Method and system for determining optimal capacity of lithium carbonate battery

Abstract

The invention discloses a method and a system for determining the optimal capacity of a lithium carbonate battery, relates to the technical field of battery capacity, and solves the technical problem of capacity determination deviation caused by scene-parameter disjunction and efficiency and safety imbalance. Parameters such as power demand, service time and environment temperature are refined, matching of capacity and actual demand is ensured, energy loss of a battery body and a system is quantified, capacity is dynamically adjusted in combination with temperature and charge-discharge rate, energy utilization rate is improved, safety margin is designed based on discharge depth, battery aging and monomer consistency, working conditions such as normal temperature, low temperature and high-rate discharge are covered, and the service life of the battery is prolonged. Through peak power and current carrying capacity verification, potential safety hazards are identified in advance, a closed loop of use scene-power demand-energy conversion efficiency-safety margin-capacity verification is established, dynamic factors such as temperature reduction and aging attenuation are covered, and capacity design errors are reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery capacity, in particular to a method and system for determining the optimal capacity of a lithium carbonate battery. BACKGROUND

[0002] With the rapid development of the new energy industry, lithium carbonate batteries are widely used in electric vehicles, consumer electronics, energy storage and other scenarios. Different use scenarios have significantly different battery capacity requirements. For example, electric vehicles need to balance range and space, mobile phones pursue portability and balance, and energy storage systems focus on cost and life.

[0003] According to the patent application with publication number CN111125894A, a method and system for determining the optimal capacity of a battery are disclosed. The method for determining the optimal capacity of the battery takes into account the temperature requirements that the battery must meet. The battery designed according to the parameters corresponding to the maximum battery capacity determined by the method for determining the optimal capacity of the battery provided in the present application can achieve a capacity as large as possible while meeting the demand for the thermal characteristics of the battery monomer itself.

[0004] The prior art has the following shortcomings when determining the optimal capacity of the battery: The use scenarios (such as high-temperature and low-temperature environments) and battery performance (capacity, charging and discharging efficiency, and life) are not systematically related, resulting in a disconnect between capacity design and actual demand; The coupling relationship analysis of energy conversion efficiency, safety margin, and discharge depth is insufficient, and the capacity calculation ignores dynamic factors such as temperature and aging; There is a lack of standardized procedures for verifying peak power and current carrying capacity, and extreme conditions (such as low temperature and high rate discharge) are not covered, which can easily cause safety hazards. SUMMARY

[0005] To address the shortcomings of the prior art, the present application provides a method and system for determining the optimal capacity of a lithium carbonate battery, which solves the problem of capacity determination deviation caused by the disconnection between scenarios and parameters and the imbalance between efficiency and safety.

[0006] To achieve the above purpose, the present application realizes the following technical solutions: a method for determining the optimal capacity of a lithium carbonate battery, which specifically includes the following steps: Calculate the basic capacity value of the lithium carbonate battery based on the power demand and use duration of the device, and convert it to battery capacity to obtain battery capacity information; Calculate the total loss efficiency by obtaining the capacity conversion efficiency and device loss efficiency, analyze the impact of temperature on it to determine the temperature reduction coefficient, and calculate the actual demand capacity by integrating the battery capacity information; The actual demand capacity is adjusted by calculating the battery safety margin and depth of discharge separately, and then combining the two to calculate the corrected actual demand capacity. The current carrying capacity of the corrected actual demand capacity is verified. The instantaneous current of the equipment is calculated and compared with the maximum discharge current of the battery. An adjustment processing signal is generated, the number of parallel groups is determined based on the parallel relationship of the batteries, and the optimal capacity information is generated.

[0007] As a further aspect of the present invention, the specific method for obtaining the battery capacity information is as follows: Obtain the application scenarios for lithium carbonate batteries, determine the equipment power requirements and usage duration, and apply formula E. 需求 =P×T 时长 The calculated energy demand E 需求 Where P is the equipment power, T 时长 For usage duration; According to the formula Q=E 需求 / V 标称 The battery capacity Q is calculated, where V 标称 This refers to the battery's nominal voltage.

[0008] As a further aspect of the present invention, the specific method for calculating the actual required capacity based on the comprehensive battery capacity information is as follows: Obtain the battery's charge and discharge efficiency and system equipment wear efficiency According to the formula = × Calculate the overall efficiency Analyze the effect of temperature on overall efficiency The influence of temperature reduction factor K T And calculate based on the overall attenuation rate, according to the formula The actual required capacity Q1 is calculated.

