Vehicle power battery tracking and recycling system based on Internet of Things

Abstract

The invention discloses a vehicle power battery tracking and recycling system based on the Internet of Things, and particularly relates to the technical field of vehicle power battery recycling monitoring. The real-time capacity of the battery is calculated based on the monitored data and the introduced capacity correction coefficient of the battery temperature, so that the calculation precision of the battery capacity can be improved; meanwhile, the real-time battery internal resistance, the real-time open-circuit voltage, the average charging duration of charging 20% of electric quantity in real time, the real-time average maximum voltage difference of the single batteries and the real-time average maximum temperature difference of the single batteries are calculated based on monitoring data; the comprehensive health degree index of the battery is evaluated based on the change relation between the real-time index and the initial index and the weight coefficient of each index, and then whether the battery needs to be recycled is judged, so that the accuracy of battery recycling judgment can be improved, and the application safety of the vehicle power battery is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle power battery recovery and monitoring, and more specifically, to a vehicle power battery tracking and recovery system based on the Internet of Things. Background Art

[0002] With the increasing popularity of green environmental protection and sustainable development concepts, new energy vehicles have gradually replaced traditional fuel vehicles and become the main means of transportation for people. However, with the rapid development of new energy vehicles, the recycling of power batteries for new energy vehicles has also become a new problem.

[0003] The key to the automotive power battery tracking and recycling system is how to determine whether the automotive power batteries of new energy vehicles need to be recycled based on the actual vehicle charging and discharging data of new energy vehicles. The existing automotive power battery recycling judgment is usually based on the battery capacity decay rate as a benchmark. The real-time battery capacity is calculated based on the voltage and current data during the charging process, and then the ratio of the real-time battery capacity to the nominal capacity of the battery is calculated to obtain the percentage of remaining battery capacity, and then the battery capacity decay rate is calculated. If the decay rate meets the standard, the battery is determined to be recycled.

[0004] However, the existing method of judging whether to recycle batteries based on actual vehicle charging and discharging data has some defects: on the one hand, the voltage and current of automotive power batteries will fluctuate due to the influence of temperature during the charging and discharging process. Calculating the battery capacity based only on voltage and current is prone to errors, and the accuracy of battery capacity calculation needs to be improved; on the other hand, battery capacity is a key indicator for evaluating whether automotive power batteries need to be recycled, but it is not the only indicator. Judging whether to recycle automotive power batteries based only on battery capacity is one-sided, and the accuracy of the judgment results still needs to be improved. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a vehicle power battery tracking and recycling system based on the Internet of Things. The concept of temperature capacity correction coefficient is introduced when calculating the battery capacity, which can improve the accuracy of battery capacity calculation. When judging whether the vehicle power battery needs to be recycled, the battery internal resistance, battery open circuit voltage, average charging time for charging 20% ​​of the power, average maximum voltage difference of single cells and average maximum temperature difference of single cells are introduced. The changes of relevant parameters in the battery application process are analyzed from multiple angles, and based on this, it is judged whether the vehicle power battery needs to be recycled, which can improve the accuracy of battery recycling judgment and ensure the application safety of vehicle power batteries.

[0006] To achieve the above purpose, the present invention provides the following technical solution: a vehicle power battery tracking and recycling system based on the Internet of Things, comprising:

[0007] Battery database construction module: constructs a battery database for the produced automotive power battery packs, which stores basic information, location information, ownership information and application information of the automotive power battery packs;

[0008] Battery application monitoring module: real-time monitoring of the application information of the vehicle power battery pack during the parking charging process and the driving discharge process of new energy vehicles, and directly uploading the monitoring results to the battery database;

[0009] Battery application data processing module: processes the monitored battery application data to calculate the real-time battery capacity, battery internal resistance, open circuit voltage, average charging time for charging 20% ​​of the power, average maximum voltage difference of single cells, and average maximum voltage difference of single cells;

[0010] Battery comprehensive health evaluation module: The entropy weight method is used to calculate the weight coefficients of various indicators for battery comprehensive health evaluation, and the various indicator parameters in the basic information of the vehicle power battery pack are used as standards to evaluate the battery comprehensive health index in real time;

[0011] Battery recycling determination module: compares the calculated battery comprehensive health index SOH with the set battery recycling comprehensive health critical value to determine whether the battery meets the recycling standards, and generates instruction information based on the determination result;

[0012] Battery recycling appointment form creation module: used for the new energy vehicle owner who installs the vehicle power battery to create a vehicle power battery recycling appointment form, which includes the ID number, contact information, expected door-to-door recycling time, whether the battery needs to be replaced, the vehicle power battery pack model and production number;

[0013] Battery location and recycling module: Generates a battery recycling task list based on the battery recycling appointment list and automatically assigns battery recycling tasks, and performs battery recycling work based on the battery recycling task list.

