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      • SCIESCOPUSKCI등재

        EXPLORING THE FUEL ECONOMY POTENTIAL OF ISG HYBRID ELECTRIC VEHICLES THROUGH DYNAMIC PROGRAMMING

        G.-Q. AO,J.-X. QIANG,H. ZHONG,L. YANG,B. ZHUO 한국자동차공학회 2007 International journal of automotive technology Vol.8 No.6

        Hybrid electric vehicles (HEV) combined with more than one power sources have great potential to improve fuel economy and reduce pollutant emissions. The Integrated Starter Generator (ISG) HEV researched in this paper is a two energy sources vehicle, with a conventional internal combustion engine (ICE) and an energy storage system (batteries). In order to investigate the potential of diesel engine hybrid electric vehicles in fuel economy improvement and emissions reduction, a Dynamic Programming (DP) based supervisory controller is developed to allocate the power requirement between ICE and batteries with the objective of minimizing a weighted cost function over given drive cycles. A fuel-economy-only case and a fuel & emissions case can be achieved by changing specific weighting factors. The simulation results of the fuel-economy-only case show that there is a 45.1% fuel saving potential for this ISG HEV compared to a conventional transit bus. The test results present a 39.6% improvement in fuel economy which validates the simulation results. Compared to the fuel-economy-only case, the fuel & emissions case further reduces the pollutant emissions at a cost of 3.2% and 4.5% of fuel consumption with respect to the simulation and test result respectively.

      • SCIESCOPUSKCI등재

        EXPLORING THE FUEL ECONOMY POTENTIAL OF ISG HYBRID ELECTRIC VEHICLES THROUGH DYNAMIC PROGRAMMING

        Ao, G.Q.,Qiang, J.X.,Zhong, H.,Yang, L.,Zhuo, B. The Korean Society of Automotive Engineers 2007 International journal of automotive technology Vol.8 No.6

        Hybrid electric vehicles(HEV) combined with more than one power sources have great potential to improve fuel economy and reduce pollutant emissions. The Integrated Starter Generator(ISG) HEV researched in this paper is a two energy sources vehicle, with a conventional internal combustion engine(ICE) and an energy storage system(batteries). In order to investigate the potential of diesel engine hybrid electric vehicles in fuel economy improvement and emissions reduction, a Dynamic Programming(DP) based supervisory controller is developed to allocate the power requirement between ICE and batteries with the objective of minimizing a weighted cost function over given drive cycles. A fuel-economy-only case and a fuel & emissions case can be achieved by changing specific weighting factors. The simulation results of the fuel-economy-only case show that there is a 45.1% fuel saving potential for this ISG HEV compared to a conventional transit bus. The test results present a 39.6% improvement in fuel economy which validates the simulation results. Compared to the fuel-economy-only case, the fuel & emissions case further reduces the pollutant emissions at a cost of 3.2% and 4.5% of fuel consumption with respect to the simulation and test result respectively.

      • KCI등재

        Performance prediction of transonic axial compressor based on streamline curvature method

        J. F. Hu,X. CH. Zhu,H. OuYang,X. Q. Qiang,ZH. H. Du 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.12

        The streamline curvature (SLC) method is still of great importance for modern compressor performance prediction. The models applied in it, such as minimum incidence, deviation and loss, affect prediction's accuracy directly. An improved SLC approach is introduced in this paper, which is developed based on the analysis and summary of predecessor's works. The improvement is embodied mainly in the incidence and loss, which is the result of a combination of the previous models and models’ revisions in order to consider the main effects for modern compressor cascade. A certain isolated stage axial transonic compressor is calculated by SLC method. The speed lines and span-wise aerodynamic parameters are compared with the experiment data to demonstrate the SLC approach presented in this paper.

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