Intelligent lithium battery power management and control system

Abstract

The present invention relates to the technical field of lithium battery power supply management and control, and discloses an intelligent lithium battery power supply management and control system, including a lithium battery power supply output module, a lithium battery power supply input module and a battery health status evaluation system, wherein the lithium battery power supply output module includes a BMS output monitoring module, an output learning module, an output instruction module and an EMS output module, and the BMS output monitoring module and the EMS output module are both electrically connected to each intelligent lithium battery block. During use, the present invention improves the output operation status of the current lithium battery power supply through the lithium battery power supply output module, and can objectively and specifically obtain the learning instructions of at least one current output task for the user according to the user's usage needs and habits learned, and determines the output value of the lithium battery power supply through the intelligent output method of the lithium battery obtained by the learning module for rational planning, thereby further improving the power distribution effect of the lithium battery.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery power management and control, and in particular to an intelligent lithium battery power management and control system. Background Art

[0002] Lithium batteries are a type of battery that uses lithium metal or lithium alloy as positive / negative electrode materials and non-aqueous electrolyte solutions. In 1912, lithium metal batteries were first proposed and studied by Gilbert N. Lewis. In the 1970s, MS Whittingham proposed and began to study lithium-ion batteries. Due to the very active chemical properties of lithium metal, the processing, storage, and use of lithium metal have very high environmental requirements. With the development of science and technology, lithium batteries have become mainstream. Lithium batteries can be roughly divided into two categories: lithium metal batteries and lithium-ion batteries. Lithium-ion batteries do not contain metallic lithium and are rechargeable. The fifth generation of rechargeable batteries, lithium metal batteries, was born in 1996. Their safety, specific capacity, self-discharge rate, and performance-price ratio are all better than lithium-ion batteries.

[0003] The lithium battery power management and control system in the prior art often has no autonomy in the lithium battery power management mode during use, so that the required output value is directly output, which leads to a decrease in the service life of the lithium battery during use. There is also unreasonable use of lithium batteries, which leads to a decrease in the use effect of the lithium batteries.

[0004] After searching, it is found that a Chinese patent document discloses an electric energy control system (publication number: CN110231566B). The present invention provides an electric energy control system, including: an SOFC model, which is used to output a first simulation result to a signal board, and the first simulation result includes: a first current and a first voltage output by the SOFC model; a lithium battery model, which is used to output a second simulation result to a bidirectional DC power supply, and the second simulation result includes a charging current or a discharging current of the lithium battery model; a first current sensor is used to collect the actual current output by the lithium battery model; a first voltage sensor is used to collect the actual voltage output by the lithium battery model; a semi-physical simulator is used to determine the state of charge SOC value of the lithium battery model and the health state SOH value of the lithium battery based on the actual current, actual voltage, preset state of charge estimation model and health state estimation model of the lithium battery model by using a particle filter algorithm; a controller is used to control the current output by the lithium battery model by using a fuzzy control algorithm based on the SOC value, SOH value and load current Iload, but there are still the following defects:

[0005] Although the above-mentioned power management and control system realizes the control of the current output by the lithium battery model using a fuzzy control algorithm, it still has the problem of lack of autonomy in the lithium battery power management method during use, so that the required output value is directly output, which leads to a decrease in the service life of the lithium battery during use. There is also the problem of unreasonable use of lithium batteries, which leads to a decrease in the use effect of lithium batteries. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent lithium battery power management and control system, which solves the problem that the lithium battery power management method often has no autonomy during use in the background technology, so that the required output value is directly output, which leads to a decrease in the service life of the lithium battery during use. There is also the problem of unreasonable use of lithium batteries, which leads to a decrease in the use effect of the lithium batteries.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] An intelligent lithium battery power management and control system, including a lithium battery power output module, a lithium battery power input module and a battery health status evaluation system, wherein the lithium battery power output module includes a BMS output monitoring module, an output learning module, an output instruction module and an EMS output module;

[0009] The BMS output monitoring module and the EMS output module are both electrically connected to the smart lithium battery blocks, and the BMS output monitoring module and the EMS output module are both electrically connected to the output instruction module, and the output instruction module is electrically connected to the output learning module;