[0014] Technical effects and advantages of the present invention:

[0015] The present invention monitors the charging start time, charging end time, remaining power at the start of charging, remaining power at the end of charging, charging voltage, charging current, open circuit voltage, single cell voltage and single cell temperature in the parking charging process, and the discharge start time, discharge end time, discharge voltage, discharge current, single cell voltage and single cell temperature in the driving discharge process, introduces the capacity correction coefficient of the battery temperature to calculate the real-time capacity of the battery, which can improve the accuracy of the battery capacity calculation, and at the same time calculates the real-time battery internal resistance, real-time open circuit voltage, real-time average charging time for charging 20% ​​of the power, real-time average maximum voltage difference of single cells and real-time average maximum temperature difference of single cells, evaluates the comprehensive health index of the battery based on the change relationship between the real-time index and the initial index and the weight coefficient of each index, and then judges whether the battery needs to be recycled, which can improve the accuracy of battery recycling judgment and ensure the application safety of automotive power batteries. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a system structure block diagram of the present invention.

[0017] Figure 2 It is a diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0018] 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. Figure 1 The embodiment shown provides an automotive power battery tracking and recycling system based on the Internet of Things, including a battery database construction module, a battery application monitoring module, a battery application data processing module, a battery comprehensive health assessment module, a battery recycling determination module, a battery recycling appointment form creation module and a battery positioning recycling module. The battery application monitoring module is connected to the battery database construction module, the battery database construction module, the battery application data processing module, the battery comprehensive health assessment module, the battery recycling determination module, the battery recycling appointment form creation module and the battery positioning recycling module are connected in sequence, and the battery database construction module is connected to the battery comprehensive health assessment module and the battery positioning recycling module.

[0019] The battery database construction module constructs a battery database for the produced vehicle power battery pack, and the battery database stores basic information, location information, ownership information and application information of the vehicle power battery pack;

[0020] Furthermore, the vehicle power battery pack is equipped with an RFID tag equipped with a positioning chip, which stores basic information of the vehicle power battery pack, including constituent materials, model, production batch, production time, production number, battery nominal capacity and battery nominal internal resistance at nominal temperature, battery open circuit voltage, average charging time for charging 20% ​​of the power, and average maximum voltage difference and average maximum temperature difference of single cells during the first charge and discharge. The positioning chip updates the real-world geographic location coordinates of the vehicle power battery in real time, and scanning the RFID tag can directly obtain basic information and location information of the vehicle power battery pack.

[0021] In this embodiment, it should be specifically explained that capacity is a key indicator for evaluating whether a vehicle power battery needs to be recycled. As the battery is used and the number of charge and discharge cycles increases, the battery capacity will gradually decrease, which is called capacity decay or capacity loss. When the ratio of the remaining capacity of the battery to the initial capacity decays to a certain extent, the vehicle power battery needs to be recycled; the internal resistance of the battery is an important indicator for measuring battery performance and health. As the number of times the battery is used increases, the internal resistance usually increases gradually. The increase in internal resistance will lead to a decrease in the battery's charge and discharge efficiency, a decrease in the battery's available capacity, and thus a shortening of the battery's service life. By monitoring and controlling the internal resistance, the battery's health can be effectively evaluated and the battery's efficiency and safety can be improved. Measuring the open circuit voltage of the battery can intuitively reflect the battery's current state of charge. By monitoring the change in open circuit voltage, the battery's performance decay can be predicted. The charging time is one of the important indicators for measuring the battery's charging performance. The shorter the time required to charge the battery from a low charge to a higher charge, the higher the battery's charging efficiency. Under charging conditions, as the number of times the battery is used increases, the battery internal resistance increases, the capacity decays, and the charging efficiency decreases, which will cause the battery charging time to decrease. The battery health can be comprehensively evaluated based on the change in charging time. The voltage difference between single cells reflects the consistency and balance of the battery pack. If the voltage difference between single cells is too large, it may cause the performance of the battery pack to decline and the life of the battery pack to shorten. By monitoring the average maximum voltage difference of single cells during the charging and discharging process, the imbalance problem in the battery pack can be discovered in time, and the health of the battery pack can be comprehensively evaluated based on this. Temperature is one of the important factors affecting battery performance and life. If the battery temperature is too high or too low during the charging and discharging process, it may cause abnormal chemical reactions inside the battery, thereby affecting the battery performance and life. By monitoring the average maximum temperature difference of single cells during the charging and discharging process, the temperature abnormality of the battery pack can be discovered in time, and the health of the battery can be evaluated more accurately, so as to timely recycle and replace the automotive power battery pack and improve the safety and quality of battery application.

