Battery development teams face growing pressure to deliver higher‑performance, lower‑cost systems in ever‑shorter development cycles. Yet early‑stage battery pack design is often slowed by fragmented workflows, sequential testing, and decisions based on limited or idealised data. Cell selection, pack sizing, architecture trade‑offs, and thermal and aging validation can take months before a clear design direction is established.
This session presents how a modern, SaaS‑based engineering workflow can dramatically accelerate battery system development. Using Kurylabs as a practical example, it shows how engineers can move from application requirements to optimized battery pack concepts in minutes. By combining real laboratory‑measured cell data with integrated pack sizing, architecture comparison, and electro‑thermal and aging simulation, teams can make faster, more confident design decisions early in the development cycle.
Moving from application requirements to optimized battery pack concepts in minutes
Comparing candidate cells using real measured performance data, not datasheets alone
Rapid evaluation of pack architectures using integrated electro‑thermal simulation
Using accelerated aging simulation to reduce risk before physical prototyping
Enabling faster, more confident battery design decisions in cost‑ and time‑constrained programs