Intelligent electric quantity monitoring device of energy storage power supply

Abstract

The utility model discloses an intelligent electric quantity monitoring devices of energy storage power supply, including the casing, the one side of casing is inlayed with control panel, and the inside installation of casing has the circuit board, and the memory and microprocessor are installed in proper order on the circuit board, and the one end of casing is provided with the vice storage cavity. The utility model uses, and the current sensor real -time acquisition energy storage power supply's charge -discharge current data, as ampere -hour integration method's input, can calculate the preliminary electric quantity change value, simultaneously, voltage sensor gathers battery end voltage, and the temperature sensor on energy storage power supply obtains battery operating temperature, and these data are together as kalman filter algorithm's observation data with current data, and the state space model containing electric quantity, current, voltage etc. state variable is established, and the electric quantity result of ampere -hour integration method is predicted and corrected using kalman filter algorithm, is favorable to improve the precision of electric quantity monitoring.

Description

Technical Field

[0001] This utility model relates to the field of energy storage power monitoring technology, specifically to an intelligent power monitoring device for energy storage power. Background Technology

[0002] Energy storage power supplies play an important role in various scenarios such as energy, electronic equipment, and industrial production. It is a device or system that can convert electrical energy into other forms of energy for storage and convert it back into electrical energy when needed. In actual operation, in order to allow users to know the remaining power of the energy storage power supply in real time and make reasonable plans for power consumption, intelligent power monitoring devices are needed.

[0003] Current intelligent power monitoring devices for energy storage power supplies often rely solely on simple voltage measurement to estimate power. This method is susceptible to factors such as battery aging, temperature changes, and the magnitude of charging and discharging current, and cannot dynamically correct the power calculation results. Consequently, the power calculation results of the energy storage power supply are subject to significant deviations, affecting the accuracy of power monitoring. Based on this, we propose a novel intelligent power monitoring device for energy storage power supplies. Utility Model Content

[0004] The purpose of this invention is to provide an intelligent power monitoring device for energy storage power supplies to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, this utility model provides the following technical solution: an intelligent power monitoring device for an energy storage power supply, comprising a housing, a control panel embedded on one side of the housing, a circuit board installed inside the housing, a memory and a microprocessor sequentially mounted on the circuit board, a secondary storage cavity provided at one end of the housing, a wired communication module and a wireless communication module sequentially mounted inside the secondary storage cavity, both the wired and wireless communication modules being electrically connected to hot-swappable heads via wires, a hot-swappable slot matching the hot-swappable heads being provided inside the secondary storage cavity, a current sensor, a voltage sensor and a temperature sensor sequentially connected to one end of the housing, a cable management box matching the current sensor, voltage sensor and temperature sensor being sequentially provided on the housing, a rotating shaft being movably connected inside the cable management box, a planar spiral spring being installed between the rotating shaft and the cable management box, and a connecting cable fixed to the circuit board being wound on the planar spiral spring.

[0006] Preferably, each of the four corners on one side of the housing is fixed with an assembly foot, and the assembly foot is provided with a screw hole.

[0007] Preferably, the side of the housing near the mounting feet is provided with copper alloy heat dissipation fins arranged at equal intervals.

[0008] Preferably, the hot-swap slot is connected to the circuit board via wires.

[0009] Preferably, one end of the secondary storage cavity is connected to a protective cover by a flip-up mechanism.

[0010] Preferably, one end of the connecting cable is fixed with a threaded post, and the current sensor, voltage sensor and temperature sensor are all connected to the threaded post in a threaded connection structure, which facilitates the independent disassembly and maintenance of the current sensor, voltage sensor and temperature sensor.

[0011] Preferably, the output end of the cable management box is provided with a locking buckle that matches the connecting cable.

[0012] Preferably, the interior of the secondary receiving cavity is provided with fixing slots that engage with the wired communication module and the wireless communication module, so as to facilitate the fixing of the wired communication module and the wireless communication module inside the secondary receiving cavity.