[0022] Furthermore, when installed, the vehicle power battery pack is bound with the basic information of the new energy vehicle and the information of the new energy vehicle owner or the information of the new energy vehicle ownership unit to generate the ownership information of the vehicle power battery pack. The basic information of the new energy vehicle includes the new energy vehicle brand, model, production batch, production date and production number. The new energy vehicle owner information includes the owner's name, ID number and contact information. The new energy vehicle ownership unit information includes the name of the ownership unit, the address of the ownership unit and the contact information of the ownership unit.

[0023] It should be specifically noted in this embodiment that the contact information may be a mobile phone number or an email address.

[0024] Furthermore, the charging start time, charging end time, charging start remaining power, charging end remaining power, charging voltage, charging current, open circuit voltage, single cell voltage and single cell temperature of the vehicle power battery pack during parking charging and the discharge start time, discharge end time, discharge voltage, discharge current, single cell voltage and single cell temperature of the vehicle power battery pack during driving discharge are the application information of the vehicle power battery pack.

[0025] In this embodiment, it should be specifically explained that the charging start time, charging end time, discharging start time and discharging end time can be displayed in the format of year.month.day.hour:minute:second, such as 2012.07.25.19:00:25, the charging voltage and charging current are the voltage and current input into the vehicle power battery pack, the discharging voltage and discharging current are the voltage and current output from the vehicle power battery pack, the single cell voltage and single cell temperature are the voltage and operating temperature of the single cell at each moment during parking charging and driving discharging, and the open circuit voltage refers to the battery pack terminal voltage when there is no current after parking charging is completed.

[0026] The battery application monitoring module monitors the application information of the vehicle power battery pack during the parking charging process and the driving discharging process of the new energy vehicle in real time and directly uploads the monitoring results to the battery database;

[0027] Furthermore, the application information of the parking charging process monitored by the battery application monitoring module includes the charging start time, charging end time, the remaining power at the start of charging, the remaining power at the end of charging, the charging voltage, the charging current, the open circuit voltage, the single cell voltage and the single cell temperature; the application information of the driving discharging process monitored by the battery application monitoring module includes the discharge start time, the discharge end time, the discharge voltage, the discharge current, the single cell voltage and the single cell temperature.

[0028] What needs to be specifically explained in this embodiment is that the Hall current sensor can be arranged in the charging circuit and the discharging circuit of the vehicle power battery pack to monitor the charging current and the discharging current of the vehicle power battery, the voltage sensor can be arranged in the charging circuit and the discharging circuit of the vehicle power battery pack to monitor the charging voltage and the discharging voltage of the vehicle power battery, the temperature sensor can be arranged inside the vehicle power battery pack to monitor the temperature of the single cell, and the single cell voltage and the real-time remaining power of the charging and discharging process can be directly collected through the BMS of the new energy vehicle.

