Porous Electrode Modeling and its Applications to Li‐Ion Batteries

• Published in: Advanced energy materials Vol. 12; no. 32
• Main Authors: Chen, Zhiqiang, Danilov, Dmitri L., Eichel, Rüdiger‐A., Notten, Peter H. L.
• Format: Journal Article
• Language: English
• Published: 01.08.2022
• Subjects: Li‐ion battery; performance modeling; porous electrode model
• ISSN: 1614-6832; 1614-6840
• DOI: 10.1002/aenm.202201506

Battery modeling has become increasingly important with the intensive development of Li‐ion batteries (LIBs). The porous electrode model, relating battery performances to the internal physical and (electro)chemical processes, is one of the most adopted models in scientific research and engineering fields. Since Newman and coworkers’ first implementation in the 1990s, the porous electrode model has kept its general form. Soon after that, many publications have focused on the applications to LIBs. In this review, the applications of the porous electrode model to LIBs are systematically summarized and discussed. With this model, various internal battery properties have been studied, such as Li+ concentration and electric potential in the electrolyte and electrodes, reaction rate distribution, overpotential, and impedance. When coupled with thermal, mechanical, and aging models, the porous electrode model can simulate the temperature and stress distribution inside batteries and predict degradation during battery operation. With the help of state observers, the porous electrode model can monitor various battery states in real‐time for battery management systems. Even though the porous electrode models have multiple advantages, some challenges and limitations still have to be addressed. The present review also gives suggestions to overcome these limitations in future research. The present paper has systematically reviewed applications of porous electrode models to Li‐ion batteries (LIBs), including simulations of performance‐related characteristics, overpotential and impedance, temperature and stress distributions, battery degradation, online extraction of battery status, and other applications. With porous electrode modeling reviewed, the challenges and future developments have been stressed to broaden design perspectives and enhance LIBs performance.