[0013] Compared with the prior art, the beneficial effects of this utility model are:

[0014] (1) The intelligent power monitoring device of this energy storage power supply optimizes its performance by installing current sensors, etc. The current sensor connected to the energy storage power supply collects the charging and discharging current data of the energy storage power supply in real time, which is used as the input of the ampere-hour integration method. The ampere-hour integration method is a method to calculate the change in battery power based on the integration of current over time. This can calculate the preliminary change in power. At the same time, the voltage sensor connected to the energy storage power supply collects the battery terminal voltage, and the temperature sensor connected to the energy storage power supply obtains the battery operating temperature. These data, together with the current data, are used as the observation data for the Kalman filter algorithm to establish a state-space model containing state variables such as power, current, and voltage. The Kalman filter algorithm is used to analyze the power calculation results of the ampere-hour integration method. The system performs prediction and correction. Specifically, considering the impact of temperature on battery capacity and voltage, temperature-related parameters are introduced into the model. The Kalman filter algorithm is used to dynamically adjust the power estimate to compensate for errors caused by temperature changes, battery aging, and other factors, thereby improving the accuracy of power monitoring. During actual monitoring, the microprocessor is responsible for running the ampere-hour integration method and Kalman filter algorithm program to process and calculate the collected current, voltage, temperature, and other data. It dynamically corrects the power calculation results according to the algorithm logic and controls the operation of other modules. The memory is used to store the initial power data, intermediate variables during the algorithm operation, historical power data, and system configuration parameters, which facilitates subsequent data analysis and querying and helps optimize the operation of the monitoring system.

[0015] (2) The intelligent power monitoring device of this energy storage power supply optimizes its structure by installing hot-swappable heads, etc. On the one hand, the device utilizes a wired communication module to achieve short-distance and stable data transmission between the monitoring device and the energy storage power management system or other devices, and on the other hand, it utilizes a wireless communication module to support remote data transmission. This allows back-end staff to remotely view the power information and operating status of the energy storage power supply via mobile phones, cloud platforms, etc., facilitating remote monitoring and management. The wired and wireless communication modules can build an intelligent energy monitoring network for the device, enhancing its applicability. Furthermore, the user utilizes the hot-swappable structure formed between the hot-swappable heads connected by wires on the wired and wireless communication modules and the hot-swappable slots connected by wires on the circuit board, enabling... When the wired and wireless communication modules malfunction, there is no need to power off and disassemble the entire device. The faulty module can be quickly disassembled and replaced with a new one while the device is powered on, which greatly shortens maintenance time and improves maintenance efficiency. On the other hand, users can loosen the locking buckles on the cable management box, pull out the connecting cables of the current sensor, voltage sensor, and temperature sensor to the corresponding circuit board from inside the cable management box to a suitable length, and then tighten the connecting cables with the screw locking buckles. This can automatically rewind and organize the wiring structure of the external sensor structure. Subsequently, based on the energy storage and release effect of the planar spiral spring, loosening the locking buckles and the rotating shaft rotating under the action of the planar spiral spring can achieve automatic wire winding, which is beneficial to adjust the length of the wiring structure of the external sensor structure and avoid excessively long wires from tangling and twisting. Attached Figure Description

[0016] Figure 1 This is a front view structural diagram of the present invention;

[0017] Figure 2 This is a side view of the structure of this utility model;

[0018] Figure 3 This is a partial cross-sectional view of the cable management box of this utility model.

[0019] Figure 4 This is a front view cross-sectional structural diagram of the casing of this utility model;

[0020] Figure 5 This is a schematic diagram of the rear view structure of this utility model.

