首页> 外文会议>AIChE annual meeting >State-of-Health of Lithium-Ion Battery Estimation Method Using Reduced Equivalent Circuit Model(ECM)
【24h】

State-of-Health of Lithium-Ion Battery Estimation Method Using Reduced Equivalent Circuit Model(ECM)

机译:使用减少的等效电路模型(ECM)的锂离子电池估计方法的状态

获取原文
获取外文期刊封面目录资料

摘要

State-of-Health(SOH) indicates a remained capacity and the performance of Lithium-Ion Battery. There are a lot of factors decrease the performance of the battery such as normal ageing, high temperature operation, rapid current charging and others. However, only limited variables are available for measuring that make difficult to direct estimation of SOH. The SOH estimation method based on reduced electrochemical cell model is developed to on-line application. This model consists of semi-empirical model and equivalent circuit model. Moving-horizon parameter estimation method was adopted to minimize error of parameter for semi-empirical model. The results of SOH estimation by model are compared to experiment results under various driving patterns and conditions of lithiumion battery for HEV and PHEV. Consequently, the accuracy is high enough for applied to battery management system in HEV and PHEV as real time on-line SOH estimation.
机译:健康状况(SOH)表示锂离子电池的剩余容量和性能。 有很多因素降低了电池的性能,如正常老化,高温操作,快速电流充电等。 但是,只有有限的变量可用于测量难以直接估计SOH。 基于降低的电化学电池模型的SOH估计方法开发为在线应用。 该模型包括半经验模型和等效电路模型。 采用移动地平线参数估计方法来最小化半经验模型的参数误差。 通过模型的SOH估计的结果与用于HEV和PHEV的各种驱动图案和锂电池条件下的实验结果。 因此,精度足够高,以便在HEV和PHEV中应用于电池管理系统,就像在线SOH估计一样实时。

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