[0029] The battery application data processing module processes the monitored battery application data to calculate the real-time battery capacity, battery internal resistance, open circuit voltage, average charging time for charging 20% ​​of the power, average maximum voltage difference of single cells, and average maximum voltage difference of single cells;

[0030] Furthermore, the real-time battery capacity C s The calculation formula is: where t ec ,t sc The charging end time and charging start time of the latest charging are respectively a , SOC ec , SOC sc The following are the charging current of the latest charge, the remaining power at the end of charging, the remaining power at the beginning of charging, T e , K C (T e ) are the average operating temperature of the single battery after the latest charge, the average operating temperature of the single battery is T e Capacity correction factor;

[0031] It should be specifically noted in this embodiment that the average operating temperature of the single cell of the latest charge is actually the average value of the highest temperature of the single cell and the lowest temperature of the single cell during the charging process, and the specific calculation formula is: Tmax and Tmin are the highest and lowest temperatures of the single cell in the latest charging process respectively; the capacity correction coefficient of the battery temperature can be determined based on the actual sample law: calculate the capacity of several groups of automotive power batteries with similar mileage and similar charging times but different average operating temperatures of the single cells, denoted as C T , the average capacity C of the vehicle power battery with the same mileage, charging times and average working temperature of the single cell at 25°C e Recorded as the reference value of battery capacity correction, the capacity correction coefficient K when the average operating temperature of the single battery is T C The specific calculation formula of (T) is: Statistical samples can obtain several scattered points with temperature as the horizontal axis and capacity ratio as the vertical axis, and then obtain the curve of the capacity ratio changing with temperature at different temperatures. Combined with the scattered point trend, the exponential fitting method is used to obtain the exponential relationship equation between the battery temperature correction coefficient and temperature. Substituting it into the average operating temperature of the single cell, the capacity correction coefficient can be directly calculated.

[0032] Furthermore, the specific calculation formula of the real-time battery internal resistance Rs is: Among them U bi ,I bi , U cj ,I cj The real-time open-circuit voltage is the open-circuit voltage when the latest charge is completed, which is recorded as U a ;

[0033] Furthermore, the average charging time t of charging 20% ​​of the power in real time is c The specific calculation formula is: where t i The charging time for the latest charging process to charge the i-th 20% of the power, n a is the amount of 20% of electricity charged, 1≤n a ≤5. If the latest charging process has a charge amount less than 20%, then the charging time used to charge 20% of the last charging process will be retrieved. If the charge amount cannot be divided by 20%, then only the charging time used to charge the first 20% of the charge, the charging time used to charge the first 20% of the charge, and so on will be retrieved in the order of charging time. a Charging time for 20% of the battery;

[0034] Furthermore, the real-time average maximum voltage difference U e The specific calculation formula is: where n b is the number of time points in the latest charging and discharging process, maxU i 、minU i They are the most recent charging process, the maximum voltage of the single cell at the i-th moment in the discharging process, and the minimum voltage of the single cell;

[0035] Furthermore, the real-time average maximum temperature difference of the single battery T r The specific calculation formula is: where n b is the number of time points in the latest charging and discharging process, maxT i 、minT iThey are respectively the maximum temperature of the single cell at the i-th moment in the latest charging process and the minimum temperature of the single cell in the discharging process.

[0036] The battery comprehensive health evaluation module uses the entropy weight method to calculate the weight coefficients of various indicators of the battery comprehensive health evaluation, and uses various indicator parameters in the basic information of the vehicle power battery pack as a standard to evaluate the battery comprehensive health index in real time;

[0037] Furthermore, the battery comprehensive health evaluation module includes an index standard retrieval unit, an index weight calculation unit, a real-time index data receiving unit, a battery comprehensive health index calculation unit and a data output unit. The index standard retrieval unit retrieves the battery nominal capacity C at the nominal temperature from the battery database. r and the battery nominal internal resistance R c , battery open circuit voltage U r , average charging time to 20% charge r And the average maximum voltage difference U of the first charge and discharge single battery s The average maximum temperature difference between the single battery and s The indicator weight calculation unit calculates the weight coefficients of battery capacity, internal resistance, open circuit voltage, average charging time of 20% charge, average maximum voltage difference of single cells and average maximum temperature difference of single cells based on the entropy weight method, which are represented by θ1, θ2, θ3, θ4, θ5 and θ6 respectively; the real-time indicator data receiving unit is used to receive the real-time battery capacity C s , Real-time battery internal resistance R s , Real-time open circuit voltage U a , Real-time charging of 20% of the average charging time t c , Real-time single battery average maximum voltage difference U e And the real-time average maximum temperature difference of the single battery T r ; The battery comprehensive health index calculation unit is used to calculate the battery comprehensive health index SOH. The specific formula is:

[0038] The data output unit sends the calculated battery comprehensive health index SOH to the battery application early warning determination module.

