2197 results about "Open-circuit voltage" patented technology

The invention discloses a self-assembled monomolecular layer hole transport material, a hole transport layer and a battery thereof. According to the present invention, the compound having different anchoring groups and represented by the formula (I) can be subjected to firm self-assembly with the substrate surface through the chemical bonding manner, such that the good coverage rate is provided, the film forming quality is increased, and the transmission performance is improved; and meanwhile, the material has a rigid conjugate large-plane condensed ring core structure, so that the hole transmission performance of the material is ensured, and the photovoltaic performance is favorably improved. When the material is applied to a perovskite solar cell to prepare a hole transport layer, the hole extraction capability can be enhanced, and the open-circuit voltage, the filling factor and the photoelectric conversion efficiency of a device can be improved.

The invention provides a lithium ion battery health state estimation method and system based on an electrochemical model, and relates to the technical field of battery health state estimation, and the method specifically comprises the steps: collecting key parameters of a lithium ion battery in real time, and calculating an open-circuit voltage through an electrochemical reaction kinetic formula; calculating a health index, calculating a temperature influence index according to a set optimal working temperature and a current working environment temperature mean value, and calculating an internal resistance influence index according to the battery capacity, the cycle index and the internal resistance data of the lithium ion battery; calculating a battery health score for reflecting the health state of the lithium ion battery to be tested according to the health index, the temperature influence index and the internal resistance influence index; and comparing the battery health score with a preset health assessment threshold, and assessing the health state of the lithium ion battery according to the comparison result, thereby providing a scientific battery health assessment mechanism.

The present invention relates to the technical field of lithium battery state estimation, and in particular to a fuzzy EKF-AH algorithm-based state of charge (SOC) estimation and correction method for a lithium iron phosphate battery. The method comprises: by taking a certain startup of an energy storage device as a start, a BMS reading an SOC and a state of health (SOH) at the previous shutdown, and on the basis of a standby time, selecting an open circuit voltage (OCV) or an EKF algorithm to correct the SOC; using an EKF-AH algorithm to estimate the SOC, establishing, on the basis of fuzzy control, a fuzzy rule library associated with the SOC and the SOH, and dynamically adjusting a weight and a measurement noise deviation of the EKF-AH algorithm; and calculating estimation differences between the EKF algorithm and an ampere-hour integration method, and if the sum of the estimation differences is greater than a corresponding threshold, issuing an SOH correction warning. The present invention improves the estimation accuracy of the entire life cycle of the lithium iron phosphate battery, and assists the correction of the SOH.

The invention discloses a lithium battery state estimation method based on relaxation time scale modeling, and the method comprises the steps: 1, carrying out a sudden pulse charging test on a lithium battery, collecting voltage and current data, and calculating the open-circuit voltage, direct-current internal resistance and a time-domain impedance sequence of the lithium battery; and 2, converting the time domain impedance sequence of the lithium battery into a frequency domain impedance sequence after discrete Fourier transform, establishing a fitting equation set of a distribution function of the relaxation time scale DRT of the lithium battery and the frequency domain impedance sequence, and solving by adopting a regularized least square method. And 3, taking the solved DRT model distribution function as the input of a neural network, taking the state parameters of the lithium battery as the output of the neural network, and establishing a prediction model of the state parameters of the lithium battery. According to the method, EIS test required by traditional relaxation time scale modeling is avoided, the control complexity and design cost of test acquisition equipment are effectively reduced, and the method can be effectively applied to occasions such as battery life prediction, battery classification and screening, battery echelon utilization and the like.

The invention discloses a method for testing polarization and decoupling of a flow battery. The method aims to quantify and separate three phenomena of ohmic polarization, activation polarization and concentration polarization in the flow battery. Comprising the following steps: firstly, carrying out electrochemical impedance spectroscopy testing under open-circuit voltage and different working currents respectively to obtain ohmic resistance and charge transfer resistance, and carrying out integral calculation to obtain ohmic polarization and activated polarization; then, carrying out a step type constant current charging test to obtain a total polarization curve; and finally, subtracting the ohmic polarization and the activation polarization from the total polarization to obtain concentration polarization. The method is simple and convenient to operate and suitable for various types of flow batteries, a novel and effective solution is provided for polarization analysis of the flow batteries, an accurate test basis can be provided for optimization of battery design, and improvement of performance optimization and research level of the flow batteries is facilitated.

