673 results about "Open-circuit voltage" patented technology

The invention relates to the technical field of battery management, and particularly discloses a dynamic control method for an intelligent balance management system of a lithium battery module, which comprises the following steps of: acquiring load current of the battery module and end voltage signals of each monomer in real time; calculating instantaneous internal resistance and polarization voltage parameters of each single battery in real time; the terminal voltage is compensated in real time, and a purified open-circuit voltage signal is generated; fusing the charge state reference value with the current integral result, dynamically calculating a confidence index according to a current standing condition and voltage stability so as to perform adaptive weighting, and outputting a smooth charge state estimation value; calculating a balance urgency degree index by combining the estimated value, the real-time temperature and the inconsistency change trend, and generating a differentiated balance control instruction; an energy transfer path is established and controlled according to the instruction, the rate is dynamically adjusted in the process, and operation is terminated when the duration or state consistency condition is met; according to the method, the stability of state estimation and the accuracy, safety and efficiency of balance control under the dynamic working condition are improved.

A processor of a battery apparatus estimates an internal resistance of a battery at a reference temperature based on a measured voltage of the battery, a measured current of the battery, an open circuit voltage of the battery, and a measured temperature of the battery, and estimates a resistance state of the battery based on the estimated internal resistance and a beginning of life (BOL) resistance at the reference temperature when the battery is in a BOL state.

The invention discloses a dynamic reconfigurable battery energy storage system active equalization method and device based on open-circuit voltage detection, and belongs to the technical field of battery energy storage systems. Open-circuit voltage data of all single batteries are collected in real time in a high-precision mode, battery states are dynamically grouped through an improved K-means clustering algorithm, circuit topology is flexibly adjusted through a reconfigurable switch array, and energy priority transfer between groups is achieved. Multi-step shortest path control is adopted in the equalization process, and high-efficiency charge adjustment is achieved; the system is provided with a self-adaptive monitoring mechanism, balancing is automatically stopped when the single voltage difference converges to a set threshold value, and key data are filed. The method can also automatically detect and isolate abnormal single batteries, improves the safety and reliability of the system, is suitable for a multi-scale energy storage scene, and has the advantages of high equalization speed, high precision, strong adaptability and the like.

The invention provides a battery charging control method and device, a medium and a product, and relates to the technical field of battery management, and the method comprises the steps: collecting the voltage, current and temperature of a target cell in a constant current charging stage, and calculating the dynamic DC internal resistance and internal resistance growth rate. And determining a basic lithium precipitation boundary voltage according to the temperature, and correcting by using an internal resistance growth rate to obtain a lithium precipitation upper-limit terminal voltage value. And determining a current open-circuit voltage value by looking up a table based on the charge state, the temperature and the internal resistance growth rate. And calculating the maximum charging current value by combining the lithium precipitation upper limit terminal voltage value, the current open-circuit voltage value and the dynamic direct-current internal resistance value. And when the real-time charging current is greater than the maximum charging current, calculating a difference value as an adjusting current value, and converting the adjusting current value into a PWM signal to drive the target bypass shunt circuit to shunt. According to the scheme, the technical problem that an existing charging control strategy is difficult to adapt to physical characteristic changes in the whole life cycle of the battery is solved.

The invention provides an insulation detection method and device of a photovoltaic system, a controller and the photovoltaic system. The method comprises the following steps: detecting whether the photovoltaic system has an insulation fault; if the photovoltaic system has the insulation fault, determining the position of the insulation fault in the fault photovoltaic string according to the ratio of the voltage to ground of the first pole of the photovoltaic system to the open-circuit voltage of the photovoltaic string; the first electrode is any one of a direct-current bus positive electrode and a direct-current bus negative electrode; and respectively and independently controlling the positive and negative electrodes of the input end of each direct current conversion circuit to be short-circuited, and for each MPPT module, determining whether the insulation fault position is located in the MPPT module based on the change of the voltage to ground of the first electrode before and after the short circuit of the MPPT module. According to the photovoltaic system insulation fault detection method and the photovoltaic system insulation fault detection device, insulation faults from a system level to a component level can be spanned, additional devices are not needed, manpower, time and economic cost required by field troubleshooting is reduced, and the detection efficiency of the photovoltaic system insulation faults is improved.

