Intelligent UPS uninterruptible power supply management system based on charging equipment state

Abstract

The invention discloses an intelligent UPS (Uninterrupted Power Supply) management system based on the state of charging equipment. The intelligent UPS management system comprises a monitoring unit, an evaluation unit, a scheduling unit, a control unit, a feedback unit, a balance unit, a response unit, a coordination unit and a recording unit. The monitoring unit continuously obtains voltage, current and temperature information of the battery. The control unit receives the plan and controls the working mode of the charging device. The feedback unit collects the actual load condition and feeds back the actual load condition to the evaluation unit to optimize the evaluation process. The balance unit distributes loads among the multiple battery packs according to load conditions, and the response unit adjusts output in real time when detecting sudden change of the loads. The recording unit stores system operation data. By integrating a plurality of functional units, the system realizes accurate evaluation of the state of the battery and intelligent adjustment of the charging and discharging plan, effectively prolongs the service life of the battery, improves the stability and efficiency of the system, can quickly respond when the load suddenly changes, and ensures the stable operation of the system.

Description

Technical Field

[0001] The invention belongs to the technical field of waste treatment, and in particular relates to an intelligent UPS uninterruptible power supply management system based on the status of charging equipment. Background Art

[0002] With the development of information technology, uninterruptible power supply (UPS) systems are playing an increasingly important role in data centers, medical equipment, industrial automation and other fields. Traditional UPS systems mainly rely on manual monitoring and manual adjustments to ensure the normal operation of the system. However, with the changes in the power supply environment and users' higher requirements for power continuity, traditional UPS systems face many challenges, especially in battery management and system stability.

[0003] The current battery management system has improved the reliability and efficiency of the UPS system to a certain extent, but lacks a coordination mechanism. In addition, the existing system is not intelligent enough in terms of battery management and load distribution, resulting in shortened battery life and insufficient system stability.

[0004] The main problem of existing technologies is the lack of effective coordination mechanisms to optimize the interaction between various functional units. Especially in terms of battery management and load distribution, existing systems are often unable to accurately predict and manage the battery's charge and discharge cycles, making it difficult to ensure system stability and extend battery life. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent UPS uninterruptible power supply management system based on the status of charging equipment, which realizes accurate evaluation of battery status and intelligent adjustment of charging and discharging plans. The system can not only effectively extend the service life of the battery, but also significantly improve the overall stability and efficiency of the system, so as to solve the problems in the prior art mentioned in the above background technology.

[0006] To achieve the above object, the present invention adopts the following technical solution: an intelligent UPS uninterruptible power supply management system based on the status of charging equipment, comprising a monitoring unit, the monitoring unit is used to continuously obtain the voltage, current and temperature information of the battery in the uninterruptible power supply;

[0007] The monitoring unit is connected to an evaluation unit, which evaluates the current state and remaining usage capacity of the battery based on information provided by the monitoring unit;

[0008] The evaluation unit is also connected to a scheduling unit, and the scheduling unit adjusts the charging and discharging plan according to the battery status information provided by the evaluation unit;

[0009] The scheduling unit is connected to the control unit, and the control unit receives the plan made by the scheduling unit and controls the working mode of the charging device accordingly;

[0010] The control unit is also connected to a feedback unit, which collects actual load conditions during the operation of the uninterruptible power supply and feeds them back to the evaluation unit to optimize its evaluation process;

[0011] The feedback unit is connected to a balancing unit, and the balancing unit distributes the load among multiple battery packs according to the load conditions provided by the feedback unit to maintain uniform use of each battery pack;

[0012] The balancing unit is also connected to a response unit, and the response unit adjusts the output to meet the instantaneous power demand in real time when a sudden load change is detected according to the instruction of the balancing unit;

[0013] The response unit is connected to the coordination unit, and the coordination unit is responsible for smooth switching between different working modes;

[0014] The coordination unit is finally connected to the recording unit, which saves the information obtained by the monitoring unit, the evaluation results of the evaluation unit, the plan of the scheduling unit, the operation record of the control unit, the load condition of the feedback unit, the load distribution plan of the balancing unit, the response behavior of the response unit and the switching record of the coordination unit.

[0015] Preferably, the monitoring unit includes a data acquisition module, and the data acquisition module is used to read the voltage, current and temperature values ​​of the battery in real time;

[0016] The data acquisition module is connected to the data analysis module, and the data analysis module calculates the current state of charge SOC of the battery according to the value provided by the data acquisition module, where SOC=(current storage power-discharge threshold) / total rated capacity;

[0017] The data analysis module is also connected to a health assessment module, which uses the SOC value obtained by the data analysis module in combination with historical data to estimate the battery's state of health SOH. The SOH is obtained by comparing the current rated capacity with the initial rated capacity, SOH = (current rated capacity / initial rated capacity)*100%.

