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1.发明申请METHOD AND SYSTEM FOR ELECTRIC VEHICLE BATTERY PROGNOSTICS AND HEALTH MANAGEMENT 审中-公开电动汽车预警与健康管理方法与系统公开(公告)号：US20120296512A1
公开(公告)日：2012-11-22
申请号：US13455642
申请日：2012-04-25
CPC分类号： H01M10/486 , B60K6/48 , B60K35/00 , B60K37/06 , B60K2370/1442 , B60K2370/5899 , B60K2370/592 , B60W50/14 , B60W2050/146 , B60W2510/244 , B60W2510/246 , B60W2520/10 , B60W2520/105 , B60W2530/14 , B60W2550/12 , B60W2550/14 , B60W2550/402 , H01M10/48 , H01M2220/20 , Y02T10/6221 , Y02T10/6269
摘要： A system for managing mobility of an electrically-powered vehicle. The system includes a monitoring module comprising a plurality of sensors. Each of the plurality of sensors is configured to sense the status of at least one feature of each of the electrically-powered vehicle, an environment in which the electrically-powered vehicle is residing, and a state of health of a battery of the electrically-powered vehicle. A mobility analysis module estimates mobility of the electric-powered vehicle based on the sensed status, and a telematics module displays the sensed statuses, the estimated mobility, or both. The telematics module resides on a cloud-based server.
摘要翻译： 一种用于管理电动车辆的移动性的系统。 该系统包括包括多个传感器的监视模块。 多个传感器中的每一个被配置为感测电动车辆中的每一个的至少一个特征的状态，电动车辆所在的环境以及电动车辆的电池的健康状态， 动力车辆。 移动性分析模块基于感测到的状态来估计电动车辆的移动性，并且远程信息处理模块显示感测到的状态，估计的移动性或两者。 远程信息处理模块驻留在基于云的服务器上。
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公开(公告)号：US20110066391A1
公开(公告)日：2011-03-17
申请号：US12879439
申请日：2010-09-10
申请人： Mohamed AbuAli , Jay Lee , Wenyu Zhao
发明人： Mohamed AbuAli , Jay Lee , Wenyu Zhao
摘要： In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.
摘要翻译： 在一个实施例中，提供了一种用于管理工业过程的方法，其中处理器将电子数据转换为能量预测。 可以接收包括表示能量消耗机消耗的电能的有效功率测试数据的能量相关测试信号。 能量相关测试信号可以被划分为与能量相关的测试子信号。 数学函数可以应用于与能量相关的测试子信号，以从能量相关测试子信号中提取特征数据集。 数据的特征集可以用变换矩阵转换成简化的测试特征集合。 减少的测试特征集可以至少部分地基于从指示健康操作期间消耗的电能的数据导出的减少的训练特征集输入到性能评估算法中。 可以使用性能评估算法生成基于能量的性能指标。
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公开(公告)号：US08527223B2
公开(公告)日：2013-09-03
申请号：US12879439
申请日：2010-09-10
申请人： Mohamed AbuAli , Jay Lee , Wenyu Zhao
发明人： Mohamed AbuAli , Jay Lee , Wenyu Zhao
摘要： In one embodiment, a method for managing an industrial process wherein a processor transforms electronic data into an energy prognosis is provided. An energy related test signal including effective power test data indicative of electrical energy consumed by an energy consuming machine may be received. The energy related test signal may be partitioned into an energy related test sub-signal. Mathematical functions may be applied to the energy related test sub-signal to extract a feature set of data from the energy related test sub-signal. The feature set of data may be transformed with a transformation matrix into a reduced test feature set. The reduced test feature set may be input into a performance assessment algorithm based at least in part upon a reduced training feature set derived from data indicative of electrical energy consumed during healthy operation. A power-based performance index may be generated with the performance assessment algorithm.
摘要翻译： 在一个实施例中，提供了一种用于管理工业过程的方法，其中处理器将电子数据转换为能量预测。 可以接收包括表示能量消耗机消耗的电能的有效功率测试数据的能量相关测试信号。 能量相关测试信号可以被划分为与能量相关的测试子信号。 数学函数可以应用于与能量相关的测试子信号，以从能量相关测试子信号中提取特征数据集。 数据的特征集可以用变换矩阵转换成简化的测试特征集合。 减少的测试特征集可以至少部分地基于从指示健康操作期间消耗的电能的数据导出的减少的训练特征集输入到性能评估算法中。 可以使用性能评估算法生成基于能量的性能指标。
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