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机译:高斯工艺回归自动相关性测定核,用于锂离子电池的日历老化预测
Univ Warwick Warwick Mfg Grp Coventry CV4 7AL W Midlands England;
Univ Lancaster Dept Chem Lancaster LA1 4YB England;
Chongqing Univ Dept Automot Engn Chongqing 400044 Peoples R China;
IK4 Ikerlan Technol Res Ctr Leioa 48940 Spain|Univ Basque Country Leioa 48940 Spain;
Univ Warwick Warwick Mfg Grp Coventry CV4 7AL W Midlands England;
Aging; Ground penetrating radar; Predictive models; State of charge; Kernel; Lithium-ion batteries; Battery health; calendar aging prediction; data-driven model; Gaussian process regression; lithium-ion batteries;
机译:锂离子电池健康状态预测:多尺度逻辑回归和高斯过程回归集成
机译:基于高斯过程回归与深复发内核的锂离子电池的充电状态
机译:SOH基于高斯工艺回归与间接健康指标的高斯进程回归的SOH和RUL预测
机译:锂离子电池的健康状况使用诺尔指示器和优化高斯过程回归
机译:协同机会人机预测:高斯过程回归的主动误差分析与缓解
机译:基于高斯过程混合的锂离子电池剩余使用寿命预测
机译:多重高斯过程回归模型对锂离子电池的健康预测