Abstract: The present disclosure provides a method and a system for estimating capacity and usage pattern of behind-the-meter energy storage in electric networks. Conventional techniques on estimating an effective capacity of behind-the-meter energy storage of a consumer, in presence of distributed energy generation units is limited, computationally intensive and provide inaccurate prediction. The present disclosure provides an accurate estimate of the effective capacity and usage pattern of behind-the-meter energy storage of a target consumer utilizing data samples received from a utility in presence of one or more distributed energy generation units, using an energy balance equation with less computation and accurate prediction. Based on accurate estimation of the effective capacity and usage pattern, the utility may plan for proper infrastructure to meet power demands of the consumers.

Abstract: Disclosed are a method and apparatus for determining electrical characteristics of a transistor, and a computer-readable storage medium. The method for determining electrical characteristics of a transistor includes: determining mobility characteristics of carriers in channels of the transistor at a transistor operating temperature condition; and determining electrical characteristics of the transistor based on the mobility characteristics of the carriers, semiconductor material properties of the transistor, and structural features of the transistor.

Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.

Abstract: To provide a precipitation particle classification apparatus for obtaining a proper classification result of precipitation particles based on information from a plurality of radar devices. The precipitation particle classification apparatus includes a data processing part, a fuzzy processing part, a coordinate conversion part, an interpolation part, and a classification part. The data processing part acquires polarization parameters obtained by reflection on the precipitation particles from each of the plurality of radar devices which are arranged at different positions and have a part of a scanning area overlapping with each other. The fuzzy processing part obtains a polar coordinate distribution evaluation value indicating the distribution in polar coordinates of an evaluation value indicating the degree of attribution to each type of precipitation particles from polarization parameters by using a fuzzy inference.

Abstract: A flood detection device includes a detection result acquisition section, a weather information acquisition section and an identification section. The detection result acquisition section acquires a detection result that, on the basis of a plurality of kinds of running state data relating to running of a vehicle, detects flooding of a road on which the vehicle is running. The weather information acquisition section acquires weather information including at least one of rainfall information representing a measured rainfall amount in a region in which the vehicle is running or rainfall estimation information representing an estimated rainfall amount. The identification section uses the respective acquisition results of the detection result acquisition section and the weather information acquisition section to identify flooding of the road.

Abstract: This disclosure provides systems, methods, and devices related to the study of ecological processes. In one aspect, a device includes a base, a substrate, and an enclosure. The substrate is in contact with a first surface of the base. The substrate and the base define a root chamber. The enclosure is in contact with a second surface of the base. The base and the enclosure define a growth chamber. The base defines a stem port connecting the root chamber and the growth chamber. The base further defines a first port in fluid communication with the root chamber and a second port in fluid communication with the root chamber. The device is operable to contain a plant, roots of the plant being in the root chamber, a stem of the plant passing through the stem port, and leaves of the plant being in the growth chamber.

Abstract: Methods, systems, and method for predicting sensor measurement quality.

Abstract: Disclosed is a method for calculating instantaneous sprinkler strength comprising: ensuring that a translational sprinkler (1) maintains a stable operating state, placing b rain barrels (3) at a distance of a metres from the translational sprinkler (1), and moving the translational sprinkler (1) to obtain measurement data; calculating movement time, and the average sprayed water depth received by the rain barrels (3); assuming the distribution form of the amount of water of the translational sprinkler (1), establishing a function relationship between an instantaneous sprinkler strength ht and the movement time t, and calculating a variable in the function relationship; and substituting into the established function relationship a specific numerical value of an instantaneous point in time t of the movement of the translational sprinkler (1), so that the value of ht obtained is a numerical value of the instantaneous sprinkler strength of the translational sprinkler (1).

Abstract: A precipitation index estimation apparatus includes a data collection unit and an estimation processing unit. The data collection unit is configured to collect rainfall amount data that is detected by a rainfall amount sensor in one or more vehicles positioned in a predetermined area within a predetermined period. The estimation processing unit is configured to estimate a precipitation index indicating an intensity of precipitation in the predetermined area within the predetermined period, based on the collected rainfall amount data.

Abstract: An apparatus is provided which substantially removes a perturbation signal from a pulse density modulated signal representing a combination of a signal to be measured and a perturbation applied to the signal to be measured. The removal of the perturbation is done by subtracting a correcting signal from the pulse density modulated signal. This approach introduces very little delay as it can be implemented by simple logic gates. It also provided enhanced immunity from the effects of bit errors.

Abstract: A battery State of Health estimation method based on a standard sample and a dual-embedded decoupling includes the steps of extracting significant characteristic peaks of the standard sample, mechanism parameter calibration of the standard sample, and on-line State of Health estimation of the test battery. The battery State of Health estimation method expounds the dual coupling relationship between temperature and aging on the characteristic peak voltage of Incremental Capacity curve from the perspective of impedance characteristic mechanism analysis, and proposes a method eliminating the voltage deviation caused by the most temperature-sensitive charge transfer resistance based on the “standard sample” to realize the decoupling of the first layer.