[0010] The lithium battery power input module includes a BMS input monitoring module, an EMS input module, a calibration module and a replenishment plan module;

[0011] The BMS input monitoring module and the EMS input module are both electrically connected to the smart lithium battery blocks, and the BMS input monitoring module is electrically connected to the replenishment plan module, the EMS input module is electrically connected to the calibration module, and the calibration module is electrically connected to the EMS output module;

[0012] The battery health status evaluation system includes a data acquisition module, a monitoring and protection module and a battery health status evaluation module. The data acquisition module and the monitoring and protection module are both electrically connected to each battery block of the smart lithium battery, and the data acquisition module and the monitoring and protection module are both electrically connected to the battery health status evaluation module.

[0013] Preferably, the function of the BMS output monitoring module is to complete the corresponding discharge of each battery block of the current lithium battery according to the output requirements of the output instruction module;

[0014] The EMS output module is used to obtain the battery data of each battery block of the current lithium battery, and transmit the battery usage parameter data of the current output instruction obtained in real time to the output learning module;

[0015] The output learning module is used to learn the usage requirements and output values ​​of the current lithium battery power source, and obtain the learning instructions of at least one current output task according to the learned user usage requirements and habits;

[0016] The output instruction module is used to receive the learning instruction transmitted by the output learning module and to judge whether the learning instruction is reasonable.

[0017] Preferably, the learning instruction is learned through the output learning module in the following specific steps:

[0018] (1): First, build an intelligent learning model for lithium battery output;

[0019] (2): Set a time threshold to collect user habits and usage demand parameter data, and perform standardized processing;

[0020] (3): The user’s habits and usage demand parameter data within the standardized time threshold are used as the input value of the intelligent learning model;

[0021] (4): The intelligent learning model adopts a linear regression strategy;

[0022] (5): Obtain the calculation and simulation of the intelligent learning model by adopting the regression strategy;

[0023] (6): Obtain learning instructions.

[0024] Preferably, the specific operation process of the lithium battery power output module is:

[0025] S1: First, output the learning module and obtain the learning instructions of at least one current output task;

[0026] S2: Secondly, the acquired learning instructions of all output tasks are transmitted to the output instruction module;

[0027] S3: judging the rationality of the currently generated learning instruction through the output instruction module;

[0028] S4: Send the reasonable learning instructions to the BMS output monitoring module through output instructions;

[0029] S5: Then the output of the lithium battery power is completed through the BMS output monitoring module;

[0030] S6: Finally, the EMS output module obtains the battery data of each battery block of the current lithium battery and the battery data that completes the learning instruction.

[0031] Preferably, the function of the BMS input monitoring module is to complete the corresponding charging of each battery block of the current lithium battery according to the replenishment demand of the planning module;

[0032] The function of the EMS input module is to obtain the battery data of each battery block of the current lithium battery, and to calibrate the battery data in real time during the replenishment process of each battery block of the current lithium battery according to the real-time input monitoring module of the BMS until the replenishment operation is completed, and after the replenishment operation is completed, the finally obtained battery data is transmitted to the calibration module;

[0033] The function of the calibration module is that when the BMS input monitoring module completes the replenishment operation of the current lithium battery, it will obtain the final battery data through the EMS input module, and complete the calibration by matching the obtained final battery data with the battery data obtained by the EMS output module.

[0034] Preferably, the function of the replenishment plan module is to complete the collection of parameter data based on the user's usage habits, replenishment habits and usage needs, and use the above data as a benchmark to build an optimized replenishment task based on the current remaining power of the lithium battery, and then transmit the replenishment requirements and methods of the optimized replenishment task to the BMS input monitoring module, so that the BMS input monitoring module performs corresponding replenishment operations according to the replenishment requirements of the optimized replenishment task.

