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Match-based pseudo-MAP full-operation-range optimization method for a turbocharger compressor

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Abstract

To achieve full-operation-range performance optimization of a compressor and better matching performance with an engine in an accurate and efficient way, a novel pseudo-MAP optimization method is proposed. The pseudo-MAP is a contour-map (MAP) with the performance of only nine compressor characteristic operating points. As these nine points all represent the extreme and intermediate operation conditions in a compressor MAP, there are strong similarities between the compressor MAP and its pseudo-MAP. To verify that the compressor full-operation-range optimization can be replaced by the optimization of the pseudo-MAP, the performance of all the nine points are set as the optimization objectives. The approximation relation between the optimization objectives and the factorial analysis-screened compressor parameters is constructed via experimental design (DoE) and the radial basis function (RBF), and then, a multi-objective optimization for 18 optimization objectives is conducted by using a genetic algorithm (NSGA-II). After optimization, the choke flow of one compressor increases by 20%, and its maximum efficiency increases to 80%. Moreover, the pressure ratio significantly increases at medium or high flow, and the variation within the entire flow range is suppressed. As a result, the engine matched with the optimized compressor provides more power with higher efficiency and stability, which verifies the feasibility of the pseudo-MAP optimization method.

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Acknowledgements

The author is very grateful to Prof. Jimin Ni, Qiwei Wang, Xiuyong Shi, and the Institute of Energy Conservation and Emission Control of Automotive College of Tongji University for conducting research and providing support.

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Authors and Affiliations

  1. Tongji University, 4800 Caoan Road, Shanghai, China

    Qinqing Chen, Jimin Ni, Qiwei Wang & Xiuyong Shi

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  1. Qinqing Chen
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  2. Jimin Ni
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  3. Qiwei Wang
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  4. Xiuyong Shi
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Correspondence to Qinqing Chen.

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Replication of results

In the pseudo-MAP optimization method, the vital task is to set nine characteristic operating points for optimization. These points distribute in near-surge, medium, and near-choke conditions respectively at each low, medium, and high characteristic rotating speeds in the compressor MAP. Their performances (efficiency and flow at the medium and near-choke points, efficiency, and pressure ratio at the near-surge points) are set as optimization objectives, while the compressor parameters are screened by 2k factorial analysis. Then, the appropriate model is constructed via DoE and RBF. The optimal compressor structure is obtained by conducting a multi-objective optimization with 18 optimization objectives. All the involved test plans and data processing methods are provided in the paper and the supplementary Tables 1–8.

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Chen, Q., Ni, J., Wang, Q. et al. Match-based pseudo-MAP full-operation-range optimization method for a turbocharger compressor. Struct Multidisc Optim 60, 1139–1153 (2019). https://doi.org/10.1007/s00158-019-02262-2

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  • DOI: https://doi.org/10.1007/s00158-019-02262-2

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