Research on Power Battery Ratio in Battery Exchanging Mode for Electric Vehicles Based on Monte Carlo Simulation

Abstract:

This work presents a simulation model for electric vehicles (EVs) power battery ratio configuration in battery exchanging mode and the calculation results of the minimal battery ratios under different battery state of charge (SOC) lower limits. Applying the normal copula function, the composite probability distribution function of daily mileage, daily charging time length and travelling time length in the battery charging mode is obtained. Based on this, the daily mileage probability distribution in battery exchanging mode is derived. A Monte Carlo Simulation (MCS) model with SOC constraints is established to calculate the minimal battery ratio. The EVs battery packs exchange when SOC reaches the lower limit. The travelling data of one certain demonstration running EVs are adopted as an example to test the calculation mode, and the rationality of the mode is verified.

• Periodical: Applied Mechanics and Materials (Volumes 448-453)
• Pages: 3129-3134
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.448-453.3129
• Online since: October 2013
• Authors: Bao Qun Zhang*, Bing Yang, Li Fang Wang, Rui Shi, Ran Jiao
• Keywords: Battery Ratio, Electric Vehicle (EV), Monte Carlo Simulation, Power Battery

References

[1] Wu Qitang. Progresses in Ten Cities & Thousand Units, plan[J]. New Energy Vehicles, 2009, 1(24): 15-19.

[2] Hu Zechun, Song Yonghua, Xun Zhiwei, et al. Impacts and utilization of electric vehicles integration into power systems [J] . Proceedings of the CSEE, 2012, 4(32): 1-11.

[3] Robert C. Green, WANG Lingfeng, Mansoor Alam. The impact of plug-in hybrid electric vehicles on distribution networks: a review and outlook [J]. Renewable and sustainable energy reviews. 2011, 1（15）：544-553.

DOI: 10.1016/j.rser.2010.08.015

[4] Gao Ciwei, Zhang Liang. A survey of influence of electric vehicle charging on power grid [J]. Power System Technology, 2011, 35(2): 127-131.

[5] Luo Zhuowei, Hu Zechun, Song Yonghua, et al. Study on plug-in electric vehicles charging load calculating [J]. Automation of Electric Power Systems, 2011, 35(14): 36-42.

DOI: 10.1109/pesgm.2012.6345045

[6] Tian Liting, Shi Shuanglong, Jia Zhuo. A statistical model for charging power demand of electric vehicles[J]. Power System Technology, 2010. 11(34): 126-130.

[7] Lojowska, A., Kurowicka, D., Papaefthymiou, G., et al. From transportation patterns to power demand: Stochastic modeling of uncontrolled domestic charging of electric vehicles[C]/ Power and Energy Society General Meeting, 2011 IEEE, vol. 1, pp.1-7, 24-29 July (2011).

DOI: 10.1109/pes.2011.6039187

[8] Clement K, Haesen E, Driesen J. The impact of charging plug-in hybrid electric vehicles on a residential distribution grid [J]. IEEE Transactions on Power Systems, 2010, 25(1): 371-380.

DOI: 10.1109/tpwrs.2009.2036481

[9] Kejun Qian, Chengke Zhou, Mclcolm Allan, et al. Modeling of load demand due to EV battery charging in distribution system[J]. IEEE transactions on power systems, 2011, 26(2): 802-810.

DOI: 10.1109/tpwrs.2010.2057456

[10] M. Hubner, L. Zhao, T. Mirbach, et al. Impact of large-scale electric vehicle application on the power supply[C]/ IEEE Electrical Power & Energy Conference, 2009, Montreal: 1-6.

DOI: 10.1109/epec.2009.5420866

[11] Luo Zhuowei, Hu Zechun, Song Yonghua, et al. Study on Charging Load Modeling and Coordinated Charging of Electric Vehicles Under Battery Swapping Modes [J]. Proceedings of the CSEE, 2012, 32(31): 1-10.

DOI: 10.1109/pesgm.2012.6345045