Abstract: Provided is a battery pack adapted to be removably mounted on a movable machine, the battery pack including: a rechargeable battery unit; a detector secured to the battery unit to detect the motion of the battery unit; a memory device; a processing device configured to record a history of motion information detected by the detector in the memory device; and an interface configured to output the motion information recorded in the memory device to the outside of the battery pack.

Abstract: A system is provided for performing a power estimation process for an electric vehicle using a controller. The controller estimates an inner state of an energy storage supply of the electric vehicle. The inner state represents a state-of-charge (SOC) and/or a state-of-health (SOH) of the energy storage supply. The controller also estimates an SOC value and/or an SOH value of the energy storage supply based on at least one of: a present current level, a present voltage level, a present temperature, and time-based information. The controller further estimates a bounded SOC value based on the SOC value, a first upper bound, a the first lower bound, and/or estimates a bounded SOH value based on the SOH value, a second upper bound, and a second lower bound. The controller then controls an electrification process of the electric vehicle based on the bounded SOC and/or SOH values.

Abstract: A processor-implemented method with battery state estimation includes estimating a current state of charge (SOC) of a target battery by correcting a first electrochemical model corresponding to the target battery using a first voltage difference between a measured voltage of the target battery and an estimated voltage of the target battery that is estimated by the first electrochemical model, estimating an end SOC of the target battery by correcting a second electrochemical model using a second voltage difference between an estimated voltage of a virtual battery that is estimated by the second electrochemical model and a preset voltage, and estimating a relative SOC (RSOC) of the target battery based on the current SOC and the end SOC of the target battery, wherein the second electrochemical model is based on the virtual battery corresponding to the target battery being discharged to reach the preset voltage.

Abstract: [Object] To provide a lightning threat information-providing apparatus, a lightning threat information-providing method, and a program that are capable of providing a user with accurate information regarding a lightning threat.

Abstract: A method and/or system configured to select state estimator operation settings based on one or more system inputs; and determine a battery state of a battery, based on sensor measurements associated with the battery, using a state estimator operating under the state estimator operation settings.

Abstract: System, methods, and other embodiments described herein relate to improving the estimation of battery life. In one embodiment, a method includes measuring electrochemical data of a battery cell associated with an electrochemical reaction triggered by a test during a diagnostic cycle. The method also includes determining a feature associated with the degradation of the battery cell from the electrochemical data. The method also includes predicting an end-of-life (EOL) of the battery cell by using the feature in a machine learning (ML) model.

Abstract: According to one embodiment, a behavior estimating method for estimating behavior of a person being measured equipped with an activity meter including an acceleration sensor, includes presetting a first angle between a gravitation direction and a direction of action of a standard person being measured, calculating different acceleration waveforms from the activity meter, extracting a second angle between the gravitation direction and the direction of action of the person from the acceleration waveforms, performing a coordinate transformation process among the acceleration waveforms based upon the present first angle and the extracted second angle, and performing behavior estimation of the person using a result of the coordinate transformation.

Abstract: A processor-implemented method with battery state estimation includes estimating a current state of charge (SOC) of a target battery by correcting a first electrochemical model corresponding to the target battery using a first voltage difference between a measured voltage of the target battery and an estimated voltage of the target battery that is estimated by the first electrochemical model, estimating an end SOC of the target battery by correcting a second electrochemical model using a second voltage difference between an estimated voltage of a virtual battery that is estimated by the second electrochemical model and a preset voltage, and estimating a relative SOC (RSOC) of the target battery based on the current SOC and the end SOC of the target battery, wherein the second electrochemical model is based on the virtual battery corresponding to the target battery being discharged to reach the preset voltage.

Abstract: A method, computer program product, and apparatus are provided for controlling components of a detection device. The device may detect turbidity of liquid with sensors such as a density sensor and/or nephelometric sensor. A light modulation pattern may reduce or eliminate interference in sensor readings. Readings may be performed during off cycles of an illumination light to reduce interference but to provide improved visibility of a tube. Dark and light sensor readings may be performed with an emitter respectively off or on to account for ambient light in subsequent readings. Readings from the density sensor and/or nephelometric sensor may be used to calculate McFarland values. The device may be zeroed based on an emitter level that results in a sensor reading satisfying a predetermined criterion.

Abstract: A method may comprise storing a first service provider record associated with a first project located at a first geographic location, receiving a request for project identifiers located within a section of a geographic area, providing a subset of the first set of the one or more project identifiers to be displayed on a second map the first user device, receiving a selected project of the project identifiers, providing a project page indicating categorical identifiers associated with the first project indicating at least some work performed, a link to at least one service professional's profile page, an opinion review and an insight review, receiving a selection of the link to the at least one service professional's profile page, and providing, a profile page of the at least one service professional, the profile page including contact information of the at least one service professional.