[0035] Preferably, the specific steps of generating the optimized replenishment task through the replenishment planning module are:

[0036] (1): First, the replenishment planning module sets a time threshold for collecting parameter data on usage habits and replenishment habits and usage needs;

[0037] (2): Secondly, the replenishment planning module collects parameter data of usage habits, replenishment habits and usage needs within the time threshold;

[0038] (3): Analyze the collected parameter data of usage habits, replenishment habits and usage needs;

[0039] (4): Obtain the available recharge time period, usage time period and lithium battery output power parameter data through analysis;

[0040] (5): Add floating thresholds based on the replenishment time period parameter data, usage habit time period parameter data, and lithium battery output power parameter data;

[0041] (6): Establish fusion indicators for the parameter data of the replenishment time period after adding the floating threshold, the parameter data of the usage habit time period, and the parameter data of the lithium battery output power;

[0042] (7): Optimize the refueling task when it is needed, obtain the remaining power of the current lithium-ion vehicle, and integrate the remaining refueling time period parameters and usage habit time period parameter data with the corresponding fusion indicators;

[0043] (8): Obtain the optimized supply task for lithium battery supply.

[0044] Preferably, the data acquisition module is used to monitor the basic parameter data of the current lithium battery in real time, and the basic parameter data at least includes voltage parameter data, internal resistance parameter data, maximum value parameter data and minimum value parameter data of temperature, average value parameter data, range parameter data, mean difference parameter data and mean square deviation parameter data, charging parameter data, discharging parameter data and floating charge parameter data.

[0045] Preferably, the function of the monitoring and protection module is to monitor the parameter data of the current lithium battery that affects the lithium battery, and when the monitored parameter data affecting the lithium battery exceeds the corresponding threshold, it is interacted with the user end for the user end to perform corresponding operations. The parameter data affecting the lithium battery include single cell voltage, temperature, internal resistance, and assist in screening faulty batteries, undercharged batteries, overcharged batteries, and thermal runaway batteries.

[0046] Preferably, the battery health status evaluation module is used to receive the basic parameter data of the current lithium battery collected by the data acquisition module, and receive the parameter data of the current lithium battery affecting the lithium battery from the protection module, and adopts 7 24h real-time monitoring, the battery health status evaluation module has the function of patrolling the terminal voltage, single cell voltage, charging current, ambient temperature, and battery negative electrode battery temperature of the lithium battery according to the time threshold, and has the function of online measuring the lithium battery voltage balance, battery pack capacity, discharge duration, single cell internal resistance, single cell capacity, and battery leakage monitoring;

[0047] The battery health status evaluation module can also simulate the best and worst values ​​of the current usage time of the lithium battery according to the current lithium battery operating time, and collect all the parameter data obtained, and obtain each impact value based on the impact on the life of the lithium battery, and obtain the current battery health status according to the acquired impact value set, and then compare the current battery health status with the best and worst values ​​of the previous usage time, generate a health report for the lithium battery, and interact with the user end.

[0048] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0049] 1. During use, the present invention improves the output operation status of the current lithium battery power supply through the lithium battery power supply output module, and can objectively and specifically obtain learning instructions for at least one current output task for the user based on the user's usage needs and habits learned, and through the intelligent output method of the lithium battery obtained by the learning module, determine the output value of the lithium battery power supply for rational planning, and further improve the power distribution effect of the lithium battery.

[0050] 2. During use, the present invention uses a lithium battery power input module. In this way, during the lithium battery power replenishment process, it can be based on the user's needs and habits combined with the current remaining power of the lithium battery, and an optimized replenishment task can be constructed through the replenishment plan module. The lithium battery is replenished by optimizing the replenishment task. In this way, the lithium battery can be replenished in a targeted manner through the optimized replenishment task. This method can use the optimized replenishment method to perform the replenishment operation in a gradually increasing manner without affecting the normal output and use of the lithium battery, thereby effectively extending the service life of the lithium battery.

[0051] 3. During use, the present invention analyzes the health status of the lithium battery through the battery health status evaluation system, and can analyze the diversified data of the lithium battery through the battery health status evaluation system, and generate a battery health status evaluation report for the current lithium battery through the impact values ​​of various data and simulation of the expected health status of the lithium battery. The intuitive battery health status evaluation report can help users improve the use of lithium batteries and effectively extend the service life of lithium batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a schematic diagram of the structure of the intelligent lithium battery power management and control system of the present invention;

[0053] Figure 2 A schematic diagram of specific steps of learning instructions through an output learning module in the present invention;

[0054] Figure 3 This is a schematic diagram of the specific operation flow of the lithium battery power output module in the present invention;

[0055] Figure 4 A schematic diagram of specific steps for optimizing the replenishment task in the present invention generated by the replenishment planning module;

[0056] Figure 5 The figure is a schematic diagram of the specific operation flow of the battery health status evaluation module in the present invention. DETAILED DESCRIPTION

[0057] 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.

