# Fully Automated Multi-Disciplinary Optimization of an Electric Vehicle Motor Thermal Design

This Best Practice document describes how an optimization based on a sequential thermal-structural analysis can be deployed across an organization and used in the decision-making process to arrive at a design that satisfies the requirements.

This Best Practice document describes how an optimization based on a sequential thermal-structural analysis can be deployed across an organization and used in the decision-making process to arrive at a design that satisfies the requirements. Refer to [QA00000365810 ](https://support.3ds.com/knowledge-base/?q=docid:QA00000365810 "QA00000365810")for sample data associated with this best practice document.

Prerequisites and recommendations: To use this best practice, the user must be familiar with the following roles: Multidisciplinary Optimization Engineer (MDO), Fluid Dynamics Engineer (FMK) and Structural Mechanics Engineer (SSU) role.

Target audience: Design Engineers, Thermal Engineers, Hydraulic Engineers, CFD analysts, and Methods developers.

[   Download PDF     ](https://media.3ds.com/support/white-papers/adv_ent/external/2024/DS_WhitePapers_Fully_Automated_MultiDisciplinary_Optimization_of_an_Electric_Vehicle_Motor_Thermal_Design.pdf)

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