第03讲:H滤波器原理【AESA王榘】 | |||
发表时间:2020-06-19 阅读次数: | |||
相关文献 [1] J. Wang, R. Xiong, L. Li, Y. Fang, A comparative analysis and validation for double-filters-based state of charge estimators using battery-in-the-loop approach, Appl. Energy. 229 (2018) 648–659. (点击下载) [2] Chen C, Xiong R, Shen W. A lithium-ion battery-in-the-loop approach to test and validate multiscale dual H infinity filters for state-of-charge and capacity estimation[J]. IEEE Transactions on power Electronics, 2017, 33(1): 332-342. (点击下载) [3] K. Dai, J. Wang, H. He, An Improved SOC Estimator Using Time-Varying Discrete Sliding Mode Observer, IEEE Access. 7 (2019) 115463–115472. (点击下载) [4] 王榘, 熊瑞, 穆浩. 温度和老化意识融合驱动的电动车辆锂离子动力电池电量和容量协同估计[J].电工技术学报,2020,35(23):4980-4987. (点击下载) [5] Wei Z , Zhao D , He H , et al. A noise-tolerant model parameterization method for lithium-ion battery management system[J]. Applied Energy, 2020, 268:114932. (点击下载) [6] Xiong R. Battery Management Algorithm for Electric Vehicles[M]. Springer, 2020. [7] Xiong R, Shen W. Advanced battery management technologies for electric vehicles[M]. John Wiley & Sons, 2019. [8] 熊瑞. 动力电池管理系统核心算法[M]. 北京:机械工业出版社,2018. |
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