The invention discloses a secondary battery charging method based on SOC optimization, and belongs to the technical field of secondary battery charging, and the method comprises the steps: collecting and preprocessing battery pack data, determining historical charging and discharging state marks, and extracting a dynamic polarization time constant and dynamic polarization resistance; superposing a lag correction compensation amount on a preset open-circuit voltage-state-of-charge mapping curve, and determining an initial state of charge; outputting a real-time charge state by using an extended Kalman filtering algorithm model; a recursive least square method with a forgetting factor is adopted to update the capacity reference of the real-time charge state, and a corrected charge state is obtained; calculating a negative electrode surface potential estimation value through a negative electrode potential estimation model based on a single-particle model architecture; and judging to output a maximum allowable charging current instruction and a current limit value dynamic adjusting instruction. According to the method, SOC estimation is accurately optimized, battery aging is adapted, the lithium precipitation risk is evaluated in a mechanism level, dynamic adjustment of the charging current is achieved, and the charging efficiency and the cycle life of the secondary battery are both considered.

The invention relates to the technical field of battery management systems, and discloses a lithium battery SOC estimation method based on model predictive control and dynamic parameter calibration, and the method comprises the steps: constructing a second-order RC equivalent circuit model of a lithium battery, and obtaining a nonlinear function relation between an open-circuit voltage and a state of charge; real-time current and voltage data are collected, model parameters are identified on line through a recursive least square method with a forgetting factor, and dynamic calibration of the parameters is achieved; constructing a discrete state space prediction model based on the identified parameters; and solving an optimal control sequence through rolling optimization under a constraint condition by utilizing a model prediction control algorithm, and calculating a state-of-charge estimation value of the lithium battery in combination with feedback correction. According to the method, on-line parameter identification and model prediction control are combined, the problem of model mismatch under battery parameter time varying and dynamic working conditions is effectively solved, and the precision and robustness of lithium battery SOC estimation are improved.

The invention relates to a back contact battery, a manufacturing method thereof and a photovoltaic module. The back contact battery comprises a substrate which comprises a first surface and a second surface which are oppositely arranged, and a side surface which is connected with the first surface and the second surface; the first surface is provided with first regions and second regions which are alternately arranged, and the conduction types of the first regions and the second regions are different; the first region comprises a tunneling layer, a first semiconductor doping layer and a first transparent conducting layer which are sequentially arranged away from the substrate; the second region comprises an amorphous silicon layer, a second semiconductor doping layer and a second transparent conducting layer which are sequentially arranged in the direction away from the substrate; the side surface comprises a first passivation layer and a second passivation layer which are sequentially arranged away from the substrate, and the first passivation layer is connected with the first semiconductor doping layer and makes contact with the first semiconductor doping layer. The carrier recombination of the side surface is effectively improved, the passivation effect of the side surface is improved, the open-circuit voltage, the filling factor and the photoelectric conversion efficiency of the back contact battery are further improved, and the power generation performance of the back contact battery is improved.

The invention belongs to the technical field of renewable resource utilization and new energy, and relates to a wood-based water photovoltaic power generation material and a preparation method and application thereof.The wood-based water photovoltaic power generation material is prepared by taking natural wood as a raw material, performing chemical modification treatment and combining directional freeze drying and salting-out treatment. The wood-based water photovoltaic power generation material with relatively good mechanical strength is prepared by using the wood-based material as a raw material, the wood-based material has a highly-oriented porous structure, and under the conditions of 25 DEG C, standard atmospheric pressure and relative air humidity RH 30%, a 200-mesh copper mesh is used as an electrode, and the open-circuit voltage of a nano power generation device obtained by assembling in deionized water reaches 110 mV, and the short-circuit circuit reaches 0.74 mA. The material is simple in preparation process and wide in application scene, adopts natural high polymer materials as raw materials, has the environment-friendly advantages of reproducibility and biodegradability, and has a wide application prospect in the field of new energy materials.

