DigiTwin - Digital Twin for Quality and Yield Improvement of Battery GigaFactory

新兴的英国电池工厂将需要与全球电动汽车GigaFactories竞争生产力，而竞争的关键是提高产量并迅速达到稳定状态。英国电池工业化中心与Waygate Technologies和PXL-ICE认为，与关键工艺领域的物理制造生产线相关联的UKBIC数字孪生模型将改善这两个因素，并解决以下问题：目前，电动汽车电池工厂的产量通常低至75%，而随着数字孪生模型的使用，该模型由Quality Gates的数据驱动，使用X射线CT等检测技术，我们相信，通过使用“控制塔”来管理和融合质量门之间的数据，可以优化和提高这一点。该数字孪生模型和IT/IS架构的可行性是本项目的可交付成果，其范围旨在进行为期6个月的可行性研究，并在确定拟议解决方案确实有效（但不在本项目范围内）后，在12个月的时间内构建和实施该解决方案。该项目将与最近的（2022年7月）该项目的基本成果是证明，建立与电池制造过程中的关键参数相关联的UKBIC数字孪生模型将实现更高产量和更低成本的预期改进，并促进决定继续实施该项目。这将有利于UKBIC的客户和更广泛的行业，因为UKBIC履行其职责，为蓬勃发展的英国电池制造业提供学习环境。它还将证明CT扫描作为一种先进的分析工具的有效性，可以比传统的检测方法更快、更准确地识别、分析和解决质量缺陷。

The emerging UK Battery Factories will need to compete for productivity with Global EV GigaFactories and to compete there is a key consideration for increasing the yield and getting to steady state quickly. The UK Battery Industrialisation Centre with Waygate Technologies and PXL-ICE believe that a digital twin of UKBIC linked to the physical manufacturing production lines at key process areas will improve these two factors and address the following issues:Current yields in EV Battery factories are typically as low as 75% initially, and with the use of a digital twin powered by data from Quality Gates using inspection technologies such as X-Ray CT, and Visual Cameras we believe this can be optimised and increased using a 'control tower' to manage and fuse data between quality gates.The establishment of the feasibility of this digital-twin and an IT/IS architecture is the deliverable of this project, and it is scoped with the intention to conduct the feasibility study over a 6 month period and, having established that the proposed solution does work, but outside the scope of this project, to build and implement this solution within a 12 month timescale. This project will align very well with the recent (July 2022) announcement of the partnership between UKBIC and Waygate Technologies.The fundamental deliverables of the project are to demonstrate that establishing a digital twin of UKBIC linked to key parameters in the battery manufacturing process will deliver the predicted improvement of higher yield and lower cost and the facilitation of a decision to move forward with the implementation of this solution in UKBIC which will be to the benefit of UKBIC's clients and wider industry as UKBIC fulfils its remit to provide the learning environment for the burgeoning UK battery manufacturing industry. It will also demonstrate the effectiveness of CT scanning as an advanced analytical tool to identify, analyse and resolve quality defects much faster and more accurately than traditional inspection methods.