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Intelligent Computing for Extended Kalman Filtering SOC Algorithm of Lithium-Ion Battery

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Abstract

The accurate estimation of battery state of charge (SOC) is an important function of the battery management system, and the precise state of battery is estimated makes for the stability of the system. Based on the working characteristics of lithium-ion batteries, the article which used intelligent computing method establishes the mathematical model of the lithium-ion power battery by using the Thevenin model to accurately estimate the battery SOC. Besides, this paper adopts extended Kalman filtering algorithm based on an ampere-hour integral method and the open circuit voltage method for the estimation of battery SOC. Finally in simulation and hardware, the algorithm is verified. The simulation results show that the intelligent computing model can well reflect dynamic and static characteristics of the battery and the extended Kalman filtering algorithm has better estimation accuracy and can meet the system requirements. Similar to the simulation, hardware experiments also show that the algorithm has the high precision and a good anti-jamming ability.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China subsidization project (51579047), the Natural Science Foundation of Heilongjiang Province (QC2017048), the National Defense Technology Fundamental Research Funds (JSHS2015604C002), the Natural Science Foundation of Harbin (2016RAQXJ077), and the Open Project Program of State Key Laboratory of Millimeter Waves (K201707).

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Authors and Affiliations

  1. College of Automation, Harbin Engineering University, Harbin, 150001, China

    Lanyong Zhang, Lei Zhang & Sheng Liu

  2. Department of Electrical and Electronic Engineering, Imperial College, London, SW7 2AZ, UK

    Lanyong Zhang & Christos Papavassiliou

  3. State Key Laboratory of Millimeter Waves, Nanjing, 210096, China

    Lanyong Zhang

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  1. Lanyong Zhang
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  2. Lei Zhang
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  3. Christos Papavassiliou
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  4. Sheng Liu
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Correspondence to Lanyong Zhang.

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Zhang, L., Zhang, L., Papavassiliou, C. et al. Intelligent Computing for Extended Kalman Filtering SOC Algorithm of Lithium-Ion Battery. Wireless Pers Commun 102, 2063–2076 (2018). https://doi.org/10.1007/s11277-018-5257-9

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  • DOI: https://doi.org/10.1007/s11277-018-5257-9

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