[0009] As a further aspect of the present invention, the specific method for determining the temperature reduction factor by analyzing the effect of temperature on overall efficiency is as follows: Capacity tests were conducted at different temperatures. The cells were discharged at a constant current of 0.2C at various temperatures, and the corresponding capacity at each temperature was recorded. The fitting pattern was determined, and then the formula was applied. The capacity retention rate at the reference temperature is calculated and denoted as the temperature reduction factor K. T .

[0010] As a further aspect of the present invention, the specific method for correcting the actual demand capacity is as follows: Obtain the battery's discharge capacity and rated capacity, and calculate the depth of discharge (DOD) using the formula: Depth of Discharge = (Discharge Capacity / Rated Capacity) × 100%. Then, obtain the battery's nominal voltage (V). 标称 At the same time, according to formula E 实际 =E 需求 / The actual energy requirement E of the battery is calculated. 实际 Then, the obtained depth of discharge (DOD) and nominal voltage (V) are substituted into the formula. The safe capacity Q of the battery is calculated. 安全 ; The actual required capacity Q1, depth of discharge DOD, and safe capacity Q are used. 安全 Substitute into the formula The corrected actual demand capacity Q2 is calculated.

[0011] As a further aspect of the present invention, the specific method for verifying the current carrying capacity of the corrected actual demand capacity is as follows: Obtain a lithium carbonate battery and charge it to the target SOC. Let it rest for 30 minutes, then perform short-term constant current discharge at different currents. Record the voltage drop curves and the power P=U at each current. 平均 ×I, and plot the "current-power" curve, finding the maximum power where the voltage is not lower than the cutoff threshold, denoted as P. peak Then according to formula I peak =P peak / V 标称 The instantaneous current I corresponding to the peak power of the equipment is calculated. peak And the maximum discharge current I max =C×Q 额定 And C is the charge / discharge rate, Q 额定 This indicates the battery's rated capacity.

[0012] As a further aspect of the present invention, the specific method for determining the number of parallel groups and generating optimal capacity information based on the parallel connection relationship of batteries is as follows: Instantaneous current I peak With the battery's maximum discharge current I max Comparison, if the instantaneous current I peak ≥I max If the instantaneous current I0 is not met, it indicates that the direct discharge requirement is not met, and an adjustment processing signal is generated. peak max This indicates that the direct discharge requirement is met, and optimal capacity information is generated; Next, the generated adjustment signal is analyzed according to formula I. 单组 =I peak / N, calculates the number of parallel groups N, and generates optimal capacity information at the same time.​

[0013] A system for determining the optimal capacity of a lithium carbonate battery, comprising a battery information acquisition module for acquiring basic information of the lithium carbonate battery and transmitting it to a capacity loss correction processing module, wherein the basic information includes battery use scenarios and power demand parameters; The capacity loss correction processing module is used for calculating the battery energy demand according to the obtained basic information, converting it into battery capacity, obtaining the battery conversion efficiency and device loss efficiency, and comprehensively calculating the obtained battery capacity to obtain the actual demand capacity in combination with temperature influence analysis, and transmitting it to a safety margin and discharge depth correction processing module; The safety margin and discharge depth correction processing module is used for analyzing the actual demand capacity, calculating the safety margin and discharge depth of the battery respectively, and correcting the actual demand capacity by comprehensively calculating it, to obtain the corrected actual demand capacity, and transmitting it to a carrying capacity verification analysis module; The carrying capacity verification analysis module is used for verifying the obtained corrected actual demand capacity, obtaining the device peak power and calculating its instantaneous current, comparing it with the maximum discharge current of the battery, generating an adjustment processing signal or optimal capacity information, then analyzing the former, obtaining the number of parallel groups according to the parallel current calculation formula, generating the optimal capacity information, and transmitting it to a capacity determination information output module; The capacity determination information output module is used for displaying the obtained optimal capacity information to the corresponding management personnel.

