Power battery delivery data management method

Abstract

The present invention relates to the technical field of lithium battery production, in particular to a power battery delivery data management method. The method comprises the following steps: step S1:power battery numbering; step S2: power battery production data export; step S3: power battery production data classification; and step S4: power battery delivery data query, namely, searching in thedatabase established in step S3 according to the number of the power battery data requested by the customer to obtain all required power battery delivery data. By virtue of the method provided by thepresent invention, a lot of manpower and time are saved, so that the requirements of the customer for delivery data can be satisfied, the requirements of the production enterprise for the data archiving can be realized, a source database is provided for the traceability of the customer data and the data analysis of the production enterprise, continuous product improvement is further realized, andcustomer satisfaction is improved.

Description

technical field [0001] The invention relates to the technical field of lithium battery production, in particular to a method for managing power battery shipment data. Background technique [0002] Lithium-ion batteries have been widely used in mobile communication equipment, portable mobile power storage equipment, mining power supplies, and electric vehicles due to their remarkable characteristics such as high energy density, high working voltage, long cycle life, and excellent safety performance. In recent years, with the rapid development of the field of electric vehicles, new lithium-ion power batteries have become a key factor in its development. In the process of finished power battery products and delivery, the traceability of product shipment data is a very critical link, and customers have clear requirements for shipment data. There are many types of shipping data parameters, the distribution is relatively wide, and the sources are relatively complicated. The coll...

AI Technical Summary

Problems solved by technology

The collation of each shipment data is quite complicated, requiring a lot of manpower and time to select source data from production equipment and production records, and then compare them with the shipment numbers one by one

The source data spans several workshops of single batteries and modules, and the spanning period is quite long. Many data are data from one, two months or even longer ago. It is necessary to select a few from the huge hundreds of thousands or even millions of data. Hundreds of data, the workload is unrealistic, each shipment takes more than ten people a week, may not be able to process the data of one shipment, and often the missing amount is huge, far from the expected effect

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