A method and system for dynamic quantification of battery carbon footprint based on mechanism inversion

Abstract

The application discloses a kind of based on mechanism inversion battery carbon footprint dynamic quantification method and system, belong to power battery technical field, including S10: the relevant data of battery is collected, according to the relevant data collected database is constructed, relevant data includes electrode material crystal form transition enthalpy change and formation capacity charge-discharge efficiency;S20: based on electrode material crystal form transition enthalpy change is handled, relevant processing includes: after battery disassembly negative electrode material is determined at least 3 times in parallel;According to the result of parallel determination of negative electrode material, the average value of the result with deviation <5% is regarded as the standard enthalpy change of battery.The application calibrates standard enthalpy change by at least 3 times parallel determination of negative electrode material, to use time deviation less than 3% sample to do error compensation, eliminate invalid sample with deviation greater than 3%, rely on enthalpy change-formation capacity charge-discharge efficiency bidirectional check completes mechanism inversion, so that the success rate of whole process inversion has been improved.

Description

Technical Field

[0001] This invention relates to the field of power battery technology, and in particular to a method and system for dynamic quantification of battery carbon footprint based on mechanism inversion. Background Technology

[0002] Currently, the accounting method for battery carbon footprint generally adopts the static LCA (Life Cycle Assessment) model, which relies on the average carbon emission factor from publicly available databases for calculation.

[0003] Regarding this research, application CN202610151112.X provides a method and system for managing the carbon footprint of power batteries. The technical solution includes: determining the entire lifecycle of the power battery, including raw material acquisition, manufacturing, usage, and decommissioning / recycling; deploying multi-source data acquisition devices throughout the entire lifecycle, and uploading the collected multi-source data to a blockchain network for storage after cleaning and formatting; and calculating the carbon footprint of the power battery throughout its lifecycle based on the stored data using a dynamic carbon emission factor library and a hybrid accounting model. This technical solution improves the accuracy of carbon footprint calculation through the dynamic carbon emission factor library and hybrid accounting model, and can generate collaborative optimization strategies to guide actual production and emission reduction decisions.

[0004] Another application, CN202410674506.4, discloses a method, apparatus, computer equipment, computer-readable storage medium, and computer program product for determining the carbon footprint of power batteries. This technical solution includes: obtaining corresponding carbon footprint accounting data based on the power battery bill of materials, wherein the carbon footprint accounting data includes activity data and emission factor site value data; performing a confidence assessment on the carbon footprint accounting data and obtaining the assessment result; and establishing an activity level data pool and an emission factor data pool based on the carbon footprint accounting data and the assessment result. This technical solution improves the accuracy of carbon footprint accounting.

[0005] In the mechanism inversion of dynamic quantification of battery carbon footprint, the micro-macro bidirectional mapping inversion is the most core and important link, which determines the accuracy of the calculation and the level of dynamic quantification capability. However, the parallel measurement of the enthalpy change of the negative electrode crystal form transformation in the above-mentioned technical solution only focuses on the result deviation and ignores the implicit error of thermal hysteresis introduced by the difference in the total test time. This leads to a large systematic deviation of the underlying mechanism parameters, which undermines the underlying foundation of carbon footprint inversion. Moreover, the above-mentioned technical solution does not establish a bidirectional binding verification rule between enthalpy change and formation capacity charging and discharging efficiency. When parameters are mismatched, anomalies cannot be automatically identified. After the inversion fails, the calculation process is directly interrupted, resulting in a high data gap rate in mass production scenarios. Summary of the Invention

[0006] In view of the problems existing in the field of power battery technology, the present invention is proposed.

[0007] Therefore, one of the objectives of this invention is to provide a method and system for dynamic quantification of battery carbon footprint based on mechanism inversion. This method calibrates the standard enthalpy change by measuring the negative electrode material in at least three parallel measurements. It uses samples with a time deviation of less than 3% for error compensation and removes invalid samples with a deviation of more than 3%. Mechanism inversion is completed by relying on the two-way verification of enthalpy change and formation capacity efficiency. If the inversion fails, a dynamic reference threshold is automatically generated to iteratively optimize the subsequent verification rules, thereby reducing the enthalpy change measurement error and improving the success rate of the entire inversion process.

[0008] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0009] On the one hand, this invention provides a method for dynamically quantifying the carbon footprint of batteries based on mechanism inversion, comprising the following steps:

[0010] S10: Collect relevant data about the battery and build a database based on the collected data. The relevant data includes the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the chemical composition.

[0011] S20: Perform relevant processing based on the enthalpy change of the crystal transformation of the electrode material, the relevant processing including:

[0012] The negative electrode material after battery disassembly was measured in at least three parallel tests.

[0013] Based on the results of parallel measurements of the negative electrode material, the average value of the results with a deviation of <5% is regarded as the standard enthalpy change of the battery.

[0014] Obtain relevant information, including the number of parallel measurements performed on the negative electrode material, the time taken to complete each parallel measurement, and the effect of different times on the standard enthalpy change in parallel measurements with different times.

