Design and Optimization of PSD Housing Using a MIGA-NLPQL Hybrid Strategy Based on a Surrogate Model

作者：Li, Feng; Qin, Yumo; Pang, Zhao; Tian, Lei; Zeng, Xiaohua^*

来源：Strojniski Vestnik-Journal of Mechanical Engineering, 2014, 60(7-8): 525-535.

DOI：10.5545/sv-jme.2013.1492

• hybrid electric vehicle
• power-split device
• hybrid optimization
• surrogate model
• multi-island genetic algorithm
• nonlinear programming quadratic line search

A new power-split device (PSD) is designed as the core component of the multi-power coupling system in a hybrid electric vehicle. it is important to consider the influence of the factors of weight and stiffness on performance of PSD when designing PSD housing. In this paper, the overall arrangement of the power distribution system and PSD housing are redesigned. The finite element analysis is conducted to test PSD housing stiffness. According to the results of the analysis, this study adopts a hybrid optimization strategy based on surrogate models to obtain the least weight under the constraint of PSD housing stiffness. The surrogate models are established using a responsive surface method based on the data obtained by the optimal Latin hypercube design (OLHD). The hybrid optimization strategy combines a multi-island genetic algorithm (MIGA) with a nonlinear programming quadratic line search (NLPQL), which ensures obtaining optimal design parameters for PSD housing. In comparison with optimization using a single MIGA, this hybrid optimization strategy is more efficient and feasible for optimizing housing.

• 出版日期2014-8
• 单位吉林大学