首页> 外文期刊>Journal of energy and power engineering >Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle
【24h】

Model-Based Fault Detection of a Battery System in a Hybrid Electric Vehicle

机译:基于模型的混合动力电动汽车电池系统故障检测

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Recently, a new type of IMM (interacting multiple model) method was introduced based on the relatively new SVSF (smooth variable structure filter), and is referred to as the IMM-SVSF. The SVSF is a type of sliding mode estimator that is formulated in a predictor-corrector fashion. This strategy keeps the estimated state bounded within a region of the true state trajectory, thus creating a stable and robust estimation process. The IMM method may be utilized for fault detection and diagnosis, and is classified as a model-based method. In this paper, for the purposes of fault detection, the IMM-SVSF is applied through simulation on a simple battery system which is modeled from a hybrid electric vehicle.
机译:最近,基于相对较新的SVSF(平滑可变结构滤波器)推出了一种新型的IMM(交互多模型)方法,称为IMM-SVSF。 SVSF是一种以预测器-校正器方式制定的滑模估计器。该策略将估计状态保持在真实状态轨迹的区域内,从而创建了稳定而强大的估计过程。 IMM方法可以用于故障检测和诊断,并且被分类为基于模型的方法。在本文中,出于故障检测的目的,IMM-SVSF通过模拟应用到以混合动力汽车为模型的简单电池系统上。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号