• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Communications in Nonlinear Science and Numerical Simulation >An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteries
【24h】

An SOC estimation approach based on adaptive sliding mode observer and fractional order equivalent circuit model for lithium-ion batteries

机译：基于自适应滑模观测器和分数阶等效电路模型的锂离子电池SOC估计方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A state of charge (SOC) estimation approach based on an adaptive sliding mode observer (SMO) and a fractional order equivalent circuit model (FOECM) for lithium-ion batteries is proposed in this paper. In order to design the adaptive sliding mode observer (SMO) for the SOC estimation, the state equations based on a FOECM of battery are derived. A new self-adjusting strategy for the observer gains is presented to adjust the observer in the estimating process, which helps to reduce chattering and convergence time. Furthermore, a continuous and smooth function called hyperbolic tangent function is applied to balance the chattering affection and the disturbance. At last, a battery simulation model is established to test the SOC estimation performance of the designed SMOs, and the results show the proposed approach is feasible and effective. (C) 2015 Elsevier B.V. All rights reserved.
机译：提出了一种基于自适应滑模观测器（SMO）和分数阶等效电路模型（FOECM）的锂离子电池充电状态（SOC）估计方法。为了设计用于SOC估计的自适应滑模观测器（SMO），推导了基于电池FOECM的状态方程。提出了一种针对观测者增益的新的自我调整策略，以在估计过程中调整观测者，这有助于减少抖动和收敛时间。此外，使用称为双曲正切函数的连续且平滑的函数来平衡颤动的情感和干扰。最后，建立了电池仿真模型来测试设计的SMO的SOC估计性能，结果表明该方法是可行和有效的。 （C）2015 Elsevier B.V.保留所有权利。

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