The invention discloses a load control method and system for mobile energy storage equipment, a medium and a product, and the method comprises the steps: obtaining the motion state data and environment state data of target mobile energy storage equipment; performing second-order differential operation on the real-time speed to obtain a jerk value; generating a power demand impact sequence; based on the real-time polarization impedance and the real-time open-circuit voltage, calculating a maximum pulse discharge power threshold value under the condition that a preset under-voltage protection threshold value is not triggered; when the maximum power demand value in the power demand impact sequence is greater than the maximum pulse discharge power threshold, determining that the target mobile energy storage equipment has a power supply drop risk in a preset load prediction time window; calculating an energy gap prediction sequence based on waveform integration of the power demand impact sequence; and generating a feed-forward compensation instruction based on the energy gap prediction sequence, and controlling an auxiliary power conversion unit in the target mobile energy storage equipment to execute the feed-forward compensation instruction. And the accuracy of load control is improved.

The utility model relates to the technical field of photovoltaic cells, and discloses a selective passivation contact structure and a double-sided selective TOPCon cell. The selective passivation contact structure comprises a silicon wafer, the back surface of the silicon wafer is sequentially provided with a first tunneling oxide layer and first boron-doped polycrystalline silicon, and a back surface electrode contact region of the first boron-doped polycrystalline silicon is also provided with second boron-doped polycrystalline silicon; the thickness of the first boron-doped polycrystalline silicon is smaller than that of the second boron-doped polycrystalline silicon, the crystallization rate of the first boron-doped polycrystalline silicon is larger than that of the second boron-doped polycrystalline silicon, and the doping concentration of the first boron-doped polycrystalline silicon is larger than that of the second boron-doped polycrystalline silicon. The selective passivation contact structure can reduce parasitic absorption of light, reduce recombination and improve the passivation effect and the transverse transmission performance of carriers, so that the open-circuit voltage, the short-circuit current, the fill factor and the cell efficiency of the double-sided selective TOPCon cell can be further improved.

The invention discloses an abnormality monitoring method and system for a fuel cell stack. The operation process of the fuel cell stack is divided into an open circuit stage without load access, an activation polarization stage started by a low load and a normal operation stage started by a high load in advance; the abnormity monitoring method comprises the following steps: in an open-circuit stage, collecting open-circuit voltage of a battery in real time, if the open-circuit voltage is higher than a first set value under continuous preset times, judging that the open-circuit stage is abnormal, and triggering an early warning prompt; and in the activation polarization stage, calculating the output power slope of the galvanic pile, if the power slope is smaller than a second set value within the specified time, judging that the activation polarization stage is abnormal, and processing based on a preset action. According to the technical scheme, different stages of the fuel cell stack can be monitored in a targeted manner, the fault handling efficiency is improved, and the safety and stability of stack operation are improved.

Example methods to manage a plurality of battery packs of an electric vehicle include initiating a charging process for a primary battery pack and an auxiliary battery pack, determining that an Open Circuit Voltage (OCV) of the primary battery pack matches an OCV of the auxiliary battery pack, and based on determining that the OCV of the primary battery pack matches the OCV of the auxiliary battery, connecting the primary and auxiliary battery packs in parallel and initiating parallel charging of the primary battery pack and the auxiliary battery pack.

One aspect of the present invention relates to a method (100) for managing the available state of charge (SOCDisp) of an aircraft battery, the method comprising the steps of: - obtaining (110) a first intermediate available state of charge (SOCDisp1) from a battery capacity table based on battery temperature; - obtaining (120) a second intermediate available state of charge (SOCDisp2) based on a stored state of charge, a first instantaneous voltage, an instantaneous open-circuit voltage, and a predetermined minimum permissible voltage; - measuring (130) a second instantaneous voltage Ucell across the battery terminals; and - determining (140) an available state of charge (SOCDisp) based on the first intermediate available state of charge (SOCDisp1), the second intermediate available state of charge (SOCDisp2), and the measured (130) second instantaneous voltage Ucell.

This application provides a passivation structure and its preparation method, as well as a silicon solar cell and its preparation method. The passivation structure includes a first aluminum oxide layer, a first aluminum nitride layer, a second aluminum oxide layer, and a second aluminum nitride layer stacked together. The first aluminum oxide layer directly contacts the silicon edge and repairs cutting damage and dangling bonds through chemical passivation. It adapts to the p-type silicon region with a negative fixed charge. The first aluminum nitride layer passivates the n-type silicon with a positive fixed charge. The high hydrogen content enhances defect repair, and the dense structure blocks impurities from intruding. The second aluminum oxide layer supplements the negative charge to improve the passivation effect of the p-type silicon and forms stress complementarity with the aluminum nitride layer to prevent film cracking. The second aluminum nitride layer resists stringing and lamination damage, blocks moisture and corrosion, and ensures long-term performance. This structure achieves optimal simultaneous passivation of p / n-type silicon through charge complementarity and synergistic hydrogen passivation, improving the minority carrier lifetime at the cell edge, the implicit open-circuit voltage, and the module power, and solving the pain points of incomplete passivation and poor stability.

