home / skills / a5c-ai / babysitter / electric-motor-design
This skill helps you design and optimize electric motors and drive units, including topology selection, EM analysis, thermal modeling, and control algorithm
npx playbooks add skill a5c-ai/babysitter --skill electric-motor-designReview the files below or copy the command above to add this skill to your agents.
---
name: electric-motor-design
description: Electric motor and drive unit design and optimization expertise
allowed-tools:
- Read
- Write
- Glob
- Grep
- Edit
- WebFetch
- WebSearch
- Bash
metadata:
version: "1.0"
category: automotive-engineering
tags:
- electrification
- motor
- inverter
- drive-unit
---
# Electric Motor Design Skill
## Purpose
Enable electric motor and drive unit design and optimization including electromagnetic analysis, thermal modeling, and control algorithm development.
## Capabilities
- Motor topology selection (PMSM, induction, SRM)
- Electromagnetic FEA simulation (JMAG, Motor-CAD, ANSYS Maxwell)
- Efficiency map generation and analysis
- Thermal modeling and cooling design
- NVH analysis for electric motors
- Demagnetization analysis
- Inverter sizing and selection
- Field-oriented control (FOC) algorithm development
## Usage Guidelines
- Select motor topology based on performance and cost requirements
- Optimize efficiency across typical drive cycles
- Design cooling for continuous and peak power requirements
- Analyze NVH characteristics for acceptable noise levels
- Validate demagnetization resistance at extreme temperatures
- Document motor specifications and control parameters
## Dependencies
- JMAG
- Motor-CAD
- ANSYS Maxwell
- MATLAB/Simulink
## Process Integration
- PTE-002: Electric Drive Unit Development
- PTE-003: Hybrid Powertrain Integration
- PTE-004: Powertrain Calibration and Optimization
This skill provides hands-on expertise for electric motor and drive unit design, covering topology selection, electromagnetic simulation, thermal modeling, and control algorithm development. It packages practical methods to optimize efficiency, cooling, NVH, and demagnetization resilience for production and prototype applications. The focus is on delivering validated motor specifications and control parameters ready for integration into vehicle or industrial powertrains.
The skill inspects design requirements (power, torque, duty cycle, cost) and recommends motor topologies such as PMSM, induction, or SRM. It guides electromagnetic FEA workflows using industry tools, generates efficiency maps, and couples thermal models to cooling designs. It also supports inverter sizing and field-oriented control (FOC) algorithm development, with NVH and demagnetization analyses to validate performance across operating conditions.
Which tools are recommended for electromagnetic and thermal simulation?
Use industry-grade FEA packages such as JMAG, Motor‑CAD, or ANSYS Maxwell coupled with thermal modeling tools or MATLAB/Simulink for system-level validation.
How do I choose a motor topology?
Select topology based on required torque density, cost, control complexity, and operating temperature; PMSM for high efficiency, induction for robustness, SRM for simplicity under some constraints.