Energy scheduling method for battery swap station

Abstract

The invention discloses an energy dispatching method for a battery swap station, which relates to electric energy battery swap supply and comprises the following steps of: 1, acquiring data, providing a basis for subsequent regulation and control, and ensuring the accuracy and integrity of acquired information; 2, data arrangement: constructing an energy storage battery information database, and providing a data foundation for subsequent refined energy scheduling operation; and 3, the database is periodically updated and verified, accurate data support is provided for energy scheduling decision making, and the system is operated in an intelligent allocation system in real time. According to the energy scheduling method, the energy storage battery pack, the battery swap equipment, the auxiliary facilities and the external power supply line in the battery swap station are managed and controlled finely in an all-around mode, stability of power supply can be guaranteed under various complex working conditions, the capacity of the battery swap station for coping with emergencies is greatly improved, continuous operation of key equipment is guaranteed, and the power supply efficiency is improved. And reliable battery replacement experience is provided for the user.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of electric energy replacement power supply, and specifically provides an energy scheduling method for a battery swapping station. Background Art

[0002] With the booming development of the electric vehicle market, the battery swapping station, as a key infrastructure for ensuring the energy supply of electric vehicles, has become increasingly important. At present, battery swapping stations are widely distributed in various urban areas, such as commercial areas, residential areas, and near transportation hubs, aiming to provide convenient and efficient battery swapping services for passing electric vehicles.

[0003] However, there are many defects in the existing energy scheduling technologies of battery swapping stations. On the one hand, most battery swapping stations have a rough management of energy storage battery packs, only simply monitoring the overall battery power, lacking accurate control over detailed battery information such as models, charge and discharge efficiencies, etc., and unable to perform refined charge and discharge regulation according to battery characteristics. This not only reduces the battery service life but also may result in insufficient power supply during peak electricity consumption. For example, during peak battery swapping demand, due to the lack of reasonable arrangement for energy storage battery charging in advance, it is impossible to meet the power requirements for simultaneous battery swapping of multiple vehicles in a timely manner.

[0004] On the other hand, the power supply mode switching is not intelligent enough. Some battery swapping stations rely solely on mains power supply. Once there is a mains power failure or power outage, the entire operation of the battery swapping station will be paralyzed, unable to ensure the operation of key equipment, resulting in the interruption of vehicle battery swapping and bringing great inconvenience to users. Even for battery swapping stations equipped with backup power generation equipment, during the combined power supply process of mains power and backup power, there is a lack of effective power distribution strategies and cannot dynamically adjust the power supply ratio according to real-time load and cost factors, leading to energy waste or excessive power supply costs.

[0005] Furthermore, the ability to estimate future battery swapping demands is insufficient. It is impossible to accurately predict the vehicle battery swapping power demands in the next period of time based on real-time battery swapping situations. When facing scenarios such as peak travel seasons during holidays or concentrated battery swapping due to sudden bad weather, the power supply of the battery swapping station will be stretched and it is difficult to maintain stable operation.

[0006] In summary, there is an urgent need for a new and intelligent energy scheduling method for battery swapping stations that can accurately manage energy storage batteries, flexibly switch power supply modes, and accurately estimate power demands to solve these problems in the existing technology, ensure the efficient and stable operation of battery swapping stations, and meet the growing electric vehicle battery swapping demands. Summary of the Invention

[0007] Based on this, this solution precisely addresses the above problems and proposes a comprehensive energy scheduling method covering fine collection of equipment information, intelligent decision-making of power supply modes, scientific management of energy storage batteries, and dynamic optimization of energy scheduling, effectively making up for the deficiencies of the existing technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] An energy scheduling method for a battery swap station comprises the following steps:

[0010] Step 1: Use professional data collection equipment to accurately collect model information of each group of energy storage batteries in the battery swap station, clarify the specifications and adaptation parameters of the battery; carefully record capacity data to understand the upper limit of battery energy storage; monitor the state of charge in real time to understand the current power level of the battery; accurately measure the charging and discharging efficiency to provide a basis for subsequent regulation and control, and ensure the accuracy and completeness of the information obtained;

