Energy storage battery output power self-adjusting system and method

Abstract

The invention discloses an energy storage battery output power self-adjusting system and method, and belongs to the technical field of energy storage battery control. The energy storage battery output power self-adjusting system comprises a data acquisition unit, and the output end of the data acquisition unit is electrically connected with the input end of a loss trend measuring and calculating unit; the output end of the loss trend measuring and calculating unit is electrically connected with the input end of a loss trend checking unit, the output end of the loss trend checking unit is electrically connected with the input end of an output power self-adjusting module, the data acquisition unit comprises a microprocessor, the input end of the microprocessor is electrically connected with the output end of a filter, and the output end of the filter is electrically connected with the output end of the power supply unit. The input end of the filter is electrically connected with the output end of the voltage sampling module, and the output end of the microprocessor is electrically connected with the input end of the AD conversion module. The output power of the energy storage battery can be automatically adjusted according to the output power of the energy storage battery and the load equipment under historical nodes; the energy utilization efficiency is improved, the battery service life is prolonged, and the system safety is ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage battery control, and in particular relates to a system and method for self-regulating output power of an energy storage battery. Background Art

[0002] With the advancement of battery technology, the battery capacity of existing energy storage batteries is getting larger and larger, and they can gradually be put into trial use in high-power electrical appliances. Based on safety considerations, the peripheral charging and discharging circuits of energy storage batteries are generally equipped with protection functions to reduce the possibility of burning or explosion of the energy storage batteries. When the protection function is triggered, it often directly disconnects the circuit that the energy storage battery uses to power high-power electrical appliances, making it difficult for the energy storage battery to power high-power electrical appliances for a long time.

[0003] The prior art discloses some invention patents in the field of energy storage battery control technology, among which the invention patent with publication number CN115686124B discloses a self-regulating system and method for energy storage battery output power based on safety protection, which can self-regulate the output power of the energy storage battery according to the output power of the energy storage battery and the load equipment at the historical node. The loss trend value of the load equipment can be obtained by measuring the combined samples, and then the corresponding verification samples are selected by the verification module, and the loss trend value is verified, so that the loss trend value that can be used as an adjustment indicator for adjusting the energy storage battery can be obtained. Based on the loss trend value, the output power of the energy storage battery that needs to be adjusted at the current node can be calculated. In this way, the output power of the energy storage battery can be adjusted more accurately, and its energy loss can be effectively reduced, which not only prevents the output overload of the energy storage battery, but also can extend the service life of the energy storage battery accordingly.

[0004] The existing technology still has some shortcomings. Although the self-regulating system can adjust the output power by adjusting the chemical reaction rate inside the battery or an external electronic controller, this adjustment may be limited by the characteristics of the battery itself, such as the chemical properties and physical structure of the battery, resulting in a limited adjustment range. When the required power changes greatly, the system may not be able to meet all adjustment requirements.

[0005] Based on this, the present invention designs a system and method for self-regulating output power of an energy storage battery to solve the above problems. Summary of the invention

[0006] The purpose of the present invention is to solve the problems that the existing energy storage battery output power self-regulation system and method still have some shortcomings in the process of use. Although the self-regulation system can adjust the output power by adjusting the chemical reaction rate inside the battery or the external electronic controller, this adjustment may be limited by the characteristics of the battery itself, such as the chemical properties and physical structure of the battery, resulting in a limited adjustment range. When the required power changes greatly, the system may not be able to meet all the adjustment requirements. A system and method for self-regulating the output power of an energy storage battery are proposed.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A storage battery output power self-regulation system, comprising a data acquisition unit, wherein the output end of the data acquisition unit is electrically connected to the input end of a loss trend calculation unit, the output end of the loss trend calculation unit is electrically connected to the input end of a loss trend verification unit, and the output end of the loss trend verification unit is electrically connected to the input end of an output power self-regulation module;

[0009] The data acquisition unit includes a microprocessor, an input end of the microprocessor is electrically connected to an output end of a filter, an input end of the filter is electrically connected to an output end of a voltage sampling module, an output end of the microprocessor is electrically connected to an input end of an AD conversion module, an output end of the AD conversion module is electrically connected to an input end of a voltage output module, an input end of the microprocessor is electrically connected to an output end of an amplifier, an input end of the amplifier is electrically connected to an output end of a current sampling module, and an output end of the AD conversion module is electrically connected to an input end of a current output module.