[0015] S30: Based on the aforementioned influence, among the statistically analyzed number of measurements, the time taken for parallel measurements corresponding to the standard enthalpy change is obtained, and the time taken is regarded as a reference time. Among the statistically analyzed number of measurements, the parallel measurements corresponding to the deviation between the time taken and the reference time is less than 3% are obtained.

[0016] S40: Compensation processing is performed on parallel measurements where the deviation between the time taken and the reference time is less than 3%, and parallel measurements where the deviation between the time taken and the reference time is greater than 3% are regarded as invalid parallel measurements.

[0017] S50: Perform mechanism inversion, the steps of which include:

[0018] The composition capacity charge-discharge efficiency is obtained based on parallel measurements corresponding to the standard enthalpy change, and the composition capacity charge-discharge efficiency is regarded as the standardized composition capacity charge-discharge efficiency.

[0019] Obtain the battery carbon footprint corresponding to the standardized component capacity charge-discharge efficiency, and regard the battery carbon footprint as the standard battery carbon footprint;

[0020] After compensation processing is performed on parallel measurements corresponding to a deviation of less than 3% between the usage time and the reference usage time, the charge-discharge efficiency of the charge-discharge system is obtained.

[0021] If the compensated component capacity charge-discharge efficiency is the same as the standardized component capacity charge-discharge efficiency, the mechanism inversion is considered successful; otherwise, the mechanism inversion is considered unsuccessful.

[0022] If the mechanism inversion is considered to have failed, the battery carbon footprint corresponding to the capacity charge-discharge efficiency of this formation is obtained, and the battery carbon footprint is regarded as an abnormal battery carbon footprint.

[0023] On the other hand, the present invention provides a system for applying a mechanism-based inversion-based dynamic quantification method for battery carbon footprint as described above, comprising:

[0024] The data acquisition module is used to collect relevant data of the battery and build a database based on the collected data. The relevant data includes the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the formation capacity.

[0025] The data processing module is used to perform relevant processing based on the enthalpy change of the crystal transformation of the electrode material, the relevant processing including:

[0026] The negative electrode material after battery disassembly was measured in at least three parallel tests.

[0027] Based on the results of parallel measurements of the negative electrode material, the average value of the results with a deviation of <5% is regarded as the standard enthalpy change of the battery.

[0028] Obtain relevant information, including the number of parallel measurements performed on the negative electrode material, the time taken to complete each parallel measurement, and the effect of different times on the standard enthalpy change in parallel measurements with different times.

[0029] The fusion quantization module includes an acquisition unit, a compensation processing unit, and a mechanism inversion unit.

[0030] The acquisition unit is used to acquire, based on the influence, the time taken for parallel measurements corresponding to the standard enthalpy change from the counted number of times, regard the time taken as a reference time, and acquire the parallel measurements corresponding to the time taken and the reference time having a deviation of less than 3% from the counted number of times.

[0031] The compensation processing unit is used to perform compensation processing on parallel measurements where the deviation between the time taken and the reference time is less than 3%, and to regard parallel measurements where the deviation between the time taken and the reference time is greater than 3% as invalid parallel measurements.

[0032] The mechanism inversion unit is used to obtain the composition capacity charge-discharge efficiency based on parallel measurements corresponding to the standard enthalpy change, and the composition capacity charge-discharge efficiency is regarded as the standardized composition capacity charge-discharge efficiency.

[0033] Obtain the battery carbon footprint corresponding to the standardized component capacity charge-discharge efficiency, and regard the battery carbon footprint as the standard battery carbon footprint;

[0034] After compensation processing is performed on parallel measurements corresponding to a deviation of less than 3% between the usage time and the reference usage time, the charge-discharge efficiency of the charge-discharge system is obtained.

[0035] If the compensated component capacity charge-discharge efficiency is the same as the standardized component capacity charge-discharge efficiency, the mechanism inversion is considered successful; otherwise, the mechanism inversion is considered unsuccessful.

[0036] If the mechanism inversion is considered to have failed, the battery carbon footprint corresponding to the capacity charge-discharge efficiency of this formation is obtained, and the battery carbon footprint is regarded as an abnormal battery carbon footprint.

[0037] An electronic device includes a processor, an input interface, an output interface, and a memory, wherein the processor, the input interface, the output interface, and the memory are interconnected, wherein the memory is used to store a computer program, the computer program including program instructions, and the processor is configured to invoke the program instructions to execute the method described above.

[0038] A computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described above.

[0039] Beneficial effects:

[0040] 1. This invention avoids the random error of single-batch, single-point testing by using the rule of at least three parallel measurements of the negative electrode material and calibrating the standard enthalpy change by the mean of the results with a deviation of less than 5%. This can reduce the measurement error of the enthalpy change of the crystal transformation on the negative electrode side and provide a highly reliable underlying parameter benchmark for subsequent carbon footprint mechanism inversion.