[0011] Step 2: Organize and classify the collected battery information in a standardized data format, and use advanced database management technology to build a highly reliable and easy-to-retrieve energy storage battery information database to provide a data foundation for subsequent refined energy scheduling operations;

[0012] Step 3: Update and verify the information in the database regularly. Through the preset verification algorithm, compare the real-time monitoring data with the data stored in the database, promptly discover and correct existing deviations, ensure that the database information always accurately matches the actual status of the energy storage battery, provide accurate data support for energy scheduling decisions, and run in real time in the intelligent allocation system.

[0013] This solution further systematically and meticulously counts the power consumption requirements of various battery swapping equipment and auxiliary facilities in the battery swapping station. Through a rigorous accounting process, the basic load power in the station is finally accurately obtained, which is recorded as P base , providing basic data support for the overall power supply and demand balance analysis.

[0014] This solution further identifies and records the external power supply lines connected to the battery swap station in depth, not only to clarify the maximum power P that can be provided by the mains access, but also to grid-max , and also need to accurately grasp the rated power generation power P of the standby power generation equipment gen-rated and its real-time operating status, including detailed information such as startup time and fuel / gas remaining, so as to make the best decision quickly in different power supply scenarios.

[0015] This solution further uses a sophisticated sensor network to monitor the number of sample battery replacement stations in operation in real time and continuously. At the same time, it closely combines the dynamic power consumption model of each station's battery replacement equipment in different operation stages, which includes battery removal, transportation, and installation. Through calculation methods, the real-time battery replacement load power P is accurately calculated. swap (t) to achieve precise control of the instant power demand for battery swapping.

[0016] This solution further estimates the number of vehicles coming for battery replacement in a specific period of time in the future by combining big data analysis with intelligent algorithms, including information such as the number of vehicles and vehicle types, and then accurately calculates the potential incremental power demand for battery replacement ΔP swap-forecast , and thus a comprehensive and accurate total real-time temporary power demand power P is obtained. total (t) Make adequate preparations for power dispatch in advance.

[0017] This scheme further, when the P obtained by accurate calculation total (t) The value is less than or equal to P grid-max When the power supply is in the form of power grid connection, the intelligent dispatching system will decisively switch to the mains grid-connected power supply mode first, making full use of the stability and economy of the mains power supply;

[0018] At the same time, it is equipped with a highly sensitive monitoring device to closely monitor the key power supply parameters such as the voltage (standard value 220V, fluctuation range strictly controlled within ±5%) and frequency (standard value 50Hz, fluctuation range limited to ±0.2Hz) of the mains to ensure that the battery swap equipment is always in the best power supply environment;

[0019] Once the mains electricity has abnormal conditions such as a brief voltage drop to 200V or a frequency fluctuation to 49.8Hz, and the SOC of the energy storage battery pack is higher than the pre-set emergency lower limit, the intelligent dispatching system will immediately and seamlessly switch to the off-grid power supply mode, and the energy storage battery pack will quickly take over the power supply task to maintain the normal operation of the key equipment of the battery swap station until the mains electricity supply is restored to a stable state.

[0020] This scheme further, when P total The value of (t) exceeds P grid-max , but still in P grid-max +P gen-rated When the power supply is within the specified range, the intelligent dispatching system immediately starts the backup power generation equipment, and through the intelligent optimization algorithm, based on comprehensive consideration of multiple factors, such as real-time load changes and power supply cost fluctuations, dynamically and reasonably allocates the government power ratio between the city power and the backup power generation equipment, and efficiently switches to the grid-connected power generation mode, achieving both economical and efficient power supply guarantees.

