Multi-objective optimization of suspension of light bus based on SPEA2+(PDF)
长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]
- Issue:
- 2015年06期
- Page:
- 128-134
- Research Field:
- 汽车与机械工程
- Publishing date:
Info
- Title:
- Multi-objective optimization of suspension of light bus based on SPEA2+
- Author(s):
- ZU Qing-hua; SHI Wen-ku; WANG Chang-xin; CHEN Zhi-yong; FANG De-guang
- 1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, Jilin, China; 2. Department of Product Engineering, Nanjing IVECO Motor Company Limited, Nanjing 210028, Jiangsu, China
- Keywords:
- automobile engineering; light bus; suspension; SPEA2+; multi-objective optimization; automotive CAO
- PACS:
- U462.3
- DOI:
- -
- Abstract:
- In order to improve the vehicle’s ride comfort and stability, a virtual dynamic model of a light bus was established in Matlab and Adams-Car. Multi-objective method of SPEA2+ was used for reasonably matching and optimizing the front and rear suspensions parameters. The tire mechanical characteristics was firstly tested to secure the accuracy of the model, then the magic formula tire model(Pac2002) was obtained by parameter identification method. An optimal method for light bus’s suspension system was put forward, in which the torsion stiffness of front torsion bar, the pre and post damping curve coefficients, the torsional stiffness of pre and post stabilizer bars and the stiffness of rear suspension were selected as the optimal variables. The allowed regions of optimization variables were separately determined according to the bus’s actual situation. The max lateral acceleration of steady static circular simulation, the yaw rate and roll angle of the body of slalom simulation, and the Z-direction acceleration RMS of the frame on B-level road at speed of 80 km/h were chosen as the optimal target. Later, the suspension samples were manufactured, and the comparative trials were respectively done at an automotive proving ground to verify the optimization results . The results show that the ride comfort of the optimized bus increases by about 20%, while the stability remain unchanged and the proposed optimization method can be used for improving the vehicle’s ride comfort and stability and it has become a development trend of automotive computer-aided optimization technology(CAO).It has the guiding significance for virtual development and optimization of automotive chassis.
Last Update: 2015-11-23