[0010] As a further description of the above technical solution:

[0011] The loss trend calculation unit includes an indicator calculation module, a data collection module and a loss rate calculation module. The output end of the indicator calculation module is electrically connected to the input end of the data collection module, and the output end of the data collection module is electrically connected to the input end of the loss rate calculation module.

[0012] As a further description of the above technical solution:

[0013] The loss trend inspection unit includes a historical data comparison module, an abnormal data analysis module and an external factor reference module. The output end of the historical data comparison module is electrically connected to the input end of the abnormal data analysis module, and the output end of the abnormal data analysis module is electrically connected to the input end of the external factor reference module.

[0014] As a further description of the above technical solution:

[0015] The acquisition of the output power data at the historical nodes of the energy storage battery is based on the MPPT algorithm, which periodically disturbs the working voltage of the energy storage battery and observes the change in output power to find and stabilize at the maximum power point. The maximum power point tracking technology MPPT is to track the maximum power point of the energy storage battery in real time, so as to enable the energy storage battery to maintain the maximum power output and improve the output efficiency. The MPPT algorithm calculates the output power of the energy storage battery by detecting the output DC voltage and output current of the energy storage battery, and changes the output load of the energy storage battery by adjusting the output voltage of the DC-DC conversion circuit.

[0016] As a further description of the above technical solution:

[0017] The output voltage S of the energy storage battery is adjusted based on the voltage division technology of resistors R1 and R2. V Sampling is performed, and a filter is used to filter the sampled voltage signal. The voltage output module is connected to the pin PAO of the AD conversion module of the microprocessor, and the collected analog voltage is converted into a digital voltage using the AD inside the microprocessor.

[0018] As a further description of the above technical solution:

[0019] The output current of the energy storage battery is detected by a resistance detection method. A cement resistor R3 with low resistance, high precision and low temperature coefficient is selected as the detection resistor. An amplifier is used to convert the current into a voltage output, and the output voltage is connected to the pin PA2 of the AD conversion module of the microprocessor, and the output voltage value is read out through program design.

[0020] As a further description of the above technical solution:

[0021] The index measurement module is used to measure the capacity, internal resistance and voltage of the energy storage battery. The capacity of the energy storage battery is an important indicator to measure the amount of energy it stores. By measuring the discharge capacity of the energy storage battery under certain conditions and comparing it with the rated capacity of the energy storage battery, the attenuation degree of the battery can be judged. The internal resistance of the energy storage battery is used to reflect its internal structure and performance changes. The voltage of the energy storage battery reflects its working state and performance. By measuring the voltage change of the energy storage battery, the charging state, discharging state and whether there is a fault in the energy storage battery can be judged.

[0022] As a further description of the above technical solution:

[0023] The data collection module is used to regularly test the energy storage battery and record its performance index data under different conditions. These tests include capacity test, internal resistance test and voltage test. When collecting data, the time information of each test point needs to be recorded for subsequent trend analysis.

[0024] By comparing the current capacity of the energy storage battery with the initial capacity, the capacity loss rate of the energy storage battery is calculated, and the capacity loss rate = (initial capacity - current capacity) / initial capacity × 100%;

[0025] By comparing the current internal resistance of the energy storage battery with the initial internal resistance, the internal resistance growth rate of the energy storage battery is calculated, and the internal resistance growth rate=(current internal resistance-initial internal resistance) / initial internal resistance×100%.