[0021] This scheme further proposes that if P total (t) exceeds P grid-max +P gen-rated At this critical value, the intelligent dispatching system will quickly enter the emergency parallel power supply mode. With the help of the intelligent dispatching system, according to the current SOC status of the energy storage battery group and the discharge power that can be immediately provided, the energy storage battery group will be scientifically and reasonably arranged to participate in the joint power supply, so as to ensure the uninterrupted power supply of key equipment in the battery swap station and ensure the continuity of the battery swap service.

[0022] Based on the foregoing technical content, the essential steps of the implementation method are as follows: Implement a comprehensive and refined charge-discharge management strategy for the energy storage battery pack;

[0023] According to different working scenarios and battery states, strictly control the charging current, voltage, and discharging power to prevent overcharging, over-discharging, and other situations that may damage the battery life and performance;

[0024] At the same time, build a powerful intelligent energy dispatching system. Through continuous data collection, analysis, and feedback, optimize the energy dispatching plan in real time, and early warn potential power supply risks and battery health problems, so as to comprehensively improve the operation reliability and stability of the battery swapping station.

[0025] In summary, the present invention mainly has the following beneficial effects:

[0026] 1. Improve power supply stability and reliability. The energy dispatching method of the present invention can ensure the stable power supply under various complex working conditions through comprehensive and refined management and control of the energy storage battery pack, battery swapping equipment, auxiliary facilities, and external power supply lines in the battery swapping station; for example, during a mains power failure or peak load period, relying on accurate real-time monitoring and intelligent power supply mode switching mechanism, quickly activate the standby power generation equipment or energy storage battery pack for power supply, avoid the interruption of battery swapping services, greatly improve the ability of the battery swapping station to cope with emergencies, ensure the continuous operation of key equipment, and provide users with a reliable battery swapping experience.

[0027] 2. Optimize energy utilization and cost control: With the help of big data analysis and intelligent algorithms, the present invention can accurately predict the battery swapping demand, and dynamically adjust the power supply power distribution and energy storage battery charge-discharge strategy accordingly; store electrical energy during the low valley period of the mains power price, and reasonably allocate the energy storage discharge during the peak period; when grid-connected power generation, optimize the ratio of mains power and standby power sources in real time according to the cost, effectively reduce the operating cost, avoid energy waste at the same time, maximize energy utilization, and improve the economic benefits and sustainable development ability of the battery swapping station. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is the flowchart of the method of the present invention;

[0029] Figure 2 It is the event process diagram of the battery swapping method during the peak battery swapping period on a regular working day of the present invention;

[0030] Figure 3 It is the event process diagram of the battery swapping method in the scenario of extreme weather with mains power interruption and high load demand of the present invention; DETAILED DESCRIPTION OF THE INVENTION

[0031] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0032] The following describes an embodiment of the present invention based on its overall structure.

[0033] Example 1: Peak period of battery replacement on regular working days

[0034] According to the attached Figure 1 and 2 As shown, the solution of the present invention provides: an energy scheduling method for a battery swap station, comprising the following steps:

[0035] Step 1: Use professional data collection equipment to accurately collect model information of each group of energy storage batteries in the battery swap station, clarify the specifications and adaptation parameters of the battery; carefully record capacity data to understand the upper limit of battery energy storage; monitor the state of charge in real time to understand the current power level of the battery; accurately measure the charging and discharging efficiency to provide a basis for subsequent regulation and control, and ensure the accuracy and completeness of the information obtained;

[0036] Step 2: Organize and classify the collected battery information in a standardized data format, and use advanced database management technology to build a highly reliable and easy-to-retrieve energy storage battery information database to provide a data foundation for subsequent refined energy scheduling operations;

[0037] Step 3: Update and verify the information in the database regularly. Through the preset verification algorithm, compare the real-time monitoring data with the data stored in the database, promptly discover and correct existing deviations, ensure that the database information always accurately matches the actual status of the energy storage battery, provide accurate data support for energy scheduling decisions, and run in real time in the intelligent allocation system.