[0018] Preferably, the evaluation unit includes a state acquisition module, and the state acquisition module receives the voltage, current and temperature information provided by the monitoring unit;

[0019] The state acquisition module is connected to the capacity calculation module, and the capacity calculation module calculates the remaining capacity state SOC of the battery based on the information received by the state acquisition module using the formula SOC=[(current voltage-discharge cut-off voltage) / (charge cut-off voltage-discharge cut-off voltage)]*[current capacity / rated capacity];

[0020] The capacity calculation module is also connected to the health state determination module, which estimates the health state SOH of the battery according to the SOC value change trend and temperature fluctuation calculated by the capacity calculation module through the formula SOH=[1-(accumulated abnormal days / total operating days)]*100%;

[0021] The health status determination module is also connected to the prediction module. The prediction module predicts the lowest SOH value that the battery may reach in the future based on the SOH value obtained by the health status determination module and the battery usage frequency and discharge depth, and issues an early warning accordingly.

[0022] Preferably, the scheduling unit includes a plan making module, and the plan making module receives the battery status information and the remaining usage capacity provided by the evaluation unit;

[0023] The plan making module is connected to the time window allocation module, and the time window allocation module determines the optimal charging time period t according to the battery state received by the plan making module, where t=[current SOC<preset threshold T? current time: nearest non-peak power period];

[0024] The time window allocation module is also connected to the charge and discharge rate setting module, which adjusts the charge and discharge rate r according to the grid electricity price and battery health status in the time period t determined by the time window allocation module, where r = [peak electricity price period? minimum safe rate: maximum allowed rate] * (SOH / 100);

[0025] The charge and discharge rate setting module is also connected to the dynamic adjustment module, which dynamically adjusts the charge and discharge plan according to the rate r set by the charge and discharge rate setting module and the battery temperature change ΔT monitored during the actual charge and discharge process. The adjustment formula is r'=r*(1-ΔT / allowable temperature rise ΔTmax).

[0026] Preferably, the control unit includes a command receiving module, and the command receiving module receives the charging and discharging plan formulated by the scheduling unit;

[0027] The command receiving module is connected to the execution module, and the execution module sends a control signal S to the charging device according to the plan obtained by the command receiving module, and the control signal S includes start, stop, and rate adjustment instructions, where S=[current SOC<target SOC? start instruction: stop instruction];

[0028] The execution module is also connected to a rate adjustment module, which adjusts the charge and discharge rate R of the charging device to a predetermined value according to the rate instruction in the control signal S sent by the execution module, and the adjustment formula is R=target rate*(current SOC / maximum SOC);

[0029] The rate regulation module is also connected to the state feedback module, which monitors the actual working state and charging rate R' of the charging device, and compares the actual rate R' with the target rate R. If the deviation exceeds the preset range, the control signal S is corrected through the feedback loop, and the correction formula is S'=S+(R-R')*adjustment coefficient K.

[0030] Preferably, the feedback unit comprises a load monitoring module, which monitors the actual load P during the operation of the uninterruptible power supply in real time;

[0031] The load monitoring module is connected to the load analysis module, and the load analysis module compares the actual load P monitored by the load monitoring module with the historical load data, and calculates the load fluctuation rate V, the formula of which is V=|current load P-average load Pa| / average load Pa;

[0032] The load analysis module is also connected to the load prediction module, which predicts the expected load Pe in the future period according to the load fluctuation rate V obtained by the load analysis module, and feeds it back to the evaluation unit to adjust the evaluation process, Pe = Pa*(1+V);

[0033] The load prediction module is also connected to the evaluation and correction module. The evaluation and correction module corrects the battery state evaluation result according to the expected load Pe provided by the load prediction module. The correction formula is SOC'=SOC*(Pe / Pa).

[0034] Preferably, the balancing unit comprises a load receiving module, and the load receiving module receives the actual load condition L provided by the feedback unit;

[0035] The load receiving module is connected to the load distribution module, and the load distribution module calculates the load share Li borne by each battery pack Bi according to the load condition L received by the load receiving module, where Li=L / n, and n is the number of battery packs;

[0036] The load distribution module is also connected to the load adjustment module, which adjusts the load distribution ratio Pi according to the load share Li obtained by the load distribution module and the current state of charge SOCi of each battery pack Bi, where Pi=Li*(SOCi / ΣSOCj), where ΣSOCj represents the sum of the states of charge of all battery packs;

[0037] The load adjustment module is also connected to the load balancing module. The load balancing module dynamically adjusts the load distribution of each battery group Bi according to the load distribution ratio Pi calculated by the load adjustment module to ensure load balance. The adjustment formula is:

[0038] Pi'=Pi*(1-|SOCi-SOCavg| / SOCavg), SOCavg is the average state of charge.

