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A capacity-based equalization method for aged lithium-ion batteries in electric vehicles

机译：电动汽车锂离子电池的基于容量的均衡方法

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摘要

A capacity-based equalization method for active balancing is proposed to increase the usable capacity of aged lithium-ion batteries within a minimum of balancing effort. The main goal of the presented algorithm is to predict the equalization charge for each cell, which is needed to fully charge and discharge every cell of the battery in the next cycle. For this, State-Of-Charge (SOC) and State-Of-Health (SOH) of each cell must be determined. The predicted energy is balanced at the beginning of the cycle and further balancing is performed only if the parameters of the cells change. This ensures that the minimum possible balancing effort is achieved. To validate the performance of the proposed method, a simulation is carried out. For this purpose, a battery model and Battery Management System (BMS) model are built in Matlab/Simulink. The parameters of the simulated cells differ in capacity and initial SOC to imitate an aged battery. The simulation results verify that the developed balancing method can improve the usage of aged batteries compared to conventional methods. This algorithm for active balancing can be used in second life cases of battery systems.
机译：提出了一种用于主动平衡的基于容量的均衡方法，以提高老化锂离子电池的可用容量在最小的平衡努力中。所提出的算法的主要目的是预测每个单元的均衡电荷，这需要完全充​​电和放电在下一个循环中的每个单元。为此，必须确定每个单元的充电状态（SoC）和每个单元的健康状态（SOH）。预测的能量在循环开始时平衡，并且仅当单元的参数改变时才执行进一步的平衡。这确保了实现最低的可能性均衡努力。为了验证所提出的方法的性能，执行模拟。为此目的，在MATLAB / SIMULINK中构建了电池模型和电池管理系统（BMS）模型。模拟电池的参数在容量和初始SoC的容量中不同，以模拟老化电池。仿真结果验证了与传统方法相比，开发的平衡方法可以改善老年电池的使用情况。该算法可用于电池系统的第二寿命情况。

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  • 来源
    《Electric power systems research》 |2021年第2期|106898.1-106898.7|共7页
  • 作者

    Hein Thiemo; Ziegler Andreas; Oeser David; Ackva Ansgar;

  • 作者单位

    Univ Appl Sci Wuerzburg Schweinfurt Germany Technol Transfer Ctr Mobil Poststr 31 D-97616 Bad Neustadt an der Saale Germany;

    Univ Appl Sci Wuerzburg Schweinfurt Germany Technol Transfer Ctr Mobil Poststr 31 D-97616 Bad Neustadt an der Saale Germany;

    Univ Appl Sci Wuerzburg Schweinfurt Germany Technol Transfer Ctr Mobil Poststr 31 D-97616 Bad Neustadt an der Saale Germany;

    Univ Appl Sci Wuerzburg Schweinfurt Germany Technol Transfer Ctr Mobil Poststr 31 D-97616 Bad Neustadt an der Saale Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lithium-ion; Aged batteries; Active balancing; Capacity; Equalization; Algorithm;

    机译：锂离子;老年电池;活跃平衡;容量;均衡;算法;

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