Abstract: A battery characteristic estimation device includes a first calculation part configured to calculate a first electrical characteristic value of a secondary battery on the basis of frequency-dependent data that is data of an output voltage of the secondary battery changed by a frequency of alternating current applied to the secondary battery, a second calculation part configured to calculate a second electrical characteristic value of the secondary battery on the basis of transient response data that is data of the output voltage of the secondary battery attenuated by a change in direct current applied to the secondary battery, and an estimation part configured to estimate an electrical characteristic value of the secondary battery on the basis of the first electrical characteristic value and the second electrical characteristic value.

Abstract: There is provided a method for predicting the amount of corrosion in a steel including a step in which, based on a weather observation value WM at a scheduled use point M of the steel, a corrosion index Q(tMi, WM) is obtained for each past observation time tMi, extremal value statistical analysis is performed on time-series data of the corrosion index Q(tMi, WM) between observation times tM1 to tMn, and a maximal value Qmax(tFi) of the corrosion index within future evaluation periods tF1 to tFn is estimated, and a corrosion amount estimation step in which a relational expression between a measured corrosion amount obtained in a corrosion test at a test point Z and the maximum value of a corrosion index Q(tZi, WZ) obtained for each observation time tZi during a test period of the corrosion test based on a weather observation value WZ at the test point Z is obtained in advance, the maximal value Qmax(tFi) of the corrosion index estimated above is introduced into the relational expression, and an estimated value

Abstract: It is provided a method for classifying vibrations detected in a structure of a building. The method is performed in a vibration classifier and comprising the steps of: determining a measurement period of a vibration signal; splitting the measurement period in a plurality of sequential sub-periods; calculating, for each one of the sub-periods, a variation indicator of at least one component of the vibration signal; and classifying a source of the vibration signal based on the variation indicators.

Abstract: Described herein is a high fidelity SFP Li-battery model, which can describe the internal electrochemical reaction mechanism accurately, to estimate State of Health (SOH) and State of Charge (SOC) of Li-batteries.

Abstract: The invention provides a method and system for identifying electrochemical model parameters based on capacity change rate. The method includes: acquiring operating data from an actual operation process of a lithium battery and cleaning an actual operating data set from the operating data; generating a simulated operating data set through simulation of a preset electrochemical model; performing parameter identification based on a preset first loss function, the actual operating data set, and the simulated operating data set; calculating capacity convergence coefficient; comparing capacity convergence coefficient with a preset convergence threshold value; when greater than the preset convergence threshold value, regenerating the simulated operating data set; and when not greater than the preset convergence threshold value, outputting an electrochemical model parameter set as a parameter identification result.

Abstract: Battery system diagnostic data may be generated at battery node controllers in a battery system. A battery node controller may selectively couple a power bus with a battery node including one or more battery cells. An unsupervised machine learning model may be trained based on the battery system diagnostic data. Outlier values may be determined by applying the machine learning model to the battery node diagnostic data. A battery node may be identified as anomalous based on a comparison of a designated outlier value associated with the designated battery node with the plurality of outlier values. A battery node operation profile controlling operation of the designated battery node may be updated.

Abstract: A system for estimating a parameter of a battery assembly includes a sensing device connected to a cell of the battery assembly, the battery assembly having a first battery chemistry, the sensing device including a measurement cell having a second battery chemistry that is different than the first battery chemistry. The system includes an estimator configured to acquire a set of first estimates of a first state of charge (SOC) of the battery assembly, acquire a set of second estimates of a second SOC of the sensing device, and blend the sets of estimates to generate a blended SOC relation describing the second SOC of the sensing device as a function of the first SOC of the battery assembly. The estimator is also configured to filter the set of first estimates using the blended SOC relation to generate a final estimate of the SOC of the battery assembly.

Abstract: A battery diagnosing apparatus according to one embodiment of the present disclosure includes: a profile acquisition unit that acquires a battery profile representing a correspondence between a voltage and a capacity of a battery; and a control unit that divides a capacity section of the battery profile into a plurality of sections, derives a target value for one target index related to a differential capacity peak or a charging capacity ratio among a plurality of diagnosis indices set in advance, from each of the divided sections, compares a correspondence between the derived plurality of target values with a preset reference profile that represents a correspondence between a plurality of target indices, and diagnoses a state of the battery based on a result of the comparison.

Abstract: Methods and apparatus consistent with the present disclosure may use a plurality of force sensing devices that allow a computer of an autonomous vehicle (AV) to identify locations within the AV where particular objects reside. These force sensing devices may allow the AV computer to identify how much a particular object weights and identify whether an object has moved based on a location where a particular amount of weight currently resides versus a location where that weight previously resided in the AV. Weight information combined with other sensor data (e.g. camera or LIDAR data) may allow the AV computer to identify whether a particular object is a person or a package. The AV computer may also validate that certain driving rules are enforced, such that persons or packages are being moved safely and correctly in the AV.

Abstract: A device for simulating suction penetration of suction caisson based on centrifuge model test includes a model box, a suction caisson model in the model box and containing a suction caisson and a connecting rod, a penetration device disposed above the model box and movably connected to the connecting rod, a vacuum system connected to the suction caisson, a lower part of the suction caisson is provided with soil, and an upper part of the soil is provided with a water body. The penetration device includes a guide rail and a drive lever. The drive lever penetrates through the model box and then is connected to an electromagnetic adsorption device, a bottom end of which includes a guide housing, and the connecting rod is inserted into the guide housing. The device can dynamically correct displacement deviation in a suction penetration process, thereby being continuously tested in a centrifugal state.