[0026] As a further description of the above technical solution:

[0027] The historical data comparison module compares the current loss trend value with the historical data to evaluate the stability of battery performance. If the loss trend value deviates significantly from the historical data, further investigation of the cause is required. If the loss rate suddenly increases, the abnormal data analysis module should conduct an in-depth analysis to determine the cause, involving the use conditions, maintenance records and fault history of the energy storage battery. When analyzing the loss trend, the external factor reference module should also consider the impact of temperature, humidity and vibration on the performance of the energy storage battery.

[0028] A method for self-regulating output power of an energy storage battery, comprising:

[0029] Obtain output power data of energy storage batteries and load devices at historical nodes;

[0030] By measuring the combined samples, the loss trend value of the load equipment is calculated;

[0031] Use the verification module to select corresponding verification samples and verify the loss trend value;

[0032] According to the verified loss trend value, the output power that needs to be adjusted at the current node of the energy storage battery is calculated and adjusted.

[0033] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0034] 1. In the present invention, the output power of the energy storage battery can be automatically adjusted according to the output power of the energy storage battery and the load equipment at the historical node to meet the current application requirements, improve energy utilization efficiency, extend battery life and ensure system safety.

[0035] 2. In the present invention, when the energy storage battery reserves are lower than a predetermined threshold and the charging power is lower than the output power, the energy storage battery is likely to be exhausted. The output power of the output unit is reduced to extend the time for the energy storage battery to be exhausted, and an alarm is issued in this state to prompt the user to charge the energy storage battery in time or connect a higher power charging power source. The minimum output power is the minimum working power of the external electrical appliance, so that the management method of this application can continuously supply power to high-power electrical appliances. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 A module block diagram of a system and method for self-regulating output power of an energy storage battery proposed by the present invention;

[0037] Figure 2 A schematic diagram of a flow chart of a system and method for self-regulating output power of an energy storage battery proposed by the present invention;

[0038] Figure 3 This is a flow chart of MPPT program design in a storage battery output power self-regulation system and method proposed by the present invention. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] Please see attached Figure 1 -Attached Figure 3 , the present invention provides a technical solution: an energy storage battery output power self-regulation system, comprising a data acquisition unit, the output end of the data acquisition unit is electrically connected to the input end of the loss trend calculation unit, the output end of the loss trend calculation unit is electrically connected to the input end of the loss trend inspection unit, and the output end of the loss trend inspection unit is electrically connected to the input end of the output power self-regulation module;

[0041] The data acquisition unit includes a microprocessor, an input end of the microprocessor is electrically connected to an output end of a filter, an input end of the filter is electrically connected to an output end of a voltage sampling module, an output end of the microprocessor is electrically connected to an input end of an AD conversion module, an output end of the AD conversion module is electrically connected to an input end of a voltage output module, an input end of the microprocessor is electrically connected to an output end of an amplifier, an input end of the amplifier is electrically connected to an output end of a current sampling module, and an output end of the AD conversion module is electrically connected to an input end of a current output module.

[0042] Specifically, the loss trend calculation unit includes an indicator calculation module, a data collection module and a loss rate calculation module. The output end of the indicator calculation module is electrically connected to the input end of the data collection module, and the output end of the data collection module is electrically connected to the input end of the loss rate calculation module.

[0043] Specifically, the loss trend verification unit includes a historical data comparison module, an abnormal data analysis module and an external factor reference module. The output end of the historical data comparison module is electrically connected to the input end of the abnormal data analysis module, and the output end of the abnormal data analysis module is electrically connected to the input end of the external factor reference module.

[0044] Specifically, the acquisition of the output power data at the historical nodes of the energy storage battery is based on the MPPT algorithm, which periodically disturbs the working voltage of the energy storage battery and observes the change in output power to find and stabilize at the maximum power point. The maximum power point tracking technology MPPT is real-time tracking of the maximum power point of the energy storage battery, which is used to enable the energy storage battery to maintain the maximum power output and improve the output efficiency. The MPPT algorithm calculates the output power of the energy storage battery by detecting the output DC voltage and output current of the energy storage battery, and changes the output load of the energy storage battery by adjusting the output voltage of the DC-DC conversion circuit.

