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Vehicle Driving Load Estimation for Longitudinal Motion Control
Technical Paper
2000-05-0249
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English
Abstract
An estimation algorithm for vehicle driving load has been proposed in this paper. Driving load is an important factor in a vehicle's longitudinal motion control. An approach using an observer is introduced to estimate driving load based on inexpensive RPM sensors currently being used in production vehicles. Also, the new torque estimation technique using neural network has been incorporated in this estimation algorithm to achieve better performance over variations in the automotive power transmissions process. The effectiveness of the observer-based method is demonstrated through the use of a nonlinear full vehicle simulation model in various scenarios. The proposed method using an observer has good performance, both over modeling error in powertrain system and under the uncertain environment of a running vehicle. An accurate estimate of the driving load can be very helpful in the development of the advanced longitudinal control systems such as intelligent cruise control systems, CW/CA systems, and platoon control systems.
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Authors
- Duk Ho Kim - 1) School of Mechanical and Aerospace Engineering, Seoul Nat' 1 Univ., San 56-1, Shillim-dong, Kwanak-gu, Seoul 151-742, Korea 2) School of Mechanical Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu 133-791, Korea
- Byung Kwan Shin - 1) School of Mechanical and Aerospace Engineering, Seoul Nat' 1 Univ., San 56-1, Shillim-dong, Kwanak-gu, Seoul 151-742, Korea 2) School of Mechanical Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu 133-791, Korea
- Kyongsu Yi - 1) School of Mechanical and Aerospace Engineering, Seoul Nat' 1 Univ., San 56-1, Shillim-dong, Kwanak-gu, Seoul 151-742, Korea 2) School of Mechanical Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu 133-791, Korea
- Kyo Il Lee - 1) School of Mechanical and Aerospace Engineering, Seoul Nat' 1 Univ., San 56-1, Shillim-dong, Kwanak-gu, Seoul 151-742, Korea 2) School of Mechanical Engineering, Hanyang University, 17 Haengdang-dong, Seongdong-gu 133-791, Korea
Topic
Citation
Kim, D., Shin, B., Yi, K., and Lee, K., "Vehicle Driving Load Estimation for Longitudinal Motion Control," SAE Technical Paper 2000-05-0249, 2000.Also In
References
- Hiroshi et al. “A Study of Road Slope Estimation on Running Vehicles with Automatic Transmission” AVEC'98 177 182
- Meditch, J.S. Hostetter G.H. “Observers for systems with unknown and inaccessible inputs” International Journal of Control 19 3 473 480
- Masmoudi R.A. Hedrick J.K. “Estimation of Vehicle Shaft Torque Using Nonlinear Observers” ASME Journal of Dynamic Systems, Measurement and Control 114 4 394 400
- Cho D. Hedrick J.K. “Automotive Powertrain Modeling for Control” ASME Journal of Dynamic Systems, Measurement and Control 19 3 473 480
- Hayashi et. al. “Neuro Fuzzy Transmission Control for Automobile with Variable Loads” IEEE Trans. Control System Technology 3 1 49 53 1995
- Yi K. S. Woo M. S. Kim S. H. Lee S. C. “A Study on Road-Adaptive CW/CA Algorithm for Automobiles Using HiL Simulations” JSME International Journal 42 1 163 170 1999
- Hedrick J.K. et. Al. “Longitudinal Control Development for IVHS Fully Automated and Semi-Automatic System- Phase 1” California PATH Research Report 1995
- Liubakka M.K. et al. “Adaptive Automotive Speed Control” IEEE Trans. Automatic Control 38 1011 1020 1993
- Kim D.H. et. al. “Observer-based Estimation of Driving Resistance Load for Vehicle Longitudinal Motion Control” Proc.KACC'99 E 185 188 1999
- Wong, J.Y. “Theory of Ground Vehicles” New York Wiley 1993