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Automotive Electric Power Steering Systems NVH Performance Investigations

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Abstract

This paper deals with noise and vibration problems in electric power steering systems used in modern automotive platforms. Various types of commonly used power steering systems are presented. The noise and vibration performance of new EPS designs can have a significant impact on users. Computational FEM methods used to investigate the dynamic properties mechanical systems were implemented to situationally test the NVH performance of EPS systems. Computational FEM model building procedure is presented with detailed description of crucial EPS system elements and contacts. Conventional EPS vibro-acoustic measurement techniques such as modal testing and Field Data Replication are presented alongside newer techniques such as acoustic camera measurements.

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Abbreviations

NVH:

noise, vibration, and harshness

EPS:

electric power steering

HPS:

hydraulic power steering

CEPS:

column-assist EPS

BEPS:

level brush motor column-assist EPS

REPS:

rack-assist EPS

SPEPS:

single pinion assist EPS

OEM:

original equipment manufacturer

FEM:

finite element method

BCs:

boundary conditions

CRB:

center rack bushing

FDR:

field data replication

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Acknowledgement

Research presented above was cofounded by the European Union, European Regional Development Fund — Operational Programme Smart Growth 2014–2020. Project Implemented as part of the National Center for Research and Development: Priority Axis I: Supporting R&D carried out by enterprises, Measure 1.2: Sectoral R&D Programmes. Project no.: POIR01.02.00-00.0270/16-00, “New generation of Single Pinion Electric Power Steering system ready for future EU market needs with Automatically Commanded Steering Function and enhanced mechanical performance”. Project value: 19,645,215.24 PLN, Co-financing amount: 8,203,215.94 PLN.

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Correspondence to Jakub Wróbel.

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Wróbel, J., Pietrusiak, D., Fiebig, W. et al. Automotive Electric Power Steering Systems NVH Performance Investigations. Int.J Automot. Technol. 23, 1153–1161 (2022). https://doi.org/10.1007/s12239-022-0101-3

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  • DOI: https://doi.org/10.1007/s12239-022-0101-3

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