COMSOL Day: Battery Design
See what is possible with multiphysics modeling
Battery design and development has been an integral part of the electric vehicle and power industries, particularly as the investment in eco-friendly technologies has increased. The COMSOL Multiphysics® software is a multiphysics simulation platform that helps you set up physics-based, high-fidelity models of batteries of different types and with arbitrary chemistry. Such models can include material transport, charge transport, heat transfer, fluid flow, and electrochemical reactions. The software also features ready-made modeling interfaces for the most common battery types, such as lithium-ion, NiMH, and lead–acid batteries. You can also model at different scales, from the microscopic scale using heterogeneous models to the cell scale using porous electrode theory, as well as to the pack scale, with hundreds of battery cells. It is also possible to incorporate lumped models into system models and digital twins, such as electric vehicle drivetrains, and to create simulation apps for use by nonexperts.
Join us for COMSOL Day: Battery Design to learn from keynote talks and technical presentations about the benefits of using multiphysics simulation to study and design battery systems for portable and stationary applications as well as automotive applications. We will also give an overview of the relevant features in COMSOL Multiphysics® and demonstrate how the software can be used across large development teams.
Register for this free, 1-day online event below.
Schedule
The COMSOL Multiphysics® software has become widely used for high-fidelity modeling of batteries due to its specialized multiphysics modeling capabilities. The software's unique features enable the research and design of battery systems to include electrochemistry, material transport, heat transfer, fluid flow, and structural mechanics.
The Battery Design Module, an add-on product, offers functionality for efficiently creating battery pack models with hundreds of batteries, each described with its individual electrochemical model, including temperature effects.
The benefits of COMSOL Multiphysics® for modeling batteries and other devices and designs can be extended to larger groups of engineers and scientists within an organization through the creation of standalone simulation apps. These apps are based on multiphysics models and surrogate models.
In this session, we will go over the use of multiphysics modeling for battery design, simulation apps, digital twins, and surrogate models. We will also provide an executive overview of the topics that will be covered in this COMSOL Day.
Nikolaos Papadopoulos, Dr. Ing. h.c. F. Porsche AG
The increasing demand for sustainable mobility challenges the industry to design high-energy lithium-ion batteries that satisfy long-range vehicle requirements and fast charging times. Besides the efforts to increase the capacity and performance of the battery through cell chemistry and cell design, optimized operating strategies are crucial for achieving fast charging. Electrochemical modeling enables the monitoring of internal cell variables, making it possible to develop fast charging concepts that exploit the best cell performance without causing damage. In addition to optimizing fast charging applications, electrochemical modeling is used to conceptualize cell design and development tools.
In this session, we will give an overview of the Battery Design Module, which provides functionality for simulating operational aspects of battery systems ranging from single cells to packs of hundreds.
We will demonstrate this functionality by simulating a lithium-ion battery, using the software's unique multiphysics capabilities to include electrochemistry and material transport. We will then demonstrate how easy it is to simplify the model using lumped modeling to ultimately create a pack model with hundreds of batteries.
We will also explain how battery systems can be modeled as time-dependent models to cover transient effects like charge–discharge cycles and how to model electrochemical impedance spectroscopy with a frequency-domain formulation.
The COMSOL® software aids in different processes in the field of renewable energy. It offers unique modeling and simulation (M&S) capabilities as well as easy-to-use features for creating standalone simulation apps.
The Application Builder and COMSOL Compiler™ allow for bringing M&S to a larger group of scientists and engineers thanks to their capabilities for creating and deploying simulation apps. These apps can be incorporated into digital twins for use in equipment maintenance and process operation. The latest release of COMSOL Multiphysics® contains functionality for creating surrogate models based on data from simulations and advanced function approximation such as DNN and Gaussian process, making simulation apps lightning-fast.
In this session, you’ll learn about the COMSOL® software’s capabilities for creating simulation apps and digital twins.
Learn the fundamental workflow of COMSOL Multiphysics®. This introductory demonstration will show you all of the key modeling steps, including geometry creation, setting up physics, meshing, solving, and evaluating and visualizing results.
Mohammadali Mirsalehian, FEV Europe GmbH
Modern rechargeable energy storage systems (RESS), particularly lithium-ion batteries, have become the predominant choice for energy storage in various applications, including battery electric vehicles (BEVs), due to their superior energy and power densities. However, their performance is compromised by degradation mechanisms driven by storage and operating conditions, known as calendric and cyclic aging. These mechanisms result in capacity fade and impedance rise. Investigating aging behavior during development is crucial for enhancing performance and extending the driving range of BEVs.
