Prediction and Analysis of the Driving Range of Electric Bus

Article Preview

Abstract:

In this paper, a method used to predict the driving range of electric bus based on electrochemical model of lithium ion battery was presented. Using a electric bus powered by lithium ion battery as an example, the driving ranges under three different driving cycles including American UDDS, European EUDC and Japanese 1015 were respectively predicted by the proposed method, and the effects of the temperature of battery pack and the number of battery module on the lowest state of charge SOCL required by the bus to travel a given distance were also analyzed.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

787-792

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] CHEN Quanshi, LIN Chentao. Summarization of Studies on Performance Models of Batteries for Electric Vehicle [J]. Automobile Technology, 2005, 3: 1-5.

Google Scholar

[2] XU Guibao, WANG Zhenpo, ZHANG Chengning. Analysis of the Energy Computation And Influence Factors of Electric Vehicle Range [J]. Acta Armamentarii, 2005, 2: 53-57.

Google Scholar

[3] JI Fenzhu, GAO Feng, WU Zhixin. Influence of the Powertrain and Gross Mass of Electric Vehicles on Driving Ranges [J]. Mechanical Science and Technology, 2006, 25 (7): 840-843.

Google Scholar

[4] LI Junqiu, YAO Limin, SUN Fengchun, et al. Discharge Characteristic and Range Forecasting of Traction Battery in Electric Drive Tracked Vehicle [J]. Acta Armamentarii, 2006, 27 (2): 193-197.

Google Scholar

[5] LIU Jian, GU Zhongli, DAI Xuwen. Application of Compensatory Fuzzy Neural Net in Electric Vehicle Mileage Automobile technology and material [J]. Automobile Technology & Material, 2002, 6: 36-38.

Google Scholar

[6] Yonghuang Ye, Yixiang Shi, Ningsheng Cai, et al. Electro-thermal Modeling and Experimental Validation for Lithium Ion Battery [J]. Journal of Power Sources, 2012, 199: 227-238.

DOI: 10.1016/j.jpowsour.2011.10.027

Google Scholar

[7] Long Cai, Ralph E.W. Mathematical Modeling of a Lithium Ion Battery with Thermal Effects in COMSOL Inc. Multiphysics (MP) Software [J]. Journal of Power Sources, 2011, 196: 5985-5989.

DOI: 10.1016/j.jpowsour.2011.03.017

Google Scholar

[8] Weifeng Fang, Ou Jung Kwon, Chao-Yang Wang. Electrochemical-thermal Modeling of Automotive Li-ion Batteries and Experimental Validation Using a Three-electrode Cell [J]. International Journal of Energy Research, 2010, 34: 107-115.

DOI: 10.1002/er.1652

Google Scholar

[9] Cong Zhu, Xinghu Li, Lingjun Song. Development of a Theoretically Based Thermal Model for Lithium Ion Battery Pack [J]. Journal of Power Sources, 2013, 223: 155-164.

DOI: 10.1016/j.jpowsour.2012.09.035

Google Scholar

[10] Newman J. S., Tobias C. W. Theoretical Analysis of Current Distribution in Porous Electrodes [J]. Journal of the Electrochemical Society, 1962, 109(12): 1183-1191.

DOI: 10.1149/1.2425269

Google Scholar

[11] John Newman, William Tiedemann. Porous-electrode Theory with Battery Applications [J]. AIChE Journal, 1975, 21(1): 25-41.

DOI: 10.1002/aic.690210103

Google Scholar