58results about How to "Reduce test volume" patented technology

The invention relates to a method of designing a mixed ratio for a bitumen mixture based on fractal and distributional features of ore materials. The method comprises the following steps: (1) mathematical models for particle diameter distribution and mass distribution of the ore materials are set up respectively; (2) the type and the grading limit of the bitumen mixture are determined; (3) raw materials are selected and checked; (4) graduations of two arbitrary groups of the ore materials are determined and corresponding fractal dimension values(D) are worked out; (5) the use level of the bitumen is worked out; (6) the bitumen mixture is prepared by stirring; (7) a Marshall test sample is made, the relative density of the bulk volume of the test sample is determined, the theoretical maximum relative density is determined, and the volume index is worked out; (8) relationship curves between the fractal dimension values(D) and the volume indexes are drawn; (9) the graduation of the ore materials and the optimum use level of the bitumen are determined; (10) the road performance of the bitumen mixture is tested; and (11) the construction mixed ratio of the bitumen mixture is determined. The invention utilizes the fractal theory to set up the mathematical models, and in the process of designing the mixed ratio of the bitumen mixture, the optimum bitumen use level and the optimum graduation of the ore materials meeting and regulating all design rules of the bitumen mixture can be quickly determined.

The invention provides a method and device for testing axial rigidity and radial rigidity of a rotary hydrostatic guide rail. A rotary guide rail seat is fixed on a platform, a pressing plate and a rotary assembly are fixedly connected to form a rotary part, and the rotary part is used for guiding in a rotary motion way by depending on a hydrostatic guide rail pair; an axial load assembly comprises a flange sleeve, a screw rod, a thrust bearing, a radial bearing, a sleeve, a connecting piece, force sensors and a terminal pad which are vertically arranged; a radial load assembly comprises a flange sleeve, a screw rod, a thrust bearing, a radial bearing, a sleeve, a connecting piece, a force sensor, a loading piece and a connection bending plate which are horizontally arranged; and a mounting support of a displacement sensor assembly is fixed on the rotary guide rail seat, and a measuring head aligns to the rotary assembly. The method and device provided by the invention can be used for acquiring the axial and the radial rigidity data of the hydrostatic guide rail in a rotary motion and can also be used for an confirmatory experiment on a method for analyzing the rigidity of the hydrostatic guide rail in the rotary motion and the influence of oil film tangential adhesive force.

The invention relates to an air gap breakdown voltage prediction method. The method is characterized by selecting several typical electrode structure air gaps and determining a factor and a level range which influence a breakdown voltage; selecting an orthogonal table which can be used to inspect each level of the above factor and successively carrying out breakdown voltage tests according to a test condition corresponding to each test number; loading a breakdown voltage test value so as to carry out electrostatic field calculation on the typical electrode structure air gaps and extracting an electric field distribution parameter from a calculation result; using a support vector machine to establish a breakdown voltage prediction model, taking the electric field distribution parameter as an input of a model, taking whether the gap is in a breakdown state under a loading voltage as an output of the model, using typical electrode structure air gap breakdown voltage test data to train a support vector machine model so that an air gap breakdown voltage of another electrode structure is predicted and obtained. By using the method in the invention, a prediction process is simple; accuracy is high; a test quantity needed by air gap discharge characteristic research can be decreased and test cost is reduced.

The invention provides a production method of plant-mixed hot recycled asphalt concrete. The method comprises a plant-mixed hot recycled asphalt concrete gradation determining method, a plant-mixed hot recycled asphalt concrete asphalt-aggregate ratio determining method and a plant-mixed hot recycled asphalt concrete preparation technology. Old materials are divided into three grades, the effect of variability of the old materials on the pavement performance of the plant-mixed hot recycled asphalt concrete is avoided, and meanwhile, plant-mixed hot recycled asphalt concrete with different pavement performance can be obtained by controlling the key sieve mesh passing rate. The test amount for determining the best asphalt adding amount is greatly decreased with the new asphalt adding amount estimation method of the plant-mixed hot recycled asphalt concrete; in the preparation process of the method, new materials and new asphalt are uniformly mixed, then heated old materials are added, the thickness difference between asphalt films of the new and old asphalt mixture is reduced, the asphalt amount is effectively reduced, and uneven mixing is avoided.

