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机译:基于FBG的应变传感器和采用机器学习,锂离子电池电量估计器
School of Mathematics Computer Science and Engineering City University of London London U.K.;
School of Mathematics Computer Science and Engineering City University of London London U.K.;
School of Mathematics Computer Science and Engineering City University of London London U.K.;
University of Leeds Leeds U.K.;
University of Leeds Leeds U.K.;
University of Leeds Leeds U.K.;
School of Mathematics Computer Science and Engineering City University of London London U.K.;
School of Mathematics Computer Science and Engineering City University of London London U.K.;
Temperature sensors; Temperature measurement; Strain; Optical fiber sensors; Lithium-ion batteries;
机译:基于全局粒子群优化和改进的扩展卡尔曼滤波器的锂离子电池全区域电量估算器
机译:基于离散小波变换的去噪技术在电动汽车锂离子电池高级荷电状态估计中的应用
机译:利用引力搜索算法估算锂离子电池充电状态的极限学习机模型
机译:使用机器学习区分基于FBG的传感器的应变和温度效应
机译:机器学习辅助基于FBG的传感器
机译:基于FBG的应变传感器的灵敏度增强
机译:基于机器学习的锂离子电池电极自动高光谱拉曼分析的分析框架