Abstract
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.
Highlights
The hybrid electric vehicle (HEV), an eco-friendly and energy-saving vehicle, has been a very popular in vehicle design and manufacturing [1] to [4]
The design variables, the objective functions and the constraint conditions are determined; the design of the experiment based on the optimal Latin hypercube design (OLHD) is implemented, and the surrogate models are created with response surface method according to the experimental data
The multi-island genetic algorithm (MIGA)-nonlinear programming quadratic line search (NLPQL) hybrid optimization strategy is adopted in this study
Summary
The hybrid electric vehicle (HEV), an eco-friendly and energy-saving vehicle, has been a very popular in vehicle design and manufacturing [1] to [4]. The power-split device (PSD) is a core component of a multi-power coupling system in a series-parallel HEV [5], because it can achieve energy coupling and conversion among the engine, motor, and generator under different working modes. New drive source and drive components are added in the hybrid electric drive vehicle, so the minimum optimization of the volume and quality is more important. The design and optimization of this kind of PSD are challenging. Lightweight design has attracted intensive effort due to its great contribution to cost, material volume and time savings in engineering design [7] and [8]
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