Abstract: Various embodiments include a sensor data system for a vehicle, the system comprising: a sensor in the vehicle, the sensor configured to collect environment data; a communication device configured to receive second environment model data from another vehicle; and a processing unit. The processing unit is configured to: calculate a first localization position of at least one of the vehicle or an object in the environment of the vehicle; generate first environment model data based at least in part on the environment data collected, wherein the first environmental model data and the second environment model data both contain localization data; compare the first localization data with the second localization data; and from the comparison determine a correction to the first localization position.

Abstract: A precipitation index estimation apparatus includes a data collection unit and an estimation processing unit. The data collection unit is configured to collect rainfall amount data that is detected by a rainfall amount sensor in one or more vehicles positioned in a predetermined area within a predetermined period. The estimation processing unit is configured to estimate a precipitation index indicating an intensity of precipitation in the predetermined area within the predetermined period, based on the collected rainfall amount data.

Abstract: A computerized method of processing data for use in weather modeling is provided. The method includes receiving, from a first data source, by a first server, microwave link data including signal attenuation information. The method also includes pre-processing, in real time, by the first server, the microwave link data, thereby producing pre-processed microwave link data. The method also includes storing the pre-processed microwave link data in a first data store. The method also includes receiving, from the first data store, by a second server, the pre-processed microwave link data. The method also includes processing, on a scheduled routine, by the second server, the pre-processed microwave link data using a data transform, thereby producing first weather data.

Abstract: A method of estimating a battery current limit for operation of a battery cell over the course of a specified prediction time. The method includes generating a plurality of current limit estimations by means of a plurality of current limit estimation sub-methods, wherein at least one current limit estimation sub-method generates its current limit estimation based on an RC equivalent circuit model of the battery cell, and determining the charge current limit by finding the lowest magnitude current limit estimation in the plurality of current limit estimations. At least one parameter of the RC equivalent circuit model is set based on the specified prediction time and at least one variable from the set of: a state of charge (SOC) of the battery cell, a temperature of the battery cell, a state of health (SOH) of the battery cell, a capacity of the battery cell, and a current of the battery cell.

Abstract: A fluorescent spectrum correcting method includes comparing fluorescent spectrum obtained from micro-particles labeled with a plurality of fluorescent pigments with reference spectrum to separating the fluorescent spectrum into fluorescent spectrum for each pigment, and previously measured spectrum data is used as the reference spectrum.

Abstract: A method for determining an ageing parameter KSOH of a rechargeable battery, especially a lithium rechargeable battery, featuring the steps (a) detecting an impedance Z of the rechargeable battery at different frequencies f, so that a Nyquist plot and a real part path, which plots a real part of the impedance Z against the frequency f, are obtained, determining at least one of the following SOH parameters, which can be selected from a predetermined list, establishing an SOH row vector {right arrow over (PSOH)} from the SOH parameters and all mixed terms of the form pSOH,m·pSOH,n, m=1, . . . , 11, n=1, . . . , m. The invention provides for the multiplication of the SOH row vector {right arrow over (PSOH)} by a saved calibration vector {right arrow over (ASOH)}, thereby obtaining the ageing parameter KSOH.

Abstract: An on-line State of Health estimation method of a battery in a wide temperature range based on “standardized temperature” includes: calculating battery Incremental Capacity curve of a battery, establishing a quantitative relationship between the voltage shift of the temperature-sensitive feature point and the temperature of a standard battery, standardized transformation of Incremental Capacity curves at different temperatures, establishing a quantitative relationship between the transformed height of the capacity-sensitive feature point and the State of Health based on a BOX-COX transformation. The BOX-COX transformation is expressed as y k ( ? ) = { y k ? - 1 ? ? ? 0 ln ? ? y k ? = 0 . An maximum likelihood function is used to calculate the optimal ?, and the transformed height of the capacity-sensitive feature point y can be acquired.

Abstract: A precipitation nowcasting method using dynamic motion vectors includes calculating a multiscale motion vector of a radar precipitation motion vector and a numerical model precipitation motion vector by changing spatial scale of cross correlation analysis for reach of a preset time interval from precipitation data obtained through a dual polarization radar, calculating a dynamic motion vector by merging the radar precipitation motion vector and the numerical model precipitation motion vector, generating a precipitation development and dissipation map through precipitation tracking and matching using the dynamic motion vector, and outputting a precipitation forecast field for each forecast time by applying the dynamic motion vector and the precipitation development and dissipation map to Lagrangian backward extrapolation. Accordingly, it is possible to achieve realistic precipitation forecast field simulation.

Abstract: A processor-implemented battery management method includes: estimating state information of a plurality of battery cells in a battery pack using a first battery state estimation model; determining whether state information of at least one of the plurality of battery cells is to be estimated using a second battery state estimation model; and estimating the state information of the at least one battery cell using the second model, in response to a result of the determining being that the state information of the at least one battery cell is to be estimated using the second model.