Author:
Nguyen Tien Dung ,Bui Van Cuong ,Le Van Quynh ,Hoang Anh Tan
Abstract
This study proposes a solution to reduce vertical vibrations and body pitching in response to random road surface excitations. To achieve these objectives, a half-vehicle model of an electric vehicle (EV) is developed to determine optimal parameters for both the EV suspension system and the driver's seat suspension system. An Improved Artificial Fish Swarm Algorithm (IAFSA) is implemented using MATLAB software to optimize these suspension parameters. The optimization aims to minimize the root mean square (RMS) values of three objective functions: vertical driver's seat acceleration (aws), vertical vehicle body acceleration (awb), and pitching vehicle body acceleration (awphi). The optimization results reveal that the values of these three objective functions decrease when using the optimized suspension parameters compared to the original suspension settings. Specifically, the aws, awb and awphi values are reduced by 15.44%, 11.46%, and 8.65%, respectively, when the vehicle travels on an ISO road class B at a speed of 20 m/s with a full load. Furthermore, the peak amplitude values of as, ab, and aphi in the frequency domain are also reduced with the optimized suspension parameters compared to the original settings under the specified conditions.
Publisher
Academy of Military Science and Technology
Reference25 articles.
1. [1]. I. Dridi et al, “A new approach to controlling an active suspension system based on, reinforcement learning”, Advances in Mechanical Engineering, Vol. 15, No.6, pp. 1–21, (2023).
2. [2]. L. R. Miller, “Tuning passive, semi-active and fully active suspension systems”, In Proceedings of the 27th IEEE Conference on Decision and Control, Austin, TX, USA, pp. 2047–2053, (1988).
3. [3]. T. Yoshimura et al, “Construction of an active suspension system of a quarter car model using the concept of sliding mode control”, Journal of Sound and Vibration, Vol. 239, pp. 187–199, (2001).
4. [4]. J. Lin et al, “Intelligent control of active suspension systems”. IEEE Transactions on Industrial Electronics, Vol. 589, pp. 618–628, (2011).
5. [5]. Y. Shiao et al, “The analysis of a semi-active suspension system”. In Proceedings of the SICE Annual Conference, Taipei, Taiwan, pp. 1-6, (2010).