An on-line state monitoring system for a battery of an uninterruptible power supply (UPS)
Patent Information
- Application Number
- CN202522327783.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-03
- Publication Date
- 2026-09-22
- Estimated Expiration
- 2035-11-03
AI Technical Summary
[0010]本实用新型的目的在于针对现有技术中不足与缺陷,提供一种不间断电源UPS蓄电池的在线状态监测系统,通过在内阻检测仪、采集模块、PLC控制器及上位机之间构建一套完整的在线监测系统,实现了对UPS蓄电池内阻、电压和温度的高精度、不间断实时监测,从根本上克服了传统方法需中断运行、精度不足及无法动态跟踪的缺陷;系统通过动态实时捕捉瞬态响应,显著提升了抗干扰能力与测量准确性,并能够综合温度、SOC及老化状态等多因素耦合影响,动态修正容量评估模型,从而实现对电池健康状态的智能诊断与早期预警,最终大幅提升了运维效率与供电系统的可靠性,有效避免了因UPS外部电源突然缺失且蓄电池异常而导致系统瘫痪的风险
[0017]采用上述技术方案后,本实用新型有益效果为:通过在内阻检测仪、采集模块、PLC控制器及上位机之间构建一套完整的在线监测系统,实现了对UPS蓄电池内阻、电压和温度的高精度、不间断实时监测,从根本上克服了传统方法需中断运行、精度不足及无法动态跟踪的缺陷;系统通过动态实时捕捉瞬态响应,显著提升了抗干扰能力与测量准确性,并能够综合温度、SOC及老化状态等多因素耦合影响,动态修正容量评估模型,从而实现对电池健康状态的智能诊断与早期预警,最终大幅提升了运维效率与供电系统的可靠性,有效避免了因UPS外部电源突然缺失且蓄电池异常而导致系统瘫痪的风险。
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Figure CN224788904U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of UPS technology, specifically to an online status monitoring system for UPS batteries. Background Technology
[0002] Uninterruptible power supply (UPS) batteries are the core of backup power for critical facilities such as data centers, DCS / PLC control rooms in production systems, and communication base stations. Their health status directly affects the reliability of the power supply system. The internal resistance, voltage, and temperature of the battery are key parameters for assessing its capacity degradation and aging.
[0003] Currently, traditional battery testing methods have significant limitations: Constant current discharge method: requires manual intervention to perform discharge test. The battery is unusable during the test, which increases the risk of system failure. Frequent testing will also accelerate battery aging.
[0004] Terminal voltage detection method: It can only identify obvious faults in individual batteries. When the entire battery pack ages uniformly, it cannot provide an effective warning and is difficult to detect the "phantom charge" phenomenon where the float charge voltage is normal but the discharge capacity is insufficient.
[0005] Manual inspection: relies on regular maintenance, is costly and inefficient, and cannot detect sudden faults such as sudden increase in internal resistance and thermal runaway in real time.
[0006] However, the following technical challenges still exist: High measurement accuracy is required: the internal resistance of the battery is extremely small (milliohms), and the measurement requires voltage sampling accuracy at the microvolt level.
[0007] Multi-factor coupling interference: The internal resistance value is significantly affected by multiple factors such as temperature, state of charge (SOC) and aging mechanism (such as sulfidation and electrolyte drying), which are difficult to decouple and analyze using traditional methods.
[0008] Dynamic response capture is difficult: sudden changes in current during charging and discharging cause drastic fluctuations in terminal voltage, making it difficult for traditional algorithms to accurately capture effective transient response signals.
[0009] Therefore, there is an urgent need for an online status monitoring system for UPS batteries. Utility Model Content
[0010] The purpose of this invention is to address the shortcomings and defects of existing technologies by providing an online status monitoring system for UPS batteries. By constructing a complete online monitoring system connecting an internal resistance detector, a data acquisition module, a PLC controller, and a host computer, it achieves high-precision, uninterrupted real-time monitoring of the UPS battery's internal resistance, voltage, and temperature. This fundamentally overcomes the shortcomings of traditional methods, such as the need for interrupted operation, insufficient accuracy, and inability to dynamically track data. The system significantly improves anti-interference capabilities and measurement accuracy by dynamically capturing transient responses in real time. Furthermore, it can comprehensively consider the coupled effects of multiple factors such as temperature, SOC, and aging status to dynamically correct the capacity assessment model, thereby achieving intelligent diagnosis and early warning of battery health status. Ultimately, this greatly improves operational efficiency and the reliability of the power supply system, effectively avoiding the risk of system paralysis due to sudden loss of external power supply and battery malfunction.