[0014] The present application provides a kind of lithium carbonate battery optimal capacity determination method and system.Compared with prior art, it has the following beneficial effects: The present application distinguishes electric vehicles, consumer electronics, energy storage and other scenarios, refines power demand, use time, environmental temperature and other parameters, ensures that capacity matches actual demand, quantifies energy loss of battery body and system, dynamically adjusts capacity in combination with temperature, charge and discharge rate, improves energy utilization, designs safety margin based on discharge depth, battery aging and monomer consistency, covers normal temperature, low temperature, high rate discharge and other working conditions, identifies safety hazards in advance through peak power and current carrying capacity verification, establishes a closed loop of "use scenario-power demand-energy conversion efficiency-safety margin-capacity verification", covers dynamic factors such as temperature reduction and aging attenuation, and reduces capacity design error. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 The present application is a step method diagram; Figure 2 The present application is a system block. DETAILED DESCRIPTION

[0016] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the scope of the present application.

[0017] Embodiment one

[0018] Please refer to Figure 1 The present application provides a method for determining the optimal capacity of a lithium carbonate battery, which specifically comprises the following steps: Step S1, obtaining the use scenario of the lithium carbonate battery, and obtaining the corresponding power demand parameters according to the use scenario, and specifically including the device power demand and the use duration, and at the same time, calculating the basic capacity value based on the device power demand (such as the battery capacity converted from the driving range of an electric vehicle), the use duration (such as the standby time of a mobile phone), etc., and according to the formula E 需求 =P×T 时长 , the energy demand E 需求 is calculated, wherein P is the device power, and T 时长 is the use duration; For example, if an electric vehicle needs to drive for 300 kilometers, and the average power consumption is 150 Wh / km, then the total energy demand is: E 需求 =150 Wh / kmx300 km=45000 Wh=45 kWh.

[0019] Convert the energy demand into the battery capacity, and according to the formula Q=E 需求 / V 标称 , the battery capacity Q is calculated, wherein V 标称 is the nominal voltage of the battery (unit: V, such as the nominal voltage of a ternary lithium battery is about 3.7 V, and the nominal voltage of a lithium iron phosphate battery is about 3.2 V).

[0020] Step S2, based on the obtained battery capacity, the energy conversion efficiency and the loss are corrected, and the specific correction processing method is as follows: Obtain the charging and discharging efficiency of the battery and the system device loss efficiency , specifically, the values of the charging and discharging efficiency of the battery at different temperatures are different, the normal temperature (25℃), 1C charging and discharging: the ternary lithium / lithium iron phosphate efficiency is about 90%~95% (close to 95% under small current, and reduced to 90% under large current due to polarization aggravation); Low temperature (-20℃), 2C discharging: the efficiency is reduced to 70%~80% (ion migration is blocked, and lithium loss is significant); High SOC interval (such as 90%-100%): charging efficiency drops to 85%-90% (overcharge side reaction consumes energy); System device loss efficiency also varies based on the corresponding loss efficiency of different devices. Small devices (such as mobile phones, drones): BMS + circuit loss is about 3%-5% (low power inverter proportion can be ignored); Electric vehicles (on-board charger + inverter): system loss is about 5%-8% (can be reduced to 5% after optimization of high-power devices); Large-scale energy storage power station (PCS power conversion system): inverter efficiency is about 96%-98% (due to large power and topology optimization), plus BMS and cable, total system loss is about 4%-6%, so the actual situation needs to be considered when analyzing efficiency.

[0021] At the same time, the obtained efficiency is calculated comprehensively, according to the formula = × The total efficiency is calculated, then the influence of temperature on the total efficiency is analyzed, and the specific analysis method is as follows: Through capacity test at different temperatures, the capacity retention rate at the reference temperature (usually 25°C) is calculated according to the formula , and recorded as temperature reduction coefficient K T , where Q T温 is the actual available capacity at temperature T, Q 标 is the capacity at 25°C reference temperature. For example, take ternary lithium battery as an example, discharge at 0.2C constant current at-20°C, -10°C, 0°C, 25°C, 40°C and 60°C, record the capacity at each temperature, as shown in the following table:

[0022] Fitting rule: at low temperature (<25°C), the capacity decreases approximately linearly with temperature (such as from-20°C to 25°C, the capacity decreases by about 2%-5% per 10°C decrease); at high temperature (>25°C), due to accelerated side reaction, the capacity first increases slightly and then decreases (in the interval of 40°C-60°C, the capacity stability of iron phosphate lithium is better than that of ternary lithium).