Abstract: Systems and techniques that facilitate predictive core rub diagnostics are provided. A sensor component can collect real-time operation parameters of a gas turbine engine. An analysis component can statistically combine first values, second values, and third values to yield a rub indicator for the engine. The first values can be based on a first comparison of fundamental mode placements of the engine, derived from the real-time operation parameters, and baseline fundamental mode placements. The second values can be based on a second comparison of a vibration spectrum of the engine, derived from the real-time operation parameters, and a baseline vibration spectrum. The third values can be based on a third comparison of the real-time operation parameters of the engine and baseline operation parameters. A classification component can generate a rub classification report indicating presence of rubbing in the engine, based on the rub indicator.

Abstract: A processor-implemented method of estimating a state of a battery includes acquiring current information and voltage information of a battery; determining time interval values based on the acquired current information such that current integration values corresponding to the time variation values satisfy a condition; determining voltage values corresponding to the determined time interval values in the acquired voltage information; and determining state information of the battery based on the determined voltage values.

Abstract: The embodiments of the present application disclose a method, apparatus and medium for estimating a battery remaining life and relates to the field of battery power. The method includes: acquiring a material aging parameter of a battery representing an aging degree of a material of the battery; and determining, based on a preset corresponding relationship between the material aging parameter and the battery remaining life, the battery remaining life corresponding to the material aging parameter.

Abstract: A battery management system (BMS) and method for determining an active material content in an electrode includes determining a first peak in an inverse-differential capacity analysis curve of a the battery, determining a second peak in an incremental capacity analysis (ICA) curve associated with the at least one electrode, mapping the first peak of the inverse-differential capacity analysis curve to the second peak of the ICA curve, determining an active material content in the at least one electrode of the battery based on the mapping, and optimizing a performance of the battery based on the active material content in the at least one electrode.

Abstract: A digital sensor network is overlaid on an integrated circuit for identifying and mapping hotspots in the integrated circuit. The digital sensor network may include a plurality of digital sensors distributed within an area of an integrated circuit component of an integrated circuit. Each of the plurality of digital sensors may include a ring oscillator and may be configured to output a counter value of a ring oscillator counted over a designated period. A sensor network control unit may be provided that is communicatively connected to the plurality of digital sensors via a communication circuit. The sensor network control unit may be configured to receive a plurality of counter values including the counter value from each of the plurality of digital sensors and identify a hotspot within the area of the integrated circuit.

Abstract: System, methods, and other embodiments described herein relate to improving the cycling of batteries by using data and a hierarchical Bayesian model (HBM) for predicting the cycle life of a cycling protocol. In one embodiment, a method includes classifying cycle life of a battery into a class using battery data from cycling with a protocol, wherein the class represents cycle life distributions of cycling protocols. The method also includes quantifying, using the class in a HBM, variability for the battery induced by the protocol. The method also includes predicting, using the HBM, an adjusted cycle life for the protocol according to the variability. The method also includes communicating the adjusted cycle life to operate the battery.

Abstract: The disclosure relates to a dimension measurement apparatus that reduces time required for dimension measurement and eliminates errors caused by an operator. Therefore, the dimension measurement apparatus uses a first image recognition model that extracts a boundary line between a processed structure and a background over the entire cross-sectional image and/or a boundary line of an interface between different kinds of materials, and a second image recognition that output information for dividing the boundary line extending over the entire cross-sectional image obtained from the first image recognition model for each unit pattern constituting a repetitive pattern, obtains coordinates of a plurality of feature points defined in advance for each unit pattern, and measures a dimension defined as a distance between two predetermined points of the plurality of feature points.

Abstract: A state of charge of a battery is estimated by a battery model specific to the battery. The battery model provides a section-wise defined correlation of terminal voltage values depending on state of charge values. Each of sections of the battery model delimits a monotonic dependence of the correlation from others of the sections. By segmenting the correlation of terminal voltage values depending on a state of charge value into sections, each segment within such the section-wise defined correlation of terminal voltage values depending on state of charge values is mathematically spoken a bi-unique function suitable for transformation into an inverse function defined within the section. The estimated state of charge may be continuously refined by an iterative feedback loop including coulomb counting for estimating a battery charge value, where refined estimated battery charge values state of charge values at a previous cycle are projected forward to the current cycle.

Abstract: A method is described for determining the state of a vehicle equipped with an electric charge accumulator assembly adapted to power at least one starter device of a thermal engine and/or accessory devices of the vehicle and rechargeable by means of the kinetic energy of said engine, including the detection of the voltage available across the electric charge accumulator assembly of the vehicle in a predetermined succession of moments in time; at least one binary classification of the voltage value available across the accumulator assembly by comparison with a reference voltage value; and the determination of the operating state of the vehicle as a function of the outcome of the binary classification of the value of the voltage available across the accumulator assembly.

Abstract: An information terminal is configured to extract a predetermined frequency band from a waveform of a signal of a machine component detected by a vibration sensor, to compare an analyzed frequency component and a damaging frequency resulting from a damage of the machine component, and to diagnose abnormality of the machine component. The information terminal includes a database in which the damaging frequency resulting from the damage of the machine component is preserved as a converted damaging frequency obtained by converting the damaging frequency on a basis of a predetermined rotating speed of the machine component. The damaging frequency is provided by calculating the converted damaging frequency in the database by using an actual rotating speed of the machine component. Accordingly, it is possible to keep specifications of a machine component confidential without preserving the specifications of the machine component.