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Design methodology of component design environment for PHEV

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Abstract

In this study, the design methodology for PHEV component design environment is proposed, which consists of power evaluation, component evaluation, component analysis and vehicle performance evaluation environments. First, PHEV simulators were developed based on the dynamic model of the target PHEV powertrain, and a PHEV control algorithm was designed based on the general power-split type PHEV using MATLAB/Simulink. Experimental results were used to validate the constructed PHEV simulators. The power evaluation environment provides the magnitude and direction of the power between components at the vehicle level at any selected time that the user wants to evaluate. The component evaluation environment is designed to evaluate the parameter behaviors of a component using the effort-flow causality relationship. The component analysis environment is designed to investigate component performance according to the variations of component parameters. The vehicle evaluation environment is designed to evaluate equivalent fuel economy at any selected time. It is expected that the design methodology of the PHEV component design environment proposed in this study can be extended to other x-EVs for evaluating and designing vehicle components.

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References

  • Abdul Rahman, S., Zhang, N. and Zhu, J. (2008). Modeling and simulation of an energy management system for plug-in hybrid electric vehicles. Australasian Universities Power Engineering Conf. (AUPEC’08).

    Google Scholar 

  • Argonne National Laboratory (2012). Modeling, Simulation & Software-PSAT. http://www.transportation.anl.gov/modeling_simulation/PSAT/

    Google Scholar 

  • AVL (2012). AVL Cruise. https://www.avl.com/cruise1/

    Google Scholar 

  • Falieres, Q., Grasset, O., Roblet, K., Xu, Y., Noiret, C., Serrao, L. and Sciarretta, A. (2011). A contradictory analysis of GM voltec powertrain. EEVC, Bruusels, Belgium.

    Google Scholar 

  • Gopal, R. and Rousseau, A. (2011). System analysis using multiple expert tools. SAE Paper No. 2011-01-0754.

    Book  Google Scholar 

  • Halbach, S., Sharer, P., Pagerit, S., Rousseau, A. and Folkerts, C. (2010). Model architecture, methods, and interfaces for efficient math-based design and simulation of automotive control systems. SAE Paper No. 2010-01-0241.

    Book  Google Scholar 

  • Johnson, V., Wipke, K. and Rausen, D. (2000). HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emissions. SAE.

    Google Scholar 

  • Karbowski, D., Pagerit, S., Kwon, J., Rousseau, A. and Pechmann, K. (2009). Argonne National Laboratroy, Fair comparison of powertrain configurations for plug-in hybrid operation using global optimization. SAE Paper No. 2009-01-1334.

    Book  Google Scholar 

  • Karnopp, D., Margolis, D. and Rosenberg, R. (2005). Modeling and Simulation of Mechatronic Systems. John Wiley & Sons. Hoboken. New Jersey.

    Google Scholar 

  • LMS (2012). LMS Imagine, Lab AMESim. http://www.lmsintl.com/LMS-Imagine-Lab-AMESim

    Google Scholar 

  • Ma, C. (2010). Development of Hybrid Electric Vehicle Simulator for Sub-module Design. M.S. Thesis. Sungkyunkwan University. Korea.

    Google Scholar 

  • Ma, C., Kang, J., Choi, W., Song, M., Ji, J. and Kim, H. (2012). Comparative study on power characteristics and control strategies for plug-in hybrid electric vehicle. Int. J. Automotive Technology 12,3, 505–516.

    Article  Google Scholar 

  • Mapelli, F., Mauri, M. and Tarsitano, D. (2009). Energy control strategies comparison for a city car plug-in HEV. IECON 35th Annual Conf. IEEE, 3729–3734.

    Google Scholar 

  • Mathworks (2012). Mechanical Systems Simulation-SimDriveline. http://www.mathworks.co.kr/products/simdrive/

    Google Scholar 

  • Miller, M., Holmes, A., Conlon, B. and Savagian, P. (2011). General Motors Company, The GM ‘Voltec’ 4ET50 multi-mode electric transaxle. SAE Paper No. 2011-01-0887.

    Book  Google Scholar 

  • Rosenberg, R. R. and Karnopp, D. C. (1983). Introduction to Physical System Dynamics. McGraw-Hill. New York.

    Google Scholar 

  • Shidore, N., Bohn, T., Lohse-Busch, H. and Sharer, P. (2007). PHEV ‘All electric range’ and fuel economy in charge sustaining mode for low SOC operation of the JCS VL41M Li-ion battery using battery HIL. Proc. Electric Vehicle Symp., 23, Anaheim, CA.

    Google Scholar 

  • Situ, L. (2009). Electric vehicle development: The past, present & future. 3rd Int. Conf. Power Electronics Systems and Applications, K210509135.

    Google Scholar 

  • Song, M., Ko, S., Kim, J., Lee, J., Kim, Y., Kim, J. and Kim, H. (2010). Control algorithm of the electric oil pump for the automatic-transmission-based hybrid electric vehicle. EVS-25.

    Google Scholar 

  • Srinivasan, P. and Kothalikar, U. M. (2009). Performance fuel economy and CO2 prediction of a vehicle using AVL Cruise simulation techniques. SAE Paper No. 2009-01-1862.

    Book  Google Scholar 

  • Sun, L., Liang, R. and Wang, Q. (2008). The control strategy and system preferences of plug-in HEV. IEEE Vehicle Power and Power and Propulsion Conf. (VPPC).

    Google Scholar 

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Correspondence to H. S. Kim.

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Ma, C., Ko, S.Y., Jeong, K.Y. et al. Design methodology of component design environment for PHEV. Int.J Automot. Technol. 14, 785–795 (2013). https://doi.org/10.1007/s12239-013-0087-y

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  • DOI: https://doi.org/10.1007/s12239-013-0087-y

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