[0039] What needs to be specifically explained in this embodiment is that with the use of automotive power batteries, the open circuit voltage after charging is reduced, the battery capacity is reduced, the time required for the charging percentage to increase by 20% is reduced, and the battery internal resistance increases. As the inconsistency between individual batteries increases during the aging process of the battery pack, the difference in battery aging degree between different battery cells will significantly affect the overall health of the battery pack, the average maximum voltage difference of the battery cells increases, and the average maximum temperature difference of the battery cells increases. Therefore, the open circuit voltage, battery capacity and the time required for the charging percentage to increase by 20% are used as positive indicators, and the battery internal resistance, the average maximum voltage difference of the single cells and the average maximum temperature difference of the single cells are used as negative indicators. The weights of each indicator can be calculated based on the entropy weight method.

[0040] Specifically, in this embodiment, the specific steps for calculating the weight coefficients of battery capacity, internal resistance, open circuit voltage, average charging time for charging 20% ​​of the battery, average maximum voltage difference of single cells, and average maximum temperature difference of single cells based on the entropy weight method are as follows:

[0041] A1. Standardizing the positive indicators, we have:

[0042] yij is the standardized processing result of the jth parameter of the ith positive indicator, xij is the jth parameter of the ith positive indicator, min{x i1 ,x i2 ,......,x in} is the minimum value of the i-th positive indicator, max{x i1 ,x i2 ,......,x in} is the maximum value of the ith positive indicator, and n is the number of the ith positive indicators;

[0043] A2. Standardizing negative indicators:

[0044] yij is the standardized processing result of the jth parameter of the ith negative indicator, xij is the jth parameter of the ith negative indicator, min{x i1 ,x i2 ,......,x in} is the minimum value of the i-th negative indicator, max{x i1 ,x i2 ,......,x in} is the maximum value of the i-th negative indicator, and n is the number of the i-th negative indicators;

[0045] A3. Calculate the weight pij of the jth data of the i-th indicator after standardization. The specific formula is:

[0046]

[0047] A4. Calculate the entropy value Ei of the i-th indicator. The specific formula is:

[0048] A5. Calculate the weight θi of the i-th indicator. The specific formula is:

[0049] Battery recycling determination module: compares the calculated battery comprehensive health index SOH with the set battery recycling comprehensive health critical value to determine whether the battery meets the recycling standards, and generates instruction information based on the determination result;

[0050] Furthermore, the battery recycling determination module compares the calculated battery comprehensive health index SOH with a set battery recycling comprehensive health critical value. When the calculated value is greater than the set critical value, it is determined that the battery does not need to be recycled, and no instruction is issued at this time. When the calculated value is less than or equal to the set critical value, it is determined that the battery needs to be recycled. At this time, a battery recycling warning message is sent to the owner of the new energy vehicle that installed the vehicle power battery.

[0051] The battery recycling reservation form creation module is used for the new energy vehicle owner who installs the vehicle power battery to create a vehicle power battery recycling reservation form, and the recycling reservation form includes the ID number, contact information, expected door-to-door recycling time, whether a new battery is needed, the vehicle power battery pack model and production number;

[0052] The battery positioning and recycling module generates a battery recycling task list based on the battery recycling appointment list and automatically allocates battery recycling tasks, and performs battery recycling work based on the battery recycling task list.

[0053] What needs to be specifically explained in this embodiment is that the battery positioning and recycling module includes a battery information retrieval unit, a battery positioning unit, a battery recycling task order generation unit, a battery recycling task order allocation unit, a recycling target confirmation unit and a battery recycling monitoring unit. After receiving the battery recycling appointment form, the battery information retrieval unit retrieves the basic information and location information of the vehicle power battery pack from the battery database based on the battery recycling appointment form information; the battery positioning unit matches the real-world geographical location coordinates of the vehicle power battery with the electronic map to determine the battery recycling address; the battery recycling task order generation unit generates a battery recycling task order based on the battery positioning information, the battery recycling appointment form information and the battery basic information, and the battery recycling task order includes the battery recycling address and the battery recycling process; the battery recycling task order allocation unit allocates the battery recycling task order to the service point closest to the battery recycling address; the recycling target confirmation unit is used to confirm whether the battery identity is correct by scanning the battery's RFID tag after the recycling personnel arrives at the battery recycling address, and execute the subsequent recycling process if the recycling target is confirmed to be correct; the battery recycling monitoring unit is used to monitor whether the battery recycling process is consistent with the battery recycling process generated by the battery recycling task order.

