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公开(公告)号:US06971345B2
公开(公告)日:2005-12-06
申请号:US10376074
申请日:2003-02-27
申请人: Helge Nareid , Neil Lightowler
发明人: Helge Nareid , Neil Lightowler
CPC分类号: F02D41/2422 , F01L9/02 , F01L9/04 , F01L2800/00 , F02D13/0207 , F02D13/0253 , F02D41/0002 , F02D41/1401 , F02D41/1405 , F02D2041/001 , F02D2041/143 , Y02T10/42
摘要: A method of controlling a mechanical actuator using a modular map processor comprises monitoring a plurality of parameters associated with the actuator. The modular map processor generates a control signal based on the parameters for output to the actuator and modifies the control signal based on a merit function. In preferred forms the mechanical actuator is an input or output valve in a cylinder for an internal combustion engine.
摘要翻译: 使用模块化地图处理器来控制机械致动器的方法包括监视与致动器相关联的多个参数。 模块化地图处理器基于用于输出到致动器的参数产生控制信号,并且基于优值函数修改控制信号。 在优选形式中,机械致动器是用于内燃机的气缸中的输入或输出阀。
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公开(公告)号:US20120271578A1
公开(公告)日:2012-10-25
申请号:US13542559
申请日:2012-07-05
申请人: Helge Nareid
发明人: Helge Nareid
CPC分类号: G01R31/3648 , G01R31/392
摘要: A battery management system includes a neural network, for estimating an amount of charge stored in a battery following a recharging operation. Then, an amount of charge drawn during a discharging operation is subtracted from this estimated amount of charge to derive an estimate for the state of charge of the battery at a present time. A parameter representing the state of health of the battery may be provided as an input to the neural network, and the parameter representing the state of health of the battery may be generated by a second neural network.
摘要翻译: 电池管理系统包括神经网络,用于估计在充电操作之后存储在电池中的电量。 然后,从该估计的电荷量中减去在放电操作期间拉出的电荷量,以导出当前电池的充电状态的估计。 可以提供表示电池的健康状态的参数作为神经网络的输入,并且可以由第二神经网络生成表示电池的健康状态的参数。
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公开(公告)号:US20110203375A1
公开(公告)日:2011-08-25
申请号:US13063618
申请日:2009-09-14
申请人: Peter Farthing , Helge Nareid
发明人: Peter Farthing , Helge Nareid
IPC分类号: G01N29/04
CPC分类号: G01N29/221 , G01N29/07 , G01N29/265 , G01N2291/106 , G01N2291/2636
摘要: An inspection device in the form of an acoustic transducer with a number of transducer elements that are arranged in a circumferential array around substantially the whole circumference of the device, to transmit and receive acoustic signals around substantially the whole circumference of the device, typically at substantially the same time, allowing assessment of the inspected object from different perspectives without requiring moving parts on the inspection device. In some embodiments, the transducer elements are circumferentially offset to improve the resolution, and can be axially stacked along the device. Circumferential arrangement of the transducer elements in the device allows the device to transmit and receive signals around substantially its whole circumference, and thereby allows it to inspect whole pipe planar sections in real time, and without requiring rotation of the transducers, thereby avoiding moving parts. This also permits the device to measure and compare the return time and/or distance from the device to different points on a tubular being inspected, at the same axial location along the tubular, and this allows a qualitative or optionally a quantitative measurement of eccentricity.
摘要翻译: 声学换能器形式的检查装置,其具有多个换能器元件,该换能器元件围绕设备的大致整个圆周排列成圆周阵列,以基本上围绕设备的整个圆周发射和接收声学信号, 同时,允许从不同的角度对被检查对象进行评估,而不需要在检查装置上移动部件。 在一些实施例中,换能器元件周向地偏移以提高分辨率,并且可以沿着该装置轴向堆叠。 换能器元件在装置中的周向布置允许装置在基本上整个圆周上发送和接收信号,从而允许其实时地检查整个管道平面部分,并且不需要旋转传感器,从而避免运动部件。 这还允许装置在沿着管状物的相同的轴向位置处测量并比较在被检查的管状体上的从装置到不同点的返回时间和/或距离,并且这允许定性或可选地定量测量偏心度。
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公开(公告)号:US20100017155A1
公开(公告)日:2010-01-21
申请号:US12517545
申请日:2007-04-20
申请人: Helge Nareid
发明人: Helge Nareid
IPC分类号: G01R31/36
CPC分类号: G01R31/3648 , G01R31/392
摘要: A battery management system includes a neural network, for estimating an amount of charge stored in a battery following a recharging operation. Then, an amount of charge drawn during a discharging operation is subtracted from this estimated amount of charge to derive an estimate for the state of charge of the battery at a present time. A parameter representing the state of health of the battery may be provided as an input to the neural network, and the parameter representing the state of health of the battery may be generated by a second neural network.
摘要翻译: 电池管理系统包括神经网络,用于估计在充电操作之后存储在电池中的电量。 然后,从该估计的电荷量中减去在放电操作期间拉出的电荷量,以导出当前电池的充电状态的估计。 可以提供表示电池的健康状态的参数作为神经网络的输入,并且可以由第二神经网络生成表示电池的健康状态的参数。
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