[0023] At the same time, the corresponding decay rate of the battery is obtained, and then the temperature reduction coefficient is calculated according to the formula to obtain the actual required capacity Q1.

[0024] For example, a certain electric vehicle needs to travel 400km, with power consumption of 150Wh / km, and the battery capacity required for configuration (assuming 25°C, 1C charging and discharging, system loss 5%), battery efficiency (1C charging and discharging, 25°C): = 92%, system device efficiency (on-board charger + inverter): = 95%, first calculate the total energy requirement E 需求 = 60 kWh, considering the total efficiency, back-calculate the energy that the battery needs to output: = × = 92% x 95% = 87.4%, then according to the formula E 电池 = E 需求 / = 60 kWh / 0.874 = 68.65 kWh, combined with the battery voltage V 标称 = 370 V, comprehensive calculation, Q1 = E 电池 / V = 68650 Wh / 370 = 185.5 Ah.

[0025] Step S3, analyze the actual demand capacity obtained, and comprehensively correct the safety margin and discharge depth of the battery, and the specific correction processing mode is as follows: Get the discharge capacity of the battery and the rated capacity of the battery, and calculate the discharge depth DOD of the battery according to the formula discharge depth = (discharge capacity / rated capacity) x 100%, then get the nominal voltage V 标称 of the battery, and according to the formula E 实际 = E 需求 / , calculate the actual energy requirement E 实际 of the battery, then substitute the obtained discharge depth DOD and nominal voltage V into the formula to calculate the safety capacity Q 安全 of the battery; Substitute the actual demand capacity Q1, discharge depth DOD and safety capacity Q 安全 into the formula to calculate the corrected actual demand capacity Q2; according to the definition of discharge depth, the actual demand capacity is the amount of electricity discharged by the rated capacity under a certain discharge depth, Q1 = Q 额定 x DOD, then Q 额定 = Q 需求 / DOD, since the safety capacity is the capacity reserved after considering various factors, the corrected actual capacity is usually determined based on the safety capacity, if the safety capacity is considered a certain safety margin coefficient k based on the rated capacity, and k here is equal to Q 安全 .

[0026] Electric vehicle demand: 500 km of endurance, 0.2 kWh / km of power consumption → actual energy requirement Eactual = 500 x 0.2 = 100 kWh.

[0027] Battery parameters: nominal voltage V = 370 V, designed discharge depth DOD = 80% = 0.8, safety factor = 15% (i.e. 0.15).

[0028] Calculate the safe capacity (from energy back to capacity): Q 安全 = (100 kWh x 1000) / (370 V x 0.8) ≈ 337.8 Ah (Note: 100 kWh is converted to 100000 Wh, and the unit is unified for calculation); Correct the actual demand capacity (add safety redundancy): Q2 = (Q1 / DOD) x (1+0.15), and the corresponding parameters are substituted into the above formula to calculate Q2 = 391.3 Ah.

[0029] Step S4, verify the peak power and current carrying capacity of the corrected actual demand capacity, and the specific verification method is as follows: Get lithium carbonate battery and charge it to the target SOC (battery capacity), and stand for 30 min, then discharge at different currents (such as 1C, 2C, 3C…) for a short time (such as 10s), record the voltage drop curve, and record the power P = U 平均 x I at each current, and draw the "current-power" curve, find the maximum power when the voltage is not lower than the cut-off threshold (such as single cell 2.5V) P peak , then calculate the instantaneous current I peak according to the formula I peak = P 标称 / V peak , and compare it with the maximum discharge current I max of the battery, and the maximum discharge current I max = C x Q 额定 , and C is the charge-discharge rate (1C means 1 hour to discharge the rated capacity, 3C means 20 minutes to discharge), Q 额定 represents the rated capacity of the battery; If the instantaneous current I peak ≥ I max , it means that it does not meet the direct discharge demand, and generates an adjustment processing signal, if the instantaneous current I peak <I max , it means that it meets the direct discharge demand, and generates the optimal capacity information; For example, electric vehicle parameters: nominal voltage V 标称 = 370 V, rated capacity Q 额定 = 100 Ah, C rate C = 3 (supports 3C discharge). Acceleration demand: peak power P peak = 200 kW (instantaneous overtaking).

