50results about How to "Estimate method is simple" patented technology

The invention relates to an estimation method of SOP of electric automobile lithium batteries. The method successively comprises the following steps: acquiring parameters of a battery system, acquiring predictive state parameters and calculating SOP. The estimation method has the advantages that the SOP of the electric automobile lithium batteries can be estimated by the method comprising the steps of acquiring parameters of the battery system, acquiring the predictive state parameters and calculating the SOP; the SOP of the electric automobile lithium batteries can be accurately estimated, sothat the utilization frequency of the electric automobile lithium batteries can be improved, and the damage to the batteries caused by excessive usage can also be effectively avoided; the power performance of the electric automobiles can be improved; the service life of the electric automobile batteries can be prolonged; the cost of the needed batteries can be effectively reduced; and the estimation method is simple.

The invention belongs to the field of array signal processing to realize accurate azimuth control of a correction source, thereby improving the formation estimation precision. Therefore, the inventionprovides a single-near-field-correction-source-based towing linear array formation estimation method and apparatus. The apparatus is composed of a towing ship, a near-field correction source, a towing linear array, an array element, a signal acquisition module, a signal transmission module and a signal processing module. The near-field correction source is installed at the head or tail of the towing ship and the position coordinate of the correction source is determined by a position sensor; the array element receives an acoustic signal propagated by an underwater acoustic channel and converts the acoustic signal into an electric signal; the signal acquisition module collects the electric signal and converts an analog signal into a digital signal; and all array element data are packaged and coded in the signal transmission module and transmits the processed data to the signal processing module. The single-near-field-correction-source-based towing linear array formation estimation method and apparatus are mainly applied to the array signal processing occasion.

The invention provides an autonomous underwater vehicle (AUV) field source searching method and system based on gradient estimation, and belongs to the field of control engineering and optimization. The method comprises the steps of constructing an AUV field source searching optimization model, determining the model of the AUV according to the searching task of the field source, installing a plurality of identical sensors; the AUV starting the field source searching from an initial position, and if the current position signal field intensity is larger than a preset field intensity threshold value, performing field source gradient estimation at the current moment, and determining whether the AUV reaches a field source position or not according to the gradient estimation result; and if the AUV does not reach the position of the field source, carrying out motion control on the AUV by utilizing the gradient estimation, the AUV moving to a new current position according to the control inputat the current moment, and repeating the process until the position of the field source is reached. According to the method and system, field source searching is carried out through gradient estimation for the first time, and an AUV still approaches the position of the field source at a preset posture and a height under the condition that the gradient is not accurate in the optimization problem.

The invention discloses a method and a system for estimating the state of charge (SOC) of a dual-variable structured filter power battery. The method comprises the following steps: firstly, establishing a battery equivalent model, identifying parameters of the power battery model by adopting first variable structure filtering, fitting the relationship of open circuit voltage (OCV) and the SOC of the power battery, and furthermore estimating the SOC by adopting second variable structure filtering. A variable structure filtering parameter beta beta value has relatively large influence on modification increment, and beta beta is adjusted by introducing fuzzy rules in a self-adaptive manner. A voltage and current sensor of the estimation system is mounted on a power battery to be detected, a computing module for implementing the method is arranged inside a microprocessor, and the microprocessor is used for displaying the SOC value which is estimated at present on line, and can be connected with a CAN controller of an automobile. By adopting the method and the system, the parameters of the power battery can be identified on line; the modification increment of the variable structure filtering parameters can be adjusted in a self-adaptive fuzzy manner, the method is concise, small in calculating amount, easy to achieve, high in precision and small in dependency on SOC initial values.

The invention discloses a construction method of a bearingless permanent magnetic slice motor rotor radial displacement controller. The construction method includes that a rotary speed control composed of an inner current ring and an outer speed ring is constructed, and a torque winding air gap flux estimation module is designed with a actual direct axis of a torque winding, quadrature axis current and a permanent magnet slice rotor position angle as inputs and torque winding air gap flux amplitudes and phases as outputs; a radial displacement controller is composed of a rotor eccentric displacement and eccentric angle calculation module, a differential ahead PID (proportion integration differentiation) controller, a levitation force winding current calculation module, a CRPWM (current-regulated pulse-width modulation) inverter, a radial displacement sensor and a radial displacement calculation module; the motor rotor radial displacement controller is composed of the rotary speed controller, the radial displacement controller and the torque winding air gap flux estimation module. By the construction method, intermediate complex coordinate vector transformation is omitted, complexity of a control system and a system clock period consumed by the control algorithm are reduced, and control performance of the whole system is effectively improved.