Abstract: A secondary battery degradation determination apparatus configured to perform degradation determination for a secondary battery as a determination target includes a processor. The processor is configured to calculate an estimated electric capacity of the secondary battery, based on at least a slope between any two points on a charging curve indicating a charging characteristic of the secondary battery; and perform the degradation determination for the secondary battery, based on the estimated electric capacity that is calculated.

Abstract: This load estimating device for a rolling bearing comprises: a vibration sensor for measuring vibrations of the rolling bearing during rotation; a rotational speed sensor for measuring the rotational speed of the rolling bearing during rotation; a deriving means for deriving a vibration value for a predetermined vibration frequency, using vibration information measured by the vibration sensor; and an estimating means for estimating a load acting on the rolling bearing, said load corresponding to the rotational speed measured by the rotational speed sensor and the vibration value derived by the deriving means, using a table defining a correspondence relationship between the load acting on the rolling bearing, the vibration value for the predetermined vibration frequency, and the rotational speed.

Abstract: The subject matter of this specification can be embodied in, among other things, method for testing operation of a thrust reverser actuator lock includes determining, by a controller, that an actuator output of a controllable actuator is at a predetermined first position, locking, by the controller, an actuator lock configured to prevent movement of the actuator output of an actuator away from the predetermined first position, initiating, by the controller, actuation of the actuator output away from the predetermined first position, determining, by the controller based on a position feedback sensor, a second position of the actuator output, determining, by the controller, a nominal condition of the actuator lock based on determining that the second position is within a predetermined threshold distance from the predetermined first position of the actuator output, and providing, by the controller and based on the determined nominal condition, a signal indicative of the nominal condition.

Abstract: Processing circuitry functionally includes: an internal resistance calculation unit; a reference value obtaining unit configured to obtain a reference value for internal resistance; a correction coefficient calculation unit configured to calculate a correction coefficient indicating how great difference between the internal resistance and the reference value is: a correction value calculation unit configured to calculate a correction value by correcting the reference value using the correction coefficient; and an estimation unit configured to calculate estimated internal resistance, based on the correction value and present voltage. The processing circuitry is configured to control charge and/or discharge of the battery, based on the internal resistance or the estimated internal resistance.

Abstract: Circuitry for a resistance of an electrochemical cell comprising at least one first electrode and a second electrode, the circuitry comprising: drive circuitry configured to apply a stimulus to the at least one first electrode of the electrochemical cell; sense circuitry configured to measure a response of the electrochemical cell to the stimulus, the response comprising a faradaic component and a non-faradaic component; and processing circuitry configured to: sample the response at a sample time, the sample time selected to maximise a ratio of the non-faradaic component to the faradaic component; and determine the resistance of the electrochemical cell based on the response at the sample time.

Abstract: A second polymer is prepared through derivatization of a first polymer. Kendrick Mass Defect (KMD) analysis is applied on a mass spectrum of the second polymer, to thereby produce a plot. Meanwhile, a plurality of mass candidates for a non-primary-chain segment are calculated based on a mass spectrum of the first polymer. The KMD analysis is applied on the plurality of mass candidates, to thereby produce reference images. A mass of the non-primary-chain segment is identified through matching of two KMD analysis results.

Abstract: A device and a method for measuring a thermal charging state in a latent heat thermal energy storage (LHTES) system are provided. The device includes an energy storage unit with a phase change material (PCM) and one or more thermistor wires disposed along the length of the PCM. A control circuit is electrically connected to the thermistor wires. The control circuit passes an electric current through the one or more thermistor wires and measures the resulting resistance change. A processor, in communication with the control circuit, is configured to determine the thermal charging state of the PCM based on the measured resistance change. This configuration allows for an integrated thermal measurement along the entire length of the PCM to provide an accurate assessment of the stored energy.

Abstract: An information processing device according to the present application includes a hardware processor functioning as an acquisition unit, a determination unit, and a provision unit. The acquisition unit acquires user information that is information relative to a user. The determination unit determines a recommended battery on the basis of the user information acquired by the acquisition unit. The recommended battery is recommended to the user and used for a moving object. The provision unit provides information relative to the recommended battery determined by the determination unit.

Abstract: A power detector with wide dynamic range. The power detector includes a linear detector, followed by a voltage-to-current-to-voltage converter, which is then followed by an amplification stage. The current-to-voltage conversion in the converter is performed logarithmically. The power detector generates a desired linear-in-dB response at the output. In this power detector, the distribution of gain along the signal path is optimized in order to preserve linearity, and to minimize the impact of offset voltage inherently present in electronic blocks, which would corrupt the output voltage. Further, the topologies in the sub-blocks are designed to provide wide dynamic range, and to mitigate error sources. Moreover, the temperature sensitivity is designed out by either minimizing temperature variation of an individual block such as the v-i-v detector, or using two sub-blocks in tandem to provide overall temperature compensation.

Abstract: Voltage measurement techniques for battery cells in a battery management system (BMS) are described. Raw voltage measurements may include errors caused by ohmic losses due to cable impedances and other elements in the BMS. The techniques include performing a calibration cycle to generate correction values based on measured response with discharge switches in different states. The techniques also include scaling the correction values during runtime to correct for filter response errors in the voltage measurement.