The invention discloses a sodium ion battery SOC estimation method based on extended Kalman filtering. The method comprises the following steps: acquiring charging and discharging voltage, current and open-circuit voltage OCV data of a sodium battery through an HPPC test and a capacity test; and fitting a function relationship between the OCV and the SOC based on the standing balanced voltage data. And constructing a three-order RC equivalent circuit model, and identifying ohmic resistance, polarization resistance and polarization capacitance parameters in the model through curve fitting. Based on the model, a state vector containing SOC and polarization voltage is defined, and a nonlinear state equation and a terminal voltage observation equation are established. And predicting the state vector and the covariance matrix at the current moment according to the state vector and the covariance matrix at the previous moment by using an extended Kalman filtering algorithm, calculating Kalman gain by combining the actually measured terminal voltage, correcting the prediction result, and updating the SOC estimation value. And through loop iteration, real-time high-precision dynamic estimation of the SOC of the sodium-ion battery is realized. The method provides an efficient and accurate SOC estimation solution for a sodium ion battery management system.

The invention relates to the field of photovoltaic technology, in particular to a solar cell, a photovoltaic module and a preparation method of the solar cell, the solar cell comprises a substrate, the substrate comprises a first surface and a second surface, the first surface comprises a first area and a second area, and the second surface comprises a third area and a fourth area, the first diffusion layer is located on the first area or located in the substrate corresponding to the first area, the first diffusion layer is opposite to the substrate in conductive type, the second diffusion layer is located in the substrate corresponding to the third area, the second diffusion layer is opposite to the first diffusion layer in conductive type, and the first passivation layer is located on the third area and the fourth area. The first passivation layer covers the second diffusion layer and is in contact with the substrate, the first electrode electrically connected with the first diffusion layer is arranged on the first area, the second electrode electrically connected with the second diffusion layer is arranged on the third area, and the open-circuit voltage and the short-circuit current of the solar cell are improved through the design, and the photoelectric conversion efficiency is improved.

The invention relates to the technical field of power batteries, in particular to a power battery pack health state detection method and system. The power battery pack health state detection method comprises the following steps: acquiring open-circuit voltage change data and terminal voltage fluctuation data of a battery under micro current pulse excitation, recording a change curve of voltage along with time through high-precision time sequence acquisition equipment, and obtaining an initial data set of voltage dynamic response; acquiring magnetic field intensity distribution and magnetic field gradient change data of the surface of the battery in a weak alternating magnetic field, and acquiring spatial magnetic field information through a magnetic sensor array to obtain a three-dimensional distribution diagram reflecting magnetic field nonuniformity; through a three-dimensional distribution diagram of magnetic field intensity distribution and magnetic field gradient change, a defect detection algorithm is adopted to analyze a mapping relation between magnetic field non-uniformity and internal micro cracks, and correlation distribution of defect positions and internal resistance growth rates is determined.

The invention discloses a first-order ECM-based parameter and SOC joint estimation method and system, and the method comprises the steps: constructing a first-order RC equivalent circuit model, and constructing a state-space equation of a lithium ion battery based on the first-order RC equivalent circuit model; corresponding open-circuit voltage OCV values under different SOCs are collected according to an HPPC experiment, and the OCV values are fitted to obtain an OCV-SOC relation curve; constructing a state-space equation based on model parameters, performing parameter identification on the model by using a Kalman filtering algorithm optimized based on a suburb wolf algorithm, and calculating a terminal voltage value through an identification result to verify the identification precision; updating a state-space equation related to the SOC based on a parameter identification result; and on the basis of the state-space equation, rapid convergence from the SOC estimated value to the SOC actual value is realized by using a self-adaptive Kalman filtering algorithm based on an innovation matrix. The method is high in estimation precision.

