机译:基于Lebesgue采样的锂离子电池诊断和预后的不确定性管理
Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA;
Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA;
Harbin Institution of Technology, Harbin, China;
Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA;
Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA;
Uncertainty; Prognostics and health management; Batteries; Adaptation models; Predictive models; Fault diagnosis; Prediction algorithms;
机译:基于Lebesgue采样的锂离子电池诊断和预后
机译:基于电动汽车真实电池管理系统的锂离子电池健康预测
机译:深度高斯过程回归用于锂离子电池健康预测和退化模式诊断
机译:基于Lebesgue采样的故障诊断和预测中的不确定性管理
机译:基于Lebesgue采样的诊断方法和预后方法在锂离子电池中的应用
机译:迈向更安全的电池管理系统:电池短路诊断和预后的批判性回顾
机译:锂离子电池中热和结构设计的优化,以获得节能电池热管理系统(BTMS):批判性评论
机译:诊断 - 预后反馈回路在不确定性下提高性能。