The invention provides a permanent magnet temperature on-line detection method and device which are applied to a permanent magnet motor. The permanent magnet temperature on-line detection method comprises the steps that the rotating speed and the counter electromotive force of the permanent magnet motor are acquired; the temperature value of a permanent magnet is obtained through calculation according to a preset temperature calculating rule, the rotating speed and the counter electromotive force, and the preset temperature calculating rule represents the corresponding relation of the rotating speed, the counter electromotive force and the temperature value of the permanent magnet. In the detection process, only the rotating speed and the counter electromotive force of the permanent magnet motor need to be acquired and calculated, the temperature of the permanent magnet can be directly obtained, the measuring method is simple, the testing amount is small, and the testing time is short. Moreover, due to the fact that high-cost devices such as a thermal infrared imager do not need to be used, and the testing cost is lowered. In the measuring process, constant temperature maintaining of cooling liquid of the motor is not involved, and operation is easy. In addition, the permanent magnet temperature on-line detection device is achieved in practical, and the measuring structure is simple.

The invention discloses a solid propellant formulation energy optimization design method based on a genetic algorithm. The method comprises a first step of modeling, and building an energy characteristic calculation model of solid propellant according to a minimum free energy principle; a second step of setting and storing initial parameters, inputting component species used by the solid propellant, and a chemical formula and a quality proportion range of each component, and inputting species of combustion products produced by the solid propellant after being combusted, and chemical formulas and relative molecular mass of all the combustion products or selecting all the combustion products in a combustion product data base; and a third step of calling a genetic algorithm module by a data processor, and conducting optimization design to quality proportion of the designed solid propellant. The solid propellant formulation energy optimization design method based on the genetic algorithm is simple in steps, reasonable in design, convenient to achieve, good in using effect, capable of fast obtaining an optimum proportion of highest specific impulse of the solid propellant and effectively overcoming the defects, existing in an existing solid propellant compound design process, of being high in energy characteristic test cost, long in period, large in test dose, and the like.

The invention provides an electric arc additive forming prediction modeling method based on molten drop transition, and relates to an electric arc additive forming process numerical calculation modeling method. According to the modeling method, the molten pool flow field calculation and a molten drop transition process are coupled, a computational domain is updated by adopting a dynamic grid technology and considering the movement of a welding gun, and transportation equations are uniformly solved in a molten pool computational domain and a molten drop transition computational domain, so thatthe simulation prediction of electric arc additive manufacturing forming morphology, temperature field and flow field is achieved, and the problems that the size of an existing arc additive cladding layer cannot be predicted and the physical field evolution is not clear are solved. The method is implemented through the following steps of 1, establishing a material and geometric model, and definingthe computational domain and boundary conditions; 2, establishing a molten drop mechanical model, and determining a molten drop transition computational domain transportation equation source item; 3,establishing a molten pool thermodynamic model, and determining a molten pool computational domain transportation equation source item; and 4, loading a thermodynamic source item, and uniformly solving molten drop and molten pool computational domain transportation equations.

The invention provides a multi-nozzle solid attitude control engine blocking cover structure. The blocking cover is mainly composed of a spraying pipe clamping ring, a piston and sealing rings, the control device for opening the opening pressure design value of a spray pipe plug cover is mainly used for changing machining materials of the piston, geometrical parameters and structural forms; and according to the selected machining materials, the geometrical parameters and the structural form of the piston, the opening pressure of the novel spray pipe plug cover can be predicted through structural calculation. Meanwhile, the spray pipe plug cover can solve the problems that a small-size conventional spray pipe plug cover used for a special spray pipe is difficult to machine and the discretedegree of the opening pressure is large. The connection mode of the spray pipe plug cover and a spray pipe assembly can be selected but not limited to threaded connection, pin connection and clampingkey connection mode. According to the multi-nozzle solid attitude control engine blocking cover structure, the accurate control of the opening pressure of the nozzle cover of the spray pipe is realized by means of the mature structure calculation, the test amount is reduced, the product performance reliability is improved, and the design cost is saved.

The invention discloses an intelligent sliding bearing capable of adjusting the viscosity of lubricating fluid automatically and a control method thereof, which belong to the technical field of mechanical design and automatic control. The bearing comprises a bearing inner bush (7), a bearing outer bush (3), a coil (4) arranged between the bearing outer bush (3) and the bearing inner bush (7), an external force sensor and a rotation speed sensor, wherein the each of the left and right ends of the bearing inner bush and the bearing outer bush is provided with a pair of pole shoes (1), and an annular magnet (2) is arranged between each pair of pole shoes; and a sealing structure is arranged between the annular magnet (2) and the pole shoes (1) and a rotating shaft (6) and keeps magnetic fluid (5) between the rotating shaft (6) and the bearing inner bush (7). The bearing and the control method thereof can adjust the viscosity of the lubricating fluid automatically according to working conditions, so that the bearing can be kept in a well lubricated state and friction power consumption and wear are reduced.