[0054] like Figure 2 The present embodiment provides a vehicle power battery tracking and recycling method based on the Internet of Things, comprising the following steps:

[0055] S1: Real-time monitoring of the application information of the vehicle power battery pack during the parking charging process and the driving discharge process of the new energy vehicle, and directly uploading the monitoring results to the battery database;

[0056] S2: Process the monitored battery application data to calculate the real-time battery capacity, battery internal resistance, open circuit voltage, average charging time for charging 20% ​​of the power, average maximum voltage difference of single cells, and average maximum voltage difference of single cells;

[0057] S3: Use the entropy weight method to calculate the weight coefficients of various indicators for comprehensive battery health assessment, and use the various indicator parameters in the basic information of the vehicle power battery pack as the standard to evaluate the comprehensive battery health index in real time;

[0058] S4: Compare the calculated battery comprehensive health index SOH with the set battery recycling comprehensive health critical value. When the calculated value is greater than the set critical value, it is determined that the battery does not need to be recycled, and no instruction is issued at this time. When the calculated value is less than or equal to the set critical value, it is determined that the battery needs to be recycled. At this time, a battery waiting to be recycled warning message is sent to the owner of the new energy vehicle that installed the vehicle power battery;

[0059] S5: The owner of the new energy vehicle with the vehicle power battery installed creates a vehicle power battery recycling reservation form after receiving the battery recycling warning message;

[0060] S6: Generate a battery recycling task list based on the battery recycling appointment list and automatically assign the battery recycling task, and perform battery recycling work based on the battery recycling task list.

[0061] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. 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. The vehicle power battery tracking and recycling system based on the Internet of Things is characterized by: include: Battery database construction module: constructs a battery database for the produced automotive power battery packs, which stores basic information, location information, ownership information and application information of the automotive power battery packs; Battery application monitoring module: real-time monitoring of the application information of the vehicle power battery pack during the parking charging process and the driving discharge process of new energy vehicles, and directly uploading the monitoring results to the battery database; Battery application data processing module: processes the monitored battery application data to calculate the real-time battery capacity, battery internal resistance, open circuit voltage, average charging time for charging 20% ​​of the power, average maximum voltage difference of single cells, and average maximum voltage difference of single cells; Battery comprehensive health evaluation module: The entropy weight method is used to calculate the weight coefficients of various indicators for battery comprehensive health evaluation, and the various indicator parameters in the basic information of the vehicle power battery pack are used as standards to evaluate the battery comprehensive health index in real time; Battery recycling determination module: compares the calculated battery comprehensive health index SOH with the set battery recycling comprehensive health critical value to determine whether the battery meets the recycling standards, and generates instruction information based on the determination result; Battery recycling appointment form creation module: used for the new energy vehicle owner who installs the vehicle power battery to create a vehicle power battery recycling appointment form, which includes the ID number, contact information, expected door-to-door recycling time, whether the battery needs to be replaced, the vehicle power battery pack model and production number; Battery location and recycling module: Generates a battery recycling task list based on the battery recycling appointment list and automatically assigns battery recycling tasks, and performs battery recycling work based on the battery recycling task list.

2. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The basic information of the vehicle power battery pack stored in the battery database constructed by the battery database construction module includes the composition material, model, production batch, production time, production number, battery nominal capacity and battery nominal internal resistance at nominal temperature, battery open circuit voltage, average charging time for charging 20% ​​of the power, and average maximum voltage difference and average maximum temperature difference of single cells during the first charge and discharge of the single cells; The location information is the real-time real-world geographic location coordinates of the automotive power battery; the ownership information is the brand, model, production batch, production date and production number of the new energy vehicle that uses the automotive power battery and the new energy vehicle owner information or new energy vehicle ownership unit information; the application information is the parking charging data and driving discharge data of the automotive power battery pack.

3. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The application information of the parking charging process monitored by the battery application monitoring module includes the charging start time, charging end time, the remaining power at the start of charging, the remaining power at the end of charging, the charging voltage, the charging current, the open circuit voltage, the single cell voltage and the single cell temperature; the application information of the driving discharging process monitored by the battery application monitoring module includes the discharge start time, discharge end time, discharge voltage, discharge current, single cell voltage and single cell temperature.

4. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The real-time battery capacity C in the battery application data processing module s The calculation formula is: where t ec ,t sc The charging end time and charging start time of the latest charging are respectively a , SOC ec , SOC sc The following are the charging current of the latest charge, the remaining power at the end of charging, the remaining power at the beginning of charging, T e , K C (T e ) are the average operating temperature of the single battery after the latest charge, the average operating temperature of the single battery is T e Capacity correction factor.

5. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The specific calculation formula of the real-time battery internal resistance Rs in the battery application data processing module is: Among them U bi ,I bi , U cj ,I cj The real-time open-circuit voltage is the open-circuit voltage when the latest charge is completed, which is recorded as U a .

6. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The average charging time t of charging 20% ​​of the battery in real time in the battery application data processing module c The specific calculation formula is: where t i The charging time for the latest charging process to charge the i-th 20% of the power, n a is the amount of 20% of electricity charged, 1≤n a ≤5. If the latest charging process has a charge amount less than 20%, then the charging time used to charge 20% of the last charging process will be retrieved. If the charge amount cannot be divided by 20%, then only the charging time used to charge the first 20% of the charge, the charging time used to charge the first 20% of the charge, and so on will be retrieved in the order of charging time. a The charging time for 20% of the battery.

7. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The real-time average maximum voltage difference U of the single battery in the battery application data processing module e The specific calculation formula is: where n b is the number of time points in the latest charging and discharging process, maxU i 、minU i They are the maximum voltage of the single cell at the i-th moment in the latest charging process and the minimum voltage of the single cell in the discharging process; the average maximum temperature difference T of the real-time single cell r The specific calculation formula is: where n b is the number of time points in the latest charging and discharging process, maxT i 、minT i They are respectively the maximum temperature of the single cell at the i-th moment in the latest charging process and the minimum temperature of the single cell in the discharging process.

8. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The battery comprehensive health evaluation module includes an index standard retrieval unit, an index weight calculation unit, a real-time index data receiving unit, a battery comprehensive health index calculation unit and a data output unit. The index standard retrieval unit retrieves the battery nominal capacity C at the nominal temperature from the battery database. r and the battery nominal internal resistance R c , battery open circuit voltage U r , average charging time to 20% charge r And the average maximum voltage difference U of the first charge and discharge single battery s The average maximum temperature difference between the single battery and s The indicator weight calculation unit calculates the weight coefficients of battery capacity, internal resistance, open circuit voltage, average charging time of 20% charge, average maximum voltage difference of single cells and average maximum temperature difference of single cells based on the entropy weight method, which are represented by θ1, θ2, θ3, θ4, θ5 and θ6 respectively; the real-time indicator data receiving unit is used to receive the real-time battery capacity C s , Real-time battery internal resistance R s , Real-time open circuit voltage U a , Real-time charging of 20% of the average charging time t c , Real-time single battery average maximum voltage difference U e And the real-time average maximum temperature difference of the single battery T r ; The battery comprehensive health index calculation unit is used to calculate the battery comprehensive health index SOH. The specific formula is: The data output unit sends the calculated battery comprehensive health index SOH to the battery application early warning determination module.

9. The vehicle power battery tracking and recycling system based on the Internet of Things according to claim 1 is characterized in that: The battery recycling determination module compares the calculated battery comprehensive health index SOH with the set battery recycling comprehensive health critical value. When the calculated value is greater than the set critical value, it is determined that the battery does not need to be recycled, and no instruction is issued at this time. When the calculated value is less than or equal to the set critical value, it is determined that the battery needs to be recycled. At this time, a battery recycling warning message is sent to the owner of the new energy vehicle that installed the vehicle power battery.

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