Two-step Constrained Particle Swarm Optimization Algorithm and Its Application to Lightweight Design of New Energy Vehicles

被引：0

作者：

Li Z. ^{[1
,2
]}

Liu Z. ^{[1
,2
]}

Zhu P. ^{[1
,2
]}

机构：

[1] School of Mechanical Engineering, Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration, Shanghai

[2] Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai

来源：

Qiche Gongcheng/Automotive Engineering | 2019年 / 41卷 / 01期

关键词：

Boundary local search; Car-body lightweight design; Constrained optimization; Particle swarm optimization algorithm; Subset constraint boundary reduction equation;

D O I：

10.19562/j.chinasae.qcgc.2019.01.015

中图分类号：

学科分类号：

摘要：

In view of the problem that during engineering optimization the optima generally are located at near constraint boundaries due to the limitation of resources, but current constrained optimization algorithms tend to focus on handling constraint mechanism and seldom to search near constraint boundaries, an algorithm of two-step constrained particle swarm optimization (PSO) algorithm is proposed in this paper. In the first step, PSO algorithm based on penalty function is adopted for optimization with a pointer for speed reset used to prevent optimization from falling into stagnation. In the second step, subset constraint boundary reduction equation is employed to acquire information of constraint boundaries, and sequential quadratic programming (SQP) is utilized to conduct local search on boundaries. Finally the results of two steps are compared and the better one is chosen as the global optimum. As an application, the modified algorithm proposed is used to perform body lightweight optimization on a fuel cell sedan under both side collision and roof crash conditions, resulting in a 10.92% mass reduction of some body panels taking part in optimization while ensuring the structural crashworthiness of the vehicle. © 2019, Society of Automotive Engineers of China. All right reserved.

引用

页码：91 / 95

页数：4

共 6 条

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