[0041] 2. Furthermore, this invention, through end-to-end control of the time deviation of parallel measurements, distinguishes between reference time, compensable intervals with time deviation less than 3%, and invalid intervals with time deviation greater than 3%, and combines with the matching heat flow time axis stretching correction and weighted average compensation algorithm, can further control the enthalpy change deviation caused by the time difference of parallel measurements to within 2%, thus avoiding the implicit thermal hysteresis error introduced by the time difference in the test.

[0042] 3. By constructing a positive correlation verification logic of "standard enthalpy change - standardized component capacity charge and discharge efficiency - standard battery carbon footprint", the judgment boundary of success / failure of inversion is clarified. At the same time, a special archiving rule for abnormal battery carbon footprint is set to avoid the distortion of results caused by parameter mismatch in carbon footprint accounting, so as to achieve a high success rate of inversion throughout the entire process.

[0043] 4. Based on the reference difference rules extracted in the inversion failure scenario, the judgment threshold of subsequent compensation processing can be dynamically updated, and carbon data exceeding the reference difference can be automatically marked as abnormal. There is no need for frequent manual calibration of inversion parameters, realizing the self-iterative optimization of the full-process carbon footprint quantification capability, and improving the accuracy of abnormal data identification after long-term operation.

[0044] 5. Furthermore, by setting a dynamic threshold rule for the I-type capacity charging and discharging efficiency, invalid compensation operations exceeding the threshold can be automatically canceled, avoiding parameter deviation problems caused by over-calibration, making the present invention adaptable to the large-scale cell carbon footprint accounting needs of power battery mass production lines. Attached Figure Description

[0045] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein: Figure 1 This is a schematic diagram of the modular structure of the battery carbon footprint dynamic quantification system based on mechanism inversion according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the method flow according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the method flow for step S50 in an embodiment of the present invention; The numbers in the diagram are: 110 - Data acquisition module; 120 - Data processing module; 130 - Fusion quantization module; 1301 - Acquisition unit; 1302 - Compensation processing unit; 1303 - Mechanism inversion unit. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0047] Because existing technologies ignore the implicit error of thermal hysteresis introduced by the difference in total test time, the underlying mechanism parameters have large systematic biases, which undermine the underlying foundation of carbon footprint inversion.

[0048] Based on this, the present invention proposes a dynamic quantification method and system for battery carbon footprint based on mechanism inversion. By constraining at least three parallel measurements of the negative electrode material and calibrating the standard enthalpy change by the mean of the results with a deviation of less than 5%, the random error of single-batch single-point testing is avoided. This can reduce the measurement error of the enthalpy change of crystal transformation on the negative electrode side, provide a highly reliable underlying parameter benchmark for subsequent carbon footprint mechanism inversion, and make the success rate of the entire inversion process high.

[0049] The present solution will be further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0050] Reference Figures 1 to 3 This is one embodiment of the present invention, which provides a method for dynamically quantifying the carbon footprint of batteries based on mechanism inversion, including the following steps:

[0051] S10: Collect relevant data about the battery and build a database based on the collected data. The relevant data includes the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the formation capacity (the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the formation capacity are strongly coupled and are the core underlying parameters that support high-precision carbon footprint inversion).

[0052] The enthalpy change of the electrode material during the initial charge-discharge process directly determines the theoretical minimum energy consumption limit of the process, which is the underlying physical constraint on charge-discharge efficiency.

[0053] The deviation in charge and discharge efficiency during the formation and capacity testing process is essentially a direct reflection of the additional side reaction heat loss and irreversible phase transformation loss during the crystal transformation process. The actual operating value of the crystal transformation enthalpy change can be corrected in reverse by using efficiency data.

[0054] This invention approaches the issue from the perspective of microscopic physicochemical reactions in battery cells, collecting and storing core characteristic data such as enthalpy change of crystal transformation of electrode materials, and charge-discharge efficiency of formation capacity, thus establishing a low-level framework for the correlation mapping of "microscopic reaction - macroscopic energy consumption - carbon emissions".

[0055] This can upgrade the underlying parameters for carbon footprint accounting from "industry-wide values" to "values ​​specific to each batch of cells," improving the accuracy of the accounting basis by more than 8%.

[0056] In one feasible implementation, a high-precision fuel meter is deployed at the formation and capacity testing station on the production line. The test data is simultaneously connected to the DSC differential scanning calorimeter in the laboratory. The negative electrode crystal form transformation enthalpy change and formation and capacity charging and discharging efficiency of each batch of cells are bound to the local edge database according to the batch number, and the data storage capacity of a single record is controlled within 1KB.

[0057] In another feasible implementation, real-time carbon emission factors of the regional power grid, energy consumption data of positive and negative electrode material sintering, and energy consumption data of coating process can also be accessed to build a multi-source data fusion full-dimensional mechanism database. In the future, it can be directly expanded to support the dynamic quantification of carbon footprint of the entire cell and the entire process, not limited to the single process of formation and capacity testing.

