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    • 1. 发明授权
    • Air channel interconnects for 3-D integration
    • 空气通道互连用于3-D集成
    • US08198174B2
    • 2012-06-12
    • US12536176
    • 2009-08-05
    • Louis L. HsuBrian L. JiFei LiuConal E. Murray
    • Louis L. HsuBrian L. JiFei LiuConal E. Murray
    • H01L21/44
    • H01L23/467H01L21/76898H01L23/481H01L25/0657H01L25/50H01L2225/06513H01L2225/06541H01L2225/06589H01L2924/0002H01L2924/00
    • A three-dimensional (3D) chip stack structure and method of fabricating the structure thereof are provided. The 3D chip stack structure includes a plurality of vertically stacked chips which are interconnected and bonded together, wherein each of the vertically stacked chips include one or more IC device strata. The 3D chip stack structure further includes an air channel interconnect network embedded within the chip stack structure, and wherein the air channel interconnect network is formed in between at least two wafers bonded to each other of the vertically stacked wafers and in between at least two bonded wafers of the vertically stacked wafers at a bonding interface thereof. In addition, the 3D chip stack structure further includes one or more openings in a peripheral region of the chip stack structure that lead into and out of the air channel interconnect network, so that air can flow into and out of the air channel interconnect network through the one or more openings to remove heat from the chip stack structure.
    • 提供三维(3D)芯片堆叠结构及其结构的制造方法。 3D芯片堆叠结构包括互连并结合在一起的多个垂直堆叠的芯片,其中每个垂直堆叠的芯片包括一个或多个IC器件层。 3D芯片堆叠结构还包括嵌入在芯片堆叠结构内的空气通道互连网络,并且其中空气通道互连网络形成在至少两个晶片之间,所述至少两个晶片彼此接合在垂直堆叠的晶片之间,并且在至少两个结合 在其接合界面处的垂直堆叠的晶片的晶片。 此外,3D芯片堆叠结构还包括在芯片堆叠结构的外围区域中的一个或多个开口,其引入和流出空气通道互连网络,使得空气可以流入和流出空气通道互连网络,通过 一个或多个开口以从芯片堆叠结构移除热量。
    • 2. 发明申请
    • AIR CHANNEL INTERCONNECTS FOR 3-D INTEGRATION
    • 用于三维集成的空气通道互连
    • US20110031633A1
    • 2011-02-10
    • US12536176
    • 2009-08-05
    • Louis L. HsuBrain L. JiFei LiuConal E. Murray
    • Louis L. HsuBrain L. JiFei LiuConal E. Murray
    • H01L23/532H01L21/50H01L21/768
    • H01L23/467H01L21/76898H01L23/481H01L25/0657H01L25/50H01L2225/06513H01L2225/06541H01L2225/06589H01L2924/0002H01L2924/00
    • A three-dimensional (3D) chip stack structure and method of fabricating the structure thereof are provided. The 3D chip stack structure includes a plurality of vertically stacked chips which are interconnected and bonded together, wherein each of the vertically stacked chips include one or more IC device strata. The 3D chip stack structure further includes an air channel interconnect network embedded within the chip stack structure, and wherein the air channel interconnect network is formed in between at least two wafers bonded to each other of the vertically stacked wafers and in between at least two bonded wafers of the vertically stacked wafers at a bonding interface thereof. In addition, the 3D chip stack structure further includes one or more openings in a peripheral region of the chip stack structure that lead into and out of the air channel interconnect network, so that air can flow into and out of the air channel interconnect network through the one or more openings to remove heat from the chip stack structure.
    • 提供三维(3D)芯片堆叠结构及其结构的制造方法。 3D芯片堆叠结构包括互连并结合在一起的多个垂直堆叠的芯片,其中每个垂直堆叠的芯片包括一个或多个IC器件层。 3D芯片堆叠结构还包括嵌入在芯片堆叠结构内的空气通道互连网络,并且其中空气通道互连网络形成在至少两个晶片之间,所述至少两个晶片彼此接合在垂直堆叠的晶片之间,并且在至少两个结合 在其接合界面处的垂直堆叠的晶片的晶片。 此外,3D芯片堆叠结构还包括在芯片堆叠结构的外围区域中的一个或多个开口,其引入和流出空气通道互连网络,使得空气可以流入和流出空气通道互连网络,通过 一个或多个开口以从芯片堆叠结构移除热量。
    • 6. 发明授权
    • Method for estimating state-of-charge of lithium ion battery
    • 锂离子电池的充电状态估计方法
    • US09121909B2
    • 2015-09-01
    • US13695414
    • 2011-03-14
    • Fei LiuXusong RuanFeng Wen
    • Fei LiuXusong RuanFeng Wen
    • G01N27/416G01R31/36
    • G01R31/361G01R31/3624
    • The invention relates to the technical field of lithium-ion batteries, in particular to a method for estimating the state of charge of a lithium-ion battery. The method includes: charging a lithium-ion battery, recording multiple groups of ampere-hour integral values, and states of charge and voltage values corresponding to the ampere-hour integral values; taking the maximum value in the multiple groups of ampere-hour integral values as the first ampere-hour integral value, the state of charge corresponding to the first ampere-hour integral value as the first state of charge, and the voltage value corresponding to the first ampere-hour integral value as the first voltage value; monitoring the lithium-ion battery in real time, recording a real-time second ampere-hour integral value and a second voltage value, obtaining a second state of charge by an ampere-hour measuring method; and if the second voltage value is consistent with the first voltage value and the second state of charge is inconsistent with the first state of charge, replacing the second state of charge with the first state of charge. The invention increases the reliable evidence for judging the online equalization of the battery pack and most importantly avoids the situation where the state of charge of the battery can be corrected only on condition that the battery pack works at the extreme state of charge, and lowers the influences of the full charge and discharge on the lifetime of the battery.
    • 本发明涉及锂离子电池的技术领域,特别涉及一种用于估计锂离子电池的充电状态的方法。 该方法包括:对锂离子电池充电,记录多组安培小时积分值,以及对应于安培小时积分值的充电状态和电压值; 将多组安培小时积分值中的最大值作为第一安培小时积分值,对应于作为第一充电状态的第一安培小时积分值的充电状态和对应于 第一安培小时积分值作为第一电压值; 实时监控锂离子电池,记录实时第二安培小时积分值和第二电压值,通过安培小时测量方法获得第二充电状态; 并且如果所述第二电压值与所述第一电压值一致并且所述第二充电状态与所述第一充电状态不一致,则用所述第一充电状态代替所述第二充电状态。 本发明增加了用于判断电池组的在线均衡的可靠证据,最重要的是避免了仅在电池组工作在极端充电状态的情况下可以仅修正电池的充电状态的情况,并且降低 充电和放电对电池寿命的影响。
    • 9. 发明申请
    • ANOMALY DETECTION, FORECASTING AND ROOT CAUSE ANALYSIS OF ENERGY CONSUMPTION FOR A PORTFOLIO OF BUILDINGS USING MULTI-STEP STATISTICAL MODELING
    • 异常检测,预测和根本原因分析使用多步统计建模的建筑物组合能源消耗
    • US20120278051A1
    • 2012-11-01
    • US13098044
    • 2011-04-29
    • Huijing JiangYoung Min LeeFei Liu
    • Huijing JiangYoung Min LeeFei Liu
    • G06F17/10G06F19/00G01R19/00
    • G06Q10/04G06Q50/06
    • Multi-step statistical modeling in one embodiment of the present disclosure enables anomaly detection, forecasting and/or root cause analysis of the energy consumption for a portfolio of buildings using multi-step statistical modeling. In one aspect, energy consumption data associated with a building, building characteristic data associated with the building, building operation and activities data associated with the building, and weather data are used to generate a variable based degree model. A base load factor, a heating coefficient and a cooling coefficient associated with the building and an error term are determined from the variable based degree model and used to generate a plurality of multivariate regression models. A time series model is generated for the error term to model seasonal factors which reflect monthly dependence on energy use and an auto-regressive integrated moving average model (ARIMA) which reflects temporal dependent patterns of the energy use.
    • 在本公开的一个实施例中的多步统计建模使得能够使用多步统计建模对建筑物组合的能量消耗进行异常检测,预测和/或根本原因分析。 一方面,使用与建筑物相关联的能量消耗数据,构建与建筑物相关联的特征数据,建筑物操作和与建筑物相关联的活动数据以及天气数据来生成基于变量的度模型。 从基于变量的度模型确定基础负荷因子,与建筑物相关联的加热系数和冷却系数以及误差项,并用于产生多个多元回归模型。 为误差项生成时间序列模型,以模拟每月依赖能源使用的季节因素和反映能量使用的时间依赖模式的自回归积分移动平均模型(ARIMA)。