Lithium-Ion Battery Manufacturing : The Role of AI

Lithium-ion batteries are the key element of electrified transportation systems during the transition to a net- zero future. However, they are inherently complex systems with electrochemical, mechanical, and electrical aspects influencing their performance and life. The manufacturing process of these batteries has up to 140 steps and needs almost 600 variables to be determined. This makes optimisation the manufacturing process and the battery performance very difficult, time and resource-intensive. The talk will discuss the process of manufacturing from an engineering and modelling point of view and show the opportunities of AI to address some of the challenges.

Dr Mona Faraji Niri is an Associate Professor of Battery Modelling at WMG, University of Warwick. She had her PhD in control engineering from Iran University of Science and Technology (IUST), and was a postdoctoral researcher in IUST, and a Senior Lecturer in Pooyesh Institute of Higher Education before joining WMG. Mona is a research fellow of Faraday Institution which empowers Britain's Battery Revolution. She is also a Fellow of the Alan Turing Institution in Artificial Intelligence and Data science, and a MIET member. Mona holds a Fellowship from the Higher Education Academy (FHEA) as a recognition for her teaching and education contributions. She was the recipient of the international TechWomen100 award in 2021 and recognised as WMG early career researcher of the year for 2022.

Refreshments will be available from 30 minutes before the advertised start time.

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