Electrochemical energy storage charge and discharge capacity prediction system and method

Abstract

The invention discloses an electrochemical energy storage charge and discharge capacity prediction system and method, and relates to the field of electrochemical energy storage, and the system comprises a battery pack module, an energy storage converter module, a battery management system module, an energy management system module, a battery pack state detection module, and a data collection calculation prediction module. The data collection module is used for collecting time data, voltage data, temperature data, current multiplying power and battery internal resistance data and then summarizing and calculating the collected data. The battery pack state detection module is used for detecting the temperature, the voltage, the time, the electric multiplying power and the internal resistance of the battery pack module, then the data collection, calculation and prediction module is used for carrying out integrated analysis on the data, then budgeting is carried out, and therefore the corresponding charging and discharging amount can be predicted more accurately.

Description

Technical Field

[0001] The present application relates to the field of electrochemical energy storage, and in particular to a system and method for predicting the charge and discharge capacity of electrochemical energy storage. Background Art

[0002] Electrochemical energy storage is a technology that converts and stores electrical energy through electrochemical reactions. It is an important means of achieving energy conversion and storage. Electrochemical energy storage technologies mainly include lithium-ion batteries, flow batteries, lead-acid batteries, and sodium-ion batteries.

[0003] The charge and discharge capacity of a battery usually refers to the amount of electricity that the battery can store and release in a single charge and discharge cycle. This indicator is crucial for evaluating the performance and life of the battery. Different types of batteries have different energy densities and chemical properties, which directly affect their charge and discharge capacities.

[0004] In order to better use the battery, the battery charge and discharge capacity is predicted based on the battery material and characteristics. The characteristics generally refer to more intuitive data such as the battery voltage when working and the usage time and number of times to predict the battery charge and discharge capacity. The predicted battery charge and discharge capacity may have large deviations. Summary of the invention

[0005] The purpose of the present application is to solve the problem that in order to better use the battery, the charge and discharge capacity of the battery is predicted based on the material and characteristics of the battery in the above-mentioned background technology. The characteristics generally refer to the voltage when the battery is working and the usage time and number of times, which are more intuitive data to predict the charge and discharge capacity of the battery. The predicted charge and discharge capacity of the battery may have a large deviation. The present application provides a system and method for predicting the charge and discharge capacity of an electrochemical energy storage.

[0006] In order to achieve the above-mentioned purpose, this application specifically adopts the following technical solutions:

[0007] An electrochemical energy storage charge and discharge capacity prediction system, comprising:

[0008] A battery module for storing and discharging electric current;

[0009] Energy storage converter module, used to control the charging and discharging process of the battery;

[0010] A battery management system module, used to collect status information of the battery pack module and send control information to the battery pack module;

[0011] Energy management system module, used to send control information to the battery management system and collect data from the battery management system;

[0012] A battery pack status detection module is used to detect various states of the battery pack itself when the battery pack module is charging and discharging;

[0013] The data collection, calculation and prediction module is used to collect time data, voltage data, temperature data, current rate and battery internal resistance data, and then summarize and calculate the collected data.

[0014] By adopting the above technical method, the battery pack status detection module is used to detect the temperature, voltage, time, electrical rate and internal resistance of the battery pack module, and then the data collection calculation prediction module is used to integrate and analyze these data, and then a budget is made, so that the corresponding charge and discharge amount can be predicted more accurately.

[0015] Furthermore, the battery pack status detection module includes a temperature detection module, and the temperature detection module is used to detect the operating temperature of the battery pack module during charging and discharging.

[0016] Furthermore, the battery pack status detection module includes a voltage detection module, and the voltage detection module is used to detect the charging and discharging working voltage of the battery pack module.

[0017] Furthermore, the battery pack status detection module includes a time detection module, and the time detection module is used to detect the charging and discharging working time of the battery pack module.

[0018] Furthermore, the battery pack status detection module includes a discharge rate and internal resistance detection module, which is used to detect the internal resistance of the battery pack module during charging and discharging, and the discharge rate and internal resistance detection module is used to detect the current intensity required for the battery pack module to discharge its rated capacity within a specified time.

