Dynamic Measurement and Estimation of Power Battery Residual Capacity

Wei Qiong Ye; Bei Li

doi:10.4028/www.scientific.net/AMR.724-725.829

Paper Titles

Microwave Synthesis of MnO₂/C and its Applications in Zinc-Air Battery
p.808

Preparation and Study of Zinc-Air Batteries with Carbon-Supported Amorphous MnO₂ Catalyst
p.813

The Study on Technology of Ocean Wave Energy Generation
p.818

Close-Packed Al₂O₃ Nanoparticles/Waterborne Polyurethane Layer-Coated Polyethylene Separators for Lithium-Ion Batteries
p.823

Dynamic Measurement and Estimation of Power Battery Residual Capacity
p.829

Hard Carbon Prepared from Willow Leaves Using as Anode Materials for Li-Ion Batteries
p.834

Preparation of Li₂FeSiO₄/C Composite Cathode Materials for Lithium Ion Batteries by Carbothermal Reduction Method
p.838

Dual Carbon Coating Used in the Preparation of LiFePO₄/C Cathode Material
p.844

Renewable Generation and its Integration in the Power System of Green Island
p.848

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 724-725Dynamic Measurement and Estimation of Power...

Dynamic Measurement and Estimation of Power Battery Residual Capacity

Abstract:

This paper takes battery cell as research object, presents a new method to estimate the state-of-charge(SOC) of battery, which solves the problem of real-time estimation of power batteries for electric vehicles in the working condition. By a constant current load, periodically measured working voltage of the battery, the remaining time can be calculated using phase-slope based on voltage in the moment, which calculates the battery SOC. The thesis proves the feasibility of that the dynamic work point can be convert to static working point, the relative error of the method is less than 7%. Through software can implement compensation of temperature and aging. The error analysis results show that the method error is small, measurement precision is high.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 724-725)

Pages:

829-833

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.724-725.829

Citation:

Cite this paper

Online since:

August 2013

Authors:

Wei Qiong Ye, Bei Li

Keywords:

Dynamic Measurement, Power Battery, SoC, Working Voltage

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Hu CunJin, Sun Qun, Chang Hui. A New Algorithm for Monitoring the Power Battery Set State[A]. Beijing:Chinese Control Conference, 2008.

Google Scholar

[2] Piller Sabine, Perrin Marion, Jossen Andreas. Methods for state-of-Charge Determination and their Applications[J].PowerSources, 2001, 96(1):113-120.

DOI: 10.1016/s0378-7753(01)00560-2

Google Scholar

[3] Ma ShiYou, Chen QuanShi. The definition and detection method of battery electric vehicle[J]. Journal of Tsinghua University,2001,41(11):95-98.

Google Scholar

[4] Coleman Martin, Lee Chi Kwan, Zhu Chun, BoHurley William Gerard. State-of-Charge Determination From EMF Voltage Estimation: Using Impedance, Terminal Voltage, and Current for Lead-Acid and Lithium-Ion Batteries[J].Industrial Electronics,2007,54(5):998-1006.

DOI: 10.1109/tie.2007.899926

Google Scholar

[5] F Huet,R P Nogueira,P Lailler, L Torcheux. Investigation of the high-frequency resistance of a lead-acid battery[J].Power Sources, 2006,158(2):1012-1018.

DOI: 10.1016/j.jpowsour.2005.11.026

Google Scholar

[6] Thomas R Kronhamn. Geometric illustration of the kalman filter gain and covariance update algorithms [J].Control System,2008,8(6):56-59.

DOI: 10.1109/mcs.1985.1104937

Google Scholar

[7] Pillip E Pascoe,Adnan H Anbuky.VRLA Battery Discharge Reserve Time Estimation [J].Power Electronic. IEEE Transaction,2009,19(11):1515-1522.

DOI: 10.1109/tpel.2004.836680

Google Scholar