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Engine compartment thermal management can achieve energy saving and emission reduction. The structural design of the components in the engine compartment affects the thermal fluid flow performance, which in turn affects the thermal management performance. In this paper, based on the phenomenon that the surface of the parts in the engine compartment is abnormally high due to design defects of an SUV engine compartment bottom shield, the engine compartment is modeled and analyzed by CFD using the software STAR-CCM+. It is not conducive to the heat dissipation, so the bottom shield needs to be redesigned. To redesign the shape of the bottom shield, four dimensions and one coordinate value were selected as the design parameters, and the oil pan maximum surface temperature was selected as the optimization target. The Latin hypercube sampling method was used to sample the space uniformly, and the experimental design plan was constructed and simulated.

The layout of component in the engine compartment affects the fluid flow performance, thereby affects the thermal management performance. Based on the fluid flow performance in the engine compartment of an SUV, this paper proposes local optimization plans of the cooling module—moving downward the oil cooler and forward the intercooler, tilting an angle of the cooling module and shifting the fan. This paper took the fan center temperature as the optimization goal and set three levels for the four factors. It was found that the deviation of the fan has the most significant impact on fan center temperature among four factors. Then we discovered that the interaction between the factors has a significant impact on the air intake volume of the cooling module.

As an excellent nanoscale material, carbon nanotubes (CNTs) play a very important role in improving the batteries of new energy vehicles. The micro-scale combustion flame synthesis method is a promising method for preparing carbon nanotubes. To explore the optimal growth condition of carbon nanotubes under micro-scale combustion, the detailed mechanism of methanol C3 (114 species, 1999 reactions) was reduced based on whole-species sensitivity analysis, then a suitable model of methanol combustion was established by using Fluent software coupling with simplified mechanism (16 species, 65 reactions) of methanol. The model was used for the numerical simulation of micro-scale coaxial diffusion combustion of methanol, and then it was verified by the experimental results of micro-scale combustion of methanol.