[0011] To achieve the above objectives, the present invention adopts the following technical solution: an online status monitoring system for an uninterruptible power supply (UPS) battery, comprising a battery: an internal resistance detector installed on the battery; a battery system acquisition module: communicatively connected to the internal resistance detector installed on the battery; and a modular PLC controller: communicatively connected to the battery system acquisition module, wherein a touch screen is communicatively connected to the modular PLC controller.
[0012] Furthermore, the touchscreen is equipped with a wireless communication module, and the touchscreen is connected to a host computer via communication.
[0013] Furthermore, the storage battery is provided in several parts, and each storage battery is equipped with an internal resistance detector.
[0014] Furthermore, the multiple internal resistance detectors are all connected to the battery system acquisition module via RS485 communication, and the battery system acquisition module is also connected to the modular PLC controller via RS485 communication.
[0015] Furthermore, the modular PLC controller is a Siemens S7-200 SMART CPU ST30.
[0016] Furthermore, the modular PLC controller is also connected to a dynamic event acquisition module.
[0017] After adopting the above technical solution, the beneficial effects of this utility model are as follows: By constructing a complete online monitoring system between the internal resistance detector, the acquisition module, the PLC controller, and the host computer, high-precision, uninterrupted real-time monitoring of the UPS battery's internal resistance, voltage, and temperature is achieved, fundamentally overcoming the shortcomings of traditional methods, such as the need for interrupted operation, insufficient accuracy, and inability to dynamically track. The system significantly improves anti-interference capability and measurement accuracy by dynamically capturing transient responses in real time. It can also dynamically correct the capacity assessment model by comprehensively considering the coupled effects of multiple factors such as temperature, SOC, and aging status, thereby achieving intelligent diagnosis and early warning of battery health status. Ultimately, this greatly improves operation and maintenance efficiency and the reliability of the power supply system, effectively avoiding the risk of system paralysis due to sudden loss of external power supply to the UPS and abnormal battery conditions. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0019] Figure 1 This is a schematic diagram of the structure of this utility model.
[0020] Figure 2 This is the overall circuit diagram of this utility model.
[0021] Figure 3 yes Figure 2 Enlarged view at point A (circuit schematic of the dynamic event acquisition module).
[0022] Figure 4 yes Figure 2 Enlarged view at point B (circuit schematic diagram of battery, internal resistance detector and battery system acquisition module).
[0023] Figure 5 yes Figure 2 Enlarged view at point C (circuit schematic of the touchscreen and host computer) Figure 6 yes Figure 2 Enlarged view at point D (circuit schematic of a modular PLC controller).
[0024] Explanation of reference numerals in the attached diagram: 1. Battery; 2. Internal resistance detector; 3. Battery system acquisition module; 4. Modular PLC controller; 5. Touch screen; 6. Host computer; 7. Dynamic event acquisition module; 8. Wireless communication module 501. Detailed Implementation
[0025] See Figures 1-6 As shown, the technical solution adopted in this specific embodiment is as follows: It includes a storage battery 1; an internal resistance detector 2 is installed on the storage battery 1; a battery system acquisition module 3 is communicatively connected to the internal resistance detector 2 installed on the storage battery 1; a modular PLC controller 4 is communicatively connected to the battery system acquisition module 3, and a touch screen 5 is communicatively connected to the modular PLC controller 4. The touch screen 5 is used to display the internal resistance value, voltage value, temperature value, and system status of the storage battery 1 in real time.
[0026] More specifically, the touchscreen 5 is equipped with a wireless communication module 501, and the touchscreen 5 is connected to a host computer 6 via communication. The host computer 6 is used to receive, store, and analyze the internal resistance, voltage, and temperature values of the battery 1, as well as the system status, and to issue alarms.
[0027] More specifically, there are several batteries 1, and each battery 1 is equipped with an internal resistance detector 2. The internal resistance detector 2 collects the potential and positive and negative electrode temperatures of each battery.
