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International Journal of Automotive Technology

, Volume 18, Issue 6, pp 1077–1083 | Cite as

Development of algorithms for commercial vehicle mass and road grade estimation

  • Seungki Kim
  • Kyungsik Shin
  • Changhee Yoo
  • Kunsoo Huh
Article

Abstract

Estimation algorithms for road slope angle and vehicle mass are presented for commercial vehicles. It is well known that vehicle weight and road grade significantly affect the longitudinal motion of a commercial vehicle. However, it is very difficult to measure the weight and road slope angle in real time because of lack of sensor technology. In addition, the total weight of a commercial vehicles varies depending on the freight. In this study, the road grade and vehicle mass estimation algorithms are proposed using the RLS (Recursive Least Square) method and only the in-vehicle sensors. The proposed algorithms are verified in experiments using a commercial vehicle under various conditions.

Key words

Road grade Vehicle mass Kalman filter Recursive least square Forgetting factor 

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Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Seungki Kim
    • 1
  • Kyungsik Shin
    • 1
  • Changhee Yoo
    • 2
  • Kunsoo Huh
    • 1
  1. 1.Department of Automotive EngineeringHanyang UniversitySeoulKorea
  2. 2.Department of DesignSangsin BrakeDaeguKorea

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