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Intelligent enterprise Data Management platform for BATtery manufacturing - IDMBAT (or HESTIA)

Intelligent enterprise Data Management platform for BATtery manufacturing - IDMBAT (or HESTIA)
用于电池制造的智能企业数据管理平台 - IDMBAT(或 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 --

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中文摘要
翻译
为了应对不断增长的电池制造市场和重大的技术挑战,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一个巨大缺口,以降低制造和开发成本,同时改善关键的电池指标。这将通过将系统的、企业的材料信息方法的已证明的好处与从复杂的相互依赖中预测最佳工艺参数的新人工智能(AI)能力相结合来实现。该联盟由Granta Design(Granta)领导,该公司是世界上最大的公司和在材料信息技术市场运营的研发组织。伯明翰大学(UB,Emma Kendrick教授)引入了电池技术领先地位,并将拥有一个小型制造设施来生成数据。IntelLegens(INT)是一家快速增长的微型中小企业,它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:-通过智能、系统的信息管理方法,降低整个电池价值链(包括电池材料和组件、电池、模块和组件、制造工艺)上的创新技术的风险,这种方法通过确保完全可追溯性,降低未来的可重复性成本,并实现预测和比较;-消除英国电池制造的技术和商业障碍(电池指标的进步,降低试验和试验的成本,减少材料资源的使用);-支持法拉第电池挑战赛的总体目标,即通过建立在英国现有的工业和学术领先地位基础上,使英国成为尖端电池技术研究、开发、扩大和工业化的首选地点。
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.
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