[0021] In the diagram: 1. Cable management box; 2. Current sensor; 3. Voltage sensor; 4. Temperature sensor; 5. Protective cover; 6. Control panel; 7. Housing; 8. Wired communication module; 9. Fixing slot; 10. Wireless communication module; 11. Hot-swap slot; 12. Hot-swap head; 13. Secondary storage cavity; 14. Locking clip; 15. Shaft; 16. Connecting cable; 17. Planar spiral spring; 18. Circuit board; 19. Copper alloy heat sink fins; 20. Memory; 21. Microprocessor; 22. Assembly feet; 23. Threaded post. Detailed Implementation

[0022] The technical solutions of the present utility model will be clearly and completely described below with reference to the accompanying drawings of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present utility model without creative effort are within the scope of protection of the present utility model.

[0023] Please see Figure 1-5 An embodiment of this utility model is provided: an intelligent power monitoring device for an energy storage power supply, including a housing 7, a control panel 6 embedded on one side of the housing 7, a circuit board 18 installed inside the housing 7, and a memory 20 and a microprocessor 21 sequentially installed on the circuit board 18.

[0024] One end of the housing 7 is provided with a secondary storage cavity 13. A wired communication module 8 and a wireless communication module 10 are installed in sequence inside the secondary storage cavity 13. Both the wired communication module 8 and the wireless communication module 10 are electrically connected to a hot-swap head 12 via wires. The secondary storage cavity 13 is provided with a hot-swap slot 11 that matches the hot-swap head 12.

[0025] In use, the device utilizes wired communication module 8 to achieve short-distance and stable data transmission between the monitoring device and the energy storage power management system or other equipment, and wireless communication module 10 to enable remote data transmission. This allows back-end staff to remotely view the power information and operating status of the energy storage power supply via mobile phone, cloud platform, etc., facilitating remote monitoring and management. The wired communication module 8 and wireless communication module 10 can build an intelligent energy monitoring network for the device, enhancing its applicability. On the other hand, the user utilizes the hot-swap structure formed between the hot-swap head 12 connected by wires on the wired communication module 8 and the hot-swap slot 11 connected by wires on the circuit board 18. This allows the device to quickly disassemble and replace the faulty module while it is powered on, without having to power off and disassemble the entire device, greatly shortening maintenance time and improving maintenance efficiency when the wired communication module 8 and the wireless communication module 10 malfunction.

[0026] One end of the housing 7 is connected to a current sensor 2, a voltage sensor 3 and a temperature sensor 4 in sequence. The housing 7 is provided with a cable management box 1 that matches the current sensor 2, the voltage sensor 3 and the temperature sensor 4 in sequence. The inside of the cable management box 1 is movably connected to a rotating shaft 15. A planar spiral spring 17 is installed between the rotating shaft 15 and the cable management box 1. A connecting cable 16 that is fixed to the circuit board 18 is wound on the planar spiral spring 17.

[0027] During use, current sensor 2, connected to the energy storage power supply, collects real-time charging and discharging current data as input for the ampere-hour integration method. This method calculates battery capacity changes based on the integration of current over time, providing an initial capacity change value. Simultaneously, voltage sensor 3, connected to the energy storage power supply, collects battery terminal voltage, and temperature sensor 4, connected to the energy storage power supply, acquires battery operating temperature. These data, along with the current data, serve as observation data for the Kalman filter algorithm. A state-space model incorporating state variables such as capacity, current, and voltage is established. The Kalman filter algorithm is then used to predict and correct the capacity results calculated by the ampere-hour integration method. Specifically, considering the effect of temperature on capacity... The influence of battery capacity and voltage is considered. Temperature-related parameters are introduced into the model, and the power estimation value is dynamically adjusted through the Kalman filter algorithm to compensate for errors caused by factors such as temperature changes and battery aging, thereby improving the accuracy of power monitoring. During actual monitoring operation, the microprocessor 21 is responsible for running the ampere-hour integration method and Kalman filter algorithm program, processing and calculating the collected current, voltage, temperature and other data, dynamically correcting the power calculation results according to the algorithm logic, and controlling the operation of other modules. The memory 20 is used to store the initial power data, intermediate variables during the algorithm operation, historical power data and system configuration parameters, which facilitates subsequent data analysis and query and helps to optimize the operation of the monitoring system.