The invention relates to the technical field of performance testing, in particular to an electrochemical performance testing system and method for an energy storage device, and the system comprises a time synchronization triggering module, an impedance track acquisition module, a degradation state recognition module, an electrochemical abnormity monitoring module and a performance testing judgment module. According to the invention, multi-channel concurrent synchronous acquisition of voltage, current, impedance and temperature is realized by calculating sampling delay compensation time, and lithium precipitation, micro short circuit and electrode interface damage trend can be accurately identified by calculating a gradient absolute difference sequence of a voltage change rate and a current change rate and linking an impedance abrupt change rate and short-period abnormal fluctuation. In the process of judging the state of the energy storage device, open-circuit voltage distribution, charging and discharging current stability and impedance change trend are considered in a combined manner, the recognition accuracy of an active state, a degradation state and an abnormal state is improved, and the precision and reliability of electrochemical performance testing are improved.

The invention relates to a lithium battery state-of-charge and state-of-health joint estimation method, and belongs to the technical field of lithium ion batteries. The method comprises the following steps: performing a cyclic aging experiment on a battery under a cyclic working condition; an open-circuit voltage curve is extracted through data analysis, a first-order equivalent circuit model is selected to construct a circuit, and a state equation is written; carrying out parameter identification by adopting a multi-forgetting factor recursive least square algorithm, and constructing an SOC estimator of an unscented Kalman filter based on a state equation and an observation equation to carry out SOC estimation; constructing an SOH estimation observer based on an extended Kalman filter, and estimating the SOH by using the estimated SOC; carrying out segmented dynamic identification on the open-circuit voltage curve by adopting an average moving method in combination with recursive least squares; and coupling the SOC estimator and the SOH estimator, and realizing SOC and SOH joint online estimation by applying the dynamically identified open-circuit voltage curve.

An SOC adaptive correction and estimation method for a lithium iron phosphate cell, which method relates to the field of lithium batteries. The specific implementation solution involves: establishing an offline open-circuit voltage (OCV) curve, and obtaining state parameters of a lithium iron phosphate cell by means of an HPPC test; calculating an average electromotive force VEMF of a battery model on the basis of a third-order RC model and the state parameters of the lithium iron phosphate cell; and acquiring a voltage deviation dv on the basis of the average electromotive force VEMF of the battery model, and a standard electromotive force VEMF_lut of the battery model that is obtained by using a current SOC to perform table lookup on an average EMF curve, setting an adaptive correction starting threshold dvthreshold, and determining whether SOC correction needs to be performed. On the basis of a method combining a third-order equivalent circuit model and ampere-hour integration, real-time high-precision estimation can be performed for the SOC of a battery pack, SOC adaptive correction is performed under a relatively large error, and an SOC correction threshold and an SOC correction speed are adaptively adjusted on the basis of different working conditions and battery states.

The invention discloses a method for passivating a perovskite solar cell by using diphenylamine ammonium salt and a derivative thereof, and belongs to the technical field of perovskite solar cells. According to the method, diphenylamine ammonium salt and a derivative thereof are introduced as an interface modification layer of perovskite through a solution spin-coating process, so that in-situ passivation is realized. The diphenylamino ammonium salt and the derivative thereof can effectively reduce surface defects of perovskite, passivate uncoordinated lead ions, supplement iodine vacancies, significantly reduce non-radiative recombination of a perovskite layer and promote charge extraction by virtue of unique properties of the diphenylamino ammonium salt and the derivative thereof, so that the open-circuit voltage and fill factors of the perovskite solar cell are improved. Meanwhile, large-volume ammonium cations can be gathered on a crystal boundary, so that the defect of the crystal boundary is filled, and ion migration is inhibited. In addition, after passivation, moisture can be effectively prevented from invading the three-dimensional perovskite structure, and the humidity stability and the storage stability of a cell device are remarkably improved. The invention aims at improving the photoelectric conversion efficiency of the perovskite solar cell and realizing the long-term stability of the device performance.