[0038] The power consumption requirements of various battery swapping equipment and auxiliary facilities in the battery swapping station are systematically and meticulously counted. Through a rigorous accounting process, the basic load power in the station is finally accurately obtained, which is recorded as P base , providing basic data support for the overall power supply and demand balance analysis.

[0039] Deeply identify and record the external power supply lines connected to the battery swap station. It is necessary to clarify the maximum power P that the mains access can provide. grid-max , and also need to accurately grasp the rated power generation power P of the standby power generation equipment gen-rated and its real-time operating status, including detailed information such as startup time and fuel / gas remaining, so as to make the best decision quickly in different power supply scenarios.

[0040] Through a sophisticated sensor network, the number of sample battery replacement stations in operation in the battery swap station is monitored in real time and continuously. At the same time, the dynamic power consumption model of the battery swap equipment at each station in different operation stages is closely combined. This stage includes battery removal, transportation, and installation. Through calculation methods, the real-time battery swap load power P is accurately calculated. swap (t) to achieve precise control of the instant power demand for battery swapping.

[0041] By combining big data analysis with intelligent algorithms, we can estimate the number of vehicles coming for battery swapping in a specific period of time in the future, including information such as the number of vehicles and vehicle types, and then accurately calculate the potential incremental power demand for battery swapping, ΔP. swap-forecast , and thus a comprehensive and accurate total real-time temporary power demand power P is obtained. total (t) Make adequate preparations for power dispatch in advance.

[0042] When the accurately calculated P total (t) The value is less than or equal to P grid-max When the power supply is in the form of power grid connection, the intelligent dispatching system will decisively switch to the mains grid-connected power supply mode first, making full use of the stability and economy of the mains power supply;

[0043] At the same time, it is equipped with a highly sensitive monitoring device to closely monitor the key power supply parameters such as the voltage (standard value 220V, fluctuation range strictly controlled within ±5%) and frequency (standard value 50Hz, fluctuation range limited to ±0.2Hz) of the mains to ensure that the battery swap equipment is always in the best power supply environment;

[0044] Once the mains electricity has abnormal conditions such as a brief voltage drop to 200V or a frequency fluctuation to 49.8Hz, and the SOC of the energy storage battery pack is higher than the pre-set emergency lower limit, the intelligent dispatching system will immediately and seamlessly switch to the off-grid power supply mode, and the energy storage battery pack will quickly take over the power supply task to maintain the normal operation of the key equipment of the battery swap station until the mains electricity supply is restored to a stable state.

[0045] When P total The value of (t) exceeds P grid-max , but still in P grid-max +P gen-rated When the power supply is within the specified range, the intelligent dispatching system immediately starts the backup power generation equipment, and through the intelligent optimization algorithm, based on comprehensive consideration of multiple factors, such as real-time load changes and power supply cost fluctuations, dynamically and reasonably allocates the government power ratio between the city power and the backup power generation equipment, and efficiently switches to the grid-connected power generation mode, achieving both economical and efficient power supply guarantees.

[0046] If P total (t) exceeds P grid-max +P gen-ratedWhen this critical value is reached, the intelligent distribution system will quickly enter the emergency parallel power supply mode. With the intelligent distribution system, according to the current SOC state of the energy storage battery pack and the discharge power that can be provided immediately, the energy storage battery pack will be scientifically and reasonably arranged to participate in the combined power supply, making every effort to ensure the uninterrupted power supply of the key equipment in the battery swapping station and ensuring the continuity of the battery swapping service.

[0047] The essential link lies in:

[0048] Implement a comprehensive and refined charge and discharge management strategy for the energy storage battery pack;

[0049] According to different working scenarios and battery states, strictly control the charging current, voltage, and discharge power to prevent situations such as overcharging and over-discharging that damage the battery life and performance;

[0050] At the same time, build a powerful energy dispatching intelligent distribution system. Through continuous data collection, analysis, and feedback, optimize the energy dispatching plan in real time, early warning of potential power supply risks and battery health problems, and comprehensively improve the operation reliability and stability of the battery swapping station.

