SOC Estimation of Vanadium Redox Flow Battery Based on Improved PNGV Model

Journal Title: 河南科技大学学报(自然科学版) - Year 2018, Vol 39, Issue 4

Abstract

In view of the problem that the branch current generated by the circulation pump had an impact on the estimation of state of charge ( SOC) during charging and discharging of vanadium redox flow battery ( VRB) , the estimation method of SOC for VRB based on unscented Kalman filtering ( UKF) was proposed. By establishing the improved equivalent circuit model of the partnership for a new generation of vehicles ( PNGV) , the VRB simulation model was established considering the influence of cell stack polarization, branch current shunting and temperature on battery internal resistance. The UKF algorithm and the extend Kalman filtering ( EKF) algorithm were used to estimate the battery SOC separately and compared with the experimental measurements. The simulation results show that the UKF algorithm is closer to the experimental measurement than the EKF algorithm, and the estimation error does not exceed ± 0. 02.

Authors and Affiliations

Chengcai SUN, Chengshuang LUO, Yanguo HUANG

Keywords

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  • EP ID EP468230
  • DOI -
  • Views 91
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How To Cite

Chengcai SUN, Chengshuang LUO, Yanguo HUANG (2018). SOC Estimation of Vanadium Redox Flow Battery Based on Improved PNGV Model. 河南科技大学学报(自然科学版), 39(4), -. https://europub.co.uk/articles/-A-468230