Given the extensive time and resources required for aging tests, computational modeling and simulation offers a more efficient and cost-effective means to gain insights into battery lifetimes. Various aging modeling approaches, including physics-based models, can predict battery degradation rates. The physical models are classified into semiphysical and full physical models based on the extent to which they mathematically address the underlying physical and chemical reactions taking place inside the battery.
FEV Europe GmbH has developed physics-based methodologies to address battery lifetime concerns and facilitate investigations aimed at extending battery life. This keynote talk will introduce the results of a recent study on aging modeling in solid-state batteries. The degradation predicted by the physical model shows strong correlation with experimental measurements. Additionally, the model incorporates the temperature dependency of the aging rate, reflecting the observed effects of temperature on solid-state battery aging in test results. Finally, numerical electrochemical impedance spectroscopy (EIS) is employed to provide a highly resolved understanding of the aging mechanisms in solid-state batteries.
Battery systems are often burdened by unwanted side reactions at the electrodes. The COMSOL Multiphysics® software and its Battery Design Module add-on product can be used to simulate various aging and degradation mechanisms, resulting in capacity fade in batteries. The flexibility of the Battery Design Module also enables you to include any arbitrary by-reaction, such as hydrogen and oxygen evolution, solid electrolyte interface growth due to deposition, metal plating, metal corrosion, and graphite oxidation in your battery models.
In this session, we will present the capabilities of the Battery Design Module for modeling degradation in batteries and demonstrate the process of building and running a capacity fade model.
Batteries have become one of the most important components in automotive applications and portable devices, as well as in stationary applications such as battery energy storage systems. Lithium-ion, the most commonly used technology, boasts a high energy density, a long cycle life, and a low rate of self-discharge. However, lithium-ion batteries are sensitive to temperature conditions, which can impact their performance. To ensure optimal performance and efficient thermal management, the use of modeling and simulation (M&S) in the design process is crucial. M&S offers specialized functionality that can help us understand and predict the behavior of battery systems while also reducing development time and costs.
The COMSOL Multiphysics® software and add-on Battery Design Module offer a range of capabilities for building detailed models of battery cells and packs, capturing phenomena such as electrochemistry, species transport, heat transfer, fluid flow, and structural mechanics. When combined with the Heat Transfer Module, users can access a unique environment for running thermal analyses of battery systems, accounting for heating due to activation losses, Joule heating, conjugate heat transfer, nonisothermal laminar and turbulent flows, and other coupled phenomena. COMSOL Multiphysics® can also be used to model and design thermal management, including thermal runaway for individual cells and battery packs.
In this session, we will provide an overview of the functionality that COMSOL Multiphysics® offers for battery design and thermal analysis. We will demonstrate these capabilities using models at both the battery cell and battery pack levels.
Register for COMSOL Day: Battery Design
To register for the event, please create a new account or log into your existing account. You will need a COMSOL Access account to attend COMSOL Day: Battery Design.
For registration questions or more information contact info@comsol.de.
COMSOL Day Details
September 19, 2024 | 10:00 CEST (UTC+02:00)
Invited Speakers
Nikolaos Papadopoulos holds a master’s degree in advanced materials and engineering with a focus on all-solid-state batteries, as well as double BE degrees in materials engineering and industrial engineering. He is currently pursuing an industrial PhD in modeling and cell design of high silicon anodes for lithium-ion batteries at Dr. Ing. h.c. F. Porsche AG and the Leibniz Institute for New Materials gGmbH.
Mohammadali Mirsalehian received his bachelor's degree in mechanical engineering from the University of Tehran in Iran. He then worked as a project engineer in the energy sector before pursuing a master’s degree in energy science and technology at Ulm University in Germany. His master’s thesis, conducted at the Fraunhofer Institute, focused on the thermal investigation and simulation of lithium-ion batteries. Following that, Mirsalehian carried out his PhD studies at the Chair of Thermodynamics of Mobile Energy Conversion Systems (TME) at RWTH Aachen University. His research focus was on the multiscale multiphysics modeling of lithium-ion batteries. Since 2018, he has been cooperating with FEV Europe GmbH in different research and industrial projects, initially as a simulation engineer and currently as a technical specialist. He is involved in the projects with various modeling focuses, including thermal propagation, aging, and electrochemical behavior of Li-ion batteries.