Szczegóły publikacji
Opis bibliograficzny
Identification of magnetic-borne noise in automotive electric power steering systems / Ireneusz GŁĄB, Tadeusz WSZOŁEK, Tomasz DRABEK, Mateusz Czechowski, Jakub Wróbel, Damian Pietrusiak // Energies [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1996-1073 . — 2025 — vol. 18 iss. 23 art. no. 6181, s. 1–17. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 15–17, Abstr. — Publikacja dostępna online od: 2025-11-25. — I. Głąb – dod. afiliacja: Nexteer Automotive Poland, Tychy, Poland
Autorzy (6)
- AGHGłąb Ireneusz
- AGHWszołek Tadeusz
- AGHDrabek Tomasz
- Czechowski Mateusz
- Wróbel Jakub
- Pietrusiak Damian
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165133 |
|---|---|
| Data dodania do BaDAP | 2026-01-12 |
| Tekst źródłowy | URL |
| DOI | 10.3390/en18236181 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Energies |
Abstract
This study proposes a practical and systematic methodology for identifying and characterizing magnetically induced noise in Column Electric Power Steering (CEPS) systems through vehicle-level testing. A coil sensor mounted on the Electric Power Steering (EPS) motor was employed to capture induced voltage signals during steering maneuvers, providing a real-time tachometric reference for order-tracking analysis. In-vehicle acoustic measurements conducted with a binaural headset revealed dominant magnetic harmonics—most notably the 24th order associated with rotor–stator interaction—and their higher-order components. To validate these observations under controlled conditions, complementary experiments were performed in a semi-anechoic chamber. Additionally, structural dynamic properties were evaluated through impact testing to distinguish electromagnetic excitations from mechanical resonances. The proposed methodology demonstrates a cost-effective and accurate approach for assessing the Noise, Vibration, and Harshness (NVH) characteristics of EPS systems, facilitating design optimization and noise mitigation without the need for extensive instrumentation or full-vehicle prototype testing.
