Engineering Hub
The Power Flux AI
Technical Deep-Dive.
Deep technical content from 35+ years of power electronics engineering. SiC inverter design, AI-FOC motor control, harmonic compliance, and digital twin deployment.
FEAOpen SourceComing Soon
FEMM vs ANSYS Maxwell: Can Open-Source FEA Match Enterprise Results?
A side-by-side comparison of flux density, cogging torque, and back-EMF results across both tools for a 15 kW PMSM design.
RD
Rakesh DhawanApril 2026
AI-FOCMotor ControlComing Soon
AI-FOC vs Classical FOC: What Changes, What Stays the Same
The field-oriented control framework is unchanged. What AI adds is real-time parameter adaptation that classical FOC cannot achieve without static derating.
RD
Rakesh DhawanMay 2026
MethodologyConsultingComing Soon
90 Days from Concept to Prototype: The CARE™ Methodology
The CARE methodology delivered 75% cycle reduction at Falco eMotors. Here is how it was rebuilt as an AI-native platform at Power Flux AI.
RD
Rakesh DhawanJune 2026
Newsletter
Technical depth in your inbox.
One to two technical articles per month. No marketing. Pure engineering insights.