Tier 1 Supplier Reduces E-Motor Development Time with Surrogate Modeling and Structured Engineering Data
“Key Ward reduced RFQ time from 1.5 months to days. And it’s got a great interface as well.”
Sr. Development Engineer Tier 1 Supplier
70%
faster RFQ resolution versus traditional engineering workflows
90%
reduction in simulation and compute costs
About the study
Designing efficient cooling systems for e-motors requires evaluating complex interactions across electrical, thermal, and mechanical performance metrics. These evaluations involve assessing key performance indicators (KPIs) such as winding temperature, oil coverage, and heat exchange performance.
Engineers who try to meet these requirements with traditional simulation workflows face serious bottlenecks: full simulation runs are time-intensive, especially across large design
spaces. Each design iteration requires costly compute resources. Exploring alternative designs is limited due to time and budget, restricting innovation. Request for quote (RFQ) resolution lags reducing responsiveness to OEM demands.
As a result, identifying optimal designs takes too long, and engineering teams are constrained by the speed and cost of simulation
Other Case Studies
Tier 1 Supplier Reduces Scrap and Improving Manufacturing Quality with Data-Driven Production Analytics
BeyondAero Accelerates Aerodynamic Design for Next-Generation Aircraft
Automotive OEM Accelerates Root Cause Analysis with Structured Plant and Field Data
