Current, voltage, smoke and temperature detection system

Abstract

The invention relates to the technical field of battery detection, and discloses a current, voltage, smoke and temperature detection system. The system comprises a detection module, a main control and processing module, an information transmission module and a warning and indicating module. Wherein the detection module is used for monitoring key parameters, including current, voltage, smoke and temperature, of a vehicle-mounted battery in real time; wherein the main control and processing module is used for receiving data of each detection module, performing intelligent algorithm analysis and data processing, judging whether a fire early warning condition is met or not, and sending out a corresponding instruction; wherein the information transmission module is used for sending early warning information of the system to a user mobile phone client, so that a user can know the state of a battery in real time, and the problem that an existing current, voltage, smoke and temperature detection system is obviously insufficient in the aspects of adapting to complex battery working conditions and meeting high-precision and high-stability monitoring requirements is solved.

Description

Technical Field

[0001] The invention relates to the technical field of battery detection, in particular to a current, voltage, smoke and temperature detection system. Background Art

[0002] With the development of science and technology, the popularization of new energy vehicles, and the increase in the number of on-board batteries, the problem of frequent battery fires has gradually become prominent. Power battery failure is one of the main causes of fires in new energy vehicles. Battery thermal runaway is the main cause of fires, which may be triggered by improper charging behavior, bottom collision, long-term soaking in water and other factors. In order to improve the safety of new energy vehicles, it is particularly important to design a current, voltage, smoke and temperature detection system for on-board batteries. On the one hand, it reduces the economic losses of car owners caused by fires, and on the other hand, it reduces casualties caused by on-board battery fires, reducing the public's widespread concerns about the safety of new energy vehicles.

[0003] With the continuous advancement of battery technology and the widespread application of new battery materials, battery operating conditions have become more and more complex and changeable, which has put forward higher requirements on the accuracy and stability of the detection system. However, the existing system has obvious deficiencies in algorithm optimization and data processing capabilities, and it is difficult to accurately capture subtle changes in battery parameters, and thus it is impossible to issue early warning information in a timely and accurate manner. In addition, when the system issues an alarm, due to the lack of richness and detail in the alarm mode and prompt information of the warning and indication module, users often find it difficult to quickly judge the nature and severity of the problem after receiving the alarm, resulting in delays in response measures, which may not only cause further damage to the battery, but also pose a threat to the safety of users' lives and property. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] The purpose of the present invention is to solve the problem that the existing current, voltage, smoke and temperature detection system has obvious deficiencies in adapting to complex battery operating conditions and meeting high-precision and high-stability monitoring requirements, and to propose a current, voltage, smoke and temperature detection system.

[0006] (II) Technical solution

[0007] The technical solution of the present invention to solve the above technical problems is as follows:

[0008] The current, voltage, smoke and temperature detection system includes: a detection module, a main control and processing module, an information transmission module and a warning and indication module;

[0009] The detection module is used to monitor key parameters of the vehicle battery in real time, including current, voltage, smoke and temperature;

[0010] The main control and processing module is used to receive data from each detection module, perform intelligent algorithm analysis and data processing, determine whether the fire warning conditions are met, and issue corresponding instructions;

[0011] The information transmission module is used to send the system warning information to the user's mobile client, so that the user can understand the battery status in real time;

[0012] The warning and indication module is used to issue a prompt sound or a warning sound according to the instructions of the main control and processing module to remind the user to pay attention to the battery status and take corresponding measures.

[0013] Based on the above technical solution, the present invention can also be improved as follows.

[0014] Furthermore, the detection module includes the following submodules:

[0015] The current and voltage detection submodule adopts the sampling circuit of the high-voltage DC bus voltage, and uses the HCNR200 linear optocoupler, OPA2171 operational amplifier, and MC34063ADR2G power chip components to achieve accurate detection of the battery current and voltage;

[0016] The smoke detection submodule uses the BL5980 smoke detection chip, combined with an optical maze structure, and powered by a button battery to achieve real-time monitoring of smoke. When smoke is detected, the module will immediately transmit the information to the main control and processing module so that the system can respond in time;

[0017] The temperature detection submodule uses the MLX90614 temperature sensor to convert temperature information into electrical signals and transmit them to the main control and processing module to monitor and obtain the battery temperature in real time.

[0018] Furthermore, the detection module further includes: a humidity detection submodule, a gas detection submodule and a battery health status assessment submodule;

[0019] The humidity detection submodule adopts HTU21D humidity sensor to monitor the humidity of battery compartment or surrounding environment in real time, and obtains early warning of potential risks such as battery corrosion and short circuit by monitoring humidity;

[0020] The gas detection submodule integrates an MQ-2 combustible gas sensor to detect harmful gases such as hydrogen and carbon monoxide released by the battery. If the concentration of harmful gases exceeds the standard, the module immediately sends an alarm signal to the main control and processing module to prevent thermal runaway or explosion of the battery.