[0030] Peak current calculation: I peak = P peak / V 标称 = 540.5A; Battery maximum discharge current: I max = C x Q 额定 = 300A; Since 540.5A>300A, the direct discharge requirement is not met, and a regulation processing signal is generated.

[0031] Then the generated regulation processing signal is analyzed, and the number of parallel groups N is calculated according to the formula I 单组 = I peak / N, and the optimal capacity information is generated.

[0032] Example two

[0033] Please refer to Figure 2 , the application is a kind of lithium carbonate battery optimal capacity determination system, the system includes battery information acquisition module, capacity loss correction processing module, safety margin and discharge depth correction processing module, bearing capacity verification analysis module and capacity determination information output module, and combined with Figure 2 It can be known that the information between the above functional modules is unidirectional transmission.

[0034] Battery information acquisition module, the module is used to collect the basic information of lithium carbonate battery, and transmits it to the capacity loss correction processing module, and the basic information includes battery use scene and power demand parameter; Capacity loss correction processing module, the module is used to calculate battery energy demand according to the obtained basic information, and convert it into battery capacity, at the same time, obtain battery conversion efficiency and equipment loss efficiency, calculate the obtained battery capacity, and obtain actual demand capacity by combining temperature influence analysis, and transmit it to safety margin and discharge depth correction processing module, and the specific processing mode is the same as the processing process of example step S2; Safety margin and discharge depth correction processing module, the module is used to analyze the actual demand capacity, respectively calculate the safety margin and discharge depth of the battery, and correct it by calculating the actual demand capacity, obtain the corrected actual demand capacity, and transmit it to the bearing capacity verification analysis module, and the specific processing mode is the same as the processing process of example step S3; The carrying capacity verification analysis module is used for verifying the obtained modified actual demand capacity, obtaining the peak power of the equipment and calculating the instantaneous current, comparing the instantaneous current with the maximum discharge current of the battery, generating an adjustment processing signal or optimal capacity information, analyzing the former, obtaining the parallel group number according to a parallel current calculation formula, generating the optimal capacity information, and transmitting the optimal capacity information to the capacity determination information output module, and the specific processing mode is the same as the processing process of step S4 of the preferred embodiment. The capacity determination information output module is used for displaying the obtained optimal capacity information to the corresponding management personnel.

[0035] Some data in the above formula are calculated by taking their numerical values, and are not calculated by taking parameter units. The contents not described in detail in the specification all belong to the prior art known to those skilled in the art.

[0036] The above embodiments are only used to illustrate the technical method of the present application and not to limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the present application.

Claims

1. A method for determining the optimal capacity of a lithium carbonate battery, characterized in that, The method specifically includes the following steps: The basic capacity value of the lithium carbonate battery is calculated based on the power requirements of the equipment and the usage time, and then converted into the battery capacity to obtain the battery capacity information. The total loss efficiency is calculated by acquiring the capacity conversion efficiency and equipment loss efficiency, the temperature reduction factor is determined by analyzing the impact of temperature, and the actual required capacity is calculated by integrating battery capacity information. The actual demand capacity is adjusted by calculating the battery safety margin and depth of discharge separately, and then combining the two to calculate the corrected actual demand capacity. The current carrying capacity of the corrected actual demand capacity is verified. The instantaneous current of the equipment is calculated and compared with the maximum discharge current of the battery. An adjustment processing signal is generated, the number of parallel groups is determined based on the parallel relationship of the batteries, and the optimal capacity information is generated.

2. The method for determining the optimal capacity of a lithium carbonate battery according to claim 1, characterized in that, The specific method for obtaining battery capacity information is as follows: Obtain the application scenarios for lithium carbonate batteries, determine the equipment power requirements and usage duration, and apply formula E. 需求 =P×T 时长 The calculated energy demand E 需求 Where P is the equipment power, T 时长 For usage duration; According to the formula Q=E 需求 / V 标称 The battery capacity Q is calculated, where V 标称 This refers to the battery's nominal voltage.

3. The method for determining the optimal capacity of a lithium carbonate battery according to claim 1, characterized in that, The specific method for calculating the actual required capacity based on the comprehensive battery capacity information is as follows: Obtain the battery's charge and discharge efficiency and system equipment wear efficiency According to the formula = × Calculate the overall efficiency Analyze the effect of temperature on overall efficiency The influence of temperature reduction factor K T And calculate based on the overall attenuation rate, according to the formula The actual required capacity Q1 is calculated.

