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

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

摘要

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