The invention discloses a passivation contact cell with a selective polysilicon layer and a method of making the same. According to the invention, each laser scanning line on the back surface of the TOPCon solar cell adopts a separation form and is separated by the phosphorus heavily-doped polycrystalline silicon layer, so that overlapping of laser scanning paths does not exist, and a part of the phosphorus-doped polycrystalline silicon layer structure in the surrounding area of the main grid is reserved; according to the structure mode, the transmission distance of carriers in a laser ablation area can be reduced, the carriers can be collected by the fine grid more quickly, and the filling factor FF of the cell is improved especially under the special conditions of grid breakage and the like. According to the invention, the laser grooving area is 40%-80% of the total area of the back of the cell, which is beneficial for balancing the passivation performance of the cell while reducing the parasitic absorption of the polycrystalline silicon to light. The passivation contact cell has high short-circuit current, open-circuit voltage and fill factor.

The invention provides a lithium battery internal short circuit diagnosis method based on interpretable machine learning, and the method comprises the steps: collecting voltage, current and time data of a battery in a constant-current charging process under different internal short circuit degrees, and building an experiment data set; preprocessing and filtering the voltage data, calculating the ratio of the voltage increment to the capacity increment, and obtaining the IC curve characteristics of the capacity increment; extracting a battery state-of-charge-open-circuit voltage relationship, and establishing a battery equivalent circuit model for a constant current stage; estimating the state of charge of the battery through an extended Kalman filtering algorithm and battery charging data; extracting characteristic parameters from the IC curve, wherein the characteristic parameters comprise a peak value, a peak position and an area between peaks; time sequence features are extracted based on a state of charge estimation result, and a multi-dimensional feature space is constructed; carrying out standardization processing on the extracted features, and constructing a classification model; and a Shapril additive feature interpretation method is introduced to realize interpretability analysis of a classification model decision process.

The invention relates to the technical field of electric vehicle charging, in particular to a flexible actor commentator fast charging method based on an electrothermal aging coupling model, and the method comprises the steps: building an electrothermal aging coupling model of a battery; acquiring the temperature, the terminal voltage and the terminal current of the load at the t moment; a relational expression of the state of charge and the open-circuit voltage of the battery is determined through formula fitting; respectively identifying an electric model parameter, a thermal model parameter and an aging model parameter by adopting a recursive least square method and a genetic algorithm; determining an optimal charging strategy by using a flexible actor commentator algorithm; carrying out simulation verification on the optimal charging strategy by using PyBaMM; according to the method, multiple factors influencing the charging safety of the vehicle lithium ion power battery are analyzed in a multi-dimensional mode, the electric heating aging coupling model considering aging is established, and the dynamic behavior of the battery in the charging process is accurately described and predicted; and the safety and robustness of the flexible actor commentator fast charging method based on the electrothermal aging coupling model are improved.

The invention discloses a laminated solar cell and a preparation method thereof, the laminated solar cell comprises a bottom cell, a top cell and a tunneling composite layer located between the bottom cell and the top cell, the tunneling composite layer comprises multiple sub tunneling layers, and the multiple sub tunneling layers have different work functions. According to the laminated solar cell structure, a multi-layer tunneling composite layer structure with different work function combinations is formed between the bottom cell and the top cell, so that a composite barrier of carriers between the top cell and the bottom cell is slowed down, and effective recombination of the carriers is promoted; the open-circuit voltage, the short-circuit current density and the photoelectric conversion efficiency of the laminated solar cell are effectively improved, and the problem that the open-circuit voltage, the short-circuit current density and the photoelectric conversion efficiency are low due to the fact that the laminated solar cell adopts a single tunneling composite layer in the prior art is solved.

