Intelligent enterprise Data Management platform for BATtery manufacturing - IDMBAT (or HESTIA)
Intelligent enterprise Data Management platform for BATtery manufacturing - IDMBAT (or HESTIA)
批准号:
133855
负责人:
金额:
$47.05万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
为了应对不断增长的电池制造市场和重大技术挑战,IDMBAT将通过为电池制造商开发软件解决方案来解决市场上的巨大差距,以降低制造和开发成本,同时改善关键电池指标。这将通过将系统化的企业材料信息方法的优势与新的人工智能(AI)功能相结合来实现,该功能可以从复杂的相互依赖关系中预测最佳工艺参数。该联盟由Granta Design(Granta)领导,Granta Design是世界上最大的材料信息技术市场公司和研发机构。伯明翰大学(UB,Emma Kendrick教授)带来了电池技术领导力,并将建立一个小规模的制造设施来生成数据。英特尔公司(INT)是一家快速发展的微型中小企业,将开发用于工艺参数预测的尖端人工智能算法。拟议的可行性研究致力于:(包括电池材料和组件、电池、模块和电池组、制造工艺),通过智能、系统的信息管理方法,确保完全可追溯性,并实现预测和比较,从而降低未来的再现性成本;- 消除英国电池制造的技术和商业障碍(电池指标的进步,降低试验和实验成本,减少材料资源的使用);- 支持法拉第电池挑战赛的总体目标,使英国成为研究,开发,通过建立现有的英国工业和学术领导地位,扩大和工业化尖端电池技术。
英文摘要
Responding to the growing battery manufacturing market and significant technical challenges, IDMBAT will address a substantial gap in the market by developing software solutions for battery manufacturers to reduce fabrication and development costs while improving key batteries metrics. This will be achieved by combining the proven benefits of a systematic, enterprise approach to materials information, with new artificial intelligence (AI) capabilities for predicting optimum process parameters from complex interdependencies.The consortium is led by Granta Design (Granta) , the world largest company and R&D organisation operating in the materials information technology market. University of Birmingham (UB, Prof. Emma Kendrick) brings in battery technical leadership and will host a small-scale manufacturing facility to generate data. Intellegens (INT), a fast-growing micro SME, will develop cutting edge artificial intelligence algorithms for process parameter prediction.The proposed feasibility study endeavours to:-De-risk scaling up innovative technologies across the battery value chain (including cell materials and components, cells, modules and packs, manufacturing processes) by means of intelligent, systematic information management approach which reduces future costs of reproducibility by ensuring full traceability and enables predictions and comparisons;-Remove technical and commercial barriers to cell manufacture in the UK (advancement in battery metrics, reduced costs of trials and experimentation, reduce use of materials resources);-Support the overall goal of the Faraday Battery Challenge to make the UK the go-to place for the research, development, scale up and industrialisation of cutting-edge battery technology by building upon existing UK industrial and academic leadership.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金