[0019] Furthermore, the data collection, calculation and prediction module includes a data collection module, a data integration module, a data conversion module and a data calculation module.

[0020] Furthermore, the data collection, calculation and prediction module includes a data prediction module and a data display module. The data prediction module uses data to perform prediction calculations, and the data display module is used to display the prediction data on a display for intuitive presentation.

[0021] A system and method for predicting the charge and discharge amount of electrochemical energy storage, the method comprising:

[0022] S1: First, the energy storage converter module, the energy management system module, the battery management system module, and the battery pack module are connected together to form a complete charging and discharging process;

[0023] S2: Then the temperature detection module is connected to the battery pack module, and the temperature detection module is used to monitor the real-time temperature of the battery pack module during charging and discharging;

[0024] S3: At the same time, the voltage detection module is connected to the battery pack module, and the voltage detection module is used to monitor the real-time voltage of the battery pack module during charging and discharging;

[0025] S4: Connect the time detection module to the battery module at the same time, and use the time detection module to monitor the charging and discharging time of the battery module;

[0026] S5: The electric rate and internal resistance detection module is connected to the battery pack module at the same time, and the electric rate and internal resistance of the battery pack module are detected by the electric rate and internal resistance detection module;

[0027] S6: Then use the data collection module to collect reports on the monitored data, then use the data integration module to integrate the collected data, and then use the data conversion module to transmit the data to the data calculation module;

[0028] S7: The calculated data is then transmitted to a data prediction module, and the data prediction module uses the comparison data to predict the amount of electricity required for upper charging and discharging.

[0029] In summary, the present application includes at least one of the following beneficial effects:

[0030] 1. In the present application, a complete charging and discharging process is formed by first connecting the energy storage inverter module, the energy management system module, the battery management system module, and the battery pack module together, and the temperature sensor in the stability detection module is used to detect the temperature of the battery pack module, the voltage sensor in the voltage detection module is used to record the real-time voltage of the battery pack module, the time meter in the time detection module is used to record the time of each charging and discharging in the battery pack module, and the electric rate sensor and the internal resistance detector are used to monitor the electric rate and internal resistance of the charging and discharging in the battery pack module in real time, and then the data collection module is used to collect the monitored data, and then the data integration module is used to integrate the collected data, and then the data conversion module is used to transmit the data to the data calculation module, so that multiple groups of data in the battery pack module can be integrated, analyzed and recorded, and the integrated data is input into the data prediction module. The data prediction module uses multi-source data to cooperate for analysis, so as to achieve the purpose of being able to more accurately predict the charge and discharge amount of the battery pack module. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a flow chart of the electrochemical energy storage charge and discharge capacity prediction system in this application.

[0032] Description of reference numerals:

[0033] 1. Battery pack module; 2. Battery management system module; 3. Energy storage inverter module; 4. Energy management system module; 5. Battery pack status detection module; 6. Data collection, calculation and prediction module; 7. Temperature detection module; 8. Voltage detection module; 9. Time detection module; 10. Electric rate and internal resistance detection module; 11. Data collection module; 12. Data integration module; 13. Data conversion module; 14. Data calculation module; 15. Data prediction module. DETAILED DESCRIPTION

[0034] The following is combined with Figure 1 This application is described in further detail.

[0035] The embodiments of the present application disclose a system and method for predicting the charge and discharge capacity of electrochemical energy storage.

[0036] Reference Figure 1 , a system and method for predicting the charge and discharge amount of electrochemical energy storage, the electrochemical energy storage discharge prediction system comprising:

[0037] A battery module 1, used for storing and discharging electric current;

[0038] Energy storage converter module 3, used to control the charging and discharging process of the battery;

[0039] The battery management system module 2 is used to collect status information of the battery pack module 1 and send control information to the battery pack module 1;

[0040] Energy management system module 4, used to send control information to the battery management system and collect data from the battery management system;

[0041] The battery pack status detection module 5 is used to detect various states of the battery pack itself when the battery pack module 1 is charging and discharging;

[0042] The data collection, calculation and prediction module 6 is used to collect time data, voltage data, temperature data, current rate and battery internal resistance data, and then summarize and calculate the collected data.