[0028] More specifically, multiple internal resistance detectors 2 are all connected to the battery system acquisition module 3 via RS485 communication, and the battery system acquisition module 3 is also connected to the modular PLC controller 4 via RS485 communication. The battery system acquisition module 3 is used to collect the battery current, as well as the positive electrode potential and positive and negative electrode temperatures from each internal resistance detector 2, to calculate the internal resistance, terminal voltage, and temperature of each battery 1. The modular PLC controller 4 is used to receive and process the internal resistance, terminal voltage, and temperature of each battery 1, and together with the battery system acquisition module 3 and multiple internal resistance detectors 2, forms a distributed data acquisition network for monitoring the battery pack.
[0029] More specifically, the modular PLC controller 4 is a Siemens S7-200 SMART CPU ST30.
[0030] More specifically, the modular PLC controller 4 is also connected to a dynamic event acquisition module 7 via communication. The dynamic event acquisition module 7 can acquire the voltage and current of the battery pack, charging and discharging module, and load, and monitor equipment parameters and operating status.
[0031] The working principle of this utility model is as follows: After the system starts, the internal resistance detector 2 dynamically captures the positive electrode potential and positive and negative electrode temperatures of the battery through a high-precision sampling circuit. The battery system acquisition module 3 collects transient real-time current and accurately calculates the battery's internal resistance, terminal voltage, and temperature. These real-time data are aggregated by the battery system acquisition module 3 and transmitted to the modular PLC controller 4 for preliminary processing and packaging. The monitoring signals from the dynamic event acquisition module 7 and the modular PLC controller 4 are also uploaded to the touchscreen 5 and the host computer 6 in the background. After receiving the data, the touchscreen 5 displays it in real time and issues an alarm. The host computer 6... After receiving the data, it not only performs real-time display, storage, and anomaly alarms, but more importantly, it calls the built-in dynamic capacity assessment model to integrate and analyze the measured internal resistance and voltage with temperature, state of charge (SOC), and historical aging data. This allows for intelligent diagnosis of the battery's state of health (SOH) and remaining capacity. When data anomalies are detected, it immediately issues an audible and visual alarm through the human-machine interface, achieving fully automated online monitoring from data acquisition and intelligent analysis to fault warning. Furthermore, the host computer 6 has a built-in PBC battery state assessment algorithm that can dynamically correct the battery capacity assessment model based on the internal resistance and voltage data, combined with temperature and battery SOC factors, and generate a fault alarm when data anomalies occur.
[0032] The above description is only used to illustrate the technical solution of this utility model and is not intended to limit it. Any other modifications or equivalent substitutions made by those skilled in the art to the technical solution of this utility model, as long as they do not depart from the spirit and scope of the technical solution of this utility model, should be covered within the scope of the claims of this utility model.
Claims
1. An online status monitoring system for an uninterruptible power supply (UPS) battery, characterized in that: It includes Storage battery (1): The storage battery (1) is equipped with an internal resistance detector (2); Battery system acquisition module (3): It is connected in communication with the internal resistance detector (2) installed on the battery (1); Modular PLC controller (4): It is connected to the battery system acquisition module (3) for communication, and the modular PLC controller (4) is connected to a touch screen (5).
2. The online status monitoring system for an uninterruptible power supply (UPS) battery according to claim 1, characterized in that: The touch screen (5) is equipped with a wireless communication module (501), and the touch screen (5) is connected to a host computer (6) via communication.
3. The online status monitoring system for an uninterruptible power supply (UPS) battery according to claim 1, characterized in that: The storage battery (1) is provided in several parts, and each storage battery (1) is equipped with an internal resistance detector (2).
4. The online status monitoring system for an uninterruptible power supply (UPS) battery according to claim 1, characterized in that: The multiple internal resistance detectors (2) are all connected to the battery system acquisition module (3) via RS485 communication, and the battery system acquisition module (3) is also connected to the modular PLC controller (4) via RS485 communication.
5. The online status monitoring system for an uninterruptible power supply (UPS) battery according to claim 1, characterized in that: The modular PLC controller (4) is a Siemens S7-200 SMART CPU ST30.
6. The online status monitoring system for an uninterruptible power supply (UPS) battery according to claim 1, characterized in that: The modular PLC controller (4) is also connected to a dynamic event acquisition module (7).