Distribution network backup power supply model correction method based on hybrid capacitor battery
Through the five-and-four-line two-wheel cycle model correction method, a personalized backup power supply model is generated, which solves the problem of lack of personalization and accuracy in the life cycle of the model in the existing technology, and achieves more accurate status monitoring and early warning.
Patent Information
- Application Number
- CN202411184570.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-27
- Publication Date
- 2024-12-31
AI Technical Summary
The existing backup power model lacks personalization and accuracy during the life cycle, and the general model cannot effectively reflect the subtle differences in the product, resulting in insufficient accuracy in status monitoring and early warning.
The five-interval and four-direct two-wheel cycle model correction method is adopted to conduct strategic experiments on the parameters such as AC internal resistance, DC internal resistance, voltage and current of the backup power supply under standard ambient temperature, and use the model correction algorithm to generate a personalized model and follow the Product life cycle operation.
It realizes a more accurate expression of the backup power state, improves the product's traceability, monitoring and status warning capabilities, and ensures the personalization and accuracy of the model.
Smart Images
Figure CN119224583A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a backup power supply AC and DC internal resistance testing technology, the coupling of capacity with AC internal resistance and DC internal resistance at standard ambient temperature, and in particular to a distribution network backup power supply model correction technology method based on a hybrid capacitor battery. Technical Background
[0002] General backup power supply AC internal resistance testing technology, backup power supply DC internal resistance testing technology, coupling of capacity with AC internal resistance and DC internal resistance at standard ambient temperature, distribution network backup power supply model correction technology based on hybrid capacitor battery.
[0003] 1. Battery internal resistance: refers to the resistance encountered by current flowing through the battery when the battery is working. It is generally divided into AC internal resistance and DC internal resistance.
[0004] (1) Backup power supply AC internal resistance test technology: Battery AC internal resistance refers to the internal resistance of the battery in an AC circuit, which is usually used to describe the performance of the battery in an AC circuit.
[0005] (2) Backup power supply DC internal resistance test technology: ① AC internal resistance method: The AC internal resistance method is a method of measuring the battery's AC internal resistance by using the battery's response characteristics in an AC circuit. This method requires the use of an AC signal source and an AC voltmeter for measurement. By analyzing the battery's response characteristics at different frequencies, the battery's AC internal resistance can be calculated. ② DC internal resistance method: The DC internal resistance method is a method of measuring the battery's AC internal resistance by using the battery's response characteristics in a DC circuit. This method requires the use of a DC power supply and an ammeter for measurement. By analyzing the battery's voltage response characteristics at different currents, the battery's AC internal resistance can be calculated.
[0006] 2. The distribution network backup power supply model based on hybrid capacitor battery uses a table to characterize the state model of the backup power supply that accompanies the product throughout its life. The model can not only trace the source, but also monitor the operating status and make predictions and early warnings. Digital model synchronization can also be achieved between humans and machines through communication.
[0007] In order to improve the personalization and accuracy of the backup power supply model, the current general model is not accurate enough during the life cycle, and the product model is determined to have more distinct characteristics and accurate personalization during the life cycle.
[0008] Currently, products use universal models for life cycle management. Personalization of products is achieved by improving manufacturing techniques and precision manufacturing processes to ensure product consistency. There is a lack of digital means, and there is little involvement in personalized product processing technology and model correction technology.
[0009] The present invention obtains process data by adding special tests during the test and inspection process. Under standard temperature, strategic tests are conducted on product parameters such as SOX, AC internal resistance, DC internal resistance, voltage, current, etc., to obtain characteristic data under different conditions, and the model is corrected according to the correction algorithm to obtain a personalized model and run along with the product life cycle.
[0010] General model: The general model refers to the digital expression of the backup power product, including the product's material information, manufacturing information, batch product information, electrical characteristics information, life cycle information, alarm warning, etc. The common external performance information includes voltage value, current value, SOH, SOC, etc. The general model is generated by training based on the information of a large number of batches of products.