[0043] First, the energy storage inverter module 3, the energy management system module 4, the battery management system module 2, and the battery pack module 1 are connected together to form a complete charging and discharging process, and then the battery pack state detection module 5 is used to detect the temperature, voltage, time, electric rate and internal resistance of the battery pack module 1. Then, the data collection, calculation and prediction module 6 is used to integrate and analyze these data, and then a budget is made. By using this system to detect the battery pack module 1 of electrochemical energy storage, the corresponding charge and discharge amount can be predicted more accurately.

[0044] In some embodiments, the battery pack state detection module 5 includes a temperature detection module 7 , and the temperature detection module 7 is used to detect the operating temperature of the battery pack module 1 during charging and discharging.

[0045] The temperature of the battery module 1 is detected by the temperature sensor in the stability detection module, so that the influence of the temperature on the charge and discharge capacity can be easily known.

[0046] In some embodiments, the battery pack status detection module 5 includes a voltage detection module 8 , and the voltage detection module 8 is used to detect the charging and discharging working voltage of the battery pack module 1 .

[0047] The voltage sensor in the voltage detection module 8 is used to record the real-time voltage of the battery module 1 during operation, so that the influence of the voltage in the battery module 1 on the charge and discharge capacity can be easily known.

[0048] In some embodiments, the battery pack status detection module 5 includes a time detection module 9 , and the time detection module 9 is used to detect the charging and discharging working time of the battery pack module 1 .

[0049] The time meter in the time detection module 9 is used to record the time of each charge and discharge in the battery module 1, so that the relationship between the charge and discharge amount and time in the battery module 1 can be easily known.

[0050] In some embodiments, the battery pack status detection module 5 includes a discharge rate and internal resistance detection module 10, which is used to detect the internal resistance of the battery pack module 1 during charging and discharging. The discharge rate and internal resistance detection module 10 is used to detect the current intensity required for the battery pack module 1 to discharge its rated capacity within a specified time.

[0051] The electric rate sensor and the internal resistance detector are used to monitor the electric rate and internal resistance of the battery module 1 during charging and discharging in real time, so that the influence of the electric rate and internal resistance on the charging and discharging amount in the battery module 1 can be easily known.

[0052] In some embodiments, the data collection, calculation and prediction module 6 includes a data collection module 11 , a data integration module 12 , a data conversion module 13 , and a data calculation module 14 .

[0053] The data collected by the monitoring module 11 are collected, and then the collected data are integrated by the data integration module 12. Then, the data conversion module 13 transmits the data to the data calculation module 14, so that the multiple groups of data in the battery pack module 1 can be integrated, analyzed and recorded.

[0054] In one embodiment, the data collection calculation prediction module 6 includes a data prediction module 15 and a data display module. The data prediction module 15 uses data to perform prediction calculations, and the data display module is used to display the prediction data on a display for intuitive presentation.

[0055] The integrated data is input into the data prediction module 15 , and the data prediction module 15 uses multi-source data for analysis, and can more accurately predict the charge and discharge capacity of the battery module 1 .

[0056] A system and method for predicting the charge and discharge amount of an electrochemical energy storage, the method being applicable to any electrochemical energy storage charge and discharge amount prediction system, the method comprising:

[0057] S1: First, the energy storage converter module 3, the energy management system module 4, the battery management system module 2, and the battery pack module 1 are connected together to form a complete charging and discharging process;

[0058] S2: Then connect the temperature detection module 7 to the battery module 1, and use the temperature detection module 7 to monitor the real-time temperature of the battery module 1 during charging and discharging;

[0059] S3: At the same time, the voltage detection module 8 is connected to the battery module 1, and the voltage detection module 8 is used to monitor the real-time voltage of the battery module 1 during charging and discharging;

[0060] S4: At the same time, the time detection module 9 is connected to the battery module 1, and the time detection module 9 is used to monitor the charging and discharging time of the battery module 1;

[0061] S5: The electric rate and internal resistance detection module 10 is connected to the battery module 1 at the same time, and the electric rate and internal resistance of the battery module 1 during charging and discharging are detected by the electric rate and internal resistance detection module 10;

[0062] S6: Then the data collection module 11 is used to continue to report and collect the monitored data, and then the data integration module 12 is used to integrate the collected data, and then the data conversion module 13 is used to transmit the data to the data calculation module 14;

[0063] S7: The calculated data is then transmitted to the data prediction module 15, and the data prediction module 15 uses the comparison data to predict the amount of electricity required for upper charging and discharging.

