第04讲:卡尔曼滤波算法原理及其在电池状态中的应用【AESA段砚州】 | |||
发表时间:2020-06-28 阅读次数: | |||
相关文献 [1] Plett G L. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation[J]. Journal of Power sources, 2004, 134(2): 277-292. (点击下载) [2] Xiong R , He H , Sun F , et al. Evaluation on State of Charge Estimation of Batteries With Adaptive Extended Kalman Filter by Experiment Approach[J]. IEEE Transactions on Vehicular Technology, 2013, 62(1):108-117. (点击下载) [3] Xiong R , Gong X , Mi C C , et al. A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter[J]. Journal of Power Sources, 2013, 243(6):805-816. (点击下载) |
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