CLOUD-BASED MULTIPHYSICS SIMULATION OF BATTERY COOLING

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The experiment proposes a workflow for Wamtechnik to use cloud-based simulations in its design process. It starts with defining the battery module’s geometry, then the QSA battery simulation software is coupled with an external CFD solver, simulating electrochemical cells and heat dispersion.

Start date: 01/06/2021

Duration in months: 18

Problem Description

The experiment aims to create a faster, accurate, and accessible solution for simulating immersive cooling of battery packs using HPC. The software should also be accessible to non-CFD professionals, such as battery pack designers, who may not be familiar with CFD simulations and HPC.

Goals

Reduce time to solution

Challenges

Battery pack manufacturers like Wamtechnik rely on prototyping and experimental testing for new designs, which is time-consuming and resource-intensive. They rarely use general-purpose CFD applications for simulating immersive cooling due to computational demands and geometrical complexity.

Innovation results

QuickerSim's Q-Bat MATLAB application simplifies the design of batteries by solving fluid flow and heat transfer separately. It was used to generate CFD cases for training a data-driven forced convection model. This model was then included in the design workflow, reducing the need for prototyping.

Business impact

The developed simulation workflow and HPC reduce battery pack development costs from 60k€/kWh to 48k€/kWh, allowing design modifications within days. This workflow shortens a 2-year design cycle by 7 months, reducing the number of battery prototypes. 90% cost reduction for simulating a battery pack.

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