Tech

Simulation App Speeds Up Electric Truck Battery Design

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 16/10/2026, 16:58:24 UTC.

Briefings

A consortium of universities and industry partners used multiscale simulation and a custom Resolvent app to optimize electric truck battery manufacturing. The project, LaserBATMAN, ran from May 2022 to May 2025, aiming to improve battery robustness and lifetime through laser welding optimization. Resolvent developed a deep neural network model and a simulation app enabling R&D teams to test busbar weld performance and predict pack performance under various conditions.

Key points

• The LaserBATMAN project, initiated in May 2022 and concluding in May 2025, focused on optimizing battery pack robustness and lifetime using laser welding.
• Resolvent built a deep neural network model and a custom simulation app to efficiently test busbar weld performance and predict pack performance under different operating conditions.

Context

Electric trucks require long-distance highway travel, necessitating efficient battery designs. Traditional battery lifetimes are often insufficient for these applications, prompting a consortium to use multiscale simulation and a custom app to optimize manufacturing processes and improve battery performance.

Limitations

Evidence covers the LaserBATMAN project from May 2022 to May 2025, but does not include results from the full project lifecycle or long-term field testing data.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 16/10/2026, 17:01:03 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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