In-situ ultrasonic method for detecting the state of charge in soft-packaged lithium-ion batteries

    公开(公告)号:US20240361394A1

    公开(公告)日:2024-10-31

    申请号:US18650083

    申请日:2024-04-30

    摘要: The present invention discloses a method for in-situ detection of the state of charge (SOC) of pouch-type lithium-ion batteries using ultrasonic guided waves. The invention involves attaching two circular piezoelectric patches symmetrically at a fixed distance from each other on the surface of the lithium-ion battery using a coupling agent. A function generator is controlled to produce a Hanning-window-modulated five-cycle sine signal to excite the circular piezoelectric patch located on the left side of the battery, generating ultrasonic guided waves within the battery. These waves are then received by the circular piezoelectric patch located on the right side of the battery. The received guided wave signal is processed to extract the time-domain characteristic parameters of the wave (transit time). Based on the correspondence between the guided wave characteristic parameters (transit time) and the state of charge, the method enables the detection of the SOC of the pouch-type lithium-ion battery. The invention employs a pair of circular piezoelectric patches in a one-actuation, one-reception manner for the detection of lithium-ion batteries, achieving in-situ detection of the SOC of pouch-type lithium-ion batteries without the need to record external parameters such as current and voltage.

    Prefetch-adaptive intelligent cache replacement policy for high performance

    公开(公告)号:US12093188B2

    公开(公告)日:2024-09-17

    申请号:US17719304

    申请日:2022-04-12

    摘要: The invention discloses a prefetch-adaptive intelligent cache replacement policy for high performance, in the presence of hardware prefetching, a prefetch request and a demand request are distinguished, a prefetch predictor based on an ISVM (Integer Support Vector Machine) is used for carrying out re-reference interval prediction on a cache line of prefetching access loading, and a demand predictor based on an ISVM is utilized to carry out re-reference interval prediction on a cache line of demand access loading. A PC of a current access load instruction and PCs of past load instructions in an access historical record are input, different ISVM predictors are designed for prefetch and demand requests, reuse prediction is performed on a loaded cache line by taking a request type as granularity, the accuracy of cache line reuse prediction in the presence of prefetching is improved, and performance benefits from hardware prefetching and cache replacement is better fused.

    Near-infrared spectroscopy tomography reconstruction method based on neural network

    公开(公告)号:US12089917B2

    公开(公告)日:2024-09-17

    申请号:US16620860

    申请日:2018-12-21

    摘要: The present disclosure disclose a near-infrared spectroscopy tomography reconstruction method based on neural network which belongs to the field of medical image processing. In the Boltzmann radiation transmission equation, transmission process of light is regarded as absorption and scattering process of photons in medium, and interaction between light and tissue is determined by absorption coefficient, scattering coefficient and phase function of the response scattering distribution. In the transmission, only the particle property of light is taken into account, not the fluctuation of light. Therefore, polarization and interference phenomena related to the fluctuation of light are not considered, and only the energy transmission of light is tracked. The reconstruction method based on BP neural network is used to reconstruct the distribution of optical absorption coefficient, reconstruction results of absorption coefficient distribution can be obtained by calculation. This method can not only reconstruct the absorption coefficient distribution accurately, but also has high computational efficiency.

    METHOD FOR TREATING MIDDLE AND MATURE LANDFILL LEACHATE BY ENDOGENOUS DENITRIFICATION COMBINED AUTOTROPHIC NITROGEN REMOVAL PROCESS

    公开(公告)号:US20240208846A1

    公开(公告)日:2024-06-27

    申请号:US17919919

    申请日:2021-10-29

    IPC分类号: C02F3/30 C02F103/06

    摘要: A method for treating middle and mature landfill leachate by endogenous denitrification combined autotrophic nitrogen removal process, which belongs to a field of biological treatment of high-ammonia-nitrogen wastewater. The middle and mature landfill leachate firstly enters a PN/ED-SBR reactor to perform in an A/O (anaerobic/aerobic) mode, microorganisms in an anaerobic stage absorb an external carbon source and store the external carbon source as an intracellular carbon source, partial nitrification is performed in the aerobic stage, and the ammonia nitrogen in inlet water is completely oxidized into nitrite nitrogen; after the reaction is finished, an effluent containing nitrite nitrogen and middle and mature landfill leachate are mixed and then enter an AMOX-UASB reactor to perform anammox reaction, the effluent of the reactor is pumped into the PN/ED-SBR reactor again to perform in the anoxic mode, and oxidized nitrogen is removed through endogenous denitrification.