[0058] S20: Based on the enthalpy change of the crystal transformation of the electrode material, relevant processing is performed, including:

[0059] The negative electrode material after battery disassembly was measured in at least three parallel tests.

[0060] Based on the results of parallel measurements of the negative electrode material, the average value of the results with a deviation of <5% is regarded as the standard enthalpy change of the battery.

[0061] In one feasible implementation, three parallel samples of approximately 5 mg each are randomly selected from the disassembled negative electrode sheet. DSC testing is performed at a constant temperature of 25°C with a heating rate of 5°C / min. Abnormal results with a deviation of ≥5% are automatically eliminated, and the average value of the remaining results is taken as the standard enthalpy change of the batch.

[0062] In another feasible implementation, in-situ XRD can be introduced to simultaneously acquire diffraction peak data of the crystal transformation process, and the enthalpy change results can be correlated with the degree of crystal transformation completion. Subsequently, it can be directly extended to support parallel measurement and enthalpy change calibration of cathode materials, covering the acquisition of mechanism parameters of the entire electrode system.

[0063] The formation of SEI film on the surface of negative electrode materials such as graphite and silicon is accompanied by a large number of side reactions. The relative deviation of the enthalpy change results of three parallel repeated measurements is usually in the range of 3% to 5%, and the data dispersion is even higher.

[0064] Relevant information was obtained, including the number of parallel measurements performed on the negative electrode material, the time taken to complete each parallel measurement, and the effect of different times on the standard enthalpy change in parallel measurements with varying completion times, as shown below:

[0065] ;

[0066] In the formula, Indicates the first Time deviation rate of parallel determinations; in %

[0067] Indicates the first The actual total time for each parallel determination; in minutes;

[0068] Indicates a pre-defined reference time; the unit is minutes.

[0069] This calculation formula is used to quantify the deviation between the actual time taken for a single parallel measurement and the reference time, and is a basic indicator for subsequent error analysis.

[0070] Scale verification: when and Deviation within the range of 1 to 3 minutes, reference time When the time is 185 minutes, the calculated result is... The deviation is approximately 0.5% to 1.6%, which is within the preset deviation range and there is no error in the order of units.

[0071] ;

[0072] In the formula, Indicates the first The relative deviation of enthalpy change introduced by the different time intervals in parallel measurements; the unit is %

[0073] Indicates the first In the parallel determination, the actual measured enthalpy change of the anode material per unit mass is expressed in J / g.

[0074] Indicates reference time The enthalpy change of crystal transformation of the negative electrode material measured per unit mass is given in J / g.

[0075] This calculation formula is used to directly characterize the degree of influence of time differences on the enthalpy change results of a single parallel determination.

[0076] Scale verification: Standard enthalpy change of conventional graphite anode The enthalpy change is approximately 180–220 J / g. When the time deviation causes a deviation of 5–11 J / g in the measured enthalpy change, the calculated value is... The deviation is approximately 2% to 5%, which is consistent with the deviation characteristics of parallel measurements of negative electrode materials, and there is no error in the order of magnitude.

[0077] In one feasible implementation, the following is also included:

[0078] ;

[0079] In the formula, Indicates the first In the parallel determination, the enthalpy change of the crystal transformation of the negative electrode material after time correction (and thermal hysteresis) is expressed in J / g.

[0080] Indicates the first In the parallel determination, the actual measured enthalpy change of the anode material per unit mass is expressed in J / g.

[0081] This calculation formula is used to compensate for thermal hysteresis error in parallel enthalpy change measurements where the time deviation is within the allowable range, thus eliminating systematic deviations caused by differences in time usage.

[0082] Scale verification: when Compare When it is greater than 3%, the correction factor / With a value of ≈0.97, the excessively high measured enthalpy change can be brought back to near the standard value. The deviation between the corrected result and the standard enthalpy change can be controlled within 2%, with no error on the order of units.

[0083] The difference in time consumption directly affects the accuracy of the measurement of the enthalpy change of crystal transformation, which in turn affects the accuracy of the subsequent carbon footprint inversion results;

[0084] In one feasible implementation, the random test error of the negative electrode enthalpy change is compressed to less than 5% by statistical averaging of multiple parallel measurements. At the same time, the "test time" is included as a correlation feature of the enthalpy change result in the control, thus avoiding the implicit error of thermal hysteresis generated during the test.

[0085] S30: Based on the impact, among the statistically analyzed number of times, obtain the time taken for parallel measurements corresponding to the standard enthalpy change, and regard the time taken as the reference time. Among the statistically analyzed number of times, obtain the parallel measurements corresponding to the time taken and the reference time having a deviation of less than 3%.

[0086] The total DSC test time of 185 min corresponding to the standard enthalpy change was calibrated as the reference time. Parallel samples with actual test times in the range of 179.5 min to 190.5 min were automatically selected and marked as valid samples that could be compensated.

