Conference article

Study of an Industrial Electrode Dryer of a Lithium-Ion Battery Manufacturing Plant: Dynamic Modeling

Emil Oppegård
Department of Engineering Cybernetics, Norwegian University of Science and Technology, Norway

Asanthi Jinasena
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Norway

Anders Hammer Strømman
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Norway

Jon Are Suul
Department of Engineering Cybernetics, Norwegian University of Science and Technology, Norway and SINTEF Energy Research, Norway

Odne Stokke Burheim
Department of Energy and Process Engineering, Norwegian University of Science and Technology, Norway

Download articlehttps://doi.org/10.3384/ecp2017677

Published in: Proceedings of The 61st SIMS Conference on Simulation and Modelling SIMS 2020, September 22-24, Virtual Conference, Finland

Linköping Electronic Conference Proceedings 176:11, p. 77-84

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Published: 2021-03-03

ISBN: 978-91-7929-731-2

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

A dynamic model for lithium-ion battery (LIB) electrode manufacturing and drying is developed in this paper. The model is intended for analysis of different drying technologies, energy requirement calculations, and optimization and control of the drying process. The model shows that the infrared drying is faster than the convective drying when the heat source temperature is the same. The energy required to evaporate the solvent can be reduced by gradually changing the hot air temperature. Drying is the most energy-intensive process in cell manufacturing, and the cell manufacturing process is the biggest contributor to greenhouse gas emissions in the LIB industry. Therefore, the presented model is useful for accurate estimation of the environmental impact as well as for identifying the appropriate measures to reduce energy requirements in the rapidly growing LIB industry.

Keywords

lithium-ion battery, electric vehicle, electrode drying, convection, infrared radiation, sustainable energy, model, control

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