[0039] Preferably, the response unit comprises an instruction receiving module, and the instruction receiving module receives a load adjustment instruction of the balancing unit;

[0040] The instruction receiving module is connected to the mutation detection module, which monitors the load change in real time and triggers a response mechanism when it is detected that the load change ΔL exceeds a preset threshold ΔLth;

[0041] The mutation detection module is also connected to a power compensation module, which calculates an additional power demand Padd according to the load change ΔL detected by the mutation detection module, where Padd=k*ΔL, and k is a compensation coefficient;

[0042] The power compensation module is also connected to the output adjustment module, and the output adjustment module adjusts the output power Po to a new target value, Po'=Po+Padd, according to the additional power demand Padd calculated by the power compensation module, so as to immediately meet the instantaneous power demand;

[0043] The output adjustment module is also connected to the feedback correction module, which monitors whether the adjusted output power Po' meets the actual load demand. If there is a deviation, the iterative adjustment formula Po"=Po'+(ΔL-ΔLprev), ΔLprev is the load change after the previous adjustment, until the output power is stable.

[0044] Preferably, the coordination unit includes a mode recognition module, and the mode recognition module determines the current working mode M according to the load change information provided by the response unit;

[0045] The mode recognition module is connected to the switching preparation module, and the switching preparation module prepares a corresponding switching strategy S according to the current working mode M determined by the mode recognition module;

[0046] The switching preparation module is also connected to the smooth transition module. When the working mode is switched, the smooth transition module gradually adjusts the output parameters. The adjustment formula is Pnew=Po ld*(1-α)+Ptarget*α, where α is a smoothing factor, α∈[0,1];

[0047] The smooth transition module is also connected to the stability verification module, which monitors the output stability of the system after switching. If it is detected that the output fluctuation exceeds the preset range, the α value is adjusted, and the adjustment formula is α'=α+δ, where δ is the adjustment step length, until the output returns to stability;

[0048] The stability verification module is also connected to the mode confirmation module, which confirms the new working mode M' after the system output is stable, and feeds back the confirmation information to the mode recognition module to complete the mode switching process.

[0049] Preferably, the recording unit includes a data collection module, which receives information I from the monitoring unit, a result A of the evaluation unit, a plan P of the scheduling unit, an operation record C of the control unit, a load condition L of the feedback unit, a load distribution scheme D of the balancing unit, a response behavior R of the response unit, and a switching record S of the coordination unit;

[0050] The data collection module is connected to the data storage module, and the data storage module classifies and stores the various data received by the data collection module to form a structured database DB, DB = {I, A, P, C, L, D, R, S};

[0051] The data storage module is also connected to a data compression module, and the data compression module compresses the data in the data storage module;

[0052] The data compression module is also connected to the data encryption module, and the data encryption module uses an encryption algorithm to encrypt the compressed data;

[0053] The data encryption module is also connected to the backup management module, and the backup management module regularly backs up the encrypted data to a safe location.

[0054] Technical effects and advantages of the present invention: Compared with the prior art, the intelligent UPS uninterruptible power supply management system based on the charging device status proposed by the present invention has the following advantages:

[0055] The present invention realizes accurate evaluation of battery status and intelligent adjustment of charging and discharging plans by integrating functional units such as monitoring, evaluation, scheduling, control, feedback, balance, response and coordination. The system can not only effectively extend the service life of the battery, but also significantly improve the overall stability and efficiency of the system. In particular, through real-time load monitoring and dynamic adjustment mechanisms, the system can respond quickly to sudden load changes, ensuring system stability under different operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1The block diagram of the intelligent UPS uninterruptible power supply management system based on the charging device status of the present invention. DETAILED DESCRIPTION

[0057] 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. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0058] The present invention provides an intelligent UPS uninterruptible power supply management system based on the charging device status, such as Figure 1 As shown, it includes a monitoring unit, an evaluation unit, a scheduling unit, a control unit, a feedback unit, a balancing unit, a response unit, a coordination unit and a recording unit. It realizes accurate evaluation of the battery status and intelligent adjustment of the charging and discharging plan. The system can not only effectively extend the service life of the battery, but also significantly improve the overall stability and efficiency of the system. In particular, through real-time load monitoring and dynamic adjustment mechanisms, the system can respond quickly when the load changes suddenly, ensuring the stability of the system under different operating conditions. The details are as follows:

[0059] Exemplarily, the monitoring unit is used to continuously obtain voltage, current and temperature information of the battery in the uninterruptible power supply;

[0060] Furthermore, the monitoring unit includes a data acquisition module, which is used to read the voltage, current and temperature values ​​of the battery in real time;

[0061] The data acquisition module is connected to the data analysis module, and the data analysis module calculates the current state of charge SOC of the battery according to the value provided by the data acquisition module, where SOC=(current storage power-discharge threshold) / total rated capacity;

[0062] The data analysis module is also connected to a health assessment module, which uses the SOC value obtained by the data analysis module in combination with historical data to estimate the battery's state of health SOH. The SOH is obtained by comparing the current rated capacity with the initial rated capacity, SOH = (current rated capacity / initial rated capacity)*100%.

[0063] Exemplarily, the monitoring unit is connected to an evaluation unit, which evaluates the current state and remaining usage capacity of the battery based on information provided by the monitoring unit;

[0064] Further, the evaluation unit includes a state acquisition module, which receives voltage, current and temperature information provided by the monitoring unit;

[0065] The state acquisition module is connected to the capacity calculation module, and the capacity calculation module calculates the remaining capacity state SOC of the battery based on the information received by the state acquisition module using the formula SOC=[(current voltage-discharge cut-off voltage) / (charge cut-off voltage-discharge cut-off voltage)]*[current capacity / rated capacity];

[0066] The capacity calculation module is also connected to the health state determination module, which estimates the health state SOH of the battery according to the SOC value change trend and temperature fluctuation calculated by the capacity calculation module through the formula SOH=[1-(accumulated abnormal days / total operating days)]*100%;

[0067] The health status determination module is also connected to the prediction module. The prediction module predicts the lowest SOH value that the battery may reach in the future based on the SOH value obtained by the health status determination module and the battery usage frequency and discharge depth, and issues an early warning accordingly.

[0068] Exemplarily, the evaluation unit is further connected to a scheduling unit, and the scheduling unit adjusts the charging and discharging plan according to the battery status information provided by the evaluation unit;

[0069] Further, the scheduling unit includes a plan making module, which receives the battery status information and the remaining usage capacity provided by the evaluation unit;

[0070] The plan making module is connected to the time window allocation module, and the time window allocation module determines the optimal charging time period t according to the battery state received by the plan making module, where t=[current SOC<preset threshold T? current time: nearest non-peak power period];

[0071] If the current SOC is lower than the preset threshold T, then the time window t will be set to "current moment", which means charging starts immediately;

[0072] If the current SOC is not lower than the preset threshold T, the time window t will be set to the "nearest off-peak period", which means waiting until the next off-peak period to start charging.

[0073] The time window allocation module is also connected to the charge and discharge rate setting module, which adjusts the charge and discharge rate r according to the grid electricity price and battery health status in the time period t determined by the time window allocation module, where r = [peak electricity price period? minimum safe rate: maximum allowed rate] * (SOH / 100);

[0074] Among them, when it is in the peak period of electricity charges, r = minimum safe rate * (SOH / 100);

[0075] When it is in the off-peak period, r=maximum allowed rate*(SOH / 100).

[0076] The charge and discharge rate setting module is also connected to the dynamic adjustment module, which dynamically adjusts the charge and discharge plan according to the rate r set by the charge and discharge rate setting module and the battery temperature change ΔT monitored during the actual charge and discharge process. The adjustment formula is r'=r*(1-ΔT / allowable temperature rise ΔTmax) to ensure safe operation of the battery.

[0077] Exemplarily, the scheduling unit is connected to the control unit, and the control unit receives the plan made by the scheduling unit and controls the working mode of the charging device accordingly;

[0078] Further, the control unit includes a command receiving module, which receives the charging and discharging plan formulated by the scheduling unit;

[0079] The command receiving module is connected to the execution module, and the execution module sends a control signal S to the charging device according to the plan obtained by the command receiving module, and the control signal S includes start, stop, and rate adjustment instructions, where S=[current SOC<target SOC? start instruction: stop instruction];

[0080] Among them, if the current SOC is lower than the target SOC, the output control signal S will be a "start command";

[0081] If the current SOC is not lower than the target SOC, the output control signal S will be a "stop command".

[0082] The execution module is also connected to a rate adjustment module, which adjusts the charge and discharge rate R of the charging device to a predetermined value according to the rate instruction in the control signal S sent by the execution module, and the adjustment formula is R=target rate*(current SOC / maximum SOC);

[0083] The rate regulation module is also connected to the state feedback module, which monitors the actual working state and charging rate R' of the charging device, and compares the actual rate R' with the target rate R. If the deviation exceeds the preset range, the control signal S is corrected through the feedback loop. The correction formula is S'=S+(R-R')*adjustment coefficient K to ensure that the charging device works as planned.

