A distributed monitoring configuration method and system for energy storage system

Abstract

A distributed monitoring configuration method and system for an energy storage system, comprising: deploying a monitoring device in each independent battery unit of the energy storage system; collecting and monitoring the state parameters of each independent battery unit of the energy storage system in real time through the monitoring device, and obtaining the performance parameters of each independent battery unit through a battery power management chip; regulating the system circulation according to the state parameters and performance parameters, using a combined model method to perform parameterized calculations of the energy storage configuration strategy algorithm, and generating a local configuration strategy with the independent battery unit as the minimized configuration unit. The present invention performs real-time configuration optimization on the energy storage system to improve the performance and reliability of the system.

Description

Technical Field

[0001] The present invention relates to the field of battery energy storage systems, and in particular to a distributed monitoring configuration method and system for energy storage systems. Background Art

[0002] At present, battery energy storage system converts electrical energy into chemical energy through batteries and then converts chemical energy into electrical energy when external power supply is needed. It has attracted much attention due to its fast charging and discharging speed, high energy conversion efficiency and low requirements on geographical conditions.

[0003] The battery energy storage system is a technology that covers all aspects of power generation, transmission, distribution and consumption. Through effective demand-side management measures, it can achieve stable load regulation and reduce costs and increase efficiency in the operation of power equipment. However, the traditional monitoring accuracy is low and the configuration is inflexible; and the traditional charging and discharging method leads to slow battery charging and discharging speed, damage to the energy storage life, health loss and high energy consumption, which need to be optimized and improved. Summary of the invention

[0004] The main purpose of the present invention is to overcome the above-mentioned defects in the prior art and to provide a distributed monitoring configuration method and system for an energy storage system to improve the monitoring accuracy and configuration flexibility of the energy storage system.

[0005] The present invention adopts the following technical solution:

[0006] A distributed monitoring configuration method for an energy storage system, characterized in that:

[0007] Deploy monitoring devices on each individual battery unit of the energy storage system;

[0008] The state parameters of each independent battery cell of the energy storage system are collected and monitored in real time by a monitoring device, and the performance parameters of each independent battery cell are obtained by a battery power management chip;

[0009] The system circulation is regulated according to the state parameters and the performance parameters, a combined model method is used to perform parameterized calculation of the energy storage configuration strategy algorithm, and a local configuration strategy is generated using the independent battery unit as the minimized configuration unit.

[0010] The energy storage configuration strategy algorithm uses system circulation and balanced control configuration as real-time configuration parameter targets and health status as periodic balanced parameters. The expression of the generated local configuration strategy is:

[0011] S i =Ni×{A×SOP i +B×SOT i +C×SOR i}×100%

[0012] Among them, S i is the control parameter of battery pack i; Ni is the efficiency coefficient of battery pack i; SOP i is the capacity parameter of battery pack i; A is the capacity parameter correction coefficient; SOT i is the temperature parameter of battery pack i; B is the temperature parameter correction coefficient; SOR i is the internal resistance parameter of battery pack i; C is the internal resistance parameter correction coefficient.

[0013] The battery pack capacity parameter SOP i The calculation formula is as follows:

[0014]

[0015] Where Q i Q is the current available capacity of the battery; r is the rated capacity of the battery.

[0016] The temperature parameter SOT of the battery pack i i The calculation formula is as follows:

[0017]

[0018] Among them, T i is the core area temperature of the independent battery cell, is the activation energy coefficient of battery pack i, R i is the current internal resistance of battery pack i.

[0019] The internal resistance parameter SOR of the battery pack i i The calculation formula is as follows:

[0020]

[0021] Where R0 is the initial internal resistance of the battery pack, R i is the current internal resistance of battery pack i.

[0022] The method also includes distributing the generated local configuration strategy to the corresponding independent battery units of the energy storage system to perform real-time configuration optimization.

[0023] While using the capacity parameter SOP to regulate the system circulation, the charge status of each independent battery unit is monitored and the regulation parameter is set to the maximum value. The temperature parameter SOT and the internal resistance parameter SOR are important constraints and boundary judgment conditions during dynamic adjustment.

[0024] The performance parameters acquired by the battery power management chip at least include the current releasable capacity of the battery, the rated capacity of the battery, the initial internal resistance of the battery pack, and the current internal resistance of the battery pack.

[0025] A distributed monitoring configuration system for an energy storage system, characterized by comprising:

[0026] Multiple monitoring devices are deployed in each independent battery unit of the energy storage system to collect and monitor the status parameters of each independent battery unit of the energy storage system in real time

[0027] The central processing unit performs system circulation control according to the state parameters, adopts a combined model method to perform parameterized calculations of the energy storage configuration strategy algorithm, and generates a local configuration strategy using the independent battery unit as a minimized configuration unit.

