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机译:基于粒子群算法的改进自回归模型对锂离子电池的预测
School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China;
School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China;
School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China;
School of Automation Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China;
机译:基于Verhulst模型,粒子群优化和粒子滤波的锂离子电池预测
机译:基于改进耦合混合自适应粒子群优化模拟退火方法的锂离子电池的自适应模型参数识别
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:基于粒子群优化的电化学模型参数估计的锂离子电池劣化诊断
机译:锂离子电池研究的多尺度实验方法:从颗粒分析到优化的电池设计。
机译:粒子群优化的混合支持向量回归与自回归综合移动平均模型的经济指标预测财产犯罪率
机译:基于粒子群优化算法的锂离子电池模型参数识别方法研究