[0058] See also Figure 1-5 , the intelligent lithium battery power management and control system includes a lithium battery power output module, a lithium battery power input module and a battery health status evaluation system. The lithium battery power output module includes a BMS output monitoring module, an output learning module, an output instruction module and an EMS output module.

[0059] The BMS output monitoring module and the EMS output module are both electrically connected to the smart lithium battery blocks, and the BMS output monitoring module and the EMS output module are both electrically connected to the output instruction module, and the output instruction module is electrically connected to the output learning module.

[0060] The lithium battery power input module includes a BMS input monitoring module, an EMS input module, a calibration module and a replenishment plan module.

[0061] The BMS input monitoring module and the EMS input module are both electrically connected to the smart lithium battery blocks, and the BMS input monitoring module is electrically connected to the replenishment planning module, the EMS input module is electrically connected to the calibration module, and the calibration module is electrically connected to the EMS output module.

[0062] The battery health status evaluation system includes a data acquisition module, a monitoring and protection module and a battery health status evaluation module. The data acquisition module and the monitoring and protection module are electrically connected to each battery block of the smart lithium battery, and the data acquisition module and the monitoring and protection module are electrically connected to the battery health status evaluation module.

[0063] The function of the BMS output monitoring module is to complete the corresponding discharge of each battery block of the current lithium battery according to the output requirements of the output instruction module.

[0064] The function of the EMS output module is to obtain the battery data of each battery block of the current lithium battery, and transmit the battery usage parameter data of the current output instruction obtained in real time to the output learning module.

[0065] The function of the output learning module is to learn the current usage requirements and output values ​​of the lithium battery power supply, and based on the learned user usage requirements and habits, obtain the learning instructions of at least one current output task, and obtain the intelligent output method of the lithium battery through the learning module. Through the set output learning module, the output value of the lithium battery power supply can be determined through the intelligent output method of the lithium battery obtained by the learning module during use for rational planning, thereby further improving the power distribution effect of the lithium battery.

[0066] The function of the output instruction module is to receive the learning instructions transmitted by the output learning module, and to judge whether the learning instructions are reasonable. The judgment of whether the learning instructions are reasonable is completed by comparing the battery usage parameter data in the learning instructions with the total remaining power of each battery card block of the current lithium battery monitored by the EMS output module, and judging whether the total remaining power can meet the requirements of the learning instructions.

[0067] The function of the BMS input monitoring module is to complete the corresponding charging of each battery block of the current lithium battery according to the replenishment requirements of the planning module.

[0068] The function of the EMS input module is to obtain the battery data of each battery block of the current lithium battery, and calibrate the battery data in real time during the replenishment process of each battery block of the current lithium battery according to the real-time BMS input monitoring module until the replenishment operation is completed, and after the replenishment operation is completed, the battery data finally obtained is transmitted to the calibration module. In the process of real-time calibration of the battery data during the replenishment process of each battery block of the current lithium battery, the BMS input monitoring module will also generate a waveform replenishment diagram for the current lithium battery, and interact the waveform replenishment diagram to the user end.

[0069] The function of the calibration module is that when the BMS input monitoring module completes the replenishment operation of the current lithium battery, it will obtain the final battery data through the EMS input module, and complete the calibration by matching the final battery data obtained with the battery data obtained by the EMS output module. When the battery data obtained by the EMS input module and the EMS output module do not match after the calibration, the battery data of the lithium battery will be read again through the EMS input module and the EMS output module, and calibrated again. Through the set calibration module, the current lithium battery's power parameter data can be read and calibrated through the EMS input module and the EMS output module respectively during use, thereby ensuring that the current lithium battery's power is accurately displayed.

