LabCompass

Steve Pekarek

Engineering · Purdue University West Lafayette

OpenAlex
Established · publishing since 1992
Electric Motor Design and AnalysisAdvanced Battery Technologies ResearchMagnetic Bearings and Levitation DynamicsElectric and Hybrid Vehicle TechnologiesElectric Vehicles and Infrastructure

Publications

74

Citations

1,733

Est. group size

—

Recurring co-author estimate

Active years

35

Publishing since 1992

Research summary
AI-generated

Steve Pekarek's work focuses on electric machines, power electronics, and control systems for electrified vehicles, including hybrid electric vehicle power management, motor fault detection, and wireless power transfer for freight transportation. His research combines electric motor design, battery and magnetic component modeling, and fault-tolerant control strategies aimed at improving reliability and efficiency of electrified transportation and power systems.

Electric motor design and fault detectionHybrid and electric vehicle control systemsWireless power transfer for transportationMagnetic component modeling (transformers, generators)Power electronics for energy systems

Publication output was low to moderate and irregular over the past decade, with a gap in several years followed by a sharp cluster of listed entries in 2026, suggesting uneven recent activity rather than steady, continuous output.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
2017: 3 publications172018: 3 publications18192020: 1 publication20212022: 1 publication2223242025: 1 publication252026: 6 publications626
Recent publications
Publishes in
  • IEEE RESOURCE CENTERS×5
  • arXiv (Cornell University)×3
  • IEEE Transactions on Aerospace and Electronic Systems×1
  • Journal of Dynamic Systems Measurement and Control×1
  • Purdue e-Pubs (Purdue University)×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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