Developing a General Methodology and Construct a Driving Cycle with an Economic Performance Evaluation for Basrah City

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    In this paper, a statistical method is employed to develop a driving cycle for Basrah city and to find out the factor score and the Euclidean distance analysis by the Statistical Package for the Social Sciences (SPSS). A simple electronic system is built to construct the driving cycle, the system considered a microcontroller and a GPS sensor connected to a PC through a simple C++ code. The development of the proposed driving cycle represents the first model driving cycle in the city of Basra. The advisor software package is used to investigate the economic performance of the internal combustion engine based on HC, CO, and NOx exhaust emissions. It was found that the obtained driving cycle is significantly different than the other driving cycles in terms of exhaust emissions and fuel consumption and within the expected range of emissions. The developed driving cycle model obtained is a representative delicate estimation of the exhaust emissions and fuel consumption, and will be utilized for future work to obtain a good performance of the hybrid electric vehicles.

     

     



  • Keywords


    Driving Cycle, Fuel economy, Exhaust emission, Statistical method, Advisor software package.

  • References


      [1] K. Brundell-Freij and E. Ericsson, “Influence of street characteristics, driver category and car performance on urban driving patterns,” Transp. Res. Part D Transp. Environ., vol. 10, no. 3, pp. 213–229, 2005.

      [2] U. Galgamuwa, L. Perera, and S. Bandara, “Developing a General Methodology for Driving Cycle Construction: Comparison of Various Established Driving Cycles in the World to Propose a General Approach,” J. Transp. Technol., vol. 05, no. 04, pp. 191–203, 2015.

      [3] H. Y. Tong and W. T. Hung, “A framework for developing driving cycles with on-road driving data,” Transp. Rev., vol. 30, no. 5, pp. 589–615, 2010.

      [4] A. Fotouhi and M. Montazeri-Gh, “Tehran driving cycle development using the k-means clustering method,” Sci. Iran., vol. 20, no. 2, pp. 286–293, 2013.

      [5] E. Abdelhafez, B. W. Surgenor, M. Hamdan, and M. Salah, “development of a driving cycle for amman city with performance evaluation for ice vehicle,” Proc. ASME 2014 12th Bienn. Conf. Eng. Syst. Des. Anal., pp. 1–5.

      [6] F. Zhang, F. Guo, and H. Huang, “A Study of Driving Cycle for Electric Special-purpose Vehicle in Beijing,” Energy Procedia, vol. 105, pp. 4884–4889, 2017.

      [7] W. Zhou, K. Xu, Y. Yang, and J. Lu, “Driving Cycle Development for Electric Vehicle Application using Principal Component Analysis and K-means Cluster: With the Case of Shenyang, China,” Energy Procedia, vol. 105, pp. 2831–2836, 2017.

      [8] H. He, J. Cao, and J. Peng, “Online Prediction with Variable Horizon for Vehicle’s Future Driving-Cycle,” Energy Procedia, vol. 105, pp. 2348–2353, 2017.

      [9] G. H. Tzeng and J. J. Chen, “Developing a Taipei motorcycle driving cycle for emissions and fuel economy,” Transp. Res. Part D Transp. Environ., vol. 3, no. 1, pp. 19–27, 1998.


 

View

Download

Article ID: 28074
 
DOI: 10.14419/ijet.v7i4.19.28074




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.