The Internal Resistance Characteristics of Lithium-Ion Battery Based on HPPC Method

Article Preview

Abstract:

The real time power prediction of power battery pack used in electric vehicles is a difficulty of the battery management system. The internal resistance characteristic of the battery can be used to achieve the prediction of battery power based on the close relationship between the value of real time power and internal resistance. In this paper, the internal resistance characteristic of the power type lithium-ion battery are tested with HPPC(hybrid pulse power characterization) method, the relationship curves between the capacity or internal resistance of the battery and temperature are given, the temperature properties of the capacity and the ohmic resistance of the battery are obtained, and the basis of online resistance identification and peak power computation for the battery pack is provided.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 455-456)

Pages:

246-251

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Lu Shigang and Liu Sha. The main direction of electric vehicle battery development,. Advanced Materials Industry, 2005(4): 49-54.

Google Scholar

[2] Yang Jun, Xie Jingying and Wang Jiulin. Testing theory and technology of chemical power. BeiJing: China Electric Power Press. (2006).

Google Scholar

[3] Zhou Zhimin, Zhou Jihai and Ji Aihua. VRLA batteries practical technology. BeiJing: China Electric Power Press. (2004).

Google Scholar

[4] Zhao Shuhong, Wu Feng, Wang Zidong and Gao Fei. Study on power battery internal resistance measurement methods,. MINING & METALLURGY. 2010. 19(1): 57-61.

Google Scholar

[5] Idaho National Engineering & Environmental Laboratory. PNGV Battery Test Manual. 2001. 2: 4-7.

Google Scholar

[6] Idaho National Engineering & Environmental Laboratory. 2003 Freedom CAR Power Assist Battery Test Manua. 2003: 18-130.

Google Scholar

[7] Wen Feng. Study on basic issues of the Li-ion battery pack management technology for Pure Electric Vehicles,. Beijing Jiaotong University. (2010).

Google Scholar