Claims

1. An electrochemical energy storage charge and discharge capacity prediction system, characterized in that: The electrochemical energy storage discharge prediction system comprises: A battery module (1) for storing and discharging electric current; An energy storage converter module (3) is used to control the charging and discharging process of the battery; A battery management system module (2), used for collecting status information of the battery pack module (1) and sending control information to the battery pack module (1); An energy management system module (4), used for sending control information to a battery management system and collecting data from the battery management system; A battery pack state detection module (5) is used to detect various states of the battery pack itself when the battery pack module (1) is charging and discharging; The data collection, calculation and prediction module (6) is used to collect time data, voltage data, temperature data, current rate and battery internal resistance data, and then summarize and calculate the collected data.

2. The electrochemical energy storage charge and discharge capacity prediction system according to claim 1, characterized in that: The battery pack state detection module (5) comprises a temperature detection module (7), and the temperature detection module (7) is used to detect the operating temperature of the battery pack module (1) during charging and discharging.

3. The electrochemical energy storage charge and discharge capacity prediction system according to claim 2, characterized in that: The battery pack state detection module (5) comprises a voltage detection module (8), and the voltage detection module (8) is used to detect the charging and discharging operating voltage of the battery pack module (1).

4. The electrochemical energy storage charge and discharge capacity prediction system according to claim 3, characterized in that: The battery pack state detection module (5) comprises a time detection module (9), and the time detection module (9) is used to detect the charging and discharging working time of the battery pack module (1).

5. The electrochemical energy storage charge and discharge capacity prediction system according to claim 4, characterized in that: The battery pack state detection module (5) comprises a discharge rate and internal resistance detection module (10), wherein the discharge rate and internal resistance detection module (10) is used to detect the internal resistance of the battery pack module (1) during charging and discharging operations, and the discharge rate and internal resistance detection module (10) is used to detect the current intensity required for the battery pack module (1) to discharge its rated capacity within a specified time.

6. The electrochemical energy storage charge and discharge capacity prediction system according to claim 5, characterized in that: The data collection, calculation and prediction module (6) comprises a data collection module (11), a data integration module (12), a data conversion module (13) and a data calculation module (14).

7. The electrochemical energy storage charge and discharge capacity prediction system according to claim 6, characterized in that: The data collection calculation prediction module (6) comprises a data prediction module (15) and a data display module. The data prediction module (15) uses data to perform prediction calculations, and the data display module is used to display the prediction data on a display for intuitive presentation.

8. A system and method for predicting the charge and discharge capacity of electrochemical energy storage, characterized in that: The method is applicable to any one of the electrochemical energy storage charge and discharge capacity prediction systems in claims 1-7 above, and the method is: S1: firstly, the energy storage converter module (3), the energy management system module (4), the battery management system module (2), and the battery pack module (1) are connected together to form a complete charging and discharging process; S2: Then the temperature detection module (7) is connected to the battery module (1), and the temperature detection module (7) is used to monitor the real-time temperature of the battery module (1) during charging and discharging; S3: connecting the voltage detection module (8) to the battery module (1) at the same time, and using the voltage detection module (8) to monitor the real-time voltage of the battery module (1) during charging and discharging; S4: connecting the time detection module (9) to the battery module (1) at the same time, and using the time detection module (9) to monitor the charging and discharging time of the battery module (1); S5: simultaneously connecting the electric rate and internal resistance detection module (10) to the battery module (1), and detecting the electric rate and internal resistance of the battery module (1) during charging and discharging using the electric rate and internal resistance detection module (10); S6: Then, the data collected by the monitoring module (11) is collected, and then, the collected data is integrated by the data integration module (12), and then, the data conversion module (13) is used to transmit the data to the data calculation module (14); S7: The calculated data is then transmitted to the data prediction module (15), and the data prediction module (15) uses the comparison data to predict the amount of electricity required for upper charging and discharging.

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