Saft accelerates battery system design with AI-powered automation
Saft, a global expert in advanced battery solutions and a subsidiary of TotalEnergies, partnered with Dessia to evaluate AI-powered generative design in battery engineering. The collaboration aims to reduce response time during calls for tenders and streamline complex modeling phases through automation.
CHALLENGE
Saft needed to enhance the reactivity and precision of its engineering workflows— particularly in rail and infrastructure applications. The manual modeling and iteration phases involved in battery design were time-consuming, limiting agility and delaying innovation. The design teams sought a smarter, faster way to define optimized layouts that meet strict electrical and mechanical constraints.
SOLUTION
Dessia applied its generative AI-library to automate the 3D layout design of battery systems. The solution enables rapid configuration and optimization of components within constrained volumes. By integrating Saft’s technical requirements directly into the algorithms, the tool supports faster iterations and reduces the manual workload on design engineers.
RESULTS
- Acceleration of 3D battery modeling and layout optimization
- Increased responsiveness to complex customer demands
- A scalable approach to embedding generative design into battery development workflows
This project allows us to rapidly explore innovative ideas, while ensuring an effective response to the most demanding needs. Dessia’s approach, which focuses on the intelligent automation of engineering tasks, opens up tangible opportunities for industrial-scale deployment in the medium term.
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