[0045] Specifically, the output voltage S of the energy storage battery is adjusted based on the voltage division technology of resistors R1 and R2. V Sampling is performed, and a filter is used to filter the sampled voltage signal. The voltage output module is connected to the pin PAO of the AD conversion module of the microprocessor, and the collected analog voltage is converted into a digital voltage using the AD inside the microprocessor.

[0046] Specifically, the output current of the energy storage battery is detected by a resistance detection method, and a cement resistor R3 with low resistance, high precision and low temperature coefficient is selected as the detection resistor. An amplifier is used to convert the current into a voltage output, and the output voltage is connected to the pin PA2 of the AD conversion module of the microprocessor, and the output voltage value is read out through program design.

[0047] Specifically, the index measurement module is used to measure the capacity, internal resistance and voltage of the energy storage battery. The capacity of the energy storage battery is an important indicator to measure the amount of energy it stores. By measuring the discharge capacity of the energy storage battery under certain conditions and comparing it with the rated capacity of the energy storage battery, the degree of battery attenuation can be determined. The internal resistance of the energy storage battery is used to reflect its internal structure and performance changes. The voltage of the energy storage battery reflects its working state and performance. By measuring the voltage change of the energy storage battery, the charging state, discharging state and whether there is a fault in the energy storage battery can be determined.

[0048] Specifically, the data collection module is used to regularly test the energy storage battery and record its performance index data under different conditions. These tests include capacity test, internal resistance test and voltage test. When collecting data, the time information of each test point needs to be recorded for subsequent trend analysis.

[0049] By comparing the current capacity of the energy storage battery with the initial capacity, the capacity loss rate of the energy storage battery is calculated, and the capacity loss rate = (initial capacity - current capacity) / initial capacity × 100%;

[0050] By comparing the current internal resistance of the energy storage battery with the initial internal resistance, the internal resistance growth rate of the energy storage battery is calculated, and the internal resistance growth rate=(current internal resistance-initial internal resistance) / initial internal resistance×100%.

[0051] Specifically, the historical data comparison module compares the current loss trend value with the historical data to evaluate the stability of battery performance. If the loss trend value deviates significantly from the historical data, further investigation of the cause is required. If the loss rate suddenly increases, the abnormal data analysis module should conduct an in-depth analysis to determine the cause, involving the use conditions, maintenance records and fault history of the energy storage battery. When analyzing the loss trend, the external factor reference module should also consider the impact of temperature, humidity and vibration on the performance of the energy storage battery.

[0052] Working principle, when using:

[0053] The output power data of the energy storage battery and the load device at the historical nodes are obtained. The acquisition of the output power data of the energy storage battery at the historical nodes is based on the MPPT algorithm. By periodically disturbing the working voltage of the energy storage battery and observing the changes in the output power, the maximum power point can be found and stabilized. The maximum power point tracking technology MPPT is to track the maximum power point of the energy storage battery in real time, which is used to keep the energy storage battery at the maximum power output and improve the output efficiency. The MPPT algorithm calculates the output power of the energy storage battery by detecting the output DC voltage and output current of the energy storage battery, and changes the output load of the energy storage battery by adjusting the output voltage of the DC-DC conversion circuit. The output voltage S of the energy storage battery is adjusted based on the voltage divider technology of resistors R1 and R2. V The sampled voltage signal is filtered by a filter, and the voltage output module is connected to the pin PAO of the AD conversion module of the microprocessor. The analog voltage collected is converted into a digital voltage using the AD inside the microprocessor. Based on the resistor voltage division technology, the output voltage S V The voltage S across the energy storage battery V1，V2 The relationship is:

[0054]

[0055] The output current of the energy storage battery is detected by the resistance detection method. The cement resistor R3 with low resistance, high precision and low temperature coefficient is selected as the detection resistor. The amplifier is used to convert the current into voltage output, and the output voltage is connected to the pin PA2 of the AD conversion module of the microprocessor. The output voltage value is read out through program design. The acquisition of the output power data of the load device at the historical node is a complex and specific information set, which depends on many factors, including the type of load device, tree age, working environment, historical load conditions and power supply conditions;

[0056] By measuring the combined samples, the loss trend value of the load equipment is calculated, and the capacity, internal resistance and voltage of the energy storage battery are measured. The capacity of the energy storage battery is an important indicator to measure the amount of energy it stores. By measuring the discharge capacity of the energy storage battery under certain conditions and comparing it with the rated capacity of the energy storage battery, the degree of battery attenuation can be determined. The internal resistance of the energy storage battery is used to reflect its internal structure and performance changes. The voltage of the energy storage battery reflects its working state and performance. By measuring the voltage change of the energy storage battery, the charging state, discharge state and whether there is a fault in the energy storage battery can be determined. The energy storage battery is tested regularly and its performance indicator data under different conditions is recorded. These tests include capacity test, internal resistance test and voltage test. When collecting data, the time information of each test point needs to be recorded for subsequent trend analysis.

[0057] By comparing the current capacity of the energy storage battery with the initial capacity, the capacity loss rate of the energy storage battery is calculated, and the capacity loss rate = (initial capacity - current capacity) / initial capacity × 100%;

[0058] By comparing the current internal resistance of the energy storage battery with the initial internal resistance, the internal resistance growth rate of the energy storage battery is calculated, and the internal resistance growth rate = (current internal resistance - initial internal resistance) / initial internal resistance × 100%;

[0059] Use the verification module to select the corresponding verification samples and verify the loss trend value. Compare the current loss trend value with the historical data to evaluate the stability of battery performance. If the loss trend value deviates significantly from the historical data, further investigation is required. If the loss rate suddenly increases, in-depth analysis should be conducted to determine the cause, involving the use conditions, maintenance records and failure history of the energy storage battery. When analyzing the loss trend, the effects of temperature, humidity and vibration on the performance of the energy storage battery should also be considered.

[0060] According to the verified loss trend value, the output power that needs to be adjusted at the current node of the energy storage battery is calculated and adjusted.

[0061] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A self-regulating system for output power of an energy storage battery, comprising a data acquisition unit, characterized in that: The output end of the data acquisition unit is electrically connected to the input end of the loss trend calculation unit, the output end of the loss trend calculation unit is electrically connected to the input end of the loss trend verification unit, and the output end of the loss trend verification unit is electrically connected to the input end of the output power self-regulation module; The data acquisition unit includes a microprocessor, an input end of the microprocessor is electrically connected to an output end of a filter, an input end of the filter is electrically connected to an output end of a voltage sampling module, an output end of the microprocessor is electrically connected to an input end of an AD conversion module, an output end of the AD conversion module is electrically connected to an input end of a voltage output module, an input end of the microprocessor is electrically connected to an output end of an amplifier, an input end of the amplifier is electrically connected to an output end of a current sampling module, and an output end of the AD conversion module is electrically connected to an input end of a current output module.

2. The energy storage battery output power self-regulation system according to claim 1, characterized in that: The loss trend calculation unit includes an indicator calculation module, a data collection module and a loss rate calculation module. The output end of the indicator calculation module is electrically connected to the input end of the data collection module, and the output end of the data collection module is electrically connected to the input end of the loss rate calculation module.

3. The energy storage battery output power self-regulation system according to claim 1, characterized in that: The loss trend inspection unit includes a historical data comparison module, an abnormal data analysis module and an external factor reference module. The output end of the historical data comparison module is electrically connected to the input end of the abnormal data analysis module, and the output end of the abnormal data analysis module is electrically connected to the input end of the external factor reference module.

