The quality and performance of a battery over its lifetime can be influenced not only by charge and temperature, but even by the initial manufacturing process. To gain better control over the performance and life cycle of a battery, accurate modeling of battery aging is essential.
During a battery’s lifetime, its health tends to deteriorate slowly due to irreversible physical and chemical changes. Conventional engineering methods to analyze these changes require large amounts of costly trial and error. Battery breakthroughs require R&D involving several disciplines (thermal, mechanical, electrochemistry) and scales (individual electrode to complete battery pack). In addition to CFD, a complete battery development process requires multiphysics simulation, including structural analysis, electronics and systems.
ANSYS CFD can simulate battery performance from the molecular level all the way to the module level to reduce development costs and speed time to market by:
- Shortening design cycles by reducing costly trial and error development
- Optimizing tradeoffs between cost, energy density, life cycle, operating temperature and safety
- Accounting for all the relevant physical forces in a single, practical environment where each physics is best in class
New: Fluent detailed electrochemistry model optimizes lithium-ion battery cells
Battery manufacturers need to fit prodigious amounts of power into a package that achieves ever-diminishing size, weight and cost goals. Fluent includes a detailed electrochemistry model for optimizing lithium-ion battery cells, which may be used in the exploration of anode materials or to predict aging effects.