Objective
Estimate suspension parameters online and incorporate them into the road roughness algorithm to improve accuracy across vehicle variants.
Keywords: suspension parameter estimation, online identification, road roughness, obstacle/bump excitation, sensor fusion, signal processing, MATLAB, system identification
Summary
Road owners require accurate roughness estimation to prioritize maintenance. A key error source is variation across vehicle suspension systems, causing bias when the same roughness is measured differently by different vehicles. This thesis investigates online estimation of suspension parameters and their integration into NIRA’s roughness pipeline. A promising approach is to exploit controlled excitations, e.g., driving over bumps or potholes, to identify parameters that condition the roughness estimator. The outcome should reduce cross-vehicle bias and improve comparability over fleets.
Your profile
We are looking for an engineering student who is studying a master's program with a specialization in Y, D, M, E, F, Z, or equivalent. Knowledge within any of the following areas is beneficial:
We expect you to have a solid academic record, be driven, take initiative, and work independently. You will be carrying out the thesis at our head office in Linköping.
We are looking forward to your application! Do not forget to include a personal letter, CV, and course listing with grades. We will be considering applications on a rolling basis. The earliest expected start date is January 2026.
About NIRA
At NIRA Dynamics, we believe in making roads safer by delivering intelligent software solutions directly into passenger cars. Within our Wheel Safety Insights (WSI) department, we develop advanced in-vehicle algorithms that enhance safety, reliability, and performance — helping cars better understand their wheels, tires, and the road beneath them. Just like our vision of next level of mobility includes all people and all modes of travel, our workplace thrives on diversity and inclusion. The broader the mix of experiences and perspectives we have, the stronger we are in shaping a safer and more sustainable transportation system for everyone.
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