Multi objective optimization method for collision safety of networked vehicles based on improved particle optimization

Abstract

The crashworthiness and energy absorption optimization of automobile structure is an important research content of the modern automobile industry. Facing the problem that traditional optimization methods are difficult to find the optimal solution for multi-objective parameters of vehicle structure crashworthiness problem, a multi-objective optimization method of vehicle crash safety based on improved particle swarm optimization is proposed. Through the collection and optimization of vehicle collision safety parameters, the vehicle structure performance is improved, and the vehicle regression model is constructed. Using this method, the front-end structure reinforcement of the vehicle is taken as the design variable. In order to realize the multi-objective optimization design method of vehicle collision safety, the multi-objective optimization parameters of vehicle frontal collision and offset collision are taken as the objective function. Finally, the simulation results show that the multi-objective optimization method based on an improved particle swarm optimization algorithm has an obvious effect on the optimization of vehicle structure crash safety.

KEYWORDS:

• Improved particle swarm optimization
• vehicle collision
• multi-objective optimization

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Xingtai City Science and Technology Bureau (Research on Multi objective optimization method for collision safety of networked vehicles based on Improved Particle Swarm Optimization).

Notes on contributors

Zhiyi Huo

Zhiyi Huo was born in Neiqiu, Xingtai, P.R. China, in 1978. He received the Master degree from Hebei University of Technology, P.R. China. Now, he works in department of automotive engineering, Hebei Vocational University of Technology and Engineering, His research interests include cloud vehicle works, material engineering and transport works. Email: [email protected]

Weize Liu

Weize Liu was born in Shijiazhuang, Heibei, P.R. China, in 1972. He received the Master degree from Hebei University of Technology, P.R. China. Now, he works in department of automotive engineering, Hebei Vocational University of Technology and Engineering, His research interests include vehicle engineering and electronic control technology. Email: [email protected]

Qian Wang

Qian Wang was born in LinTong, ShanXI, P.R. China, in 1977. She received the Master degree from Hebei University of Science & Technology University, P.R. China. Now, she works in department of electrical and mechanical engineering, Hebei Vocational University of Technology and Engineering, her research interests include mechanical manufacturing, material engineering and mechanical design. Email: [email protected]