Extended state observer assisted Coulomb counting method for battery state of charge estimation,International Journal of Energy Research

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Extended state observer assisted Coulomb counting method for battery state of charge estimation
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2020-11-11 , DOI: 10.1002/er.6011
Zhengling Lei ₁ , Tao Liu ₂ , Xiaoming Sun ₁ , Hui Xie ₃ , Qiang Sun ₄

Affiliation

The state of charge (SOC) estimation method for power batteries in engine waste heat recovery system is studied in this article. The nonmodel‐based Coulomb counting (CC) method is among the most popular techniques. However, challenges imposed by inaccurate estimation of initial SOC, current measurement error as well as uncertain system dynamics caused by temperature, and thermal effects will produce an accumulated error. To overcome this error and improve the CC method's disturbance rejection capability, a linear second‐order extended state observer (ESO) is designed to address this problem. A comparative simulation study is carried out to study the estimation performance of the proposed ESO‐assisted CC method and the conventional CC method. Study results of the proposed approach exhibit better estimation performance and adaptability for inaccurate estimation of initial SOC, current measurement error, and uncertain system dynamics. There is only one parameter ω_o to tune. The adaptability of estimation performance can be maintained without parameters resetting, which proves the effectiveness and disturbance rejection capability of the proposed ESO‐assisted CC method for SOC estimation.

中文翻译：

扩展状态观察器辅助库仑计数法估算电池电量

本文研究了发动机余热回收系统中动力电池的荷电状态估计方法。非基于模型的库仑计数（CC）方法是最受欢迎的技术之一。但是，由于初始SOC估算不正确，电流测量误差以及温度和热效应导致的不确定的系统动态性带来的挑战将产生累积的误差。为了克服此错误并提高CC方法的抗干扰能力，设计了线性二阶扩展状态观测器（ESO）来解决此问题。进行了比较模拟研究，以研究提出的ESO辅助CC方法和常规CC方法的估计性能。该方法的研究结果显示出更好的估计性能和对初始SOC，电流测量误差以及不确定的系统动力学的不准确估计的适应性。只有一个参数ω _Ø调整。无需重新设置参数即可维持估计性能的适应性，这证明了所提出的ESO辅助CC方法用于SOC估计的有效性和抗干扰能力。

更新日期：2020-11-11

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