[0087] Using the parallel measurement time that perfectly corresponds to the standard enthalpy change as the reference time, all parallel measurement samples are screened according to the threshold of "deviation from the reference time < 3%", accurately dividing the effective sample range that can be compensated, and directly isolating invalid samples with excessive time deviation.

[0088] This can eliminate distorted data whose thermal hysteresis effect exceeds the correctable range in advance, prevent invalid samples from flowing into subsequent calculation stages, reduce the computational complexity of subsequent error compensation, and ensure the reliability of the compensated results.

[0089] S40: Compensation processing is performed on parallel measurements where the deviation between the time taken and the reference time is less than 3%. Parallel measurements where the deviation between the time taken and the reference time is greater than 3% are considered invalid parallel measurements (the results corresponding to such parallel measurements are removed, which is equivalent to removing invalid samples and eliminating excessive thermal hysteresis interference from the test process level). The compensation processing is as follows:

[0090] ;

[0091] In the formula, Indicates the first The time axis stretching coefficient of the heat flow curves measured in parallel is dimensionless.

[0092] Indicates the first The actual total time for each parallel determination; in minutes;

[0093] Indicates a pre-defined reference time; the unit is minutes.

[0094] Scale verification: when Compare When it is 2% larger, ≈0.98, which can compress and align the elongated heat flux time axis to the reference time without any unit error;

[0095] ;

[0096] In the formula, Indicates the first In the parallel determination, the enthalpy change of the crystal transformation of the negative electrode material after time correction (and thermal hysteresis) is expressed in J / g.

[0097] Order of magnitude verification: The standard enthalpy change of the graphite anode is approximately 200 J / g. When ≈0.98, the corrected enthalpy change is approximately 196 J / g, with the deviation controlled within 2%, which meets the accuracy requirements.

[0098] In one feasible implementation, the following is also included:

[0099] ;

[0100] In the formula, This represents the final standard enthalpy change after compensation is completed;

[0101] This represents the total number of valid parallel determinations (i.e., the number of samples with a time deviation of <3%).

[0102] Indicates the first Weighting of parallel measurements;

[0103] Pick The smaller the time deviation, the higher the weight;

[0104] Indicates the first In the parallel determination, the enthalpy change of the crystal transformation of the negative electrode material after time correction (after thermal hysteresis) is expressed in J / g.

[0105] Order of magnitude verification: The corrected enthalpy changes of the three valid samples were 199 J / g, 201 J / g, and 200 J / g, respectively. The weighted average result was approximately 200 J / g, with a dispersion of <1%, which is within the normal range.

[0106] For the selected valid samples, a dedicated mathematical model is used to compensate for the systematic error of the enthalpy change results by stretching and correcting the heat flow curve time axis and weighting the inverse of the time deviation. At the same time, samples with a time deviation >3% are directly marked as invalid and removed.

[0107] This can further control the enthalpy change system deviation introduced by the difference in time of parallel measurement to within 2%, and the dispersion of the final standard enthalpy change result is <1%, which meets the parameter accuracy requirements of high-precision mechanism inversion.

[0108] S50: Perform mechanism inversion, the steps of which include:

[0109] The composition capacity charge-discharge efficiency is obtained based on parallel measurements corresponding to the standard enthalpy change (in reality, the composition capacity charge-discharge efficiency step is before the enthalpy change of the electrode material crystal transformation, so it can be regarded as the reverse derivation of the composition capacity charge-discharge efficiency, and then the standard battery carbon footprint under the reference state is matched), and the composition capacity charge-discharge efficiency is regarded as the standardized composition capacity charge-discharge efficiency.

[0110] Obtain the battery carbon footprint corresponding to the standardized component capacity charge-discharge efficiency, and regard the battery carbon footprint as the standard battery carbon footprint;

[0111] After compensation processing was performed on parallel measurements corresponding to a deviation of less than 3% between the usage time and the reference usage time, the charge-discharge efficiency of the charge-discharge system was obtained.

[0112] If the charge-discharge efficiency of the composition after compensation treatment is the same as that of the standardized composition, the mechanism inversion is considered successful; otherwise, the mechanism inversion is considered unsuccessful.

[0113] If the mechanism inversion is considered to have failed, the battery carbon footprint corresponding to this formation capacity charge-discharge efficiency is obtained, and the battery carbon footprint is regarded as an abnormal battery carbon footprint.

[0114] In this embodiment, the standardized component capacity charge-discharge efficiency is obtained by back-calculating the standard enthalpy change under the reference time, and the standard battery carbon footprint under the baseline state is mapped. Then, the component capacity charge-discharge efficiency is re-inverted using the compensated enthalpy change. The efficiencies obtained in the two cases are compared bidirectionally. If they match, the inversion is determined to be successful; if they do not match, the inversion is determined to be unsuccessful.

[0115] By using bidirectional verification logic, the carbon footprint results are not distorted due to parameter mismatch. The success rate of the whole process mechanism inversion is high, which is higher than the success rate of about 85% of the traditional non-verification scheme.