[0070] The function of the replenishment plan module is to complete the collection of parameter data based on the user's usage habits, replenishment habits and usage needs, and use the above data as a benchmark to build an optimized replenishment task based on the current remaining power of the lithium battery. The replenishment requirements and methods of the optimized replenishment task are then transmitted to the BMS input monitoring module, so that the BMS input monitoring module can perform corresponding replenishment operations based on the replenishment requirements of the optimized replenishment task.

[0071] The purpose of using the data acquisition module is to monitor the basic parameter data of the current lithium battery in real time, and the basic parameter data at least includes voltage parameter data, internal resistance parameter data, maximum value parameter data and minimum value parameter data of temperature, average value parameter data, range parameter data, mean difference parameter data and mean square deviation parameter data, charging parameter data, discharging parameter data and floating charge parameter data.

[0072] The function of the monitoring and protection module is to monitor the parameter data that affects the current lithium battery, and when the monitored parameter data that affects the lithium battery exceeds the corresponding threshold, it is interacted with the user end for the user end to perform corresponding operations. The parameter data that affects the lithium battery include single cell voltage, temperature, and internal resistance, which assists in screening faulty batteries, undercharged batteries, overcharged batteries, and thermal runaway batteries.

[0073] See also Figure 2 , the intelligent lithium battery power management and control system includes learning instructions. The learning instructions are learned through the output learning module. The specific steps are:

[0074] (1): First, build an intelligent learning model for lithium battery output;

[0075] (2): Set a time threshold to collect user habits and usage demand parameter data, and perform standardized processing;

[0076] (3): The user’s habits and usage demand parameter data within the standardized time threshold are used as the input value of the intelligent learning model;

[0077] (4): The intelligent learning model adopts a linear regression strategy;

[0078] (5): Obtain the calculation and simulation of the intelligent learning model by adopting the regression strategy;

[0079] (6): Obtain learning instructions.

[0080] See also Figure 3 , the intelligent lithium battery power management and control system includes a lithium battery power output module. The specific operation process of the lithium battery power output module is:

[0081] S1: First, output the learning module and obtain the learning instructions of at least one current output task;

[0082] S2: Secondly, the acquired learning instructions of all output tasks are transmitted to the output instruction module;

[0083] S3: judging the rationality of the currently generated learning instruction through the output instruction module;

[0084] S4: Send the reasonable learning instructions to the BMS output monitoring module through output instructions;

[0085] S5: Then the output of the lithium battery power is completed through the BMS output monitoring module;

[0086] S6: Finally, the EMS output module obtains the battery data of each battery block of the current lithium battery and the battery data that completes the learning instruction.

[0087] See also Figure 4 ,The intelligent lithium battery power management and control system includes the optimization of supply tasks. The specific steps of optimizing supply tasks generated by the supply plan module are:

[0088] (1): First, the replenishment planning module sets a time threshold for collecting parameter data on usage habits and replenishment habits and usage needs;

[0089] (2): Secondly, the replenishment planning module collects parameter data of usage habits, replenishment habits and usage needs within the time threshold;

[0090] (3): Analyze the collected parameter data of usage habits, replenishment habits and usage needs;

[0091] (4): Obtain the available recharge time period, usage time period and lithium battery output power parameter data through analysis;

[0092] (5): Add floating thresholds based on the replenishment time period parameter data, usage habit time period parameter data, and lithium battery output power parameter data;

[0093] (6): Establish fusion indicators for the parameter data of the replenishment time period after adding the floating threshold, the parameter data of the usage habit time period, and the parameter data of the lithium battery output power;

[0094] (7): Optimize the refueling task when it is needed, obtain the remaining power of the current lithium-ion vehicle, and integrate the remaining refueling time period parameters and usage habit time period parameter data with the corresponding fusion indicators;

[0095] (8): Obtain the optimized supply task for lithium battery supply.