[0028] The monitoring device includes a sensor group and a data acquisition module. The sensor group includes a voltage sensor, a current sensor and a temperature sensor to respectively collect voltage information, current information and temperature information; the data acquisition module is connected to the sensor group to collect data obtained by the sensor group and transmit it to the central processing unit.

[0029] It can be seen from the above description of the present invention that, compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. In the present invention, a monitoring device is deployed in each independent battery unit of the energy storage system to collect and monitor the state parameters of each independent battery unit in real time, thereby improving the monitoring accuracy and real-time performance; the system circulation is regulated according to the state parameters and performance parameters, a combined model method is used to perform parameterized calculations of the energy storage configuration strategy algorithm, and a local configuration strategy is generated with the independent battery unit as the minimized configuration unit, thereby performing real-time configuration optimization of the energy storage system and improving the performance and reliability of the system.

[0031] 2. In the present invention, the configuration strategy generated according to the analysis results is distributed to the energy storage control system for real-time configuration optimization, including battery charging and discharging strategies, power allocation, etc., to achieve dual-target regulation of system circulation and balanced regulation and periodic regulation of health status, so that the service life of the energy storage system and the battery replacement time are effectively extended. The distributed monitoring configuration method can be used to flexibly configure and optimize the energy storage system according to actual needs.

[0032] 3. In the local configuration strategy generated in the present invention, the capacity parameter SOP is used to regulate the system circulation, dynamically adjust the system circulation charge and discharge scheme, cyclically guarantee the charging capacity of independent battery cells, deeply activate the internal activity of the battery cells, and maintain the health of the system. In addition, under the premise of dynamically adjusting the system circulation cycle to ensure the health of the system, it is also necessary to combine the temperature parameter SOT and the internal resistance parameter SOR as important constraints and boundary judgment conditions during dynamic adjustment.

[0033] 4. In the present invention, by deploying monitoring devices at various key locations of the energy storage system, comprehensive monitoring and configuration of the entire system can be achieved. In conjunction with the corresponding distributed monitoring configuration method, the energy storage system can be flexibly configured and optimized according to actual needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is the main flow chart of the method of the present invention;

[0035] Figure 2 It is a specific flow chart of the method of the present invention;

[0036] Figure 3 This is a diagram of the system composition of the present invention.

[0037] Wherein: 10. Independent battery unit, 20. Monitoring device, 21. Sensor group, 22. Data acquisition module, 30. Central processing unit.

[0038] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. DETAILED DESCRIPTION

[0039] The present invention is further described below through specific implementation modes.

[0040] In the present invention, the terms "first", "second", "third", etc. are only used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. In the description, the directions or positional relationships indicated by "upper", "lower", "left", "right", "front", and "back" are based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention, and are not intended to indicate or imply that the device referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the scope of protection of the present invention. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0041] In addition, in the description of this application, unless otherwise specified, "plurality" means two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the associated objects are in an "or" relationship.

[0042] See also Figure 1 to Figure 2 , a distributed monitoring configuration method for an energy storage system, comprising the following:

[0043] 1) Deploy monitoring devices in each independent battery cell of the energy storage system. The energy storage system includes multiple independent battery cells connected in series. The monitoring device may include a sensor group and a data acquisition module. The sensor group may include a voltage sensor, a current sensor, a temperature sensor, etc. The number of monitoring devices may correspond to the number of independent battery cells, and is used to respectively collect voltage information, current information and temperature information of the independent battery cells, so as to realize distributed in-situ collection of monitoring data of each independent battery cell. The data acquisition module is connected to the sensor group to collect data obtained by the sensor group.

[0044] 2) The status parameters of each independent battery unit of the energy storage system are collected and monitored in real time through the monitoring device, and the performance parameters of each independent battery unit are obtained through the battery power management chip.

[0045] Among them, the state parameters include voltage information, current information, temperature information, etc. The battery power management chip is used to monitor and manage the working status of independent battery cells. The performance parameters of independent battery cells obtained by the battery power management chip include at least the current releasable capacity of the battery, the rated capacity of the battery, the initial internal resistance of the battery pack, the current internal resistance of the battery pack, etc.

[0046] 3) The system circulation is regulated according to the state parameters and performance parameters, and the combined model method is used to perform parameterized calculations of the energy storage configuration strategy algorithm and generate a local configuration strategy with independent battery units as the minimum configuration unit.