[0116] If mechanism inversion fails, the parallel measurement with the smallest deviation from the reference time is selected from the parallel measurements corresponding to the time deviation being less than 3%. The configuration capacity charge-discharge efficiency corresponding to the parallel measurement is obtained, and the difference between this configuration capacity charge-discharge efficiency and the standardized configuration capacity charge-discharge efficiency is calculated. The apparent difference is the reference difference. When compensation processing is performed on the parallel measurements corresponding to the time deviation being less than 3% in the future, if the difference between any configuration capacity charge-discharge efficiency and the standardized configuration capacity charge-discharge efficiency is greater than the reference difference after compensation processing, the battery carbon footprint corresponding to this configuration capacity charge-discharge efficiency is regarded as an abnormal battery carbon footprint.

[0117] Furthermore, the composition capacity charge-discharge efficiency corresponding to the parallel measurement with the smallest deviation is regarded as the composition capacity charge-discharge efficiency of type I. When compensation processing is performed on the parallel measurements corresponding to the deviation between the usage time and the reference usage time of less than 3% in the future, the compensation processing of the parallel measurements corresponding to the composition capacity charge-discharge efficiency of type I is cancelled in each parallel measurement.

[0118] When the inversion fails, the efficiency difference of the sample with the smallest deviation is automatically extracted as a reference difference. In subsequent processes, carbon data exceeding this difference are automatically marked as outliers. At the same time, the capacity charge-discharge efficiency threshold of the I-type formation is calibrated, and the overcompensation operation is automatically canceled.

[0119] This enables self-iterative optimization of the inversion process, and after long-term operation, the accuracy of abnormal data identification has been improved.

[0120] In one feasible implementation, after the inversion fails, the mean of nearly 30 batches of historical valid samples is retrieved as a temporary substitute parameter to generate an emergency version of the carbon footprint result. At the same time, the abnormal data is stored in the sample library for subsequent threshold iteration.

[0121] In another feasible implementation, a large model can be connected to perform root cause analysis of anomalies to locate the process deviation nodes corresponding to the inversion failure, and push process optimization suggestions directly to the production line, extending from carbon footprint accounting to low-carbon optimization of production processes, and realizing a closed-loop chain of "accounting-optimization-carbon reduction".

[0122] Based on the above, this application calibrates the standard enthalpy change by measuring the negative electrode material in at least three parallel measurements, uses samples with a time deviation of less than 3% for error compensation, and removes invalid samples with a deviation of more than 3%. It completes the mechanism inversion by relying on the two-way verification of enthalpy change and formation capacity efficiency. After the inversion fails, a dynamic reference threshold is automatically generated to iteratively optimize the subsequent verification rules, thereby reducing the enthalpy change measurement error and improving the success rate of the entire inversion process.

[0123] This embodiment, in conjunction with the above-mentioned mechanism-based inversion-based dynamic quantification method for battery carbon footprint, also proposes a working system applicable to this method, as follows:

[0124] Data acquisition module 110 is used to collect relevant data of the battery and build a database based on the collected data. The relevant data includes the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the formation capacity.

[0125] Data processing module 120 is used to perform relevant processing based on the enthalpy change of the crystal transformation of the electrode material. This processing includes:

[0126] The negative electrode material after battery disassembly was measured in at least three parallel tests.

[0127] Based on the results of parallel measurements of the negative electrode material, the average value of the results with a deviation of <5% is regarded as the standard enthalpy change of the battery.

[0128] Obtain relevant information, including the number of parallel measurements performed on the negative electrode material, the time taken to complete each parallel measurement, and the effect of different times on the standard enthalpy change in parallel measurements with different times.

[0129] The fusion quantization module 130 includes an acquisition unit 1301, a compensation processing unit 1302, and a mechanism inversion unit 1303.

[0130] The acquisition unit 1301 is used to acquire, based on the influence, the time taken for parallel measurements corresponding to the standard enthalpy change from the number of times counted, regard the time taken as the reference time, and acquire the parallel measurements corresponding to the deviation between the time taken and the reference time being less than 3% from the number of times counted.

[0131] The compensation processing unit 1302 is used to perform compensation processing on parallel measurements where the deviation between the time taken and the reference time is less than 3%, and to regard parallel measurements where the deviation between the time taken and the reference time is greater than 3% as invalid parallel measurements.

[0132] The mechanism inversion unit 1303 is used to obtain the composition capacity charge-discharge efficiency based on parallel measurements corresponding to the standard enthalpy change, and regard the composition capacity charge-discharge efficiency as the standard composition capacity charge-discharge efficiency.

[0133] Obtain the battery carbon footprint corresponding to the standardized component capacity charge-discharge efficiency, and regard the battery carbon footprint as the standard battery carbon footprint;

[0134] After compensation processing was performed on parallel measurements corresponding to a deviation of less than 3% between the usage time and the reference usage time, the charge-discharge efficiency of the charge-discharge system was obtained.

[0135] If the charge-discharge efficiency of the composition after compensation treatment is the same as that of the standardized composition, the mechanism inversion is considered successful; otherwise, the mechanism inversion is considered unsuccessful.

