SOC Estimation of Traction–Battery for Electric Vehicle Using Rebound Voltage

Bei Li; Lun Qiong Chen; Di Zhang

doi:10.4028/www.scientific.net/AMR.655-657.68

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657SOC Estimation of Traction–Battery for Electric...

SOC Estimation of Traction–Battery for Electric Vehicle Using Rebound Voltage

Abstract:

The thesis studied the monomer power battery, in order to overcome the difficulty in state of charge(SOC) online testing, the thesis put forward a new method to do SOC online estimation. By studying the rebound voltage caused by lead-acid battery when it is offline, with the consideration on elements as discharge rate, depth of discharge, temperature environment and so on, the thesis build a function relation between the rebound voltage and the SOC; with the adoption of 89S51 micro-controller in real-time measurement and calculation, we successfully estimated the SOC of intelligent traction–battery online.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

68-73

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.68

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Online since:

January 2013

Authors:

Bei Li, Lun Qiong Chen, Di Zhang

Keywords:

Depth of Discharge, Lead-Acid Battery, Rate of Discharge, Rebound Voltage, State of Charge (SOC)

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