The invention provides an automobile drive axle vibration simulation analysis method. The method comprises the following steps: 1) establishing a main speed reducer transmission model of an automobiledrive axle through transmission analysis software; 2) extracting positioning size information of a bearing center point of a main speed reducer; 3) establishing a shell finite element model of a drive axle shell through finite element software; 4) generating a mass and rigidity matrix of a bearing center point; 5) importing the mass and rigidity matrix of the central point of a bearing into transmission analysis software; 6) outputting dynamic displacement information of the bearing center point under different working conditions; 7) calculating the shell vibration response under the bearingload. Finite element software and professional transmission analysis software are combined, the test amount is reduced, the test period is shortened, a simulation model is used for optimizing and improving the drive axle, the improvement effect is checked before formal improvement and implementation, and the production cost of enterprises is saved.

The invention discloses an oil-paper insulation system breakdown voltage prediction method based on a support vector machine. The oil-paper insulation system breakdown voltage prediction method comprises the steps of: (1) selecting a typical oil-paper insulation structure in a transformer, and forming an influence factor execution table; (2) conducting a breakdown voltage experiment according to the influence factor execution table, and recording breakdown voltage experimental data; (3) establishing an SVM regression prediction model; (4) separating a to-be-predicted oil-paper insulation system to establish an equivalent circuit model of each insulation structure; (5) calculating a breakdown voltage of each insulation structure by utilizing the SVM regression prediction model; (6) and comparing the breakdown voltage with a withstand voltage of the equivalent circuit model of each insulation structure to obtain a predicted breakdown voltage of the oil-paper insulation system. The oil-paper insulation system breakdown voltage prediction method utilizes the support vector machine to perform prediction analysis on the oil-paper insulation breakdown voltage, is simple and efficient, is conductive to solving the uncertainty in transformer oil-paper insulation analysis, reduces the amount of oil clearance breakdown tests in transformer oil and electrical feature study, and reduces test cost.

The invention discloses a method for inspecting a simulation result and determining the state thereof in a simulation system. The method comprises the following steps: the simulation result is inspected first, if a formula that F is equal to that (SA / m) / (SE / (n-m)) is equal to or more than F alpha (m, n-m) is established, the simulation result is not correct; otherwise, the simulation result is correct; when the simulation result is not correct, the simulation result requires further state determination. If a formula that Fi is equal to that (ni Y<i.><2> / 1) / (SE / (n-m)) is equal to or more than F alpha (1, n-m) is established under a certain state, a simulation result under the state is not correct; otherwise, the simulation result under the state is correct. Therefore, after the state of simulation error is found, the state of simulation can be modified without modifying the whole simulation system. The method requires small tested number with high inspection accuracy, and can directly establish and modify the simulation system under small sample conditions. Furthermore, in order to lead the method of the invention to be more convenient for engineering application, the invention also establishes a simulation result inspection table and a simulation result state determination table, therefore, small sample inspection and state determination of the simulation result in the simulation system can be completed by filling out the tables.

The invention discloses an efficient cyfluthrin nano-emulsion composition and a preparation method thereof. The efficient cyfluthrin nano-emulsion composition is prepared from, by mass, a surfactant 6.6-10%, an oil phase 10-20%, efficient cyfluthrin 2.5%, eistilled water 70%-82%, wherein the total mass percentage is 100%. The obtained efficient cyfluthrin nano-emulsion composition has the advantages that the stability is good, the organic solvent consumption is low, and the composition is easy to operate and use in agricultural production and the like. The particle size of pharmaceutical liquid is 69-150 nm. The polydispersity index (PDI) is 0.15-0.048. By adopting a single factor method and a triangular coordinate diagram method and using the emulsion particle size, the polydispersity index (PDI) and water removing stability as evaluation indexes, the test quantity is reduced, and the test efficiency is improved.

