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Thin-walled structures have been widely used in automobile body design because of its good lightweight and superior mechanical properties. For the energy-absorbing box of the automobile, it is necessary to consider its working conditions under the axial and oblique impact. In this paper, a novel hierarchical honeycomb is proposed and used as filler for thin-walled structures. Meanwhile, the crashworthiness performances of the conventional honeycomb-filled and the hierarchical honeycomb-filled thin-walled structures under different impact conditions are systematically studied. The results indicate the energy absorption of the hierarchical honeycomb-filled thin-walled structure is higher than that of the conventional honeycomb-filled thin-walled structure, and the impact angle has significant effects on the energy absorption performance of the hierarchical honeycomb-filled structure.

In this study, design procedure and performance of a series-parallel type plug-in hybrid electric vehicle (PHEV) are investigated using the virtual integrated development environment (VIDE). First, the powertrain model of the target PHEV is constructed using the provided component library in the VIDE. Component parameters are determined based on the objective vehicle performance such as the maximum speed, hill climbing ability, acceleration performance etc. In addition, control algorithm and a full car simulator are developed for the target PHEV. The VIDE full car simulator is validated by AVL CRUISE software. Using the VIDE simulator, performance of the PHEV component and mode control algorithm are investigated and modifications on design parameters and mode control algorithm are proposed to improve the fuel economy.

Hybrid vehicle, equipped power source not only gas engine but also motor, power electronics and differing types of transmissions, manifests more complicated/specific/exceptional NVH behaviors than that of gas powered vehicle, like parking engine start/stop for charging, EV mode traction/recuperation, mode switch, etc. On top of that, differing hybrid architecture exists, depending on number and location of motor and type of transmission, hence NVH features and related control strategies are highly likely to be different even under identical driving scenarios, as such, the holistic and deep insight into the NVH features and related control strategies are very meaningful for hybrid vehicle NVH performance refinement, and will expedite the process of vehicle NVH development.