[0011] Personalized model: Personalized model refers to the digital expression of a single backup power supply, which is distributed synchronously with the product. Based on the general model, the electrical characteristic value is corrected through a special test process, making the electrical characteristic value of the product more accurate, and the external performance information such as voltage value, current value, SOH, SOC, etc. more accurate.
[0012] Model correction algorithm: By inputting test data under various set environments, such as the initial temperature constant, initial voltage constant, and initial SOC constant, standard tests are performed according to the test method to obtain the test data set for data fitting, and then deviation analysis is performed with the standard value to output the correction value.
[0013] After a long period of research, the applicant proposed a method to correct the distribution network backup power supply model based on hybrid capacitor batteries through a five-AC and four-DC two-cycle model correction method, and released a personalized model to run during the product life cycle. The personalized model can more accurately express the status of the backup power supply, which is conducive to product traceability, monitoring, management and status warning. Summary of the invention
[0014] The present invention discloses a method for correcting a distribution network backup power supply model based on a hybrid capacitor battery, and aims to effectively calibrate the subtle differences between batches of products during the manufacturing process, correct the general model, form and publish a personalized model of the product, and accompany the product throughout its life cycle.
[0015] The present invention is implemented in this way, a distribution network backup power supply model correction method based on hybrid capacitor battery, characterized in that: the method is a five-AC four-DC two-cycle model correction method, during the product inspection and capacity verification test process, the model correction and personalized release are realized through this method.
[0016] In the above-mentioned distribution network backup power supply model correction method based on hybrid capacitor battery, the product inspection and core capacity test process is divided into six stages for distributed testing.
[0017] In the above-mentioned method for correcting the distribution network backup power supply model based on hybrid capacitor battery, the following steps are included:
[0018] Step 1: quickly charge the backup power supply to 100% capacity, let it stand for several minutes, and then enter the AC internal resistance test process. By adding an AC signal with a fixed amplitude and frequency externally, monitor the response value of the AC signal between the positive and negative electrodes, and output the AC internal resistance value ACR0 according to the response value;
[0019] Step 2, discharge at a discharge current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, record the discharge curve at a fixed time period, discharge to 75% capacity, stop discharging, record the curve until several minutes after the current is 0, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, and output the DCR1 data group; after stopping the curve recording, enter the AC internal resistance test process, monitor the response value of the AC signal between the positive and negative electrodes by externally adding an AC signal with a fixed amplitude and frequency, and output the AC internal resistance value ACR1 according to the response value;
[0020] Step 3, discharge at a discharge current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, record the discharge curve at a fixed time period, discharge to 25% capacity, stop discharging, record the curve until several minutes after the current is 0, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, output the DCR2 data group, stop curve recording and enter the AC internal resistance test process, monitor the response value of the AC signal between the positive and negative electrodes by externally adding an AC signal with a fixed amplitude and frequency, and output the AC internal resistance value ACR2 according to the response value;
[0021] Step 4, charge at a charging current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, perform constant current charging at a current of 1C, record the charging curve at a fixed time period, charge to 100% capacity, stop charging, record the curve until the current is 0 for several minutes, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, output the DCR3 data group, stop curve recording and enter the AC internal resistance test process, add an AC signal with a fixed amplitude and frequency externally, monitor the response value of the AC signal between the positive and negative electrodes, and output the AC internal resistance value ACR3 according to the response value;
[0022] Step 5, discharge at a discharge current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, perform constant current discharge at a current of 1C, record the discharge curve at a fixed time period, discharge to 50% capacity, stop discharging, record the curve until several minutes after the current is 0, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, output the DCR4 data group, stop curve recording and enter the AC internal resistance test process, add an AC signal externally, monitor the response value of the AC signal between the positive and negative electrodes, and output the AC internal resistance value ACR4 according to the response value;
[0023] Step 6: Input the data into the model correction algorithm, perform model correction, obtain a personalized model, and publish it in the backup power supply.