[0021] The battery health status assessment submodule evaluates the battery's remaining capacity, internal resistance change and other health indicators based on the data from the current and voltage detection submodule in combination with the battery management algorithm, and obtains data on the battery's life and performance degradation trend through continuous monitoring and evaluation.

[0022] Furthermore, each submodule has a built-in calibration algorithm and can perform automatic calibration periodically or according to user instructions to detect the accuracy and stability of the data. The submodules are connected and communicated using standard interfaces and communication protocols, and users can flexibly add or replace submodules according to actual needs.

[0023] Furthermore, the main control and processing module adopts an STM32F103C8T6 microcontroller to receive data from each detection module and perform intelligent algorithm analysis and data processing. When it is determined that the battery status is abnormal or the fire warning conditions are met, the main control unit will immediately issue a warning instruction. The main control and processing module also has a built-in large-capacity memory for storing historical detection data, supporting data playback and trend analysis. At the same time, the main control and processing module has a built-in time series analysis algorithm to predict battery performance changes based on historical data, predict potential problems with future battery performance, and provide preventive maintenance suggestions.

[0024] Furthermore, the main control and processing module also has a built-in fault diagnosis algorithm for real-time analysis of the data uploaded by each detection module, identification of abnormal data or communication failures, and automatic attempts to isolate and self-repair the fault. If the fault cannot be self-repaired, the fault log is recorded and sent to the user through the information transmission module. The main control and processing module also integrates an intelligent early warning algorithm based on machine learning to learn the normal distribution and change trend of battery performance data, automatically identify abnormal patterns, and trigger different levels of early warning signals according to the severity and urgency of the abnormal patterns, including but not limited to text messages, emails, APP push, etc., so as to more accurately remind users to pay attention to the battery status. The main control and processing module provides a remote configuration interface, and users can remotely adjust system parameters such as early warning thresholds, sampling frequencies, etc. through the information transmission module.

[0025] Furthermore, the information transmission module adopts the WL6601 Bluetooth module and follows the Modbus protocol to send the warning information to the user's mobile client. The information transmission module also extends support for MQTT and HTTP Internet of Things communication protocols to adapt to different user environments and system integration requirements. Users can choose the optimal communication protocol according to actual conditions to ensure that the warning information can be transmitted to the user's mobile client. The information transmission module also includes a multi-terminal synchronization and push sub-module to synchronously push the warning information to multiple user mobile clients.

[0026] Furthermore, the warning and indication module adopts a passive buzzer to emit a prompt sound or a warning sound according to the instructions of the main control and processing module, wherein the warning and indication module also includes a multi-level alarm mechanism module, and the multi-level alarm mechanism module sets different alarm levels and sound modes according to the urgency of the warning information.

[0027] Furthermore, the warning and indication module has a built-in memory for recording detailed information of each alarm, including alarm time, alarm level, abnormal parameter values, user response, etc. Users can query the alarm history through the mobile client or system interface to understand the past status of the battery, analyze alarm trends, and take corresponding preventive measures. In addition, different alarm priorities are set in the warning and indication module, and the system can automatically judge and adjust the urgency and sound mode of the alarm according to preset priority rules.

[0028] (III) Beneficial effects

[0029] Compared with the prior art, the technical solution of this application has the following beneficial technical effects:

[0030] The detection module of the present invention can monitor the key parameters of the vehicle battery in real time, including current, voltage, smoke and temperature. Through comprehensive monitoring, the system can more accurately reflect the actual status of the battery, thereby improving the accuracy and reliability of the early warning. Secondly, the main control and processing module adopts intelligent algorithms for data analysis and processing, which can more efficiently determine whether the battery status meets the fire warning conditions, which not only improves the intelligence level of the system, but also enhances its ability to adapt to complex and changeable battery operating conditions. In addition, the information transmission module can send the system's early warning information to the user's mobile phone client in real time, so that the user can understand the battery status anytime and anywhere. Finally, the warning and indication module sends a prompt sound or warning sound according to the instructions of the main control and processing module to remind the user to pay attention to the battery status, and also helps the user quickly determine the nature and severity of the problem through detailed prompt information. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the circuit connection between the main control chip and the Bluetooth module of the current, voltage, smoke and temperature detection system of the present invention;

[0032] Figure 2 It is a circuit connection diagram of the buzzer, boost module and current and voltage detection module of the current, voltage, smoke and temperature detection system of the present invention;