The invention discloses a dimeric electron acceptor, which has one of the following structural formula: # imgabs0 #, in which R1 and R2 are respectively and independently selected from C1-C100 alkyl groups; x comprises H, F, Cl, I, NO2 or CN. According to the dimeric electron acceptor, a 3, 4-ethylenedioxythiophene or 3, 4-dimethoxythiophene unit serves as a connecting unit, an alkoxy side chain is connected to an outer side chain, the open-circuit voltage Voc of a solar cell device with the dimeric electron acceptor as an acceptor material can reach 1.02 V, the energy conversion efficiency PCE is 15.1%, and the dimeric electron acceptor is Vocgt reported at present; and the maximum value of PCE in a dimer acceptor system of 1V. The invention also provides a preparation method of the dimer electron acceptor and an organic photovoltaic device containing the dimer electron acceptor.

The invention provides a three-junction quantum well solar cell epitaxial structure and a manufacturing method thereof, the three-junction quantum well solar cell epitaxial structure comprises a substrate serving as a first sub-cell, a first tunnel junction, a second sub-cell, a second tunnel junction and a third sub-cell which are sequentially stacked from bottom to top, and the three sub-cells are connected through the tunnel junctions; wherein the first sub-cell is a Ge cell, the second sub-cell is an InGaAs cell, the third sub-cell is a GaInP / AlGaInP quantum well cell, the third sub-cell comprises a (Al < x > 1 < Ga < 1-x > 1 < y > 1 < In < 1-y > 1 < P) back field layer, a quantum well base region, a (Al < x > 4 < Ga < 1-x > 4 < y > 4 < In < 1-y > 4 < P) emitter region and an Al < x > 5 < In < 1-y > 5 window layer which are sequentially stacked from bottom to top, the quantum well base region is composed of a Ga < x > 2 < In < 1-x > 2 layer and a (Al < x > 3 < Ga < 1-x > 3 < y > 3 < In < 1 x is larger than or equal to 0.5 and smaller than or equal to 0.8, y is larger than or equal to 0.5 and smaller than or equal to 0.8, y is equal to 0.5, the GaInP / AlGaInP quantum well structure is used for replacing a traditional AlGaInP material to serve as a top cell material, the open-circuit voltage of the solar cell is increased, and meanwhile the defect that the short-circuit current of the AlGaInP / GaAs / Ge solar cell is insufficient is overcome.

The invention discloses a power battery box positioning and monitoring method based on low power consumption application, relates to the technical field of battery box positioning and monitoring, and is used for solving the problem of high power consumption in a power battery box monitoring process. According to the method, the battery remaining capacity is calculated through voltage, current and temperature data, temperature compensation and open-circuit voltage correction are combined, high-reliability electric quantity characteristics are constructed, the motion state is detected according to the three-axis acceleration sensor, the charge level, the environmental risk and the moving event are fused to generate a dynamic decision vector, and the geographical fence range is intelligently adjusted. A monitoring area is expanded when the electric quantity is high, a safety core area is contracted when the electric quantity is low, a global positioning technology or an indoor positioning technology is automatically switched based on indoor and outdoor scenes, invalid positioning energy consumption is reduced through a mobile triggering mechanism, a positioning state is analyzed in real time, a graded response signal is generated, and redundant positioning is started under abnormal conditions to guarantee monitoring continuity. And the balance of full-period safety protection and low-power-consumption operation of the power battery box is realized, and the cruising ability is improved.

The invention belongs to the technical field of back contact photovoltaic cells, and particularly relates to a back contact photovoltaic cell with high-concentration co-doped regions and a manufacturing method and application thereof.The back contact photovoltaic cell with the high-concentration co-doped regions is characterized in that N-type doped regions and P-type doped regions which are alternately distributed are arranged on the backlight face of an intrinsic amorphous silicon layer, and the high-concentration co-doped regions are arranged between the N-type doped regions and the P-type doped regions; a doping source of the co-doped region comprises doping source phosphorus of the N-type doped region and doping source boron of the P-type doped region, the co-doped region, the doping source of the N-type doped region and the doping source of the P-type doped region form a specific concentration gradient structure, and the specific concentration gradient structure meets the condition that the doping concentration of phosphorus contained in the co-doped region is greater than that of phosphorus contained in the N-type doped region; the doping concentration of boron contained in the co-doped region is greater than the doping concentration of boron in the P-type doped region. The carrier transport and collection efficiency is optimized, the fill factor and open-circuit voltage are improved, the cell conversion efficiency and stability are improved, the preparation process is simple, and multiple times of opening etching are not needed.