The invention relates to a method for realizing fine analysis of an iron ore sintering simulation test through process pause. In the test process of a sample material before the sample material is fired, stage slitting of the process is realized through different process conditions, so that the sintering process is paused at a certain stage and qualitative analysis is performed for the stage; anda final sintering scheme is analyzed and adjusted according to process parameters and intermediate results of various stages. The invention provides a refined analysis means for adjusting a batching and sintering scheme of a sintering simulation test, which reduces the ineffective test quantity, provides an unprecedented process parameter for the result of a sintered finished product, realizes thevisualization of important process parameters, and provides a stronger support for the sintering theory and practice.

The invention discloses a solid propellant formula optimization method based on a genetic algorithm and an energy feature graph. The solid propellant formula optimization method based on the genetic algorithm and the energy feature graph includes a first step of modeling, namely, establishing four energy feature calculation models according to a minimum free energy principle; a second step of setting and storing initial parameters; a third step of utilizing the genetic algorithm to implement formula optimization design; a fourth step of setting a value range used for graphic plotting and calculating mass contents of various kinds of raw material; and a fifth step of drawing the energy feature graph. The drawing process includes the steps of energy feature parameter inputting, energy feature curvilinear equation fitting, energy feature graph drawing, and synchronous energy feature graph displaying. The method is simple in step, reasonable in design, convenient to achieve and good in use effect, combines the genetic algorithm and the energy feature graph to carry out the solid propellant formula optimization design, and overcomes the defects that the energy feature experimental cost is high, the period is long and the experimental quantity is large and the like in an existing solid propellant formula optimization design process.

The invention provides a high-speed grinding temperature prediction method for particle reinforced titanium-based composite material, which belongs to a transient heat transfer simulation analysis method and comprises the following steps: 1, counting the distribution law of reinforced particles in the particle reinforced titanium-based composite material; 2, performing finite element simulation modeling on the three-dimensional composite material; 3, setting finite element simulation boundary conditions; and 4, performing simulation analysis and verification on the three-dimensional temperature field. The method can predict the grinding temperature of the titanium-based composite material and has the advantages of being higher in accuracy, higher in calculation efficiency and the like compared with an existing method. By means of the method, the high-speed grinding temperature of the particle reinforced titanium-based composite material can be accurately predicted, and basic data and theoretical support are provided for avoiding grinding burn and improving the grinding quality.

The invention relates to a material performance testing method and a testing tool. The method comprises the following steps: determining design parameters of a die according to the performance of a material, the design parameters comprising the number of channels, n being a positive integer greater than or equal to 3, and the air pressure of each channel being independently controlled; machining amold according to the design parameters; and putting the material into a mold, and testing the superplastic forming performance / diffusion bonding performance. The material performance testing methodaims to solve the problems of large test quantity, long period, large energy consumption and high development cost of superplastic forming / diffusion bonding performance test.

The invention discloses a lithium battery long-term degradation trend prediction method, which comprises the steps of performing normalization and smoothing processing by taking a partial degradationtrend curve for a lithium battery as original data to obtain a lithium battery to-be-predicted sample used for being input to a trained prediction model; when the prediction model receives the to-be-predicted sample of the lithium battery, generating a prediction action corresponding to the initial state of the to-be-predicted sample of the lithium battery, and splicing the prediction action corresponding to the initial state to the end of the initial state of the to-be-predicted sample of the lithium battery to serve as a first prediction trend curve by the interaction environment used by theprediction model; intercepting a sequence with the length equal to the single state length from the first prediction trend curve result, inputting the sequence into the prediction model as a next moment state, enabling the prediction model to give a prediction action corresponding to the next moment state, and splicing the prediction action corresponding to the next moment state to the end of thenext moment state by the interactive environment, and taking the prediction trend curve as a second prediction trend curve until a final prediction trend curve is obtained.

The invention discloses a porous concrete aggregate design method based on working performance, which comprises the following steps: determining the pore, slurry and aggregate volume of concrete according to the design density, porosity, U-shaped slump and other working performance of target porous concrete, thereby determining the particle size combination of the aggregate and the mass of the aggregate required by unit volume of porous concrete. According to the method, mix proportion design is carried out based on the working performance of the porous concrete, and the problems that the porous concrete design and actual working performance are greatly different, and construction is difficult are solved.