The application discloses a kind of half battery and its preparation method, the detection method of open-circuit voltage.The preparation method of the half battery includes the following steps: lithium sheet, separator and graphite pole piece are stacked in sequence, and sealing, standing are carried out, and half battery is obtained;Before stacking the separator, first electrolyte is added to the lithium sheet;Before stacking the graphite pole piece, second electrolyte is added to the separator;The volume ratio of the first electrolyte and the second electrolyte is 1: (1-5).When the half battery prepared by the half battery preparation method of the application is detected by open-circuit voltage, the reliability and stability of the obtained open-circuit voltage are better, and can be used to judge the performance of battery and / or electrode material.

The invention relates to a battery online internal resistance identification method and system based on a voltage plateau period, and belongs to the technical field of battery parameter identification, and the method comprises the steps: continuously collecting the terminal voltage and the working current of a battery, and estimating the current state of charge; screening out a stable working window of the battery in a set charge state interval; acquiring the open-circuit voltage of the battery in the stable working window; and battery internal resistance identification is completed based on the open-circuit voltage of the battery. According to the method, the voltage platform characteristics of the lithium iron phosphate battery are ingeniously utilized, the OCV is regarded as a constant in a short time, the problems that in a traditional method, the OCV and the internal resistance voltage drop are coupled and are difficult to separate are effectively solved, and the identification precision is remarkably improved.

The invention relates to the technical field of battery detection, in particular to an open-circuit voltage fitting method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining test data obtained through the pulse charging and discharging test of a battery; according to the test data, a first model parameter in a target fitting model is assigned, in the target fitting model, a battery end voltage is equal to the superposition of an ohm voltage drop, a charge transfer polarization voltage drop, a diffusion polarization voltage drop and an open-circuit voltage, and a second model parameter in the target fitting model is assigned; the first model parameters comprise ohmic impedance in the ohmic voltage drop, reaction impedance in the charge transfer polarization voltage drop and diffusion impedance in the diffusion polarization voltage drop; and on the basis of the target fitting model, open-circuit voltages of the battery in different charge states are obtained, and the different charge states correspond to different battery terminal voltages. Therefore, the estimation speed of the open-circuit voltage and the prediction accuracy of the open-circuit voltage are improved by adopting a pulse charging and discharging test and model fitting mode.

The invention discloses a TBC crystalline silicon cell doped on the back step by step and region and a preparation method of the TBC crystalline silicon cell. The preparation method comprises the steps that an N-type monocrystalline silicon substrate is provided, the substrate comprises a front face and a back face, annealing treatment is carried out on the back face in a partitioned and step-by-step mode, and doping activation of independent areas is carried out; preparing a textured structure with pyramid morphology on the front surface of the N-type monocrystalline silicon substrate to enhance the light trapping effect; and performing a metal slurry screen printing process on the first region and the second region, performing high-temperature sintering, forming a metal electrode in contact with the first doping layer in the first region, forming a metal electrode in contact with the second doping layer in the second region, and preparing the TBC crystalline silicon battery. According to the invention, the technical problems of incompatibility of boron and phosphorus doped region doping processes, increase of the complexity of a process route, influence on the cell performance and the like in the prior art can be solved, the open-circuit voltage and the fill factor of the cell can be effectively improved, and the photoelectric conversion efficiency of the TBC crystalline silicon cell is improved.

A system and method for characterizing a battery of a battery power system and a battery power system are provided. The system for characterizing a battery of a battery power system includes a sensor array, a processor, and a memory. The sensor array measures a temperature-specific battery voltage and a battery current of the battery as battery parameters. The processor executes instructions from the memory to provide or create a baseline open circuit voltage to state of charge (OCV-SOC) characteristic relationship during a series of charge and discharge modes of the battery. After creating or accessing the baseline OCV-SOC characteristic relationship, the processor determines whether the battery is in an open mode during which the battery is not connected to a load. In an open mode, the battery parameters are measured via the sensor array. An adjusted OCV-SOC characteristic relationship is created by adjusting the SOC amount of the baseline OCV-SOC characteristic relationship using the battery parameters. The battery is controlled using the adjusted OCV-SOC characteristic relationship.