4. The energy storage battery output power self-regulation system according to claim 1, characterized in that: The acquisition of the output power data at the historical nodes of the energy storage battery is based on the MPPT algorithm, which periodically disturbs the working voltage of the energy storage battery and observes the change in output power to find and stabilize at the maximum power point. The maximum power point tracking technology MPPT is to track the maximum power point of the energy storage battery in real time, so as to enable the energy storage battery to maintain the maximum power output and improve the output efficiency. The MPPT algorithm calculates the output power of the energy storage battery by detecting the output DC voltage and output current of the energy storage battery, and changes the output load of the energy storage battery by adjusting the output voltage of the DC-DC conversion circuit.

5. The energy storage battery output power self-regulation system according to claim 4, characterized in that: The output voltage S of the energy storage battery is adjusted based on the voltage division technology of resistors R1 and R2. V Sampling is performed, and a filter is used to filter the sampled voltage signal. The voltage output module is connected to the pin PAO of the AD conversion module of the microprocessor, and the collected analog voltage is converted into a digital voltage using the AD inside the microprocessor.

6. The energy storage battery output power self-regulation system according to claim 5, characterized in that: The output current of the energy storage battery is detected by a resistance detection method. A cement resistor R3 with low resistance, high precision and low temperature coefficient is selected as the detection resistor. An amplifier is used to convert the current into a voltage output, and the output voltage is connected to the pin PA2 of the AD conversion module of the microprocessor, and the output voltage value is read out through program design.

7. The energy storage battery output power self-regulation system according to claim 6, characterized in that: The index measurement module is used to measure the capacity, internal resistance and voltage of the energy storage battery. The capacity of the energy storage battery is an important indicator to measure the amount of energy it stores. By measuring the discharge capacity of the energy storage battery under certain conditions and comparing it with the rated capacity of the energy storage battery, the attenuation degree of the battery can be judged. The internal resistance of the energy storage battery is used to reflect its internal structure and performance changes. The voltage of the energy storage battery reflects its working state and performance. By measuring the voltage change of the energy storage battery, the charging state, discharging state and whether there is a fault in the energy storage battery can be judged.

8. The energy storage battery output power self-regulation system according to claim 7, characterized in that: The data collection module is used to regularly test the energy storage battery and record its performance index data under different conditions. These tests include capacity test, internal resistance test and voltage test. When collecting data, the time information of each test point needs to be recorded for subsequent trend analysis. By comparing the current capacity of the energy storage battery with the initial capacity, the capacity loss rate of the energy storage battery is calculated, and the capacity loss rate = (initial capacity - current capacity) / initial capacity × 100%; By comparing the current internal resistance of the energy storage battery with the initial internal resistance, the internal resistance growth rate of the energy storage battery is calculated, and the internal resistance growth rate=(current internal resistance-initial internal resistance) / initial internal resistance×100%.

9. The energy storage battery output power self-regulation system according to claim 8, characterized in that: The historical data comparison module compares the current loss trend value with the historical data to evaluate the stability of battery performance. If the loss trend value deviates significantly from the historical data, further investigation of the cause is required. If the loss rate suddenly increases, the abnormal data analysis module should conduct an in-depth analysis to determine the cause, involving the use conditions, maintenance records and fault history of the energy storage battery. When analyzing the loss trend, the external factor reference module should also consider the impact of temperature, humidity and vibration on the performance of the energy storage battery.

10. A method for self-regulating output power of an energy storage battery according to any one of claims 1 to 9, characterized in that: include: Obtain output power data of energy storage batteries and load devices at historical nodes; By measuring the combined samples, the loss trend value of the load equipment is calculated; Use the verification module to select corresponding verification samples and verify the loss trend value; According to the verified loss trend value, the output power that needs to be adjusted at the current node of the energy storage battery is calculated and adjusted.

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