Electrochemical modeling in lithium batteries: Pathways to next-generation power sources
Hosein Jahangir, Hassan Zahirinia, Mahdi Tayebnia, Masoud Yavarinasab, Javad Enferadi, Marzieh Nodehi, Wojciech Simka, Mehdi Baghayeri
Abstract
Recently, various aspects of lithium batteries' performance have been modeled. Modeling electrochemical reactions in lithium batteries is a valuable method for understanding their physical and chemical characteristics. In this method, the effect of structural, physical, and kinetic variables can be determined, and the battery performance is evaluated according to the lithium-ion concentration in the electrolyte, electrode potential, and overpotential. Furthermore, combining degradative, mechanical, and thermal models can simulate other battery characteristics, such as the life cycle, mechanical stress, and temperature. This paper provides a comprehensive review of thermoelectrochemical modeling applications. In addition, thermoelectrochemical modeling is evaluated in terms of its application to challenging conditions, such as fast charging and thermal runaway, to enhance battery performance. A major focus of this work is the use of AI and machine learning in conjunction with electrochemical modeling, as this field continues to grow both locally and globally. The investigation also examines the advantages and disadvantages of different electrochemical modeling techniques. In conclusion, the review suggests improvements to the modeling methodology to increase its accuracy.