[0028] Mounting feet 22 are fixed at the four corners on one side of the housing 7, and screw holes are provided on the mounting feet 22.

[0029] The side of the housing 7 near the mounting feet 22 is provided with copper alloy heat dissipation fins 19 arranged at equal intervals.

[0030] The hot-swap slot 11 is connected to the circuit board 18 via wires;

[0031] One end of the secondary storage cavity 13 is connected to a protective cover 5 via a flip-up connection;

[0032] One end of the connecting cable 16 is fixed with a threaded post 23. The current sensor 2, voltage sensor 3 and temperature sensor 4 are all connected to the threaded post 23 in a threaded connection structure, which makes it easy to independently disassemble and maintain the current sensor 2, voltage sensor 3 and temperature sensor 4.

[0033] The output end of the cable management box 1 is equipped with a locking clip 14 that matches the connecting cable 16;

[0034] In use, the user can loosen the locking buckle 14 on the cable management box 1, and pull out the connecting cables 16 of the current sensor 2, voltage sensor 3, and temperature sensor 4 corresponding to the circuit board 18 from the inside of the cable management box 1 to a suitable length. Then, tighten the locking buckle 14 to lock the connecting cables 16. This can automatically wind up and organize the wiring structure of the external sensor structure. Subsequently, based on the energy storage and release effect of the planar spiral spring 17, loosening the locking buckle 14 and rotating the shaft 15 under the action of the planar spiral spring 17 can achieve automatic wire winding. This is beneficial for adjusting the length of the wiring structure of the external sensor structure and avoiding excessively long wires from tangling and twisting.

[0035] The secondary storage cavity 13 is provided with a fixing slot 9 that engages with the wired communication module 8 and the wireless communication module 10, so as to facilitate the fixing of the wired communication module 8 and the wireless communication module 10 inside the secondary storage cavity 13.

[0036] In this embodiment, when in use: First, the user can use the mounting feet 22 with screw holes to mount the device close to the energy storage power source using screws. Then, the current sensor 2, voltage sensor 3, and temperature sensor 4 are sequentially installed at their corresponding positions on the energy storage power source to collect real-time current, voltage, and temperature data. Next, the user can loosen the locking clips 14 on the cable management box 1, pull out the connecting cables 16 of the current sensor 2, voltage sensor 3, and temperature sensor 4 corresponding to the circuit board 18 from inside the cable management box 1 to a suitable length, and then tighten the locking clips 14 to secure the connecting cables 16. This automatically winds up and organizes the wiring structure of the external sensor structure. Subsequently, based on the energy storage and release effect of the planar spiral spring 17, the locking wire buckle 14 is loosened, and the rotating shaft 15 rotates under the action of the planar spiral spring 17 to achieve automatic wire winding. This facilitates the adjustment of the wiring length of the external sensor structure and avoids excessively long wires from tangling or twisting. During actual operation, the current sensor 2 connected to the energy storage power supply collects the charging and discharging current data of the energy storage power supply in real time, which serves as the input for the ampere-hour integration method. The ampere-hour integration method is a method for calculating the change in battery capacity based on the integration of current over time. This can calculate the preliminary change in capacity. At the same time, the voltage sensor 3 connected to the energy storage power supply collects the battery terminal voltage, and the temperature sensor 4 connected to the energy storage power supply obtains the battery operating temperature. These data, along with the current data, are used to calculate the battery capacity. Together with the observation data used in the Kalman filter algorithm, a state-space model containing state variables such as charge, current, and voltage is established. The Kalman filter algorithm is used to predict and correct the charge result calculated by the ampere-hour integration method. Specifically, considering the influence of temperature on battery capacity and voltage, temperature-related parameters are introduced into the model. The Kalman filter algorithm dynamically adjusts the charge estimate to compensate for errors caused by factors such as temperature changes and battery aging, thereby improving the accuracy of charge monitoring. During actual monitoring operation, the microprocessor 21 is responsible for running the ampere-hour integration method and Kalman filter algorithm programs, processing and calculating the collected current, voltage, temperature, and other data, dynamically correcting the charge calculation results according to the algorithm logic, and controlling the operation of other modules. The memory 20 is used to store initial power data, intermediate variables during algorithm operation, historical power data, and system configuration parameters, facilitating subsequent data analysis and retrieval, and helping to optimize the operation of the monitoring system. Simultaneously, the device utilizes both wired communication module 8 to achieve short-distance, stable data transmission between the monitoring device and the energy storage power management system or other equipment, and wireless communication module 10 to support remote data transmission. This allows back-end staff to remotely view the power information and operating status of the energy storage power source via mobile phones, cloud platforms, etc., facilitating remote monitoring and management. The wired communication module 8 and wireless communication module 10 can be used to build an intelligent energy monitoring network for the device, enhancing its applicability. Furthermore…The user utilizes the hot-swappable structure formed between the hot-swappable head 12 connected by wires on the wired communication module 8 and the hot-swappable slot 11 connected by wires on the circuit board 18. This allows for quick and easy removal and replacement of faulty modules without powering off the entire device when the wired communication module 8 or the wireless communication module 10 malfunctions. This significantly reduces maintenance time and improves maintenance efficiency.