[0084] Exemplarily, the control unit is further connected to a feedback unit, which collects actual load conditions during the operation of the uninterruptible power supply and feeds them back to the evaluation unit to optimize its evaluation process;

[0085] Further, the feedback unit includes a load monitoring module, which monitors the actual load P during the operation of the uninterruptible power supply in real time;

[0086] The load monitoring module is connected to the load analysis module, and the load analysis module compares the actual load P monitored by the load monitoring module with the historical load data, and calculates the load fluctuation rate V, the formula of which is V=|current load P-average load Pa| / average load Pa;

[0087] The load analysis module is also connected to the load prediction module, which predicts the expected load Pe in the future period according to the load fluctuation rate V obtained by the load analysis module, and feeds it back to the evaluation unit to adjust the evaluation process, Pe = Pa*(1+V);

[0088] The load prediction module is also connected to the evaluation correction module, which corrects the battery state evaluation result according to the expected load Pe provided by the load prediction module, and the correction formula is SOC'=SOC*(Pe / Pa) to improve the evaluation accuracy.

[0089] Exemplarily, the feedback unit is connected to a balancing unit, and the balancing unit distributes the load among the multiple battery packs according to the load condition provided by the feedback unit to maintain uniform use of each battery pack;

[0090] Further, the balancing unit includes a load receiving module, which receives the actual load condition L provided by the feedback unit;

[0091] The load receiving module is connected to the load distribution module, and the load distribution module calculates the load share Li borne by each battery pack Bi according to the load condition L received by the load receiving module, where Li=L / n, and n is the number of battery packs;

[0092] The load distribution module is also connected to the load adjustment module, which adjusts the load distribution ratio Pi according to the load share Li obtained by the load distribution module and the current state of charge SOCi of each battery pack Bi, where Pi=Li*(SOCi / ΣSOCj), where ΣSOCj represents the sum of the states of charge of all battery packs;

[0093] The load adjustment module is also connected to the load balancing module. The load balancing module dynamically adjusts the load distribution of each battery pack Bi according to the load distribution ratio Pi calculated by the load adjustment module to ensure load balance. The adjustment formula is Pi'=Pi*(1-|SOCi-SOCavg| / SOCavg), where SOCavg is the average state of charge.

[0094] Exemplarily, the balancing unit is further connected to a response unit, and the response unit adjusts the output to meet the instantaneous power demand in real time when a sudden load change is detected according to the instruction of the balancing unit;

[0095] Further, the response unit includes an instruction receiving module, and the instruction receiving module receives the load adjustment instruction of the balancing unit;

[0096] The instruction receiving module is connected to the mutation detection module, which monitors the load change in real time and triggers a response mechanism when it is detected that the load change ΔL exceeds a preset threshold ΔLth;

[0097] The mutation detection module is also connected to a power compensation module, which calculates an additional power demand Padd according to the load change ΔL detected by the mutation detection module, where Padd=k*ΔL, and k is a compensation coefficient;

[0098] The power compensation module is also connected to the output adjustment module, and the output adjustment module adjusts the output power Po to a new target value, Po'=Po+Padd, according to the additional power demand Padd calculated by the power compensation module, so as to immediately meet the instantaneous power demand;

[0099] The output adjustment module is also connected to the feedback correction module, which monitors whether the adjusted output power Po' meets the actual load demand. If there is a deviation, the iterative adjustment formula Po"=Po'+(ΔL-ΔLprev), ΔLprev is the load change after the previous adjustment, until the output power is stable.

[0100] Exemplarily, the response unit is connected to the coordination unit, which is responsible for smooth switching between different working modes to ensure system stability under different operating conditions;

[0101] Further, the coordination unit includes a mode recognition module, and the mode recognition module determines the current working mode M according to the load change information provided by the response unit;

[0102] The mode recognition module is connected to the switching preparation module, and the switching preparation module prepares a corresponding switching strategy S according to the current working mode M determined by the mode recognition module, and the strategy S includes but is not limited to adjusting the working state and output power of the charging device;

[0103] The switching preparation module is also connected to the smooth transition module. When switching the working mode, the smooth transition module gradually adjusts the output parameters to ensure smooth output. The adjustment formula is Pnew=Po ld*(1-α)+Ptarget*α, where α is a smoothing factor, α∈[0,1];

[0104] The smooth transition module is also connected to the stability verification module, which monitors the output stability of the system after switching. If it is detected that the output fluctuation exceeds the preset range, the α value is adjusted, and the adjustment formula is α'=α+δ, where δ is the adjustment step length, until the output returns to stability;

[0105] The stability verification module is also connected to the mode confirmation module, which confirms the new working mode M' after the system output is stable, and feeds back the confirmation information to the mode recognition module to complete the mode switching process.

