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Grant: Alliance Grants

Concordia University

$326,334.00

Big Data for Lithium-ion Battery Certificate in Sustainable Circular Economy: from Mine to Pack

EF 2023-24

Résumé
This project aims to study the life cycle of the production of lithium-ion (Li-ion) batteries, from mining to recycling, passing through assembly of the pack, and to use AI technology to trace CO2 emissions at every stage of the process to produce a long-lasting battery with minimal impact on the environment. Optimizing the production process would reduce the material development time and the manufacturing cost of the cells. To lower the price of the pack, we will work on dry solvent-free electrodes and will optimize the assembly architecture of modules and packs.The project will enable predictive analysis and the production of a Li-ion battery certificate. The use of AI for traceability of battery components using "computer integrated manufacturing" (ICM) will optimize this process and enable the creation of new intellectual property (IP) with a patent of base. The technology may be sold or licensed to precursor mining producers and cell manufacturers in North America. Electric vehicle companies will then be able to use it in their manufacturing processes. The results of this project will focus on efficient energy storage, which has become the backbone of the electrification of society. This is a necessary step to reduce global warming and CO2 emissions from fossil fuel-based economic and transportation activities.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
584654-2023
Name nom
Zaghib, Karim K
Department département
Chemical and Materials Engineering (CME)
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
326334
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
305
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy storage and conversion
Area of application fr
Stockage et transformation de l'énergie
Research subject code
1800
Research subject group en
Chemical engineering
Research subject group fr
Chemical engineering
Research subject en
Génie chimique
Research subject fr
Génie chimique
Application title
Big Data for Lithium-ion Battery Certificate in Sustainable Circular Economy: from Mine to Pack
Keyword
Artificial Intelligence; Circular economy; Critical Minerals; Life cycle of batteries; lithium-ion battery; Optimization; Predictive analysis; Recycling; sustainable development; Traceability
Application summary
This project aims to study the life cycle of the production of lithium-ion (Li-ion) batteries, from mining to recycling, passing through assembly of the pack, and to use AI technology to trace CO2 emissions at every stage of the process to produce a long-lasting battery with minimal impact on the environment. Optimizing the production process would reduce the material development time and the manufacturing cost of the cells. To lower the price of the pack, we will work on dry solvent-free electrodes and will optimize the assembly architecture of modules and packs.The project will enable predictive analysis and the production of a Li-ion battery certificate. The use of AI for traceability of battery components using "computer integrated manufacturing" (ICM) will optimize this process and enable the creation of new intellectual property (IP) with a patent of base. The technology may be sold or licensed to precursor mining producers and cell manufacturers in North America. Electric vehicle companies will then be able to use it in their manufacturing processes. The results of this project will focus on efficient energy storage, which has become the backbone of the electrification of society. This is a necessary step to reduce global warming and CO2 emissions from fossil fuel-based economic and transportation activities.