At present, it is unable to carry out evaluating full line on-line optimization test (i.e. quality evaluation of full line working procedure) since various working procedures and parameters causes huge test quality. In earlier stage, using factor filtration to carry out quality evaluations of single working procedure or multiple working procedures, the disclosed method possesses advantages of small test quantity, and small data quantity, and easy of determination and evaluation. The method includes procedures: carrying out factor filtration test for single working procedure or multiple working procedures from theoretical research on test design and data analysis; using variance analysis to find out few key factors of playing decisive effect on test indexes; designing full line on-line optimization test based on the said few key factors.

The present invention relates to an inclined internal heat type liquid vapor combustion performance testing device, the inclined internal heat type liquid vapor combustion performance testing device comprises a support arranged on a horizontal plane, an inclined internal heat unit which is arranged obliquely in relative to the horizontal plane and fixed on the support, a vapor ignition nozzle tube which is vertically arranged and connected with the internal heat unit, and a combustion test unit which is matched with the inclined internal heat unit and the vapor ignition nozzle tube. Compared with the prior art, the inclined internal heat type liquid vapor combustion performance testing device has the advantages of simple and compact overall structure, wide application range, small amount of a test sample, fast and flexible operation, high testing precision, reduction of the amount of the test sample, quick adjustment of temperature by use of an internal heating element, energy saving, increase of safety, and very good application prospects.

The invention provides a production method of plant-mixed hot recycled asphalt concrete. The method comprises a plant-mixed hot recycled asphalt concrete gradation determining method, a plant-mixed hot recycled asphalt concrete asphalt-aggregate ratio determining method and a plant-mixed hot recycled asphalt concrete preparation technology. Old materials are divided into three grades, the effect of variability of the old materials on the pavement performance of the plant-mixed hot recycled asphalt concrete is avoided, and meanwhile, plant-mixed hot recycled asphalt concrete with different pavement performance can be obtained by controlling the key sieve mesh passing rate. The test amount for determining the best asphalt adding amount is greatly decreased with the new asphalt adding amount estimation method of the plant-mixed hot recycled asphalt concrete; in the preparation process of the method, new materials and new asphalt are uniformly mixed, then heated old materials are added, the thickness difference between asphalt films of the new and old asphalt mixture is reduced, the asphalt amount is effectively reduced, and uneven mixing is avoided.

The invention discloses a test evaluation method for a caking degree of an RAP and belongs to the field of performance detection of recycled asphalt mixtures in highway engineering. The method comprises the following steps of: step A, preparing a test sample, namely drying the RAP in a drying oven to constant weight, taking out the RAP and cooling the RAP for later use; step B, drawing a grading curve graph of an old aggregate before RAP extraction and after RAP extraction; and step C, calculating an extraction refinement degree ds so as to evaluate the caking degree of different RAP materials. According to the method, required test instruments are conventional, the test amount is small, and quantitative index calculation is simple. The method is suitable for the RAP of different particle size grades.

The invention discloses a method for controlling an intelligent sliding bearing capable of adjusting the viscosity of lubricating fluid automatically, which belongs to the technical field of mechanical design and automatic control. The bearing makes magnetic fluid (5) held between a rotating shaft (6) and a bearing inner bush (7) through a sealing structure. The method firstly determines a coil control current of the rotating shaft when the bearing friction torque is minimum under different rotating speeds and the condition of the born load through a series of tests, and at this time the size of the control current is the optimal control current under the condition. And then according the test result the method establishes a database of the optimal control current aiming at the rotating speed and the born load condition. Finally in the actual application, a force sensor and a rotating speed sensor are used to measure the rotating shaft speed and the born load under an actual work condition, and according to the result the database is inquired, thus an adjusting coil (4) is used to control the current, so that the viscosity of the magnetic fluid (5) is automatically adapted to the work condition, and the friction power consumption and waste are reduced.

The invention discloses an aviation piston two-stroke engine supercharging system design method, and belongs to the technical field of aviation piston two-stroke engine supercharging system design. The method comprises the steps that basic parameters and performance strengthening target parameters of the aviation piston two-stroke engine are determined; selecting and matching a supercharger and preliminarily designing structural parameters of a resonant tube; determining common working condition parameters of the aviation piston two-stroke engine and a use weighted value of each working condition; optimizing structure parameters of the resonant tube through a genetic algorithm, and determining control target parameters; and according to a supercharger and the optimized resonance tube, a supercharging system is machined and assembled for the aviation piston two-stroke engine, and test verification is carried out. The design method of the aviation piston two-stroke engine supercharging system is suitable for an aircraft with high lift limit, high maximum level flight speed and long endurance, high comprehensive performance under all working conditions is considered, the design period is short, and the trial-manufacturing cost is low.