[0106] Exemplarily, the coordination unit is finally connected to a recording unit, which saves the information acquired by the monitoring unit, the evaluation results of the evaluation unit, the plan of the scheduling unit, the operation record of the control unit, the load condition of the feedback unit, the load distribution plan of the balancing unit, the response behavior of the response unit, and the switching record of the coordination unit for subsequent analysis and system maintenance.

[0107] Further, the recording unit includes a data collection module, which receives information I from the monitoring unit, a result A of the evaluation unit, a plan P of the scheduling unit, an operation record C of the control unit, a load condition L of the feedback unit, a load distribution scheme D of the balancing unit, a response behavior R of the response unit, and a switching record S of the coordination unit;

[0108] The data collection module is connected to the data storage module, and the data storage module classifies and stores the various data received by the data collection module to form a structured database DB, DB = {I, A, P, C, L, D, R, S};

[0109] The data storage module is also connected to a data compression module, which compresses the data in the data storage module to reduce storage space occupation, and the compression ratio CR = compressed size / original size;

[0110] The data compression module is also connected to the data encryption module, which uses an encryption algorithm to encrypt the compressed data to ensure data security. The encryption strength SI = encryption key length * data volume;

[0111] The data encryption module is also connected to the backup management module, which regularly backs up the encrypted data to a safe location, with a backup cycle BC = backup interval time * data update frequency, to ensure data integrity and availability.

[0112] In summary, the present invention achieves accurate evaluation of battery status and intelligent adjustment of charging and discharging plans in an uninterruptible power supply (UPS) system by integrating multiple functional units. Specifically, the following effects are achieved:

[0113] Accurate assessment and intelligent adjustment:

[0114] The monitoring unit continuously obtains the voltage, current and temperature information of the battery to ensure real-time monitoring of the battery status.

[0115] The evaluation unit evaluates the current state and remaining usage capacity of the battery based on the monitoring information, thereby improving the accuracy of the evaluation.

[0116] The scheduling unit adjusts the charging and discharging plan based on the evaluation results to ensure that the battery operates in the optimal state.

[0117] The control unit receives the plan made by the scheduling unit and controls the working mode of the charging equipment accordingly to achieve intelligent regulation.

[0118] Real-time feedback and dynamic adjustment:

[0119] The feedback unit collects the actual load conditions and feeds them back to the evaluation unit to optimize the evaluation process and make the system more adaptable to the actual operating conditions.

[0120] The balancing unit distributes the load among multiple battery packs according to the load conditions, ensuring uniform use of each battery pack and extending the battery life.

[0121] When the response unit detects a sudden load change, it instantly adjusts the output to meet the instantaneous power demand, thereby enhancing the response speed and stability of the system.

[0122] Smooth switching and efficient management:

[0123] The coordination unit is responsible for smooth switching between different working modes to ensure stable operation of the system under different operating conditions.

[0124] The recording unit saves key data of system operation and provides a basis for subsequent analysis and maintenance.

[0125] Data management and security:

[0126] The data collection module receives data from various functional units and integrates them.

[0127] The data storage module stores data in categories to form a structured database DB for easy data retrieval and analysis.

[0128] The data compression module compresses the data to reduce storage space occupation. The compression ratio CR = compressed size / original size, which improves storage efficiency.

[0129] The data encryption module uses an encryption algorithm to encrypt the compressed data to ensure data security. The encryption strength SI = encryption key length * data volume.

[0130] The backup management module regularly backs up the encrypted data to a safe location. The backup cycle BC = backup interval time * data update frequency to ensure data integrity and availability.

[0131] In summary, the present invention integrates monitoring, evaluation, scheduling, control, feedback, balance, response and coordination functional units, and manages data efficiently and ensures safety, thus achieving accurate evaluation of battery status and intelligent adjustment of charging and discharging plans, effectively extending battery life and improving the overall stability and efficiency of the system. In particular, when the load changes suddenly, the system can respond quickly to ensure system stability under different operating conditions.