[0096] See also Figure 1-5The intelligent lithium battery power supply management and control system includes a battery health status evaluation module. The function of the battery health status evaluation module is to receive the basic parameter data of the current lithium battery collected by the data acquisition module, and receive the parameter data of the current lithium battery affecting the lithium battery from the protection module. At the same time, it adopts 7*24h real-time monitoring. The battery health status evaluation module has the function of patrolling the terminal voltage, single cell voltage, charging current, ambient temperature, and battery negative electrode battery temperature of the lithium battery according to the time threshold. At the same time, it has the function of online measurement of lithium battery voltage balance, battery pack capacity, discharge duration, single cell internal resistance, single cell capacity, and battery leakage monitoring.

[0097] The specific operation process of the battery health evaluation module is as follows:

[0098] S1: First, the battery health status evaluation module receives the basic parameter data of the current lithium battery collected by the data acquisition module, and receives the parameter data of the current lithium battery affecting the lithium battery from the protection module;

[0099] S2: The battery health evaluation module uses 7 24h real-time monitoring;

[0100] S3: The battery health status evaluation module simulates the best and worst values ​​of the current use time of the lithium battery according to the current lithium battery operation time;

[0101] S4: Collect all the acquired parameter data;

[0102] S5: Obtaining various impact values ​​according to the impact on the life of the lithium battery;

[0103] S6: Obtaining the current health status of the battery according to the acquired impact value set;

[0104] S7: Compare the current battery health status with the best value and the worst value of the previous usage time;

[0105] S8: Generate a health report for the lithium battery and communicate it to the user.

[0106] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit thereof, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent lithium battery power management and control system, including lithium battery power output module, lithium battery power input module and battery health status evaluation system, characterized by: The lithium battery power output module includes a BMS output monitoring module, an output learning module, an output instruction module and an EMS output module; The BMS output monitoring module and the EMS output module are both electrically connected to each battery block of the smart lithium battery, and the BMS output monitoring module and the EMS output module are both electrically connected to the output instruction module, and the output instruction module is electrically connected to the output learning module; The lithium battery power input module includes a BMS input monitoring module, an EMS input module, a calibration module and a replenishment plan module; The BMS input monitoring module and the EMS input module are both electrically connected to each battery block of the smart lithium battery, and the BMS input monitoring module is electrically connected to the replenishment plan module, the EMS input module is electrically connected to the calibration module, and the calibration module is electrically connected to the EMS output module; The battery health status evaluation system includes a data acquisition module, a monitoring and protection module and a battery health status evaluation module, wherein the data acquisition module and the monitoring and protection module are both electrically connected to each battery block of the smart lithium battery, and the data acquisition module and the monitoring and protection module are both electrically connected to the battery health status evaluation module; The function of the BMS output monitoring module is to complete the corresponding discharge of each battery block of the current smart lithium battery according to the output requirements of the output instruction module; The EMS output module is used to obtain the battery data of each battery block of the current lithium battery, and transmit the battery usage parameter data of the current output instruction obtained in real time to the output learning module; The output learning module is used to learn the usage requirements and output values ​​of the current lithium battery power source, and obtain the learning instructions of at least one current output task according to the learned user usage requirements and habits; The output instruction module is used to receive the learning instruction transmitted by the output learning module and judge whether the learning instruction is reasonable. The function of the BMS input monitoring module is to complete the corresponding charging of each battery block of the current lithium battery according to the replenishment requirements of the planning module; The function of the EMS input module is to obtain the battery data of each battery block of the current lithium battery, and to calibrate the battery data in real time during the replenishment process of each battery block of the current lithium battery according to the real-time input monitoring module of the BMS until the replenishment operation is completed, and after the replenishment operation is completed, the finally obtained battery data is transmitted to the calibration module; The function of the calibration module is that when the BMS input monitoring module completes the replenishment operation of the current lithium battery, it will obtain the final battery data through the EMS input module, and complete the calibration by matching the obtained final battery data with the battery data obtained by the EMS output module; The function of the replenishment plan module is to complete the collection of parameter data based on the user's usage habits, replenishment habits and usage needs, and use the above data as a benchmark to build an optimized replenishment task based on the current remaining power of the lithium battery, and then transmit the replenishment requirements and methods of the optimized replenishment task to the BMS input monitoring module, so that the BMS input monitoring module performs corresponding replenishment operations according to the replenishment requirements of the optimized replenishment task; The specific steps of generating the optimized replenishment task through the replenishment planning module are as follows: (1): First, the replenishment planning module sets a time threshold for collecting parameter data on usage habits and replenishment habits and usage needs; (2): Secondly, the replenishment planning module collects parameter data of usage habits, replenishment habits and usage needs within the time threshold; (3): Analyze the collected parameter data of usage habits, replenishment habits and usage needs; (4): Obtain the available recharge time period, usage time period and lithium battery output power parameter data through analysis; (5): Add floating thresholds based on the replenishment time period parameter data, usage habit time period parameter data, and lithium battery output power parameter data; (6): Establish fusion indicators for the parameter data of the replenishment time period after adding the floating threshold, the parameter data of the usage habit time period, and the parameter data of the lithium battery output power; (7): Optimize the refueling task when it is needed, obtain the remaining power of the current lithium-ion vehicle, and integrate the remaining refueling time period parameters and usage habit time period parameter data with the corresponding fusion indicators; (8): Obtain the optimized supply task for lithium battery supply.