The invention discloses a material design method of a cement-asphalt composite cementing mixture based on crack resistance performance. The method includes the following steps: Step 1, determining the reasonable dosage ratio of cement and emulsified asphalt: Step 1, cement-emulsified asphalt composite cementation Material specimen preparation; Step 2, direct tensile test preparation; Step 3, direct tensile test; Step 4, test result processing; Step 5, determination of the reasonable dosage ratio of cement and emulsified asphalt; Reasonable dosage: Step 6, making cement-asphalt composite cemented mixture specimen; Step 7, strength test; Step 8, determination of reasonable dosage of composite cemented material. The invention fully considers the anti-crack performance of the cement-asphalt composite cemented mixture, and can better exert the ability of the cement-asphalt composite cemented mixture to resist reflection cracks.

The invention proposes a novel prediction method for service life migration of a lithium ion battery. The method comprises: a capacity degradation database of batteries with the same temperature, thesame multiplying power, and different formulas is established; after determination of a target battery, a battery similar to a capacity degradation rule of the target battery is selected based on a similarity measure; and then on the basis of the deep learning method, cross-formula battery service life migration prediction is carried out to realize prediction of the residual cycle life of the target battery. Meanwhile, with consideration of the economic target and irreversibility of battery life degradation, the design of the battery cycle life test is optimized and the battery test design issaved. With the method, the accurate residual life prediction of the lithium ion battery is realized; the test time and the test load of the service life testing at the research and development stageare reduced substantially; the research and development cycle of new products is shortened; the research and development costs are lowered; and the reliability and safety of the system are improved.

An asphalt mixture pressure type permeameter comprises a controller air storage sac, wherein the air inlet end of the air storage sac is communicated with an air-filling device through an electromagnetic air inlet valve which is installed on a guide pipe, the air outlet end of the air storage sac is communicated with a sealing cover through an electromagnetic air outlet valve which is installed on the guide pipe, the electromagnetic air inlet valve and the electromagnetic air outlet valve are connected with a controller through leads, and a pressure sensor which is connected with the controller through the lead is arranged on the side wall of the air storage sac. The asphalt mixture pressure type permeameter further comprises a timing device and a counter weight which is arranged on the edge of the sealing cover. Air is taken as medium, the controller controls the air inlet valve and the air outlet valve of the air storage sac, so the compressed air passes by an asphalt mixture test piece which is linked with the sealing cover, the pressure sensor sends the pressure signal to the controller, the controller converts the pressure signal into time signal, the timing device displays the time for reducing the air storage sac from one fixing air pressure to another fixing air pressure, so the permeability of the test piece is measured, the test time is greatly shortened, the efficiency is high, and water resources are saved.

The invention relates to a method for rapidly detecting the activity of a CDK9 / CyclinT1 enzyme and application of the method. According to the detecting method, the principle that the CDK9 / CyclinT1 enzyme can phosphorylate a substrate at the molecular level is utilized in combination with an ADP-Glo technology which has very high sensitivity, and then the amount of ATP consumed in a reaction is directly determined to quantify the process of the reaction. The whole reaction can be operated under a common laboratory condition, isotopic laboratory conditions are not needed, radiation hazards possibly caused to operating personnel and environments are reduced, and the safety is high. In the meanwhile, the method is simple and feasible, all experiments of the whole reaction can be completed byoperation within one day, the detection time is greatly shortened, the data volume of single-time detection can also be increased, and the method is more suitable for vast compound activity evaluationexperiments. Therefore, the method can be applied to screening of CDK9 / CyclinT1 enzyme receptor inhibitors and screening of anti-tumor drugs relevant to target spots.

The invention provides a lithium battery life prediction method based on degradation path coordinate reconstruction and multiple linear regression. Firstly, a new sampling rule is used for carrying out coordinate reconstruction on degradation data of a newly-developed battery and truncated similar batteries; then, the mapping relation between the life of the similar batteries and the life of the newly-developed battery is established through reconstruction data; finally, the life of the newly-developed battery is calculated through a service life prediction model. According to the method, the service life of the newly-developed battery can be predicted with the help of full-life degradation data of the similar batteries under different formulations or structures or use environments, the test time of a development stage life test can be greatly shortened, the test amount of the development stage life test can be greatly reduced, the development period of new products can be shortened, the cost at the development stage can be reduced, and core competitiveness of enterprises can be improved.