4. The method for determining the optimal capacity of a lithium carbonate battery according to claim 3, characterized in that, The specific method for determining the temperature reduction factor in the analysis of the effect of temperature on overall efficiency is as follows: Capacity tests were conducted at different temperatures. The capacitors were discharged at a constant current of 0.2C at various temperatures, and the corresponding capacities at each temperature were recorded. The fitting pattern was determined, and then the formula was applied... The capacity retention rate at the reference temperature is calculated and denoted as the temperature reduction factor K. T .

5. The method for determining the optimal capacity of a lithium carbonate battery according to claim 1, characterized in that, The specific method for adjusting the actual demand capacity is as follows: Obtain the battery's discharge capacity and rated capacity, and calculate the depth of discharge (DOD) using the formula: Depth of Discharge = (Discharge Capacity / Rated Capacity) × 100%. Then, obtain the battery's nominal voltage (V). 标称 At the same time, according to formula E 实际 =E 需求 / The actual energy requirement E of the battery is calculated. 实际 Then, the obtained depth of discharge (DOD) and nominal voltage (V) are substituted into the formula. The safe capacity Q of the battery is calculated. 安全 ; The actual required capacity Q1, depth of discharge DOD, and safe capacity Q are used. 安全 Substitute into the formula The corrected actual demand capacity Q2 is calculated.

6. The method for determining the optimal capacity of a lithium carbonate battery according to claim 1, characterized in that, The specific method for verifying the current carrying capacity of the corrected actual demand capacity is as follows: Obtain a lithium carbonate battery and charge it to the target SOC. Let it rest for 30 minutes, then perform short-term constant current discharge at different currents. Record the voltage drop curves and the power P=U at each current. 平均 ×I, and plot the "current-power" curve, finding the maximum power where the voltage is not lower than the cutoff threshold, denoted as P. peak Then according to formula I peak =P peak / V 标称 The instantaneous current I corresponding to the peak power of the equipment is calculated. peak And the maximum discharge current I max =C×Q 额定 And C is the charge / discharge rate, Q 额定 This indicates the battery's rated capacity.

7. The method for determining the optimal capacity of a lithium carbonate battery according to claim 1, characterized in that, The specific method for determining the number of parallel groups and generating optimal capacity information based on the parallel connection relationship of batteries is as follows: Instantaneous current I peak With the battery's maximum discharge current I max Comparison, if the instantaneous current I peak ≥I max If the instantaneous current I0 is not met, it indicates that the direct discharge requirement is not met, and an adjustment processing signal is generated. peak max This indicates that the direct discharge requirement is met, and optimal capacity information is generated;​ Next, the generated adjustment signal is analyzed according to formula I. 单组 =I peak / N, calculates the number of parallel groups N, and generates optimal capacity information at the same time.

8. A system for determining the optimal capacity of a lithium carbonate battery, used to execute the method for determining the optimal capacity of a lithium carbonate battery according to any one of claims 1-7, characterized in that, It includes a battery information acquisition module, which is used to collect basic information of lithium carbonate batteries and transmit it to the capacity loss correction processing module. The basic information includes battery usage scenarios and power requirement parameters. The capacity loss correction processing module is used to calculate the battery energy demand based on the acquired basic information and convert it into battery capacity. At the same time, it acquires the battery conversion efficiency and equipment loss efficiency, calculates the battery capacity obtained by combining the results, and combines the temperature influence analysis to obtain the actual demand capacity, and transmits it to the safety margin and depth of discharge correction processing module. Safety margin and depth of discharge correction processing module: This module is used to analyze the actual demand capacity, calculate the battery's safety margin and depth of discharge respectively, and calculate and correct it based on the actual demand capacity to obtain the corrected actual demand capacity, and then transmit it to the load capacity verification and analysis module. The load-bearing capacity verification and analysis module is used to verify the obtained corrected actual demand capacity, obtain the peak power of the equipment and calculate its instantaneous current, and compare it with the maximum discharge current of the battery to generate an adjustment processing signal or optimal capacity information. Then, the former is analyzed, and the number of parallel groups is obtained according to the parallel current calculation formula to generate optimal capacity information, which is then transmitted to the capacity determination information output module. The capacity determination information output module is used to display the acquired optimal capacity information to the corresponding management personnel.

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