The invention discloses a trimethoxy-substituted PTAA copolymer as well as a preparation method and application thereof. The structural formula of the trimethoxy-substituted PTAA copolymer is shown as a formula (I), the perovskite solar cell prepared from the trimethoxy-substituted PTAA copolymer disclosed by the invention has relatively high open-circuit voltage, and the energy conversion efficiency of the perovskite solar cell is effectively improved.

A computer-implemented method comprises obtaining (202) a plurality of open circuit voltage curves of a battery (150) at a plurality of predefined charge cycles of the battery. Each of the open circuit voltage curves is indicative of an open circuit voltage over a predetermined charge range of the corresponding charge cycle. The method further comprises fitting (204) parameters of a model of the battery based on the plurality of open circuit voltage curves. The parameters include electrode parameters that model a corresponding open circuit electrode potential for each electrode of the battery.

The invention provides a photovoltaic air conditioner and a control method thereof, and the photovoltaic air conditioner is configured as follows: when a photovoltaic module supplies power to the photovoltaic air conditioner and the photovoltaic air conditioner operates in a stable environment, an open-circuit voltage is obtained; when the open-circuit voltage does not exceed the maximum allowable input voltage, obtaining the maximum power point voltage and the photovoltaic output voltage; when the maximum power point voltage exceeds the minimum allowable input voltage, or the maximum power point voltage does not exceed the minimum allowable input voltage and the open-circuit voltage exceeds the minimum allowable input voltage, the compressor is controlled to increase the operation frequency according to the first preset frequency, and when the maximum operation frequency is not reached, the compressor is controlled to increase the operation frequency according to the first preset frequency; according to the photovoltaic output voltage, the compressor is controlled to increase the operation frequency according to the second preset frequency until the power of the maximum power point of the photovoltaic air conditioner is larger than or equal to the maximum consumption power, and the risks that the working point of the photovoltaic air conditioner is out of control and the photovoltaic air conditioner cannot work normally are prevented; and the photovoltaic air conditioner can stably operate within a certain power range.

The invention discloses a decommissioned battery virtual high capacity scoring and screening method and system, relates to the technical field of battery detection and evaluation, and aims to solve the problem that decommissioned battery virtual high capacity identification is difficult, and the method comprises the following steps: S1, performing discharge operation on a battery and standing, and monitoring an open-circuit voltage in a standing process in real time to obtain a voltage recovery curve; s2, extracting a multi-modal dynamic feature from the voltage recovery curve, wherein the multi-modal dynamic feature comprises a voltage recovery time constant and a curve fitting residual error; s3, performing weighted fusion on the multi-modal dynamic features and outputting a standardized score value to obtain a health score; and S4, comparing the health score with a preset threshold value, and outputting a virtual high-capacity risk grade screening result.

The invention relates to the technical field of battery management, and discloses a screening method for echelon utilization of decommissioned batteries, which comprises the following steps: step 1, preliminary sorting: carrying out appearance image acquisition on the decommissioned batteries through an industrial camera, carrying out graying processing on the images by using an image processing algorithm, enhancing edge features, removing the batteries with cracks, bumps or leaks, and meanwhile, carrying out preliminary sorting on the decommissioned batteries; scanning the bar codes to obtain model information of the batteries, and classifying and grouping the batteries according to a model database; and 2, performance detection: carrying out performance test on the preliminarily sorted batteries, and measuring the open-circuit voltage of the batteries to calculate the residual capacity. Through double guarantee of thermal runaway monitoring and gas leakage detection, the temperature gradient change and gas leakage condition of the battery are monitored in real time, an isolation mechanism is automatically triggered in combination with a safety threshold value, accurate recognition and isolation of the high-risk battery are achieved, and the effects of remarkably improving the safety of the screening process and preventing and controlling accident risks are achieved.

