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Performance Evaluation Model of Substation Battery Pack Based on New Series Parallel Topology

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e-Learning, e-Education, and Online Training (eLEOT 2022)

Abstract

Because the traditional substation battery performance evaluation model has some problems, such as the fuzzy structural characteristics of the substation battery, resulting in excessive corrosion rate, this paper designs a new substation battery performance evaluation model based on the new series parallel topology. Obtain the performance parameters of the battery pack, predict the operation performance and failure of the battery, calculate the relationship function between open circuit voltage and electrolyte density, identify the structural characteristics of the battery pack in the substation, optimize the voltage regulation strategy of the high-frequency scheme, charge according to the specified constant current, calculate the amount of electricity released by the battery in the discharge process, and build a performance evaluation model with a new series parallel topology. The experimental results show that, compared with the other two traditional evaluation models, the corrosion rate of the substation battery performance evaluation model proposed in this paper is the lowest, with an average value of 3.269, which shows that the substation battery performance evaluation model described in this paper has better performance and certain effectiveness.

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Correspondence to Jianfeng Yao .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yao, J., Zhou, P., Huang, L., Liu, G. (2022). Performance Evaluation Model of Substation Battery Pack Based on New Series Parallel Topology. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 454. Springer, Cham. https://doi.org/10.1007/978-3-031-21164-5_36

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  • DOI: https://doi.org/10.1007/978-3-031-21164-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21163-8

  • Online ISBN: 978-3-031-21164-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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