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Singa - Development of highly-efficient hydrometallurgical recycling process to support Li-Ion battery recycling in UK and Singapore

Singa - Development of highly-efficient hydrometallurgical recycling process to support Li-Ion battery recycling in UK and Singapore
Singa - 开发高效湿法冶金回收工艺以支持英国和新加坡的锂离子电池回收
批准号:
10033230
负责人:
金额:
$39.26万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
**Singa - Development of highly-efficient hydrometallurgical recycling process to support Li-Ion battery recycling in UK and Singapore**Altilitech has invented a novel hydrometallurgical process that extracts nickel, cobalt, and lithium from black mass (shredded end-of-life electric vehicle lithium-ion batteries) in a quality/format that can be directly reused in battery manufacture.Having independently validated our highly-efficient, recycling process using black mass from a single battery chemistry-MC111, the project consortium will now design, develop, and trial the associated processes to enable high value material recovery, including critical metals, across a range of battery chemistries, as composition of black mass is very diversified from one OEM and/or application to another.During the 24-month industrial research, Altilitech's UK R&D-facility will process multiple black mass samples typical of a Southeast Asia supply chain. The black mass will be supplied from KGS (Singapore Partner), which, as part of this project, will design and commission an innovative mechanical process to break down spent lithium-ion batteries into materials such as aluminium, copper, and black mass.Knowledge exchange will be shared, with particular focus on material characterisation of the black mass chemistries, the volume and quality of recovered material, and identified process improvements. The project will conclude with a feasibility study into a 7,000 MT Singapore Plant (KGS and Altilitech Joint Venture) that will house, at-scale, KGS' front-end and Altiltech's back-end recycling processes, i.e. full end-to-end battery recycling.
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水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: