University of Electronic Science and Technology of China

Monolithic Power Systems, Inc.

Chengdu Monolithic Power Systems Co., Ltd.

Kai Chen

Yuhua Cheng

Chun Yin

Xuegang Huang

Bo Xu

Ting Xue

Libing Bai

Jia Zhao

Yanjun Yan

Haonan Zhang

Gen Qiu

Songting Zou

Hang Geng

Yi Bu Li

Min Xu

Paolo Baruzzi

Xiaohong Li

Xiao Yang

Anhua Shi

Yinze Wang

Zeqi Wang

Xutong Tan

Zhibo Li

Aolin Yang

Jianhao Luo

Junjie Liu

Lulu Tian

Xiaoyu Huang

The present invention provides a system for data mapping and storing in digital three-dimensional oscilloscope, wherein the fixed coefficients, which are calculated according the parameters and settings of a digital oscilloscope, are stored into a fixed coefficient memory CO RAM, the fixed coefficients are outputted to N fractional operation units through N−1 D flip-flop delay units to multiply with the acquired data x(n) and then be accumulated, thus N fractional calculus results are obtained. In this way, N fractional calculus results can be obtained by performing L/N fractional calculus operations. N fractional calculus results are sent to a signal processing and display module, in which they are converted into a display data through a drawing thread, and the display data are sent to LCD for displaying, thus the fractional calculus operation and display of a input signal in a digital oscilloscope is realized.

Digital oscilloscope having fractional calculus operation and display function

A method for high-precision true color three dimensional reconstruction of mechanical component. Firstly performs image acquisition: the left and right high-resolution grayscale cameras are fixed at same height and spaced at certain distance, an optical transmitter fixed between the two grayscale cameras, and low-resolution color camera fixed above optical transmitter, thus images of measured high-precision mechanical component are shot. Then performs image processing: all images are transmitted to a computer, which uses image processing to record surface information of measured high-precision mechanical component in the point cloud by high-precision true color three-dimensional reconstruction, which reflects color texture information of the surface, so as to realize the non-contact high-precision true color three dimensional reconstruction of high-precision mechanical component. The method uses binocular high-precision grayscale cameras instead of binocular color cameras, which broadens the range of capture wavelengths, retains richer texture details of high-precision mechanical component and improves accuracy of measurement.

Method for high-precision true color three-dimensional reconstruction of a mechanical component

The present invention provides a method for quantitatively identifying the defects of large-size composite material based on infrared image sequence, firstly obtaining the overlap area of an infrared splicing image, and dividing the infrared splicing image into three parts according to overlap area: overlap area, reference image area and registration image area, then extracting the defect areas from the infrared splicing image to obtain P defect areas, then obtaining the conversion coordinates of pixels of defect areas according to the three parts of the infrared splicing image, and further obtaining the transient thermal response curves of centroid coordinate and edge point coordinates, finding out the thermal diffusion points from the edge points of defect areas according to a created weight sequence and dynamic distance threshold &#x3b5;&#xd7;d, finally, based on the thermal diffusion points, the accurate identification of quantitative size of defects are completed.

Method for quantitatively identifying the defects of large-size composite material based on infrared image sequence

A system maps and stores data in digital three-dimensional oscilloscope, wherein an ADC module has four ADC submodules. Four acquired waveform data are sent to an extraction module, and buffered in a FIFO module. When a trigger signal arrives, FIFO module outputs four extracted waveform data to a mapping address calculation module for calculating a mapping address and a RAM serial number for each point data, and the waveform data comparison and control module performs the reading and writing control of the 4&#xd7;N dual port RAMs. When mapping number reaches a frame number, the RAM array module outputs its waveform probability values to the upper computer module to convert each value into RBG values, and the display module displays the waveforms of input signals of four channels on a screen according the RBG values.

System for data mapping and storing in digital three-dimensional oscilloscope

A daisy-chain battery cells system having a plurality of differential communication interfaces {F(i), i=1, . . . , N} respectively coupled to a plurality of voltage measuring modules {S(i), i=1, . . . , N} for a plurality of battery cells {C(i), i=1, . . . , N}. For each i=1, . . . , N&#x2212;1, a first high side differential pin pair (CLU(i)+, CLU(i)&#x2212;) of the idifferential communication interface F(i) is coupled to a first low side differential pin pair (CLL(i+1)+, CLL(i+1)&#x2212;) of the (i+1)differential communication interface F(i+1), and a second high side differential pin pair (DAU(i)+, DAU(i)&#x2212;) of the idifferential communication interface F(i) is coupled to a second low side differential pin pair (DAL(i+1)+, DAL(i+1)&#x2212;) of the (i+1)differential communication interface F(i+1). A low side interface FL(1) of the first differential communication interface F(1) is coupled to a controller. A high side interface FU(N) of the Ndifferential communication interface F(N) may receive a preset data/signal.

Daisy-chain battery cells system with differential communication interfaces

The present invention provides a method for separating out a defect image from a thermogram sequence based on weighted naive Bayesian classifier and dynamic multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities. The present invention extracts these features (physical quantities) and classifies the selected TTRs into K categories based on their feature vectors through a weighted naive Bayesian classifier, which deeply digs the physical meanings contained in each TTR, makes the classification of TTRs more rational, and improves the accuracy of defect image's separation. Meanwhile, the multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same category, but also considers the dissimilarities between the RTTR and the TTRs in other categories, thus the RTTR selected is more representative, which guarantees the accuracy of describing the defect outline. And the initial TTR population corresponding to the approximate solution for multi-objective optimization is chosen according to the previous TTR populations, which makes the multi-objective optimization dynamic and reduces its time consumption.

Method for separating out a defect image from a thermogram sequence based on weighted naive bayesian classifier and dynamic multi-objective optimization

The present invention provides a method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities, such as the energy, temperature change rate during endothermic process, temperature change rate during endothermic process, average temperature, maximum temperature. The present invention extract these features (physical quantities) and cluster the selected TTRs into L clusters based on their feature vectors, which deeply digs the physical meanings contained in each TTR, makes the clustering more rational, and improves the accuracy of defect separation. Meanwhile, the present invention creates a multi-objective function to select a RTTR for each cluster based on multi-objective optimization. The multi-objective function does not only fully consider the similarities between the RTTR and other TTRs in the same cluster, but also considers the dissimilarities between the RTTR and the TTRs in other clusters, the RTTR is more representative, which guarantees the accuracy of describing the defect outline.

Method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization

A battery management system (BMS) used in a battery pack, the battery pack has a discharging switch coupled between a battery and a load, and the load has a capacitor charged by the battery pack. The BMS has a driver circuit having a power supply terminal to receive a drive voltage, a ground reference terminal coupled to receive the battery pack voltage and an output terminal coupled to a control terminal of the discharging switch. The BMS generates a normal drive voltage and a ramp drive voltage, and the normal drive voltage is selected as the drive voltage when the voltage difference between the battery voltage and the battery pack voltage is less than a threshold voltage, and the ramp drive voltage is selected as the drive voltage when the voltage difference between the battery voltage and the battery pack voltage is higher than the threshold voltage.

Battery pack and discharge method for limiting an excessive discharge current

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Chengdu, China

Kai Chen