[0051] It should be further explained that:

[0052] From 4 pm to 7 pm on a normal working day, this time period is usually the peak period of battery swapping demand. At this time, the battery swapping station is bustling, and multiple battery replacement workstations are fully operational. With the help of a high-precision sensor network, it can be clearly monitored that 5 workstations are operating efficiently.

[0053] It should be noted that the power consumption of the battery swapping equipment at each workstation shows obvious differences in different operation stages such as battery disassembly, transportation, and installation. For example, in the battery disassembly link, the power demand is about 2 kW; during transportation, it drops to 1.5 kW;

[0054] And in the installation stage, the power climbs to 3 kW, etc. By collecting these detailed data in real time and strictly according to the calculation formula Performing precise calculations, the real-time battery swapping load power P swap (t) is about 30 kW (here it is assumed that the average comprehensive power situation of each workstation is in different stages).

[0055] At the same time, using an advanced prediction model, it is estimated that in the next 15 minutes, 3 common small electric vehicles will come to swap batteries one after another. The average battery capacity demand for this type of vehicle is 30 kWh, and the battery swapping time is approximately 10 minutes. After rigorous calculation, the potential increase in battery swapping power demand ΔP swap-forecast Is 9 kW.

[0056] In addition, after comprehensively counting the auxiliary facilities such as lighting and monitoring in the battery swapping station, the basic load power P in the station is obtained. base is 5 kW.

[0057] To sum up, the total real-time temporary power demand P total (t) = 5 + 30 + 9 = 44 kW.

[0058] At this moment, the maximum power P that the mains power access can provide grid-max is detected to be 50 kW. Given that P total (t) ≤ P grid-max , the intelligent dispatching system will, according to the preset program, give priority to smoothly switching to the mains power grid-connected power supply mode.

[0059] During this period, to ensure that the battery swapping equipment obtains high-quality power supply, high-precision monitoring equipment is equipped to continuously monitor the voltage of the mains power (standard 220V, and the required fluctuation range is strictly controlled within ±5%) and the frequency (standard 50Hz, and the required fluctuation range is limited within ±0.2Hz) for 24 hours.

[0060] If abnormal situations such as the voltage of the mains power suddenly drops to 200V or the frequency fluctuates to 49.8Hz occur briefly, and the SOC of the energy storage battery pack is higher than the preset 30% (assuming the current SOC is 40%), then the intelligent dispatching system will complete the switching instantly and seamlessly transition to the off-grid power supply mode. The energy storage battery pack will quickly step forward to provide stable power support for the key equipment of the battery swapping station until the mains power returns to the normal state.

[0061] During this process, if it is found that the SOC of the energy storage battery pack is lower than 40%, and at the same time the mains power supply power is greater than the real-time load power, the intelligent dispatching system will automatically start the charging program for the energy storage battery pack, adopting an advanced segmented constant current-constant voltage charging method. Specifically, in the initial stage, according to the battery specifications, it is charged at a constant current of 10A. When the voltage gradually climbs to the set value, it smoothly switches to the constant voltage charging mode, and strictly controls the charging voltage to ensure that it does not exceed the maximum allowable charging voltage of the battery. The calculation of the charging power strictly follows the formula p charge = min{P surplus , P charge-max}, where P surplus represents the surplus part after subtracting the real-time load power from the mains power supply power, which is the maximum allowable charging power of the battery (assuming it is 15 kW).

[0062] Example 2: Scenario of mains power interruption and high load demand in extreme weather

[0063] According to the appendix Figure 1 and 3As shown, based on the solution provided by the present invention, it is further necessary to explain:

[0064] In the case of extreme weather such as heavy rain or heavy snow, if the mains power line unfortunately fails and is interrupted, this undoubtedly poses a huge challenge to the normal operation of the battery swapping station. At this time, the battery swapping station is still bustling, and 8 battery swapping stations are working against the clock. With the pre-deployed sensor network and complete data on the power consumption model of the stations, the real-time battery swapping load power P swap (t) has soared to 50 kW.