[0047] In this step, the expression of the generated local configuration policy is:

[0048] S i =Ni×{A×SOP i +B×SOT i +C×SOR i}×100%

[0049] Among them, S i is the control parameter of battery pack i; Ni is the efficiency coefficient of battery pack i; SOP i is the capacity parameter of battery pack i; A is the capacity parameter correction coefficient; SOT i is the temperature parameter of battery pack i; B is the temperature parameter correction coefficient; SOR i is the internal resistance parameter of battery pack i; C is the internal resistance parameter correction coefficient.

[0050] In the present invention, the battery power management chip is used to observe the minimum subsystem of the distributed energy storage cell. When the energy storage system of the whole system is charged, the charging monitoring and management are performed to calculate the maximum charge amount of the minimum independent cell when it is charged independently. When the energy storage system is discharged, the battery power management chip is used to monitor the discharge capacity of the minimum independent subsystem to calculate the maximum dischargeable charge amount of the independent battery unit. According to the maximum chargeable charge amount and the maximum dischargeable charge amount, the current release capacity Q of the battery is calculated. i , and combined with the system's own battery parameters Q r Calculate the capacity parameter SOP of battery pack i i :

[0051]

[0052] In the sensor group, the temperature sensor can be a platinum-based temperature sensor, which can collect the temperature of the core area of ​​the battery cell of the independent battery unit, and calculate the temperature parameter SOT of the battery pack i at the current temperature according to the battery pack active energy coefficient attenuation function. i :

[0053]

[0054] in, is the activation energy coefficient of battery pack i, R i is the current internal resistance of battery pack i, T i It is the temperature of the core area of ​​the battery cell of an independent battery unit.

[0055] The power management chip is used to collect the internal resistance of the independent battery unit in real time, and the real-time internal resistance value R i And the internal resistance value R0 stored in the initial system, calculate the internal resistance parameter of the independent battery unit, that is, the internal resistance parameter SOR of the battery pack i i :

[0056]

[0057] Where R0 is the initial internal resistance of the battery pack, R i is the current internal resistance of battery pack i.

[0058] In the present invention, in the generated local configuration strategy, the capacity parameter SOP is used to regulate the system circulation, dynamically adjust the system circulation charge and discharge scheme, cyclically guarantee the charging capacity of the independent battery unit, deeply activate the internal activity of the battery cell, and maintain the health of the system. In addition, under the premise of dynamically adjusting the system circulation cycle to ensure the health of the system, it is also necessary to combine the temperature parameter SOT and the internal resistance parameter SOR, which are important constraints and boundary judgment conditions during dynamic adjustment. Using the temperature parameter SOT relative to the current internal resistance R of the battery pack i iThe monotonically decreasing internal resistance parameter SOR is relative to the current internal resistance R of battery pack i i The monotonically increasing characteristic, combined with the core monitoring temperature, is used as the boundary condition of the battery pack control parameters. When the battery pack control parameters change, the current internal resistance R of battery pack i i and the core area temperature T of the independent battery cell i The changes in the parameters are used as the local optimal solution for parameter adjustment, thereby achieving the purpose of optimizing and regulating the battery pack parameters.

[0059] During the circulation charging adjustment, the system is regulated and balanced, and the charge amount of each system in the distributed subsystem is monitored, and the charge amount is dynamically regulated. The capacity parameter SOP is positively correlated with the system, the temperature parameter SOT is negatively correlated with the system, and the internal resistance parameter SOR is negatively correlated with the system. The regulation parameter S i At maximum value.

[0060] In the present invention, the configuration strategy generated according to the analysis results is distributed to the energy storage system for real-time configuration optimization, including battery charging and discharging strategy, power allocation, etc., to achieve dual-target regulation of system circulation and balanced regulation and periodic regulation of health status, so that the service life of the energy storage system and the battery replacement time are effectively extended.

[0061] Based on this, see Figure 3 The present invention also provides a distributed monitoring configuration system for an energy storage system, comprising:

[0062] Multiple monitoring devices 20 are respectively deployed in each independent battery unit 10 of the energy storage system to collect and monitor the state parameters of each independent battery unit 10 of the energy storage system in real time. The monitoring device 20 includes a sensor group 21 and a data acquisition module 22. The sensor group 21 includes a voltage sensor, a current sensor and a temperature sensor to collect voltage information, current information and temperature information respectively; the data acquisition module 22 is connected to the sensor group 21 to collect data obtained by the sensor group 21. The data of the monitoring device 20 is transmitted to the central processing unit 30 through bus communication, which effectively avoids the interference of the collected signal caused by the charging and discharging of the system.

[0063] The central processing unit 30 is used for data processing and analysis to obtain the operating status and performance indicators of the energy storage system, such as the state of charge, health status, capacity parameters, temperature parameters, internal resistance parameters, etc., and to perform data analysis and configuration optimization. The central processing unit 30 performs system circulation control according to the state parameters and performance parameters, etc., uses the combined model method to perform parameterized calculations of the energy storage configuration strategy algorithm, and generates a local configuration strategy with the independent battery unit 10 as the minimum configuration unit.