[0132] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent UPS uninterruptible power supply management system based on charging equipment status, characterized in that: A monitoring unit is included, and the monitoring unit is used to continuously obtain voltage, current and temperature information of a battery in an uninterruptible power supply; The monitoring unit is connected to an evaluation unit, which evaluates the current state and remaining usage capacity of the battery based on information provided by the monitoring unit; The evaluation unit is also connected to a scheduling unit, and the scheduling unit adjusts the charging and discharging plan according to the battery status information provided by the evaluation unit; The scheduling unit is connected to the control unit, and the control unit receives the plan made by the scheduling unit and controls the working mode of the charging device accordingly; The control unit is also connected to a feedback unit, which collects actual load conditions during the operation of the uninterruptible power supply and feeds them back to the evaluation unit to optimize its evaluation process; The feedback unit is connected to a balancing unit, and the balancing unit distributes the load among multiple battery packs according to the load conditions provided by the feedback unit to maintain uniform use of each battery pack; The balancing unit is also connected to a response unit, and the response unit adjusts the output to meet the instantaneous power demand in real time when a sudden load change is detected according to the instruction of the balancing unit; The response unit is connected to the coordination unit, and the coordination unit is responsible for smooth switching between different working modes; The coordination unit is connected to a recording unit, which stores information acquired by the monitoring unit, evaluation results of the evaluation unit, plans of the scheduling unit, operation records of the control unit, load conditions of the feedback unit, load distribution plans of the balancing unit, response behaviors of the response unit, and switching records of the coordination unit.

2. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 1, characterized in that: The monitoring unit includes a data acquisition module, which is used to read the voltage, current and temperature values ​​of the battery in real time; The data acquisition module is connected to the data analysis module, and the data analysis module calculates the current state of charge SOC of the battery according to the value provided by the data acquisition module, where SOC=(current storage power-discharge threshold) / total rated capacity; The data analysis module is also connected to a health assessment module, which uses the SOC value obtained by the data analysis module in combination with historical data to estimate the battery's state of health SOH. The SOH is obtained by comparing the current rated capacity with the initial rated capacity, SOH = (current rated capacity / initial rated capacity)*100%.

3. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 2 is characterized in that: The evaluation unit includes a state acquisition module, which receives voltage, current and temperature information provided by the monitoring unit; The state acquisition module is connected to the capacity calculation module, and the capacity calculation module calculates the remaining capacity state SOC of the battery based on the information received by the state acquisition module using the formula SOC=[(current voltage-discharge cut-off voltage) / (charge cut-off voltage-discharge cut-off voltage)]*[current capacity / rated capacity]; The capacity calculation module is also connected to the health state determination module, which estimates the health state SOH of the battery according to the SOC value change trend and temperature fluctuation calculated by the capacity calculation module through the formula SOH=[1-(accumulated abnormal days / total operating days)]*100%; The health status determination module is also connected to the prediction module. The prediction module predicts the lowest SOH value that the battery may reach in the future based on the SOH value obtained by the health status determination module and the battery usage frequency and discharge depth, and issues an early warning accordingly.

4. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 3 is characterized in that: The scheduling unit includes a plan making module, which receives the battery status information and the remaining usage capacity provided by the evaluation unit; The plan making module is connected to the time window allocation module, and the time window allocation module determines the optimal charging time period t according to the battery state received by the plan making module, where t=[current SOC<preset threshold T? current time: nearest non-peak power period]; The time window allocation module is also connected to the charge and discharge rate setting module, which adjusts the charge and discharge rate r according to the grid electricity price and battery health status in the time period t determined by the time window allocation module, where r = [peak electricity price period? minimum safe rate: maximum allowed rate] * (SOH / 100); The charge and discharge rate setting module is also connected to the dynamic adjustment module, which dynamically adjusts the charge and discharge plan according to the rate r set by the charge and discharge rate setting module and the battery temperature change ΔT monitored during the actual charge and discharge process. The adjustment formula is r'=r*(1-ΔT / allowable temperature rise ΔTmax).

5. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 4 is characterized in that: The control unit includes a command receiving module, which receives the charging and discharging plan formulated by the scheduling unit; The command receiving module is connected to the execution module, and the execution module sends a control signal S to the charging device according to the plan obtained by the command receiving module, and the control signal S includes start, stop, and rate adjustment instructions, where S=[current SOC<target SOC? start instruction: stop instruction]; The execution module is also connected to a rate adjustment module, which adjusts the charge and discharge rate R of the charging device to a predetermined value according to the rate instruction in the control signal S sent by the execution module, and the adjustment formula is R=target rate*(current SOC / maximum SOC); The rate regulation module is also connected to the state feedback module, which monitors the actual working state and charging rate R' of the charging device, and compares the actual rate R' with the target rate R. If the deviation exceeds the preset range, the control signal S is corrected through the feedback loop, and the correction formula is S'=S+(R-R')*adjustment coefficient K.

6. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 5 is characterized in that: The feedback unit includes a load monitoring module, which monitors the actual load P during the operation of the uninterruptible power supply in real time; The load monitoring module is connected to the load analysis module, and the load analysis module compares the actual load P monitored by the load monitoring module with the historical load data, and calculates the load fluctuation rate V, the formula of which is V=|current load P-average load Pa| / average load Pa; The load analysis module is also connected to the load prediction module, which predicts the expected load Pe in the future period according to the load fluctuation rate V obtained by the load analysis module, and feeds it back to the evaluation unit to adjust the evaluation process, Pe = Pa*(1+V); The load prediction module is also connected to the evaluation and correction module. The evaluation and correction module corrects the battery state evaluation result according to the expected load Pe provided by the load prediction module. The correction formula is SOC'=SOC*(Pe / Pa).

7. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 6 is characterized in that: The balancing unit comprises a load receiving module, and the load receiving module receives the actual load condition L provided by the feedback unit; The load receiving module is connected to the load distribution module, and the load distribution module calculates the load share Li borne by each battery pack Bi according to the load condition L received by the load receiving module, where Li=L / n, and n is the number of battery packs; The load distribution module is also connected to a load adjustment module, which adjusts the load distribution ratio Pi according to the load share Li obtained by the load distribution module and the current state of charge SOCi of each battery pack Bi, where Pi=Li*(SOCi / ΣSOCj), and ΣSOCj represents the sum of the states of charge of all battery packs; The load adjustment module is also connected to the load balancing module. The load balancing module dynamically adjusts the load distribution of each battery group Bi according to the load distribution ratio Pi calculated by the load adjustment module to ensure load balance. The adjustment formula is: Pi'=Pi*(1-|SOCi-SOCavg| / SOCavg), SOCavg is the average state of charge.

8. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 7 is characterized in that: The response unit includes an instruction receiving module, and the instruction receiving module receives a load adjustment instruction of the balancing unit; The instruction receiving module is connected to the mutation detection module, which monitors the load change in real time and triggers a response mechanism when it is detected that the load change ΔL exceeds a preset threshold ΔLth; The mutation detection module is also connected to a power compensation module, which calculates an additional power demand Padd according to the load change ΔL detected by the mutation detection module, where Padd=k*ΔL, and k is a compensation coefficient; The power compensation module is also connected to the output adjustment module, and the output adjustment module adjusts the output power Po to a new target value, Po'=Po+Padd, according to the additional power demand Padd calculated by the power compensation module, so as to immediately meet the instantaneous power demand; The output adjustment module is also connected to the feedback correction module, which monitors whether the adjusted output power Po' meets the actual load demand. If there is a deviation, the iterative adjustment formula Po"=Po'+(ΔL-ΔLprev), ΔLprev is the load change after the previous adjustment, until the output power is stable.

9. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 8, characterized in that: The coordination unit includes a mode recognition module, and the mode recognition module determines the current working mode M according to the load change information provided by the response unit; The mode recognition module is connected to the switching preparation module, and the switching preparation module prepares a corresponding switching strategy S according to the current working mode M determined by the mode recognition module; The switching preparation module is also connected to the smooth transition module. When the working mode is switched, the smooth transition module gradually adjusts the output parameters. The adjustment formula is Pnew=Pold*(1-α)+Ptarget*α, where α is a smoothing factor, α∈[0,1]; The smooth transition module is also connected to the stability verification module, which monitors the output stability of the system after switching. If it is detected that the output fluctuation exceeds the preset range, the α value is adjusted, and the adjustment formula is α'=α+δ, where δ is the adjustment step length, until the output returns to stability; The stability verification module is also connected to the mode confirmation module, which confirms the new working mode M' after the system output is stable, and feeds back the confirmation information to the mode recognition module to complete the mode switching process.

10. The intelligent UPS uninterruptible power supply management system based on charging equipment status according to claim 9, characterized in that: The recording unit includes a data collection module, which receives information I from the monitoring unit, a result A of the evaluation unit, a plan P of the scheduling unit, an operation record C of the control unit, a load condition L of the feedback unit, a load distribution scheme D of the balancing unit, a response behavior R of the response unit, and a switching record S of the coordination unit; The data collection module is connected to the data storage module, and the data storage module classifies and stores the various data received by the data collection module to form a structured database DB, DB = {I, A, P, C, L, D, R, S}; The data storage module is also connected to a data compression module, and the data compression module compresses the data in the data storage module; The data compression module is also connected to the data encryption module, and the data encryption module uses an encryption algorithm to encrypt the compressed data; The data encryption module is also connected to the backup management module, and the backup management module regularly backs up the encrypted data to a safe location.

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