[0065] Moreover, through the application of the existing intelligent big data prediction function, it is estimated that within the next 15 minutes, 5 large electric SUVs will come to swap batteries at high speed. The average battery capacity requirement for such large models is as high as 60 kWh, and the battery swapping time is about 15 minutes. After careful calculation, the potential increase in the battery swapping power demand ΔP swap-forecast is 20 kW. In addition, the basic load power P base in the station is calculated to be 5 kW. From this, the total real-time temporary power demand P total (t) = 5 + 50 + 20 = 75 kW.

[0066] At this time, the backup power generation equipment equipped in the battery swapping station is a diesel generator, and its rated power generation P gen-rated is 50 kW. Since P total (t) > P grid-max + P gen-rated (the mains power is interrupted, and at this time P grid-max is regarded as 0), the intelligent distribution system will be urgently started and quickly enter the emergency parallel power supply mode.

[0067] At this critical moment, according to the SOC of the energy storage battery pack (assuming it is 60% currently) and the electric power that can be provided immediately, the intelligent distribution system will, through the intelligent distribution algorithm, reasonably arrange for the energy storage battery pack to participate in the combined power supply.

[0068] If the SOC of the energy storage battery pack is higher than 60%, then according to the optimized discharge strategy, it will output power at the maximum power mode to supplement power for the battery swapping station in a timely manner, and at the same time turn on the all-round real-time monitoring function to closely monitor key parameters such as the battery temperature (required not to exceed 45 °C) and voltage (required not to be lower than the minimum working voltage of the battery) to ensure the safety and stability of the battery during the high-intensity discharge process.

[0069] The calculation of the discharge power is strictly in accordance with the formula

[0070] P discharge = mn{P total (t) - P grid-max-P gen-rated ,P discharge-max}

[0071] where P discharge-max is the maximum allowable discharge power of the battery (assumed to be 30 kW).

[0072] In this high-load and emergency power supply mode, if the SOC of the energy storage battery pack is lower than the pre-set warning value of 20%, the intelligent dispatching system will resolutely take measures to gradually reduce the power supply of non-critical equipment, and give priority to ensuring the power supply for the core process of battery swapping. For example, it will suspend the power supply in some lighting areas and appropriately reduce the frame rate of non-critical images of the monitoring system. At the same time, the diesel generator will continue to operate at full load, and according to the trend of load changes, it will conduct a comprehensive assessment and finely adjust the power generation every 5 minutes to go all out to meet the high-load demand of the battery swapping station until the normal power supply of the mains is restored. During this period, to ensure the continuous and stable operation of the diesel generator, the intelligent dispatching system will monitor its fuel reserve in real time. Once it is found that the fuel reserve is close to the critical value (assuming the remaining operable duration is less than 30 minutes), it will automatically and promptly issue a prominent reminder to refuel.

[0073] Although the embodiments of the present invention have been shown and described, the specific embodiments are only explanations of the present invention and are not limitations thereto. The specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. After reading this specification, those skilled in the art can make modifications, substitutions and variations that do not contribute creatively to the embodiments according to their needs, but as long as they are within the scope of the claims of the present invention, they are protected by the patent law.

Claims

1. An energy scheduling method for a battery swap station, characterized in that: The following steps are involved: Step 1: Use professional data collection equipment to accurately collect model information of each group of energy storage batteries in the battery swap station, and clarify the specifications and adaptation parameters of the batteries; Carefully record capacity data to understand the battery's energy storage limit; Monitor the state of charge in real time to understand the current battery power level; Accurately measure the charge and discharge efficiency to provide a basis for subsequent regulation and control, ensuring the accuracy and completeness of the information obtained; Step 2: Organize and classify the collected battery information in a standardized data format, and use advanced database management technology to build a highly reliable and easy-to-retrieve energy storage battery information database to provide a data foundation for subsequent refined energy scheduling operations; Step 3: Update and verify the information in the database regularly. Through the preset verification algorithm, compare the real-time monitoring data with the data stored in the database, promptly discover and correct existing deviations, ensure that the database information always accurately matches the actual status of the energy storage battery, provide accurate data support for energy scheduling decisions, and run in real time in the intelligent allocation system.