[0024] In the above-mentioned distribution network backup power supply model correction method based on hybrid capacitor battery, the process of entering the AC internal resistance test is: after starting, loading a specified amplitude AC signal, monitoring the response value, and outputting ARC.
[0025] In the above-mentioned distribution network backup power supply model correction method based on hybrid capacitor battery, the direct start DC internal resistance measurement process is: after starting, the battery is left to stand for several minutes, the real-time measurement values T0, V0 are output, and the charging / discharging curve is recorded according to the rated rate. After that, the charging / discharging current is 0, and it is left to stand for several minutes, and the recording is stopped, and the data group DCR is output.
[0026] In the above-mentioned method for correcting a distribution network backup power supply model based on a hybrid capacitor battery, the several minutes of standing still is 5 minutes.
[0027] In the above-mentioned distribution network backup power supply model correction method based on hybrid capacitor battery, in step 6, nine data of ACR0, ACR1, ACR2, ACR3, ACR4, DCR1, DCR2, DCR3 and DCR4 are input into the model correction algorithm for model correction.
[0028] In the above-mentioned method for correcting a distribution network backup power supply model based on a hybrid capacitor battery, the data group data is DCR, T0, U0, T1, U1, △t1.
[0029] In the above-mentioned method for correcting a distribution network backup power supply model based on a hybrid capacitor battery, the number of minutes after the curve is recorded to be 0 is five minutes.
[0030] In the above-mentioned distribution network backup power supply model correction method based on hybrid capacitor battery, in step 5, an AC signal with fixed amplitude and frequency is added externally to monitor the response value of the AC signal between the positive and negative electrodes.
[0031] The beneficial effect of the present invention is that the personalized model in the present invention can more accurately express the status of the backup power supply, which is beneficial to product traceability, monitoring, management and status warning. The present invention can realize the correction of the distribution network backup power supply model based on hybrid capacitor batteries through the five-AC four-DC two-wheel cycle model correction method, publish personalized models, and run within the product life cycle. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] Figure 1 It is a schematic diagram of the main process of the model correction method of the present invention;
[0033] Figure 2 It is a schematic diagram of the feature quantity input model correction algorithm of the present invention;
[0034] Figure 3 It is a schematic diagram of the AC internal resistance measurement process in the present invention;
[0035] Figure 4 It is a schematic diagram of the DC internal resistance measurement process in the present invention. DETAILED DESCRIPTION
[0036] The present invention will be further described below in conjunction with the accompanying drawings.
[0037] The present invention provides a five-AC four-DC two-wheel cycle model correction method, which realizes model correction and personalized release during product inspection and nuclear capacity testing.
[0038] The product inspection and testing process is divided into six stages for distributed testing.
[0039] See also Figure 1 ,The model revision method is detailed as follows: The backup power source enters the ,test environment, including the following steps.
[0040] (1) Quickly charge the backup power supply to 100% capacity, let it stand for 5 minutes, and then enter the AC internal resistance test process. Figure 3 , Schematic diagram of the AC internal resistance measurement process, by adding an AC signal with fixed amplitude and frequency externally, monitoring the response value of the AC signal between the positive and negative poles, and outputting the AC internal resistance value ACR0 based on the response value.
[0041] (2) Discharge at a discharge current of 1C and directly start the DC internal resistance measurement process. Figure 4, Schematic diagram of the DC internal resistance measurement process, first stand for 5 minutes to ensure that the voltage and current are stable without external correlation, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, and record the discharge curve at a fixed time period, discharge to 75% capacity, stop discharging, and record the curve until the current reaches 0 for five minutes, and record the temperature T1 and voltage U1 values. Obtain the DC internal resistance value DCR through curve calculation, and output the DCR1 data group {DCR, T0, U0, T1, U1, △t1}. After stopping the curve recording, enter the AC internal resistance test process, see Figure 3 , Schematic diagram of the AC internal resistance measurement process, by adding an AC signal with fixed amplitude and frequency externally, monitoring the response value of the AC signal between the positive and negative poles, and outputting the AC internal resistance value ACR1 based on the response value.