2. The intelligent lithium battery power management and control system according to claim 1, characterized in that: The specific steps of learning the learning instruction through the output learning module are as follows: (1): First, build an intelligent learning model for lithium battery output; (2): Set a time threshold to collect user habits and usage demand parameter data, and perform standardized processing; (3): The user’s habits and usage demand parameter data within the standardized time threshold are used as the input value of the intelligent learning model; (4): The intelligent learning model adopts a linear regression strategy; (5): Obtain the calculation and simulation of the intelligent learning model by adopting the regression strategy; (6): Obtain learning instructions.

3. The intelligent lithium battery power management and control system according to claim 1, characterized in that: The specific operation process of the lithium battery power output module is as follows: S1: First, output the learning module and obtain the learning instructions of at least one current output task; S2: Secondly, the acquired learning instructions of all output tasks are transmitted to the output instruction module; S3: judging the rationality of the currently generated learning instruction through the output instruction module; S4: Send the reasonable learning instructions to the BMS output monitoring module through output instructions; S5: Then the output of the lithium battery power is completed through the BMS output monitoring module; S6: Finally, the EMS output module obtains the battery data of each battery block of the current lithium battery and the battery data that completes the learning instruction.

4. The intelligent lithium battery power management and control system according to claim 1, characterized in that: The function of the data acquisition module is to monitor the basic parameter data of the current lithium battery in real time, and the basic parameter data at least includes voltage parameter data, internal resistance parameter data, maximum value parameter data and minimum value parameter data of temperature, average value parameter data, range parameter data, mean difference parameter data and mean square deviation parameter data, charging parameter data, discharging parameter data and floating charge parameter data.

5. The intelligent lithium battery power management and control system according to claim 1, characterized in that: The function of the monitoring and protection module is to monitor the parameter data of the current lithium battery that affects the lithium battery, and when the monitored parameter data that affects the lithium battery exceeds the corresponding threshold, it is interacted with the user end for the user end to perform corresponding operations. The parameter data that affects the lithium battery includes single cell voltage, temperature and internal resistance, which assists in screening faulty batteries, undercharged batteries, overcharged batteries and thermal runaway batteries.

6. The intelligent lithium battery power management and control system according to claim 1, characterized in that: The function of the battery health status evaluation module is to receive the basic parameter data of the current lithium battery collected by the data acquisition module, and receive the parameter data of the current lithium battery affecting the lithium battery from the protection module, and use 7 24h real-time monitoring, the battery health status evaluation module has the function of patrolling the terminal voltage, single cell voltage, charging current, ambient temperature and battery negative electrode battery temperature of the lithium battery according to the time threshold, and has the function of online measuring the lithium battery voltage balance, battery pack capacity, discharge duration, single cell internal resistance, single cell capacity and battery leakage monitoring; The battery health status evaluation module can also simulate the best and worst values ​​of the current usage time of the lithium battery according to the current lithium battery operating time, and collect all the parameter data obtained, and obtain each impact value based on the impact on the life of the lithium battery, and obtain the current battery health status according to the acquired impact value set, and then compare the current battery health status with the best and worst values ​​of the previous usage time, generate a health report for the lithium battery, and interact with the user end.

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