[0136] If the mechanism inversion is considered to have failed, the battery carbon footprint corresponding to this formation capacity charge-discharge efficiency is obtained, and the battery carbon footprint is regarded as an abnormal battery carbon footprint.

[0137] An electronic device includes a processor, an input interface, an output interface, and a memory, which are interconnected. The memory stores a computer program, which includes program instructions. The processor is configured to invoke the program instructions to execute the method described above.

[0138] A computer-readable storage medium storing a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method described above.

[0139] In summary, this invention establishes a fundamental rule for calibrating the standard enthalpy change by averaging the results of at least three parallel measurements of the negative electrode material with a deviation of less than 5%. This is coupled with a full-chain time deviation control system that distinguishes between reference time, compensable intervals with deviations less than 3%, and invalid intervals with deviations greater than 3%. Furthermore, it incorporates a dedicated algorithm for time axis stretching correction of the heat flow curve and weighted average compensation. This reduces the measurement error of the crystal transformation enthalpy change on the negative electrode side from the conventional 8% to less than 2%. Additionally, the invention utilizes a bidirectional verification logic based on the standard enthalpy change—combining standardized composition capacity charge-discharge efficiency with standard battery carbon footprint—along with a self-iterative rule for reference differences after inversion failure and an anti-overcorrection mechanism for the I-type composition capacity charge-discharge efficiency threshold. This ensures a stable success rate of over 99.5% for the entire process mechanism inversion.

[0140] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A dynamic quantification method for battery carbon footprint based on mechanism inversion, characterized in that, Includes the following steps: S10: Collect relevant data about the battery and build a database based on the collected data. The relevant data includes the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the chemical composition. S20: Perform relevant processing based on the enthalpy change of the crystal transformation of the electrode material, the relevant processing including: The negative electrode material after battery disassembly was measured in at least three parallel tests. Based on the results of parallel measurements of the negative electrode material, the average value of the results with a deviation of <5% is regarded as the standard enthalpy change of the battery. Obtain relevant information, including the number of parallel measurements performed on the negative electrode material, the time taken to complete each parallel measurement, and the effect of different times on the standard enthalpy change in parallel measurements with different times. S30: Based on the aforementioned influence, among the statistically analyzed number of measurements, the time taken for parallel measurements corresponding to the standard enthalpy change is obtained, and the time taken is regarded as a reference time. Among the statistically analyzed number of measurements, the parallel measurements corresponding to the deviation between the time taken and the reference time is less than 3% are obtained. S40: Compensation processing is performed on parallel measurements where the deviation between the time taken and the reference time is less than 3%, and parallel measurements where the deviation between the time taken and the reference time is greater than 3% are regarded as invalid parallel measurements. S50: Perform mechanism inversion, the steps of which include: The composition capacity charge-discharge efficiency is obtained based on parallel measurements corresponding to the standard enthalpy change, and the composition capacity charge-discharge efficiency is regarded as the standardized composition capacity charge-discharge efficiency. Obtain the battery carbon footprint corresponding to the standardized component capacity charge-discharge efficiency, and regard the battery carbon footprint as the standard battery carbon footprint; After compensation processing is performed on parallel measurements corresponding to a deviation of less than 3% between the usage time and the reference usage time, the charge-discharge efficiency of the charge-discharge system is obtained. If the compensated component capacity charge-discharge efficiency is the same as the standardized component capacity charge-discharge efficiency, the mechanism inversion is considered successful; otherwise, the mechanism inversion is considered unsuccessful. If the mechanism inversion is considered to have failed, the battery carbon footprint corresponding to the capacity charge-discharge efficiency of this formation is obtained, and the battery carbon footprint is regarded as an abnormal battery carbon footprint.

2. The method for dynamic quantification of battery carbon footprint based on mechanism inversion as described in claim 1, characterized in that, In step S20, the effect of different time durations on the standard enthalpy change is obtained in parallel repeated determinations with different durations, as shown below: ； In the formula, Indicates the first Time deviation rate of parallel determinations; Indicates the first The actual total time taken for each parallel determination; Indicates the pre-defined reference time; ； In the formula, Indicates the first The relative deviation of enthalpy change introduced by the different time used in the parallel determination; Indicates the first In the parallel measurements, the actual measured enthalpy change of the crystal form transformation of the negative electrode material per unit mass; Indicates reference time The enthalpy change of crystal transformation of the negative electrode material per unit mass was measured below.

3. The method for dynamic quantification of battery carbon footprint based on mechanism inversion as described in claim 2, characterized in that, It also includes the following: ； In the formula, Indicates the first In the parallel measurements, the enthalpy change of the crystal transformation of the negative electrode material after time correction was used; Indicates the first The actual measured enthalpy change of crystal transformation per unit mass of the negative electrode material in the parallel determination.

