Fault Detection Methods for Electric Power Steering System Using Hardware in the Loop Simulation

Author:

Pietrowski Wojciech1ORCID,Puskarczyk Magdalena2ORCID,Szymenderski Jan1ORCID

Affiliation:

1. Faculty of Automatic, Robotics and Electrical Engineering, Institute of Electrical Engineering and Electronics, Poznan University of Technology, Piotrowo 3a, 61-138 Poznan, Poland

2. Nexteer Automotive Poland sp. z o. o., Towarowa 6, 43-100 Tychy, Poland

Abstract

The development of the automotive industry is associated with the rapid advancement of onboard systems. In addition, intensive development in the electronics and control systems industry has resulted in a change in the approach to the issue of assistance systems in vehicles. Classic hydraulic systems have been almost completely replaced by modern electric power steering (EPS) systems, especially in citizen vehicles. This paper focuses on fault detection algorithms for EPS, along with the available tools to aid development and verification. The article discusses in detail the current state of knowledge in this area. The principle of operation of the EPS system and the influence of the structure of the mechanical system on its operation, in particular the characteristics of the ground–tire contact, are presented. Various error identification methods are presented, including those based mainly on a combination of tests of real objects as well as those combined with modern hardware-in-the-loop (HIL) equipment and virtual vehicle environment software, enabling the development of new diagnostic methods, enhancing the security, reliability, and energy control in the vehicle. A review of the literature indicates that although many algorithms which enable fault detection at an early stage are described, their potential for use in a vehicle is highly limited. The reason lies in simplifications, including models and the operating EPS temperature range. The most frequently used simplification of the model is its linearization, which significantly reduces the calculation time; however, this significantly reduces the accuracy of the model, especially in cases with a large range of system operation. The need for methods to detect incipient faults is important for the safety and reliability of the entire car, not only during regular use but also especially during life-saving evasive maneuvers.

Funder

Poznań University of Technology

Publisher

MDPI AG

Reference34 articles.

1. (2023, July 18). Nexteer Product Line: EPS and SbW. Available online: https://www.nexteer.com/electric-power-steering/.

2. Kotb, R., Chakraborty, S., Tran, D.D., Abramushkina, E., El Baghdadi, M., and Hegazy, O. (2023). Power Electronics Converters for Electric Vehicle Auxiliaries: State of the Art and Future Trends. Energies, 16.

3. Fast fault-tolerant control of electric power steering systems in the presence of actuator fault;Allous;Proc. Inst. Mech. Eng. Part D J. Automob. Eng.,2019

4. Robust adaptive fault tolerant control for a class of Lipschitz nonlinear systems with actuator failure and disturbances;Azmi;Proc. Inst. Mech. Eng. Part I J. Syst. Control Eng.,2016

5. An intelligent self-repairing control for nonlinear MIMO systems via adaptive sliding mode control technology;Chen;J. Frankl. Inst.,2014

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