Simulation Research on Electric Dominant Strategy of Plug-in Hybrid Electric Vehicle

Qing Sheng Shi; Hui Yi Xu

doi:10.4028/www.scientific.net/AMR.181-182.320

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 181-182Simulation Research on Electric Dominant Strategy...

Simulation Research on Electric Dominant Strategy of Plug-in Hybrid Electric Vehicle

Abstract:

As a promising technology that uses electricity to displace petroleum consumption in the vehicle fleet, plug-in hybrid electric vehicle’s performance is due to its control strategy. Traditional hybrid electric vehicle methods, such as charge balance strategy, could not fit it so much. An electric dominant strategy (EDS) is presented for plug-in hybrid electric vehicle. Two parameters, including battery SOC and vehicle velocity are chosen as threshold to coordinate the operation of fuel converter (engine) and energy storage system (batteries). Finally, compared to Charge Balance Strategy (CBS), simulation experiments are carried on electric vehicle platform ADVISOR software. Simulation results show the validity of EDS.

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Advanced Materials Science and Technology, ICMST 2010

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Periodical:

Advanced Materials Research (Volumes 181-182)

Pages:

320-324

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.181-182.320

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Online since:

January 2011

Authors:

Qing Sheng Shi, Hui Yi Xu

Keywords:

ADVISOR, Electric Dominant Strategy, Energy Efficiency, Fuel Consumption, Plug-in Hybrid Electric Vehicle

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References

[1] Chen Qingquan, Sun Fengchun, Zhu Jiaguang. Modern electric vehicle technology [M]. Beijing: beijing institute of technology press, (2002).

Google Scholar

[2] Xiang Zhang, Jia Wang and Jianzhong Yang, etc. Prospects of New Energy Vehicles for China Market, Hybrid and Eco-Friendly Vehicle Conference, 2008, Page(s): 1 – 11.

DOI: 10.1049/cp:20081055

Google Scholar

[3] Fritz R. Kalhammer, Haresh Kamath, and Mark Duvall, et al. Plug-In Hybrid Electric Vehicles: Promise, Issues and Prospects, EVS24 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium, 1-11, Stavanger, Norway, May 13-16, (2009).

Google Scholar

[4] Qiuming Gong, Yaoyu Li and Zhongren Peng. Optimal power management of plug-in HEV with intelligent transportation system, 2007 IEEE/ASME international conference on Advanced Intelligent mechatronics, 4-7 Sept, (2007).

DOI: 10.1109/aim.2007.4412579

Google Scholar

[5] Jeffrey Gonder and Tony Markel. Energy Management Strategies for Plug-in Hybrid electric Vehicles, In SAE. World Congress, 2007, pages 1–5, Detroit MI, 2007, 09.

DOI: 10.4271/2007-01-0290

Google Scholar

[6] T. D. Chan and K. T. Chau, Modern Electric Vehicle Technology, Oxford University Press, SBN 019-850416-0, (2001).

Google Scholar

[7] Cuddy, M., Burch, S. and Markel, T. etc. ADVISOR2002 - Advanced Vehicle Simulator. NREL Document. April, (2002).

Google Scholar