Multiphysics Modeling of Batteries, From Cell to Pack Level

In a world increasingly focused on sustainability, the demand for advanced battery technologies is surging. As industries such as automotive, aviation, and renewable energy storage shift toward electrification, the role of energy storage systems has never been more critical. From electric vehicles (EVs) to electric vertical take-off and landing (eVTOL) aircraft, the need for reliable and high-performance batteries is paramount. This evolution is not without its challenges, particularly in optimizing energy density, thermal management, battery longevity, and safety.

We invite you to explore our latest whitepaper, which serves as a comprehensive guide to the principles of battery modeling. This document dives deep into the physics of batteries and the modeling techniques available across various scales, providing insights necessary for modern battery design and optimization.

The whitepaper offers a detailed examination of how battery performance can be maximized through simulation tools. We cover modeling techniques ranging from straightforward 1D electrochemical cells to intricate 3D battery packs. By utilizing multiphysics simulations, engineers can accurately predict and refine crucial aspects such as electrochemical phenomena, thermal management, mechanical stress, and battery degradation mechanisms. Figure 1 in the whitepaper demonstrates the temperature distribution within a battery pack as modeled through advanced simulation.

By downloading this whitepaper, you will gain access to essential knowledge on constructing and applying models to practical scenarios effectively. Our examples guide you through understanding the critical relationships between battery design parameters and performance, ensuring that you are well-equipped to make informed decisions in your projects. 

Whether you are involved in automotive design, aerospace technology, or renewable energy initiatives, the insights shared in this paper will empower you to navigate the complexities of battery systems.

The role of advanced modeling aids in developing safer, longer-lasting, and more efficient batteries. As the demand for energy storage solutions continues to escalate, accurate simulations will become increasingly vital in addressing the challenges of thermal runaway, capacity fade, and efficient cooling design.

Download our whitepaper today and unlock the full potential of advanced battery modeling for a sustainable future. 

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• On-demand webinar: Advanced Battery Modeling with COMSOL 6.1. Lithium-ion (Li-ion) batteries are currently the most popular option used in electric and hybrid vehicles, as well as consumer gadgets and energy storage devices. When it comes to modeling Li-ion batteries, different levels of complexity are required depending on the goal of your simulation. The Battery Design Module is an add-on to the COMSOL Multiphysics® software, and it includes descriptions over a wide range of scales. These scales range from the detailed structures in the porous electrode of the battery all the way up to the battery pack scale, which also includes thermal management systems. Register to watch.
• On-demand webinar: Thermal Management of Batteries Using COMSOL and Simulink.When designing power electronic devices, engineers are faced with quite a few challenges. One of those challenges is to find the right balance between limited space and temperature design. Simulation modeling solves the challenge of putting various electrical components in tight spaces while keeping the system below critical temperatures. During this webinar, we discuss how to simulate heat transfer using the COMSOL Multiphysics® Heat Transfer Module and the MathWorks Simulink®. Register to watch. 
• Blog: Battery Pack Design in COMSOL Multiphysics. Discover COMSOL Multiphysics’ capabilities for monitoring the temperature distribution of a battery pack. See how you can optimize battery design in the development cycle using the Battery Design Module. Read more