Neural-Network-Based Suspension Kinematics and Compliance Characteristics and Its Implementation in Full Vehicle Dynamics Model-Reference-Cited by-同舟云学术

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Neural-Network-Based Suspension Kinematics and Compliance Characteristics and Its Implementation in Full Vehicle Dynamics Model

Published:2022-03-29 Issue: Volume: Page:
ISSN:0148-7191
Container-title:SAE Technical Paper Series
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Author:

Duan Yupeng,Zhang Yunqing,Wu Jinglai

Publisher

SAE International

Reference25 articles.

1. Segel, L. , “Theoretical Prediction and Experimental Substantiation of the Response of the Automobile to Steering Control,” Proceedings of the Institution of Mechanical Engineers: Automobile Division 10 (1956): 310, doi:https://doi.org/10.1243/pime_auto_1956_000_032_02.

2. Lv, T., Zhang, Y., Duan, Y., and Yang, J. , “Kinematics & Compliance Analysis of Double Wishbone Air Suspension with Frictions and Joint Clearances,” Mechanism and Machine Theory 156 (2021): 104127, doi:https://doi.org/10.1016/j.mechmachtheory.2020.104127.

3. Orlandea, N. and Chace, M. , “Simulation of a Vehicle Suspension with the ADAMS Computer Program,” SAE Technical Paper 770053, 1977, doi:https://doi.org/10.4271/770053.

4. Kuris, S., Gungor, E., Deniz, A., Uysal, G. et al. , “Kinematics and Compliance Analysis of a 3.5 Tonne Load Capacity Independent Front Suspension for LCV,” SAE Technical Paper 2019-01-0935, 2019, doi:https://doi.org/10.4271/2019-01-0935.

5. Feng, X., Xu, P., and Zhang, Y. , “Filled Rubber Isolator’s Constitutive Model and Application to Vehicle Multi-Body System Simulation: A Literature Review,” SAE Int. J. Veh. Dyn., Stab., and NVH 2, no. 2 (2018): 101-120, doi:https://doi.org/10.4271/10-02-02-0007.

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1. A data-driven suspension kinematics and compliance model considering multi-axis coupling effects;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-12-15

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