Babysitter electric-motor-design
Electric motor and drive unit design and optimization expertise
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/automotive-engineering/skills/electric-motor-design" ~/.claude/skills/a5c-ai-babysitter-electric-motor-design && rm -rf "$T"
manifest:
library/specializations/domains/science/automotive-engineering/skills/electric-motor-design/SKILL.mdsource content
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