A detailed review on the parameters to be considered for an accurate estimation on the Plug-in Electric Vehicle's final State of Charge

C. El‐Bayeh, I. Mougharbel, M. Saad, A. Chandra, S. Lefebvre, D. Asber, L. Lenoir
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引用次数: 8

Abstract

Based on existing studies to estimate Batteries State of Charge (SOC), many published papers have suggested numeric models to express the relationship between the SOC of a battery in Plug-in Electric Vehicle (PEV) and the vehicle travelled distance. Knowing the battery SOC and based on these relations, other studies concentrated on the prediction of the distance range travelled by a PEV. Reversible linear approaches study the prediction of the SOC knowing the travelled distance or vise-versa. Other more realistic non-linear and not reversible models are published involving more parameters like losses in the battery or not homogeneous trajectories. Based on a wide review of the parameters considered in these models, this paper present a more realistic and accurate one for the SOC prediction. A comparative study with existing models could be easily deduced from this paper in order to show how much the accuracy is improved by considering more parameters.
详细回顾了准确估计插电式电动汽车最终充电状态所需考虑的参数
基于现有的电池荷电状态(SOC)估算研究,许多已发表的论文提出了用于表示插电式电动汽车(PEV)电池荷电状态与车辆行驶距离之间关系的数值模型。了解电池SOC并基于这些关系,其他研究集中在预测PEV行驶的距离范围上。可逆线性方法研究已知行驶距离的SOC预测,反之亦然。其他更现实的非线性和非可逆模型也被发表,涉及更多参数,如电池损耗或非均匀轨迹。在对这些模型中所考虑的参数进行综述的基础上,本文提出了一种更真实、更准确的SOC预测模型。通过与现有模型的比较研究,可以很容易地推导出考虑更多参数后的精度提高程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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