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Aldabbas FINAL 4 26 24 with cert.pdf (1.3 MB)

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An Energy-Aware Optimization Model for the Water-Based Lithium-Ion Battery Electrode Drying Process

Aldabbas, Mohammad Hussein
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1714133973570104

Abstract Details

2024, Master of Science in Engineering, Youngstown State University, Department of Mechanical, Industrial and Manufacturing Engineering.
Lithium-ion batteries (LIBs) have been a vital technology since they were introduced to the world in the 1990s. Despite significant advancements in cost-effectiveness and production efficiency, there are still some obstacles that need to be addressed. Significantly, as lithium-ion battery (LIB) technology is increasingly used in the transportation industry to enable electric vehicles, the issue of industrial ethics and environmental sustainability becomes of extreme importance. We are currently developing water-based manufacturing procedures to achieve more environmentally friendly production of lithium-ion batteries. Our research focuses on analyzing the design elements and process dynamics involved in removing solvents from the electrode coatings of these batteries. We demonstrate the impact of substituting N-Methyl-2-pyrrolidone (NMP) with an aqueous solvent, specifically water, in the electrode. To describe the process of cathode drying, we employ a mathematical model at the continuous level. This model accounts for the simultaneous transmission of heat and mass, as well as phase change. The utilization of aqueous processing for electrode material has the potential of cost reduction and environmental effect reduction in existing lithium-ion battery (LIB) manufacturing processes. By substituting costly and hazardous binder solvents like N-methyl-2-pyrrolidone (NMP) with water-based processing, both material expenses and processing and capital equipment costs can be minimized. The optimization model will determine the most efficient factors for the energy consumption of the solvent drying process, which constitutes a significant component of the overall energy consumption in the drying process.
Seokgi Lee, PhD (Advisor)
Cory Brozina, PhD (Committee Member)
Kyosung Choo, PhD (Committee Member)
62 p.
Industrial Engineering; Mechanical Engineering; Operations Research
water-based solvent; NMP; Drying process; lithium ion; EV; optimization; electrode drying process; emissions

Recommended Citations

Citations

  • Aldabbas, M. H. (2024). An Energy-Aware Optimization Model for the Water-Based Lithium-Ion Battery Electrode Drying Process [Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1714133973570104

    APA Style (7th edition)

  • Aldabbas, Mohammad. An Energy-Aware Optimization Model for the Water-Based Lithium-Ion Battery Electrode Drying Process. 2024. Youngstown State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1714133973570104.

    MLA Style (8th edition)

  • Aldabbas, Mohammad. "An Energy-Aware Optimization Model for the Water-Based Lithium-Ion Battery Electrode Drying Process." Master's thesis, Youngstown State University, 2024. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1714133973570104

    Chicago Manual of Style (17th edition)

ysu1714133973570104
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© 2024, all rights reserved.
This open access ETD is published by Youngstown State University and OhioLINK.