Calculation and Characteristics Analysis of Lithium Ion Batteries’ Internal Resistance Using HPPC Test

Hua Zhang; Hai Wei Mu; Yong Zhang; Jian Han

doi:10.4028/www.scientific.net/AMR.926-930.915

Paper Titles

Analyses of the Relations Between Driving Types and Regenerative Braking in Electric Vehicles
p.896

Design of New Energy-Saving Pumping Unit Suitable for Remote Areas and Heavy Oil Recovery
p.901

Effects of Exhaust Gas Recirculation on Combustion and Emission of a Marine Diesel Engine
p.905

Analysis of Ship Renewable Alternative Energy Sources
p.911

Calculation and Characteristics Analysis of Lithium Ion Batteries’ Internal Resistance Using HPPC Test
p.915

Characteristics of Wind Power Fluctuations
p.919

Development and Utilization of Panzhihua Solar Energy Resources — Taking a Small Solar Energy Theme Park as an Example
p.923

Electric Vehicle Battery SOC Estimation Based on EKF
p.927

Manganese Oxide Anodized from Manganese Films Electrodeposited at Different Cathodic Currents and its Capacitive Performance
p.932

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Calculation and Characteristics Analysis of...

Calculation and Characteristics Analysis of Lithium Ion Batteries’ Internal Resistance Using HPPC Test

Abstract:

Internal resistance of battery can really reflect its own characteristics, which including health status of the battery, inconsistency, state of charge, thermal runaway. Method to calculate the internal resistance of the battery using HPPC (Hybrid Pulse Power Characterization) test which proposed by the FreedomCAR is introduced. Ohmic resistance, polarization resistance, discharge resistance and regen resistance are calculated based on MATLAB programming using HPPC test. The differences between the four kinds of internal resistance of lithium ion batteries are compared. Characteristics of the four kinds of internal resistance in charged-state and discharged-state are analyzed.

You might also be interested in these eBooks

Progress in Applied Sciences, Engineering and Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

915-918

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.915

Citation:

Cite this paper

Online since:

May 2014

Authors:

Hua Zhang*, Hai Wei Mu, Yong Zhang, Jian Han

Keywords:

Characteristic Analysis, HPPC, Internal Resistance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Singh Pritpal, Reisner David, Fuzzy Logic-based State-of-Health Determination of Lead Acid Batteries, 24th International Telecommunications Energy Conference, 2002, pp.583-590.

DOI: 10.1109/intlec.2002.1048716

Google Scholar

[2] Singh Pritpal, Vinjamuri Ramana, Wang Xiquan, etc: Journal of Power Sources, Vol. 162 (2006), pp.829-836.

Google Scholar

[3] Rodrigues S, Munich and Raiah N, Shuukla, A K J: Solid State Electrochem, 1999, 3, pp.397-405.

Google Scholar

[4] Uchida I, Ishika WAH, Mohamedi M, etc: Power Sources, Vol. 119 (2003), pp.821-825.

Google Scholar

[5] M. Gao Ming: Research on Battery Management System with Diagnostic Functions (Tsinghua University, China 2009).

Google Scholar