A Novel Design of SOC Prediction for an Electrical Vehicle Based on the Intelligent Algorithm

Hao Qiu; Zheng Bao Lei; Tom Zi Ming Qi

doi:10.4028/www.scientific.net/AMR.468-471.601

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 468-471A Novel Design of SOC Prediction for an Electrical...

A Novel Design of SOC Prediction for an Electrical Vehicle Based on the Intelligent Algorithm

Abstract:

This paper is to present a novel design to predict the State of charge (SOC) of the batteries for the Electric Vehicles (EV) using a voltage descent model which has been built based on the analysis of adaptive fuzzy neural intelligent algorithm (AFNIA) and the charge/discharge experimental data of Electric Vehicle. In this design, an improved BP neural network has also been proposed to indicate the correlation between open circuit voltage and SOC. An experiment employed a Lateral Moving and In Situ Steering EV built by Shenzhen Polytechnic. The test and simulation results showed that the intelligent methods can accurately predict the SOC of lithium batteries. The combination of fuzzy control and neural network can achieve an effective way of predicting the SOC of batteries.

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Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

601-606

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.468-471.601

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Online since:

February 2012

Authors:

Hao Qiu, Zheng Bao Lei, Tom Zi Ming Qi

Keywords:

BP Network, EV, Fuzzy, Prediction, SoC

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References

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