The invention relates to a signal to noise ratio (SNR) estimation method of a physical uplink control channel (PUCCH) of a long term evolution (LTE) system. The method comprises the steps: carrying out base sequence removal on data which is de-mapped; after that, carrying out DFT (Discrete Fourier Transformation) on the data subjected to base sequence removal to separate signal vectors and noise vectors; if the data has time bias, carrying out the DFT after the time bias is compensated; meanwhile, extracting corresponding signal tap coefficient and noise tap coefficient according to the cyclic shift value. When SNR is calculated, the peak power is the sum of signal tap powers of all fourteen orthogonal frequency division multiplexing (OFDM), and the noise is the sum of noise tap powers of all fourteen orthogonal frequency division multiplexing (OFDM) symbols as well. According to the SNR calculated by this way, the sample numbers of signal powers and noise powers are more usually used for the SNR estimation than generally and merely utilizing pilot symbols for the SNR estimation, so that the estimated SNR is closer to the true value.

The invention provides a lead acid storage battery open failure test system and prediction method. The lead acid storage battery open failure test system comprises a lead acid storage battery high temperature accelerated corrosion subsystem and a lead acid storage battery normal temperature charge and discharge subsystem. The lead acid storage battery high temperature accelerated corrosion subsystem is used for performing constant floating charging to the lead acid storage battery pack under the high temperature environment and comprises a high temperature test box, a floating charging deviceand a storage battery monitoring device. The a lead acid storage battery normal temperature charge and discharge subsystem is used for performing the discharge or charge test on the lead acid storagebattery pack or the open verification storage battery under the normal temperature environment and comprises a constant current discharge load, a charging device and a high current discharge load. Compared with the systems and the methods in the prior art, the lead acid storage battery open failure test system and prediction method have the beneficial effects that the reliable service life of thelead acid storage battery before open failure caused by internal corrosion under the condition of constant floating charging under the normal temperature environment can be predicted.

The invention provides a method for estimating a state-of-health (SOH) of a battery and a device thereof. The method comprises the steps of measuring the internal resistance R of the battery; obtaining the voltage drop value deltaV of the battery according to a relational expression deltaV=R*I between the internal resistance R of the battery and the voltage drop deltaV, wherein I is a lower-limit current value which is preset in a using capacity; computing a lower-limit OCV value of the capacitance at this time according to the voltage drop deltaV; acquiring a lower-limit value SOC-1 of the SOC at this time according to a relationship table between the OCV and the SOC of the battery; and acquiring an SOH value according to a relational expression SOH=100%-SOC-1 between the SOH and the SOC-1 of the state-of-charge (SOC) of the battery at this time. According to the method for estimating the state-of-health of the battery, the SOH value is directly computed through the internal resistance of the battery. The method and the device of the invention have advantages of simple method, relatively low cost and short test time.

The invention discloses a method for estimating ultimate bearing capacity of a pile-tip-grouted over-length pile. According to the method, by overall tip resistance adjustment coefficients, ultimate side friction adjusting coefficients of an indirect reinforcing section of the over-length pile and ultimate side friction adjusting coefficients of a direct reinforcing section of the over-length pile, estimation of upright ultimate bearing capacity of a single pile-tip-grouted over-length pile can be realized. The method can be used for estimating the ultimate bearing capacity of the pile-tip-grouted over-length pile, is simple and accurate in estimation result, and has certain guiding significance for optimization design and engineering practice of the over-length pile.

The invention provides an infrared small target distance estimation method with no need of an atmospheric extinction coefficient, belongs to the technical field of photoelectric detection, and mainly solves the problem of poor accuracy and practicability existing in the conventional small target distance estimation. The method comprises the following implementation steps of: measuring irradiance E [n] of a target by using an infrared sensor; acquiring an azimuth alpha n and a pitch angle beta n of the target by using photoelectric theodolite; acquiring space coordinates (xn-1, yn-1, zn-1) of a detector by using a positioning system; determining direction cosine 1n of the target according to the azimuth alpha n and the pitch angle beta n; calculating target distance ratio rho by using target irradiances E[n-1] and E[n] at (n-1) and n adjacent sampling moments; and estimating the distance of the target. By adopting the method, the distance is estimated without the atmospheric extinctioncoefficient or priori knowledge and other restrictive conditions of the target; and the method is suitable for distance estimation of the infrared small target by a single-band infrared sensor.