[0033] Figure 3 It is a circuit connection diagram of the voltage reduction module, the temperature detection module and the smoke detection module of the current, voltage, smoke and temperature detection system of the present invention;

[0034] Figure 4This is the overall system block diagram of the current, voltage, smoke and temperature detection system of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Combination Figure 1-Figure 4 As shown, the current, voltage, smoke and temperature detection system of the present invention comprises: a detection module, a main control and processing module, an information transmission module and a warning and indication module;

[0037] The detection module is used to monitor the key parameters of the vehicle battery in real time, including current, voltage, smoke and temperature;

[0038] The main control and processing module is used to receive data from each detection module, perform intelligent algorithm analysis and data processing, determine whether the fire warning conditions are met, and issue corresponding instructions;

[0039] The information transmission module is used to send the system's warning information to the user's mobile client, so that the user can understand the battery status in real time;

[0040] The warning and indication module is used to issue a prompt sound or a warning sound according to the instructions of the main control and processing module to remind the user to pay attention to the battery status and take corresponding measures.

[0041] In a preferred embodiment, the present invention can be further configured as follows: the detection module includes the following submodules:

[0042] The current and voltage detection submodule adopts the sampling circuit of the high-voltage DC bus voltage, and uses the HCNR200 linear optocoupler, OPA2171 operational amplifier, and MC34063ADR2G power chip components to achieve accurate detection of the battery current and voltage;

[0043] The smoke detection submodule uses the BL5980 smoke detection chip, combined with an optical maze structure, and powered by a button battery to achieve real-time monitoring of smoke. When smoke is detected, the module will immediately transmit the information to the main control and processing module so that the system can respond in time;

[0044] The temperature detection submodule uses the MLX90614 temperature sensor to convert temperature information into electrical signals and transmit them to the main control and processing modules, so as to monitor and obtain the temperature of the battery in real time. By introducing a series of high-precision submodules, accurate detection of key battery parameters is achieved. Among them, the current and voltage detection submodule uses a high-voltage DC bus voltage sampling circuit and integrates components such as the HCNR200 linear optocoupler, OPA2171 operational amplifier, and MC34063ADR2G power chip. The synergy of these components can ensure accurate measurement of battery current and voltage, thereby improving the accuracy and reliability of the system. Secondly, the design of the smoke detection submodule also reflects the pursuit of accuracy. This submodule uses BL598 0 smoke detection chip, and combined with an optical maze structure, this design can achieve real-time monitoring of smoke, and has high sensitivity. Once smoke is detected, the module will immediately pass the information to the main control and processing module so that the system can respond in time, avoiding safety hazards caused by false alarms or missed alarms. In addition, the module is powered by a button battery to ensure its stable operation under various working conditions. Furthermore, the temperature detection submodule uses the MLX90614 temperature sensor. The module can convert temperature information into electrical signals and pass it to the main control and processing modules in real time, thereby realizing accurate monitoring of battery temperature. This feature is of great significance for preventing safety hazards such as battery thermal runaway, because temperature is one of the important indicators reflecting the battery status, such as Figure 2 As shown, a sampling circuit of high-voltage DC bus voltage is used, and the linear photocoupler HCN200 realizes accurate sampling of high-voltage DC voltage. Resistors R16-18, U5.1 and U8.1, the diode between ports 5 and 6 in the linear photocoupler, and C23-27 together constitute a current-voltage conversion circuit. The converted voltage signal output port is connected to the main control chip PA1. In order to improve signal resolution and anti-interference ability, 12Vdc power supply is used for both sides; 5V to 12V boost module circuit is shown in Figure 2 As shown, the MC34063 power module is used. Figure 3 As shown in the figure, the BL5980 chip is used as the smoke detection chip. The entire module is powered by a button battery. When smoke is detected, the information is converted into an electrical signal and connected to the main control chip PA2 through the IO port to transmit the information. Figure 3 As shown, the MLX90614 temperature sensor converts the collected temperature information into an electrical signal and transmits the information through the SDA / PWM port to the main control chip PA8.

[0045] In a preferred embodiment, the present invention can be further configured as follows: the detection module further includes: a humidity detection submodule, a gas detection submodule and a battery health status assessment submodule;

[0046] The humidity detection submodule uses the HTU21D humidity sensor to monitor the humidity of the battery compartment or the surrounding environment in real time, and to obtain early warning of potential risks such as battery corrosion and short circuit by monitoring the humidity;

[0047] The gas detection submodule integrates the MQ-2 combustible gas sensor to detect harmful gases such as hydrogen and carbon monoxide released by the battery. If the concentration of harmful gases exceeds the standard, the module will immediately send an alarm signal to the main control and processing module to prevent thermal runaway or explosion of the battery.