[0042] (3) Discharge at a discharge current of 1C and directly start the DC internal resistance measurement process. Figure 4 , Schematic diagram of DC internal resistance measurement process, first stand for 5 minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, record the discharge curve at a fixed time period, discharge to 25% capacity, stop discharging, record the curve until the current is 0 for five minutes, and record the temperature T1 and voltage U1 values. Obtain the DC internal resistance value DCR through curve calculation, and output the DCR2 data group {DCR, T0, U0, T1, U1, △t1}. After stopping the curve recording, enter the AC internal resistance test process (see 1.3 Schematic diagram of AC internal resistance measurement process) by adding an AC signal with a fixed amplitude and frequency externally, monitor the response value of the AC signal between the positive and negative poles, and output the AC internal resistance value ACR2 according to the response value.
[0043] (4) Charge at 1C current and directly start the DC internal resistance measurement process. Figure 4 , Schematic diagram of DC internal resistance measurement process, first stand for 5 minutes to ensure that the voltage and current are stable without external correlation, and record the temperature T0 and voltage U0 values, charge at a constant current of 1C, record the charging curve at a fixed time period, charge to 100% capacity, stop charging, record the curve until the current is 0 for five minutes, and record the temperature T1 and voltage U1 values. Obtain the DC internal resistance value DCR through curve calculation, and output the DCR3 data group {DCR, T0, U0, T1, U1, △t1}. After stopping the curve recording, enter the AC internal resistance test process, see Figure 3 , Schematic diagram of the AC internal resistance measurement process, by adding an AC signal with fixed amplitude and frequency externally, monitoring the response value of the AC signal between the positive and negative poles, and outputting the AC internal resistance value ACR3 based on the response value.
[0044] (5) Discharge at a discharge current of 1C and directly start the DC internal resistance measurement process. Figure 4 , Schematic diagram of DC internal resistance measurement process, first stand for 5 minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, record the discharge curve at a fixed time period, discharge to 50% capacity, stop discharging, record the curve until the current is 0 for five minutes, and record the temperature T1 and voltage U1 values. Obtain the DC internal resistance value DCR through curve calculation, and output the DCR4 data group {DCR, T0, U0, T1, U1, △t1}. After stopping the curve recording, enter the AC internal resistance test process (see 1.3 Schematic diagram of AC internal resistance measurement process) by adding an AC signal with a fixed amplitude and frequency externally, monitor the response value of the AC signal between the positive and negative poles, and output the AC internal resistance value ACR4 according to the response value.
[0045] (6) Replace ACR0, ACR1, ACR2, ACR3, and ACR4. DCR1{DCR, T0, U0, T1, U1, △t1}, DCR2{DCR, T0, U0, T1, U1, △t1}, DCR3{DCR, T0, U0, T1, U1, △t1}, and DCR4{DCR, T0, U0, T1, U1, △t1}, see Figure 2 ,Schematic diagram of the model correction algorithm for inputting feature quantities, ,Nine data are input into the model correction algorithm, and ,the model is corrected to obtain a personalized model, which ,is published in the backup power supply.
[0046] The present invention is described in detail above in conjunction with the embodiments of the accompanying drawings. A person skilled in the art can make various variations of the present invention according to the above description. Therefore, certain details in the embodiments should not constitute a limitation of the present invention, and the scope of protection of the present invention shall be defined by the scope of the attached claims.
Claims
1. A method for correcting a distribution network backup power supply model based on a hybrid capacitor battery, characterized in that: This method is a five-AC and four-DC two-wheel cycle model correction method. During product inspection and nuclear capacity testing, this method can be used to achieve model correction and personalized release.
2. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 1, characterized in that: The product inspection and nuclear capacity testing process is divided into six stages for distributed testing.
3. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 2 comprises the following steps: Step 1: quickly charge the backup power supply to 100% capacity, let it stand for several minutes, and then enter the AC internal resistance test process. By adding an AC signal with a fixed amplitude and frequency externally, monitor the response value of the AC signal between the positive and negative electrodes, and output the AC internal resistance value ACR0 according to the response value; Step 2, discharge at a discharge current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, record the discharge curve at a fixed time period, discharge to 75% capacity, stop discharging, record the curve until several minutes after the current is 0, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, and output the DCR1 data group; after stopping the curve recording, enter the AC internal resistance test process, monitor the response value of the AC signal between the positive and negative electrodes by externally adding an AC signal with a fixed amplitude and frequency, and output the AC internal resistance value ACR1 according to the response value; Step 3, discharge at a discharge current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, discharge at a constant current of 1C, record the discharge curve at a fixed time period, discharge to 25% capacity, stop discharging, record the curve until several minutes after the current is 0, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, output the DCR2 data group, stop curve recording and enter the AC internal resistance test process, monitor the response value of the AC signal between the positive and negative electrodes by externally adding an AC signal with a fixed amplitude and frequency, and output the AC internal resistance value ACR2 according to the response value; Step 4, charge at a charging current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, perform constant current charging at a current of 1C, record the charging curve at a fixed time period, charge to 100% capacity, stop charging, record the curve until the current is 0 for several minutes, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, output the DCR3 data group, stop curve recording and enter the AC internal resistance test process, add an AC signal with a fixed amplitude and frequency externally, monitor the response value of the AC signal between the positive and negative electrodes, and output the AC internal resistance value ACR3 according to the response value; Step 5, discharge at a discharge current of 1C, directly start the DC internal resistance measurement process, let it stand for several minutes to ensure that the voltage and current are stable without external association, and record the temperature T0 and voltage U0 values, perform constant current discharge at a current of 1C, record the discharge curve at a fixed time period, discharge to 50% capacity, stop discharging, record the curve until several minutes after the current is 0, record the temperature T1 and voltage U1 values, obtain the DC internal resistance value DCR through curve calculation, output the DCR4 data group, stop curve recording and enter the AC internal resistance test process, add an AC signal externally, monitor the response value of the AC signal between the positive and negative electrodes, and output the AC internal resistance value ACR4 according to the response value; Step 6: Input the data into the model correction algorithm, perform model correction, obtain a personalized model, and publish it in the backup power supply.
4. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3 is characterized in that: The process of entering the AC internal resistance test is as follows: after starting, an AC signal of a specified amplitude is loaded, a response value is monitored, and an ACR is output.
5. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3, characterized in that: The direct start DC internal resistance measurement process is as follows: after starting, the battery is left to stand for several minutes, the real-time measurement values T0 and V0 are output, and the charge / discharge curve is recorded according to the rated rate. After that, the charge / discharge current is 0, and it is left to stand for several minutes, and the recording is stopped, and the data group DCR is output.
6. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3, characterized in that: The said standing still for several minutes is 5 minutes.
7. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3, characterized in that: In step 6, nine data of ACR0, ACR1, ACR2, ACR3, ACR4, DCR1, DCR2, DCR3 and DCR4 are input into the model correction algorithm to perform model correction.
8. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3, characterized in that: The data group data are DCR, T0, U0, T1, U1, △t1.
9. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3, characterized in that: The curve is recorded until the current reaches zero for several minutes, which is five minutes.
10. The method for correcting a distribution network backup power supply model based on a hybrid capacitor battery according to claim 3, characterized in that: In step 5, an AC signal with fixed amplitude and frequency is added externally to monitor the response value of the AC signal between the positive and negative electrodes.