[0064] The system of the present invention executes the above-mentioned distributed monitoring configuration method of an energy storage system, including the following:

[0065] See also Figure 2 After the monitoring device 20 is deployed for each independent battery unit 10, the monitoring device 20 starts to perform self-inspection. After the self-inspection passes, the sensor group 21 is used to detect voltage signals, current signals, temperature signals, etc., and then the data is collected by the data acquisition module 22 and transmitted to the central processing unit 30 for data analysis. The central processing unit 30 then combines the performance parameters from the battery power management chip to perform parameterized calculations of the energy storage configuration strategy algorithm and generates a local configuration strategy with the independent battery unit 10 as the minimized configuration unit, and sends the local configuration strategy to the corresponding independent battery unit 10, and the configuration strategy is also regularly adjusted.

[0066] The system and method of the present invention realize real-time monitoring and configuration of each module of the energy storage system through distributed monitoring and configuration devices, thereby improving the performance and reliability of the energy storage system.

[0067] The above is only a specific implementation of the present invention, but the design concept of the present invention is not limited thereto. Any non-substantial changes to the present invention using this concept shall be deemed as an infringement of the protection scope of the present invention.

Claims

1. A distributed monitoring configuration method for an energy storage system, characterized in that: include Deploy monitoring devices on each individual battery unit of the energy storage system; The state parameters of each independent battery cell of the energy storage system are collected and monitored in real time by a monitoring device, and the performance parameters of each independent battery cell are obtained by a battery power management chip; The system circulation is regulated according to the state parameters and performance parameters, and the combined model method is used to perform parameterized calculation of the energy storage configuration strategy algorithm and generate a local configuration strategy with the independent battery unit as the minimum configuration unit. The energy storage configuration strategy algorithm uses the system circulation and balanced regulation configuration as the real-time configuration parameter target and the health state as the periodic balanced parameter. The expression of the generated local configuration strategy is: S i =Ni×{A×SOP i +B×SOT i +C×SOR i }×100% Among them, S i is the control parameter of battery pack i; Ni is the efficiency coefficient of battery pack i; SOP i is the capacity parameter of battery pack i; A is the capacity parameter correction coefficient; SOT i is the temperature parameter of battery pack i; B is the temperature parameter correction coefficient; SOR i is the internal resistance parameter of battery pack i; C is the internal resistance parameter correction coefficient; the capacity parameter SOP of the battery pack i i The calculation formula is as follows: Where Q i Q is the current available capacity of the battery; r is the rated capacity of the battery; The temperature parameter SOT of the battery pack i i The calculation formula is as follows: Among them, T i is the core area temperature of the independent battery cell, is the activation energy coefficient of battery pack i, R i is the current internal resistance of battery pack i; The internal resistance parameter SOR of the battery pack i i The calculation formula is as follows: Where R0 is the initial internal resistance of the battery pack, R i is the current internal resistance of battery pack i; Using the capacity parameter SOP i While performing the system circulation regulation, the charge amount of each independent battery unit is monitored and the regulation parameter is at the maximum value, and the temperature parameter SOT i And internal resistance parameter SOR i These are important constraints and boundary judgment conditions for dynamic adjustment.

2. A distributed monitoring configuration method for an energy storage system according to claim 1, characterized in that: The method also includes distributing the generated local configuration strategy to the corresponding independent battery units of the energy storage system to perform real-time configuration optimization.

3. The distributed monitoring configuration method of an energy storage system according to claim 1, characterized in that: The performance parameters acquired by the battery power management chip at least include the current releasable capacity of the battery, the rated capacity of the battery, the initial internal resistance of the battery pack, and the current internal resistance of the battery pack.

4. A distributed monitoring configuration system for an energy storage system, characterized in that: A distributed monitoring configuration method for an energy storage system according to any one of claims 1 to 3, comprising: A plurality of monitoring devices are respectively deployed in each independent battery unit of the energy storage system to collect and monitor the state parameters of each independent battery unit of the energy storage system in real time; The central processing unit performs system circulation control according to the state parameters, adopts a combined model method to perform parameterized calculations of the energy storage configuration strategy algorithm, and generates a local configuration strategy using the independent battery unit as a minimized configuration unit.

5. A distributed monitoring configuration system for an energy storage system as claimed in claim 4, characterized in that: The monitoring device includes a sensor group and a data acquisition module. The sensor group includes a voltage sensor, a current sensor and a temperature sensor to respectively collect voltage information, current information and temperature information; the data acquisition module is connected to the sensor group to collect data obtained by the sensor group and transmit it to the central processing unit.

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