The invention relates to a photovoltaic cell preparation method, a photovoltaic cell, a laminated cell and a photovoltaic cell module. Providing an initial battery piece; depositing and forming a protective layer on the surface; carrying out laser treatment twice; printing and sintering to form an electrode; and carrying out at least two times of laser-assisted sintering on the electrode. According to the photovoltaic cell preparation method, the protection layer at the first area is removed, the doping concentration at the first area is improved, and at least two times of laser-assisted sintering are combined, so that on one hand, the metal contact area is optimized, the usage amount of silver paste is reduced, the material cost is reduced, and meanwhile, paste contact sintering is enhanced; damage caused by laser grooving doping is removed; and on the other hand, the doping concentration is optimized, the contact resistance is remarkably reduced, the open-circuit voltage and the filling factor are favorably improved, the shading loss is reduced, and the current collection efficiency is ensured, so that the photoelectric conversion efficiency and the reliability of the cell are remarkably improved, the production process is simplified, and the production cost is reduced.

The invention provides a device-level thermoelectric effect parameter identification method and system based on a least square method. The function relation between thermoelectric effect parameters and the temperature of the hot end and the cold end of a thermoelectric device can be obtained. According to the method, dominant parameters of a working thermoelectric device are collected and measured, wherein the dominant parameters comprise the open-circuit voltage, the cold and hot end temperature, the cooling medium inlet and outlet temperature and the sizes of the thermoelectric device and thermoelectric particles; and under various temperature conditions, the dominant parameters are utilized to calculate thermoelectric effect parameters of the thermoelectric device. And for each thermoelectric effect parameter, constructing a function relationship between the thermoelectric effect parameter and the temperature of the hot end and the cold end by using a least square method, and completing identification of the device-level thermoelectric effect parameter. According to the method, macroscopic fitting of thermoelectric effect parameters is realized, and the precision of a simulation model is improved and the calculation time of the model is shortened by accurately identifying the thermoelectric effect parameters of a main component, namely a thermoelectric device, in the thermoelectric power generation system.

The invention provides a state of charge estimation method, electronic equipment, a storage medium and a program product, which are applied to a battery system of a pure electric heavy truck. The method comprises the following steps: acquiring current temperatures, open-circuit voltages and current currents of a plurality of single batteries of a battery pack in a battery system, and a working mode of a battery box; aiming at each single battery, according to the current temperature and the open-circuit voltage, respectively determining a state-of-charge initial value and available capacity from a first mapping table and a second mapping table; according to the current, the state-of-charge initial value and the available capacity, determining a state-of-charge target value of the single battery; determining a first charge state estimated value of the battery pack according to the charge state target values of all the single batteries; and based on the working mode and a preset correction requirement, carrying out correction processing on the first charge state estimation value to obtain a second charge state estimation value of the battery pack. According to the invention, the battery system management efficiency of the pure electric heavy truck is optimized by improving the precision and adaptability of SOC estimation.

The invention discloses an SOH calibration method, device, equipment and medium, which are applied to the field of energy storage, and the method comprises the steps: monitoring the open-circuit voltage and current of a battery, recording the current time as the first time when the open-circuit voltage reaches a full-charge linear interval or a full-discharge linear interval, and obtaining the chargeable and dischargeable capacity of the battery at the current temperature; based on the open-circuit voltage corresponding to the first time, determining the current state of charge of the battery; based on the chargeable and dischargeable capacity and the charge state, the theoretical chargeable and dischargeable capacity of the battery is determined; when the open-circuit voltage reaches a full charge state or a full discharge state, recording the current time as second time, and performing time integration on the current of the battery from the first time to the second time to obtain the actual charge and discharge quantity of the battery; and determining the first SOH of the battery according to the actual charge and discharge quantity and the theoretical chargeable and dischargeable quantity. Therefore, the SOH of the current energy storage system can be quickly calibrated.