2. The energy dispatching method for a battery swap station according to claim 1, characterized in that: In the first step, it is necessary to systematically and carefully count the power consumption requirements of various battery swapping equipment and auxiliary facilities in the battery swapping station. Through a rigorous accounting process, the basic load power in the station can be accurately obtained, which is recorded as P base , providing basic data support for the overall power supply and demand balance analysis.

3. The energy dispatching method for a battery swap station according to claim 1, characterized in that: It also includes the following method steps: Deeply identify and record the external power supply lines connected to the battery swap station. It is necessary to clarify the maximum power P that the mains access can provide. grid-max , and also need to accurately grasp the rated power generation power P of the standby power generation equipment gen-rated and its real-time operating status, including detailed information such as startup time and fuel / gas remaining, so as to make the best decision quickly in different power supply scenarios.

4. The energy dispatching method for a battery swap station according to claim 1, characterized in that: It also includes the following method steps: Through a sophisticated sensor network, the number of sample battery replacement stations in operation in the battery swap station is monitored in real time and continuously. At the same time, the dynamic power consumption model of the battery swap equipment at each station in different operation stages is closely combined, and the real-time battery swap load power P is accurately calculated through calculation methods. swap (t) to achieve precise control of the instant power demand for battery swapping.

5. The energy dispatching method for a battery swap station according to claim 1, characterized in that: It also includes the following method steps: By combining big data analysis with intelligent algorithms, the number of vehicles coming for battery replacement in a specific period of time in the future is estimated, and the potential increase in battery replacement power demand ΔP is accurately calculated. swap-forecast , and thus a comprehensive and accurate total real-time temporary power demand power P is obtained. total (t) Make adequate preparations for power dispatch in advance.

6. The energy dispatching method for a battery swap station according to claim 5, characterized in that: When the accurately calculated P total (t) The value is less than or equal to P grid-max When the power supply is in the form of power grid connection, the intelligent dispatching system will decisively switch to the mains grid-connected power supply mode first, making full use of the stability and economy of the mains power supply; At the same time, it is equipped with a highly sensitive monitoring device to closely monitor the voltage and frequency of the mains electricity and other key power supply parameters to ensure that the battery swap equipment is always in the best power supply environment; Once the mains electricity has abnormal conditions such as a brief voltage drop to 200V or a frequency fluctuation to 49.8Hz, and the SOC of the energy storage battery pack is higher than the pre-set emergency lower limit, the intelligent dispatching system will immediately and seamlessly switch to the off-grid power supply mode, and the energy storage battery pack will quickly take over the power supply task to maintain the normal operation of the key equipment of the battery swap station until the mains electricity supply is restored to a stable state.

7. The energy dispatching method for a battery swap station according to claim 5, characterized in that: When P total The value of (t) exceeds P grid-max , but still in P grid-max +P gen-rated When the power supply is within the specified range, the intelligent dispatching system immediately starts the backup power generation equipment, and through the intelligent optimization algorithm, based on comprehensive consideration of multiple factors, such as real-time load changes and power supply cost fluctuations, dynamically and reasonably allocates the government power ratio between the city power and the backup power generation equipment, and efficiently switches to the grid-connected power generation mode.

8. The energy dispatching method for a battery swap station according to claim 5, characterized in that: If P total (t) exceeds P grid-max +P gen-rated At this critical value, the intelligent dispatching system will quickly enter the emergency parallel power supply mode, and reasonably arrange the energy storage battery groups to participate in the joint power supply according to the current SOC status of the energy storage battery groups and the discharge power that can be immediately provided.

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