Battery Aging Simulation Solutions Blog Series
June 29, 2020
Across many industries, more and more companies are utilizing batteries as the primary source of energy for their products. When designing these products, one of the most important tasks is predicting and maximizing battery life to inform decisions on product warranty and create added value for customers. Popular methods of understanding battery aging usually rely heavily on physical testing, which is expensive or prohibitively time-consuming.
In our Battery Aging blog series, we explain how multi-physics simulation provides the ideal solution to accurately predict battery aging in real-world scenarios. Topics include:
Learn how simulation tools that use a physics-based approach to modeling Li-ion cells enable engineers to decrease testing time and costs. Click here to read the blog.
Learn how to predict battery lifetime and make confident battery warranty decisions by combining a minimal amount of available data with physics-based simulation software. Click here to read more.
In this blog, you’ll learn how to predict not only how Li-ion batteries degrade over time, but how that affects system-level performance by combining GT-AutoLion and GT-SUITE.
Learn how different charging protocols impact the tradeoff between reducing the time required to charge a battery and maximizing the life of a battery. Click here to read more!
In this blog, you’ll learn how GT-AutoLion enables engineers to explore, calibrate, and make robust decisions for fast charging algorithms early in a development cycle.