (S2); and according to a pin density and transmission line width requirement of the chip, determining a specification of a via hole in each circuit board for leading the pin of the chip out to the corresponding line-out layer, to perform a corresponding line-out design on the basis of the via hole (S3). It may be seen that the described unified pin line-out design for the BGA packaged chip is more refined, and the quality of the line-out design of the pins of the chip is ensured.

公开(公告)号：US11823025B1

公开(公告)日：2023-11-21

申请号：US18265245

申请日：2021-10-29

Applicant: INSPUR SUZHOU INTELLIGENT TECHNOLOGY CO., LTD.

Inventor： Qingsong Qin ,  Lei Liang

IPC: H01M10/633 ,  G06N3/0464 ,  H01M10/44 ,  G06N3/08 ,  H02J7/00

CPC classification number: G06N3/0464 ,  G06N3/08 ,  H01M10/44 ,  H01M10/633 ,  H02J7/0047 ,  H02J7/00714

Abstract: Disclosed in the present application are a battery charging method and apparatus, and a device and a medium. The method includes; collecting, at a preset time interval, battery charging state data of a rechargeable battery within each of the preset time intervals in real time; when the battery charging state data within any one of the preset time intervals is collected, using the battery charging state data within the preset time interval as a training data set, inputting the training data set to an initial neural network model for training, and during the process of training, updating a preset network parameter on the basis of the difference value between a model output value corresponding to each piece of battery charging state data and a preset threshold until difference value between model output value corresponding to present battery charging state data and the preset threshold meets a preset error condition.