June 16, 2022
Energy density is a key factor in lithium-ion battery (LIBs) performance, driving the search for optimal electrode materials. Open circuit voltage (OCV) plays a crucial role in determining battery performance metrics, making its accurate prediction essential for battery R&D.
Using QuantistryLab, we simulated the OCV profiles of lithium cobalt oxide (LiCoO₂) and lithium manganese oxide (Li₂MnO₃). The results highlighted Li₂MnO₃’s higher and more stable voltage, making it a strong candidate for next-generation cathode materials. Our simulations also provided key insights into state of charge (SOC), lithium-ion migration, and energy density optimization, supporting data-driven electrode optimization.
How can QuantistryLab’s OCV predictions accelerate the discovery of high-performance battery materials? Explore the possibilities with QuantistryLab.