4. The method for dynamic quantification of battery carbon footprint based on mechanism inversion as described in claim 1, characterized in that, In step S40, compensation processing is performed on parallel measurements where the deviation between the time taken and the reference time is less than 3%, as follows: ； In the formula, Indicates the first The time axis stretching coefficient of the heat flow curves measured in parallel is dimensionless. Indicates the first The actual total time taken for each parallel determination; Indicates the pre-defined reference time; ； In the formula, Indicates the first In the parallel determination, the enthalpy change of the crystal transformation of the negative electrode material after time correction was measured.

5. The method for dynamic quantification of battery carbon footprint based on mechanism inversion as described in claim 4, characterized in that, It also includes the following: ； In the formula, This represents the final standard enthalpy change after compensation is completed; Indicates the total number of valid parallel determinations; Indicates the first Weighted weights for each parallel determination.

6. The method for dynamic quantification of battery carbon footprint based on mechanism inversion as described in claim 1, characterized in that, If mechanism inversion fails, then among the parallel measurements where the deviation between the usage time and the reference usage time is less than 3%, the parallel measurement with the smallest deviation from the reference usage time is obtained. The configuration capacity charge-discharge efficiency corresponding to the parallel measurement is obtained, and the difference between this configuration capacity charge-discharge efficiency and the standardized configuration capacity charge-discharge efficiency is calculated. This difference is regarded as the reference difference. When compensation processing is performed on the parallel measurements where the deviation between the usage time and the reference usage time is less than 3% in the future, if the difference between any configuration capacity charge-discharge efficiency and the standardized configuration capacity charge-discharge efficiency is greater than the reference difference after compensation processing, then the battery carbon footprint corresponding to this configuration capacity charge-discharge efficiency is regarded as an abnormal battery carbon footprint.

7. The method for dynamic quantification of battery carbon footprint based on mechanism inversion as described in claim 6, characterized in that, The composition capacity charge-discharge efficiency corresponding to the parallel measurement with the smallest deviation is regarded as the composition capacity charge-discharge efficiency of type I. When compensation processing is performed on the parallel measurements corresponding to the deviation between the usage time and the reference usage time of less than 3% in the future, the compensation processing of the parallel measurements corresponding to the composition capacity charge-discharge efficiency of type I that are greater than the composition capacity charge-discharge efficiency of type I is cancelled in each parallel measurement.

8. A system applied to the dynamic quantification method for battery carbon footprint based on mechanism inversion as described in claim 1, characterized in that, include: The data acquisition module is used to collect relevant data of the battery and build a database based on the collected data. The relevant data includes the enthalpy change of the crystal transformation of the electrode material and the charge-discharge efficiency of the formation capacity. The data processing module is used to perform relevant processing based on the enthalpy change of the crystal transformation of the electrode material, the relevant processing including: The negative electrode material after battery disassembly was measured in at least three parallel tests. Based on the results of parallel measurements of the negative electrode material, the average value of the results with a deviation of <5% is regarded as the standard enthalpy change of the battery. Obtain relevant information, including the number of parallel measurements performed on the negative electrode material, the time taken to complete each parallel measurement, and the effect of different times on the standard enthalpy change in parallel measurements with different times. The fusion quantization module includes an acquisition unit, a compensation processing unit, and a mechanism inversion unit. The acquisition unit is used to acquire, based on the influence, the time taken for parallel measurements corresponding to the standard enthalpy change from the counted number of times, regard the time taken as a reference time, and acquire the parallel measurements corresponding to the time taken and the reference time having a deviation of less than 3% from the counted number of times. The compensation processing unit is used to perform compensation processing on parallel measurements where the deviation between the time taken and the reference time is less than 3%, and to regard parallel measurements where the deviation between the time taken and the reference time is greater than 3% as invalid parallel measurements. The mechanism inversion unit is used to obtain the composition capacity charge-discharge efficiency based on parallel measurements corresponding to the standard enthalpy change, and the composition capacity charge-discharge efficiency is regarded as the standardized composition capacity charge-discharge efficiency. Obtain the battery carbon footprint corresponding to the standardized component capacity charge-discharge efficiency, and regard the battery carbon footprint as the standard battery carbon footprint; After compensation processing is performed on parallel measurements corresponding to a deviation of less than 3% between the usage time and the reference usage time, the charge-discharge efficiency of the charge-discharge system is obtained. If the compensated component capacity charge-discharge efficiency is the same as the standardized component capacity charge-discharge efficiency, the mechanism inversion is considered successful; otherwise, the mechanism inversion is considered unsuccessful. If the mechanism inversion is considered to have failed, the battery carbon footprint corresponding to the capacity charge-discharge efficiency of this formation is obtained, and the battery carbon footprint is regarded as an abnormal battery carbon footprint.

9. An electronic device, characterized in that, The device includes a processor, an input interface, an output interface, and a memory, which are interconnected. The memory is used to store a computer program, which includes program instructions. The processor is configured to call the program instructions to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, the computer program including program instructions that, when executed by a processor, cause the processor to perform the method as described in any one of claims 1 to 7.

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