Claims

1. An intelligent power monitoring device for an energy storage power source, characterized in that, The device includes a housing (7), on one side of which a control panel (6) is embedded. A circuit board (18) is installed inside the housing (7), on which a memory (20) and a microprocessor (21) are sequentially mounted. A secondary storage cavity (13) is provided at one end of the housing (7). A wired communication module (8) and a wireless communication module (10) are sequentially mounted inside the secondary storage cavity (13). Both the wired communication module (8) and the wireless communication module (10) are electrically connected to hot-swappable connectors (12) via wires. The secondary storage cavity (13) is equipped with a heat exchanger. A hot-swap slot (11) matching the plug head (12) is provided on one end of the housing (7), and a current sensor (2), a voltage sensor (3) and a temperature sensor (4) are connected in sequence. A cable management box (1) matching the current sensor (2), the voltage sensor (3) and the temperature sensor (4) is arranged in sequence on the housing (7). A rotating shaft (15) is movably connected inside the cable management box (1). A planar spiral spring (17) is installed between the rotating shaft (15) and the cable management box (1). A connecting cable (16) fixed to the circuit board (18) is wound on the planar spiral spring (17).

2. The intelligent power monitoring device for an energy storage power source according to claim 1, characterized in that: The four corners on one side of the housing (7) are all fixed with mounting feet (22), and the mounting feet (22) are provided with screw holes.

3. The intelligent power monitoring device for an energy storage power source according to claim 2, characterized in that: The housing (7) is provided with copper alloy heat dissipation fins (19) arranged at equal intervals on the side near the mounting feet (22).

4. The intelligent power monitoring device for an energy storage power source according to claim 1, characterized in that: The hot-swap slot (11) is connected to the circuit board (18) via wires.

5. The intelligent power monitoring device for an energy storage power source according to claim 1, characterized in that: One end of the secondary storage cavity (13) is connected to a protective cover (5) by flipping.

6. The intelligent power monitoring device for an energy storage power source according to claim 1, characterized in that: One end of the connecting cable (16) is fixed with a threaded post (23), and the current sensor (2), voltage sensor (3) and temperature sensor (4) are all connected to the threaded post (23) in a threaded connection structure.

7. The intelligent power monitoring device for an energy storage power source according to claim 1, characterized in that: The output end of the cable management box (1) is provided with a locking buckle (14) that matches the connecting cable (16).

8. The intelligent power monitoring device for an energy storage power source according to claim 1, characterized in that: The interior of the secondary receiving cavity (13) is provided with fixed slots (9) that engage with the wired communication module (8) and the wireless communication module (10).

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