RT Conference Proceedings
T1 Modeling of Electrodialytic Treatment of Lithium-Ion Batteries
A1 Paz-García, Juan Manuel
A1 Villén-Guzmán, María Dolores
A1 Cerrillo-González, María del Mar
A1 Gómez-Lahoz, César
A1 Vereda-Alonso, Carlos
A1 García-Delgado, Rafael Antonio
A1 García-Herruzo, Francisco
A1 Rodríguez-Maroto, José Miguel
K1 Pilas de litio
AB Lithium-ion batteries are currently present in most portable electronic devices and their use is rapidly growing in the field of electric vehicles and renewable energy storage. Many components in lithium-ion batteries are toxic and/or environmentally hazardous. Furthermore, some of them are expensive and listed as critical materials in terms of supply-chain risk. Therefore, the need to improve the recycling techniques for lithium-ion batteries is becoming a priority.Herein, we describe and present a model for the electrodialytic treatment of disposed lithium-ion batteries. Electrodialysis is a separation process based on the use of electric fields and ion-selective membranes. The electrodialytic cell can be designed in different configurations, to enhance the selective extraction of the target products. In a standard electrodialytic cell, the treated matrix is separated from the anode and the cathode compartments by means of anion- and cation-exchange membranes respectively. However, depending on the ionic charge and the specific chemistry of the matrix, different cell designs can be used. In the present work, different possible configurations are explored for the optimization of the extraction of key valuable components from spent lithium-ion batteries, taking into account the chemical properties of the system depending on the chosen extracting agent and cell configuration. The model presented here is based on a set of differential and algebraic equations consisting of a Nernst-Planck based continuity equations for each of the chemical species involved in the process, coupled with the electroneutrality and the local chemical equilibrium conditions. The numerical solution is performed using COMSOL Multiphysics, and the simulation results are compared with experimental data for model validation.
YR 2019
FD 2019-02-08
LK https://hdl.handle.net/10630/17273
UL https://hdl.handle.net/10630/17273
LA eng
NO This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 778045. Paz-Garcia acknowledges the financial support from the University of Malaga, project: PPIT.UMA.B5.2018/17. Villen-Guzman acknowledges the funding from the University of Malaga for the postdoctoral fellowship PPIT.UMA.A.3.2.2018.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 4 mar 2026