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Tire Force Estimation Based on the Recursive Least Square Method Utilizing Wheel Torque Measurement
Chalmers Tekniska Högskola. (Vehicle dynamics)
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation. Chalmers Tekniska Högskola. (Vehicle Dynamics)
Chalmers Tekniska Högskola. (Vehicle Dynamics)
Volvo Cars Cooperation.
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This study investigates a new tire force estimator based on the recursive least square (RLS) method. Tire force estimation with known driving wheel torque is studied and compared to the case with torque estimation from the internal combustion engine. This is motivated by a future scenario with electric propulsion, which reasonably gives improved wheel torque estimations. Sensitivity to vehicle parameters and challenges with individual lateral tire force estimation are also investigated. The results, experimental and simulation data, show good performance and potential for tire force estimation using the RLS method.

Place, publisher, year, edition, pages
2014.
Keyword [en]
Tyre, Force, Estimation, Calculation, Wheel, Torque
National Category
Vehicle Engineering
Research subject
90 Road: Vehicles and vehicle technology, 911 Road: Components of the vehicle
Identifiers
URN: urn:nbn:se:vti:diva-7459OAI: oai:DiVA.org:vti-7459DiVA: diva2:774153
Conference
The 12th International Symposium on Advanced Vehicle Control, (AVEC’14)
Available from: 2014-12-22 Created: 2014-12-22 Last updated: 2016-08-29Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
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Output format
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