The invention discloses a method for estimating the endurance of a fixed-wing solar unmanned aerial vehicle, which comprises the following steps: step 1: counting the energy production status of the solar unmanned aerial vehicle, that is, the total amount of energy production of each flying day of the solar unmanned aerial vehicle; step2: calculating the energy consumption status, that is, the energy consumption of each flying day of the aerial vehicle; step 3: estimating the flight time window under ideal conditions based on the energy balance criterion; step 4: taking into account the actual battery capacity and accurately estimating the flight time window. The method can relatively simply estimate the endurance of the solar unmanned aerial vehicle and can be applied in almost all places on the earth, and the adaptability range is very wide. The method of the invention is simple and convenient, only needs a few parameters, and is easy to be applied in engineering.

The invention relates to the field of new energy automobile electronics, in particular to a power battery SOC estimation device, and discloses a power battery SOC estimation method which is on the basis of extended Kalman filter and combines an ampere-hour integral method and an open-circuit voltage method. Through dynamically correcting observation errors and real-time capacities, the power battery estimation precision is further improved. By adoption of the algorithm, the power battery SOC estimation device has favorable accumulated error and initial error correction ability and is capable of correctly estimating the remaining capacities of the power batteries.

The invention discloses a parallel alternate sampling system error estimation method based on rotation matrixes. The parallel alternate sampling system error estimation method based on the rotation matrixes comprises the following steps that (1) initial parameters are input and set; (2) training samples are built, wherein sampling sequences of M A/D conversion chips in the time quantum t are obtained, fast Fourier transform is carried out on the sampling sequences to enable the sampling sequences to be in the frequency domain, M training samples are correspondingly obtained, and a training sample set is formed by the M training samples; (3) error estimation is carried out, wherein error estimation is carried out by using a data processor and the built training sample set, and according to the process of error estimation, selection of double frequency points, covariance matrix estimation, characteristic decomposition, extraction of large characteristic values and characteristic vectors corresponding to the large characteristic values, and time-base error estimation are carried out. The parallel alternate sampling system error estimation method based on the rotation matrixes has the advantages of being small in number of the steps, reasonable in design, convenient to implement, good in using effect, and capable of effectively overcoming the defects that according to an existing parallel alternate sampling system error estimation method, the estimation process is complex, repeated iteration is needed, convergence cannot be easily carried out, the calculated amount is large, and the local minimum point can be easily generated.

The invention discloses a noninvasive blood glucose detecting system and a noninvasive blood glucose detecting method. The noninvasive blood glucose detecting system comprises an optical sensing module and a calculating-analyzing module, wherein the optical sensing module comprises a light source, a light-splitting device, a slit assembly, a detection region and a photosensitive sensor; the slit assembly comprises a slit plate and a moving device, a group of crevices for light to pass through are formed in the slit plate, and the moving device moves to enable light to pass through different crevices; the detection region is used for reflecting light to the photosensitive sensor; the optical sensing module is used for acquiring comparison light information and detection light information; the photosensitive sensor is used for converting a light signal into an electric signal and sending the electric signal to the calculating-analyzing module; the calculating-analyzing module comprises adata processing module and a data comparison module; the data processing module is used for processing the comparison light information, establishing a spectrum information base and processing the detection light information into the independent spectrum information; and the data comparison module is used for carrying out integrating degree comparison on the independent spectrum information and the spectrum information base, so as to acquire an estimated blood glucose value of the detection light information.

The invention discloses an SOC estimation method, device and system, and the method comprises the steps: carrying out the SOC estimation based on the pressure data of a battery pack when the current voltage of the battery pack is in a platform voltage interval, comprising the following steps: extracting historical pressure data and historical platform SOC data when the voltage of the battery pack is in a corresponding platform voltage interval in the last charging/discharging process, and constructing a corresponding mapping model; collecting pressure data of the battery pack in the current charging/discharging process to obtain estimated point pressure data; and based on the mapping model, generating an SOC estimation value corresponding to the estimation point pressure data. The SOC state corresponding to the pressure data is estimated through the mapping relation between the pressure data and the SOC state, the precision requirement of the voltage detection device is reduced on the premise that the precision of the estimation result is guaranteed, the estimation method is simplified, and the cost is effectively reduced.

A method and apparatus for inserting dummy sequences during data modulation in a communication system, according to channel status, link status, and the like, is disclosed. In one embodiment, a method for data modulation by a wireless communication node of a wireless communication system, includes: inserting at least one first dummy sequence to a first data sequence in a first data block; and inserting at least one second dummy sequence to a second data sequence in a second data block; wherein a first length of a first dummy sequence is different from a second length of a second dummy sequence, and wherein the second dummy sequence includes the first dummy sequence or is included in the first dummy sequence.