The invention relates to the technical field of PbS quantum dot solar cells, and provides an infrared quantum dot solar cell based on double hole transport layers and a preparation method of the infrared quantum dot solar cell. The infrared quantum dot solar cell comprises a substrate, a bottom electrode, an electron transport layer, a quantum dot photosensitive layer, a hole transport layer and a top electrode which are sequentially stacked, and the hole transport layer comprises a PbS-PbO-EDT hole collection layer and a PbS-PbCl2-EDT hole collection layer which are arranged on the quantum dot photosensitive layer in sequence. The hole transport layer of a double-layer structure is adopted, Cl ligands are introduced, stress caused by volume shrinkage during ligand exchange is reduced, open-circuit voltage and short-circuit current losses caused by cracks on the surface of the film are reduced, meanwhile, the energy band level of the composite film is almost kept unchanged, and voltage losses are avoided.

A resistance calculation device includes: a characteristic calculation portion configured to calculate a shrinkage rate for each single electrode based on a capacity shift amount of a positive electrode of a deteriorated secondary battery, a capacity shift amount of a negative electrode of the deteriorated secondary battery, a deterioration amount of the positive electrode, and a deterioration amount of the negative electrode, and to calculate a curve representing characteristics of a state of charge and an open circuit voltage of an equivalent circuit of the deteriorated secondary battery by deforming an opening end potential curve for each single electrode before deterioration of the deteriorated secondary battery by the shrinkage rate for each single electrode based on a fixed point; a change amount calculation portion configured to calculate an amount of change in the open circuit voltage of the equivalent circuit based on a difference between the opening end potential curve for each single electrode before the deterioration and the curve representing the characteristics of the state of charge and the open circuit voltage of the equivalent circuit; and a resistance calculation portion configured to calculate a DC resistance of the equivalent circuit by dividing a result of addition of an amount of change in a DC voltage of the equivalent circuit to which a pulse current is applied and the amount of change in the open circuit voltage of the equivalent circuit by a current value when the pulse current is applied to the equivalent circuit.

The application provides a perovskite work function regulator, a perovskite solar cell and a preparation method and application thereof, the perovskite work function regulator contains a mercapto compound; the mercapto compound has a mercapto functional group. The perovskite work function regulator has a simple structure, and the cost is also lower compared with a p-type dopant in the prior art. Moreover, the perovskite work function regulator is a small molecule containing a mercapto functional group, and the compatibility with a perovskite precursor solution is higher; the strong interaction between Pb and S can change the work function of the perovskite material, meanwhile, the mercapto group can be oxidized in the air to generate corresponding disulfide, and this process realizes the large-scale regulation of the work function of the perovskite and brings the improvement of the open-circuit voltage of the cell.

An inspection system includes an excitation light source, a voltage-sensing film, an illumination light source, an image capture device. The excitation light source provides an excitation beam to light-emitting diodes to generate open-circuit voltages. The voltage-sensing film is at a top side of the light-emitting diodes and includes a voltage-sensing medium layer and a first electrode layer. The first electrode layer is in the voltage-sensing medium layer to provide a gain effect of the open-circuit voltages, so that the voltage-sensing medium layer senses the open-circuit voltages, and a display of the voltage-sensing medium layer is changed with a portion or all of the open-circuit voltages. The illumination light source provides an illumination beam to the voltage-sensing film to generate a sensing image according to a display change. The image capture device is on a transmission path of the sensing image and receives the sensing image to generate an inspection result.