    Soft measurement method for dioxin emission concentration in municipal solid waste incineration process

    公开(公告)号:US12002014B2

    公开(公告)日:2024-06-04

    申请号:US16967408

    申请日:2019-12-02

    摘要: Disclosed is a soft measurement method of DXN emission concentration based on multi-source latent feature selective ensemble (SEN) modeling. First, MSWI process data is divided into subsystems of different sources according to industrial processes, and principal component analysis (PCA) is used to separately extract the subsystems' latent features and conduct multi-source latent feature primary selection according to the threshold value of the principal component contribution rate preset by experience. Using mutual information (MI) to evaluate the correlation between the latent features of the primary selection and DXN, and adaptively determine the upper and lower limits and thresholds of the latent feature reselection; finally, based on the reselected latent features, a least squares-support vector machine (LS-SVM) algorithm with a hyperparameter adaptive selection mechanism is used to establish DXN emission concentration sub-models for different subsystems, and based on branch and bound (BB) and prediction error information entropy weighting algorithm to optimize the selection of sub-models and calculation weights coefficient, a SEN soft measurement model of DXN emission concentration is constructed.

    Construction steel platform system using tuned liquid damper (TLD) and tuned mass damper (TMD) for composite tuned damping

    公开(公告)号:US12000170B2

    公开(公告)日:2024-06-04

    申请号:US17890223

    申请日:2022-08-17

    IPC分类号: E04H9/02

    CPC分类号: E04H9/0235 E04H9/0215

    摘要: A construction steel platform system using a tuned liquid damper (TLD) and a tuned mass damper (TMD) for composite tuned damping is provided. According to the construction steel platform system using a TLD and a TMD for composite tuned damping, a composite damper is composed of the TLD and the TMD overlapping each other, and a construction steel platform is placed above the double dampers. By adjusting a hole diameter of a partition plate in the TLD, a liquid level in a water tank, a stiffness of a spring at an edge of a friction support and mass of materials of a top of the steel platform, the whole steel platform system can achieve composite tuned damping. The TLD and the TMD can be flexibly combined in series or in parallel according to requirements of actual wind and earthquake loads.

    Ultra-Tough Hydrogel via Hierarchical Energy Associative Dissipation

    公开(公告)号:US20240174775A1

    公开(公告)日:2024-05-30

    申请号:US18513222

    申请日:2023-11-17

    IPC分类号: C08F20/06

    CPC分类号: C08F20/06 C08F2810/10

    摘要: An ultra-tough physical hydrogel based on hierarchical energy associative dissipation network is provided, which the field of polymeric materials. The stock solution of a hydrogen donor is prepared by dissolving the hydrogen donor in deionized water; the stock solution is mixed with a hydrogen acceptor, deionized water and a 10 wt % ammonium persulfate (APS) solution; the mixture is cured in a closed container; after reactants with specific functional groups and appropriate spatial structures are mixed, a hierarchical heterogeneous structure with a dynamic recovery capability can be spontaneously formed in polymerization reaction, and the mechanical properties of the hydrogel are kept stable through several energy associative dissipation paths.

    Method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal cognitive mechanism

    公开(公告)号:US20240160221A1

    公开(公告)日:2024-05-16

    申请号:US18412459

    申请日:2024-01-12

    IPC分类号: G05D1/243 G06V20/50

    摘要: A method for constructing episodic memory model based on rat brain visual pathway and entorhinal-hippocampal structure mainly applied to environment cognition and navigation of an intelligent mobile robot to complete tasks of environment cognition map construction and target-oriented navigation is provided. The image information of the environment, the head-direction angle and speed of the robot are collected, and then the head-direction angle and speed of the robot are input into the entorhinal-hippocampal CA3 neural computational model to obtain the robot's precise position. The visual information is input into the computational model of the visual pathway to obtain the scene information in the current vision of the robot. The above two kinds of information are fused and stored in a cognitive node with the topological relationship. Utilizing scenario information to correct the path integration errors during the exploration process of the robot, thereby constructing the episodic cognitive map representing the environment.