Rotating Electrical Machine Design: A Computational Approach for the Electrification Era
You can recite the torque equation. You still cannot turn a 200 kW, 400 V, 1485 rpm nameplate into a bore diameter and stack length that works. This book closes that gap.
A graduate-level, computationally driven treatment of electrical machine design. Each chapter pairs full field-theoretic derivation with runnable Python sizing code verified against closed-form checks. Every method arrives with both a derivation and a working tool that reproduces it across induction, synchronous, permanent-magnet, DC, and reluctance machines.
WHAT'S INSIDE
- Electromagnetic foundations, including Maxwell's equations, the Lorentz force law, and five torque-extraction methods.
- Windings and current linkage, including distribution factors, pitch factors, harmonic suppression, and star-of-slots construction.
- Magnetic circuits, leakage, and resistance, including Carter's factor, magnetization curves, leakage inductance, and skin-effect resistance.
- Main dimensions and computational sizing using a coupled electromagnetic, thermal, and mechanical Python workflow.
- Complete induction-machine design, from equivalent circuits and slot selection to a fully sized cage-rotor motor.
- Variable-frequency drives, traction operation, doubly-fed generators, and drive-cycle efficiency mapping.
- Synchronous-machine design, including load-angle behavior, test curves, damper windings, and a complete salient-pole generator design.
- Permanent-magnet machine design, including demagnetization limits, rotor topologies, d-q inductances, saliency, and cogging-torque mitigation.
- EV traction motor design with field weakening and a 4,000-design computational sweep across power density, efficiency, and cost.
- DC machine design, commutation, armature reaction, commutating poles, and compensating windings.
- Switched and synchronous reluctance machines, converter operation, current control, and torque-ripple mitigation.
- Insulation and thermal design using Arrhenius life models and lumped-parameter thermal circuits.
WHAT YOU WILL LEARN TO DO
- Size a machine directly from its power, voltage, and speed specifications.
- Derive equivalent-circuit parameters from physical geometry.
- Calculate leakage inductance and AC copper losses.
- Design a permanent-magnet rotor against demagnetization and saliency limits.
- Build a coupled electromagnetic, thermal, and mechanical sizing program.
- Sweep thousands of candidate designs using Python.
- Predict torque-speed behavior under variable-frequency drive supply.
WHY THIS BOOK
- Every sizing method includes runnable Python code.
- Permanent-magnet traction design receives full chapter-length coverage.
- Leakage, skin effect, insulation, and thermal design receive detailed treatment.
- 83 worked examples and 225 solved problems follow one consistent six-part method.
- One notation system and figure style extends across every machine type.
WHO THIS BOOK IS FOR
Graduate students taking electrical-machine design courses and practicing engineers moving from machine analysis into practical sizing, especially those working in EV traction and industrial-drive programs.
A machine sized incorrectly is expensive to learn about after the prototype is built. This book puts that mistake on paper, and in Python, first.
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