A state-of-charge estimation device (50) comprises: a storage unit (51) that stores the charging and discharging history of a storage battery (31); a charge and discharge determination unit (52) that determines, based on the charging and discharging history stored in the storage unit, whether the storage battery is in a charged or discharged state; a charge and discharge control unit (53) that discharges the storage battery by a predetermined amount when the charge and discharge determination unit determines that the storage battery is in a charged state, and charges the storage battery by a predetermined amount when the charge and discharge determination unit determines that the storage battery is in a discharged state; an open-circuit voltage reference unit (54) that obtains the open-circuit voltage of the storage battery after the charge and discharge control unit has charged or discharged the storage battery;and a state-of-charge estimation unit (55) which refers to a charging and discharging curve which specifies the relationship between the open-circuit voltage of the storage battery and the state of charge of the storage battery, in order to estimate the state of charge of the storage battery from the open-circuit voltage referenced by the open-circuit voltage reference unit.

The present application belongs to the technical field of household photovoltaic, and particularly relates to a household photovoltaic fault diagnosis method and system, which comprises: collecting the volt-ampere characteristic curve data of a photovoltaic system and synchronous environmental irradiance; extracting at least one volt-ampere characteristic curve parameter, including short-circuit current, open-circuit voltage, maximum power or fill factor; according to the current irradiance, based on a preset dynamic health baseline, judging whether the system has a fault through a first preset rule. The first preset rule realizes fault diagnosis by obtaining a parameter expected health value and comparing it with an actual extracted value. The present application adopts a dynamic health baseline to adapt to environmental changes, combines an efficient parameter extraction algorithm with an intelligent fault judgment mechanism, significantly improves the diagnosis accuracy, reduces false positives and false negatives, and is suitable for low-cost, automated operation and maintenance of household photovoltaic systems.

The invention discloses a high-voltage 1064nm InGaAs laser battery, an epitaxial structure of the laser battery comprises a substrate, and a GaAs buffer layer, an AlGaAs tunneling junction, an AlGaInAs gradient layer, an (N-1)-junction GaInAs sub battery, an (N-1)-th GaInP window layer, an Nth-junction GaInAs sub battery, an Nth GaInP window layer and a GaInAs cap layer which are arranged on the substrate in sequence, and the GaAs buffer layer, the AlGaAs tunneling junction, the AlGaInAs gradient layer, the (N-1)-th GaInAs sub battery, the Nth GaInP window layer, the Nth GaInP window layer and the GaInAs cap layer are arranged between the first GaInAs sub battery and the (N-1)-th GaInAs sub battery. A GaInP window layer and an AlGaInAs tunnel junction are arranged between two adjacent GaInAs sub-cells from bottom to top, and when N is greater than or equal to 9, the open-circuit voltage of the laser cell can reach more than 7V. According to the invention, the AlGaInAs buffer layer with the gradient In component is adopted, and the 1064nm laser cell with the GaInAs material grown on the GaAs substrate is superior to a multi-junction 808nm laser cell.

The invention discloses a method and device for determining the state of charge of a battery and electronic equipment, and the method comprises the steps: generating a third relation curve based on a first relation curve and a second relation curve under the condition that a silicon-based battery is in a first state, the first relation curve is a relation curve between the discharge depth and the open-circuit voltage when the silicon-based battery is in the second state, and the second relation curve is a relation curve between the discharge depth and the open-circuit voltage when the silicon-based battery is in the third state; the third relation curve is a relation curve between the discharge depth and the open-circuit voltage in the process that the silicon-based battery is in the first state, and the first state is that the silicon-based battery is in the first environment temperature and is circulated for the Nth time; acquiring the actual open-circuit voltage of the silicon-based battery in the first state; and determining the state of charge of the silicon-based battery based on the actual open-circuit voltage and the third relation curve.

The application discloses a tracking lock type maximum power point tracking circuit and an implementation method thereof, which comprises a rectifier circuit, a control circuit, a step-down-step-up converter control circuit and a step-down-step-up converter. The rectifier circuit is used for converting input alternating current energy into direct current energy. The control circuit is used for judging the length of current inductance demagnetization time, adjusting the current inductance demagnetization time, realizing indirect detection of inductance current zero-crossing point, and generating a switch timing control signal. The step-down-step-up converter control circuit is used for generating a first switch tube driving signal and a second switch tube driving signal. The step-down-step-up converter is used for adjusting input impedance according to the first switch tube driving signal and the second switch tube driving signal, and realizing maximum power point tracking. The application can realize adaptive locking of the maximum power point under different vibration frequencies and different open circuit voltages, improve the tracking speed of the circuit when the input changes, and can be widely applied to the technical field of integrated circuits.