journal article·2022-11-23Open access

Study on Correction Method of Internal Joint Operation Curve Based on Unsteady Flow

Sheng Yin, Jimin Ni, Houchuan Fan, Xiuyong Shi, Rong Huang

Applied Sciences· Volume 12· Issue 23

Abstract

The turbocharger, a key component in a vehicle’s powertrain, results in insufficient accuracy if it does not fully consider the unsteady flow effects of the intake and exhaust systems. Based on the difference between the turbocharger’s actual operating performance with unsteady flow and the corresponding steady flow performance, unsteady flow correction concepts and correction methods for the compressor and turbine were put forward, and the correction of the internal joint operation curve was investigated. The results show that when unsteady correction coefficients were added to both ends of the turbocharger and the optimized structure was used at both ends, the original turbocharger’s surge margin was reduced by 4.6% to 11.8%, and that of the optimized turbocharger was reduced by 15.2% to 21.9% in the medium–low-speed range. Meanwhile, the unsteady flow energy utilization coefficient of the optimized turbocharger was more than 14.5% higher than that of the original turbocharger in the medium–low speed range, and the energy utilization advantage was obvious. It indicated that the optimized turbocharger was working earlier, and the engine’s medium–low-speed admission performance has been obviously improved. Therefore, compared with the steady curve, the corrected unsteady curve was closer to the actual engine performance.
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Research context

OpenAlex topics: Aerodynamics and Fluid Dynamics Research · Vehicle emissions and performance · Turbomachinery Performance and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Automotive Studies, Tongji University, Shanghai 201804, China

Funding

National Natural Science Foundation of China youth Science Foundation project · Nanchang Intelligent New Energy Vehicle Research Institute Foresight Project

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