[0048] The battery health status assessment submodule evaluates the remaining capacity, internal resistance change and other health indicators of the battery based on the data of the current and voltage detection submodule, combined with the battery management algorithm. Through continuous monitoring and evaluation, the data of the battery life and performance degradation trend are obtained. By adopting the HTU21D humidity sensor, the module can monitor the humidity of the battery compartment or the surrounding environment in real time, so as to effectively warn of potential risks such as battery corrosion and short circuit. Humidity is one of the important factors affecting battery performance and service life. Excessive humidity may cause chemical reactions inside the battery, which may lead to safety problems. Therefore, the addition of the humidity detection submodule provides additional protection for the safe use of the battery. Secondly, the integration of the gas detection submodule further improves the safety of the system. The module adopts the MQ-2 combustible gas sensor, which can detect harmful gases such as hydrogen and carbon monoxide released by the battery. Once harmful gases are detected, If the gas concentration exceeds the standard, the module will immediately send an alarm signal to the main control and processing module to prevent serious accidents such as thermal runaway or explosion of the battery. This feature is particularly important for application scenarios such as new energy vehicles, because the battery may produce harmful gases during the charging and discharging process. If it is not detected and processed in time, it will pose a threat to the safety of personnel and vehicles. Finally, the establishment of the battery health status assessment submodule provides a scientific basis for battery maintenance and management. This module is based on the data of the current and voltage detection submodule, combined with the battery management algorithm, to evaluate the health indicators of the battery such as the remaining capacity and internal resistance change. Through continuous monitoring and evaluation, the system can obtain data on the battery life and performance degradation trend, so as to provide users with suggestions for battery replacement or maintenance. This feature helps to extend the battery life and reduce the user's operation and maintenance costs, and also helps to improve the stability and reliability of the entire system.

[0049] In a preferred embodiment, the present invention can be further configured as follows: each submodule has a built-in calibration algorithm, which can be automatically calibrated regularly or according to user instructions to detect the accuracy and stability of the data, effectively compensate for errors in the case of temperature changes, sensor aging, etc., and improve the detection accuracy. The submodules are connected and communicated using standard interfaces and communication protocols. Users can flexibly add or replace submodules according to actual needs, such as adding new gas detection sensors, upgrading humidity sensors, etc. At the same time, each submodule supports remote software upgrades, and users can receive and install the latest software updates through the information transmission module to obtain more powerful detection functions and higher detection accuracy. These calibration algorithms can be automatically calibrated regularly or according to user instructions, thereby ensuring that the system can effectively compensate for errors and improve detection accuracy in complex environments such as temperature changes and sensor aging. This feature is crucial to ensuring the reliability of detection data, because accurate detection data is the basis for the system to make correct decisions. Through the built-in calibration algorithm, the system can self-adjust and optimize to adapt to different environments and working conditions, thereby providing more stable and reliable detection results. Results, Secondly, each sub-module uses standard interfaces and communication protocols for connection and communication. This design makes the system highly flexible and scalable. Users can flexibly add or replace sub-modules according to actual needs, such as adding new gas detection sensors, upgrading humidity sensors, etc. This modular design not only simplifies the system maintenance and upgrade process, but also enables the system to be continuously upgraded with the advancement of technology, thereby maintaining its advancement and competitiveness. In addition, each sub-module supports the feature of remote software upgrade, which further improves the maintainability and ease of use of the system. Users can receive and install the latest software updates through the information transmission module to obtain more powerful detection functions and higher detection accuracy. This feature enables the system to continuously adapt to new application scenarios and needs, and also provides users with a more convenient and efficient upgrade method. Through remote software upgrades, the system can continuously optimize and improve its functions, thereby providing more comprehensive and accurate detection services. It should also be noted that each module is integrated on a PCB board, which greatly reduces costs. The main control chip uses STM32F103C8T6, and the main control unit circuit is as follows Figure 1 As shown, it includes a crystal oscillator circuit, a reset circuit, a startup circuit, a voltage output circuit, and a SWD download circuit. The 5V to 3.3V step-down module circuit is shown in Figure 3 shown.

[0050] In a preferred embodiment, the present invention can be further configured as follows: the main control and processing module adopts an STM32F103C8T6 microcontroller, receives data from each detection module, and performs intelligent algorithm analysis and data processing. When it is determined that the battery state is abnormal or the fire warning condition is reached, the main control unit will immediately issue a warning instruction. The main control and processing module also has a built-in large-capacity memory for storing historical detection data, supporting data playback and trend analysis. At the same time, the main control and processing module has a built-in time series analysis algorithm to predict battery performance changes based on historical data and predict potential problems of future battery performance to provide preventive maintenance suggestions. The main control and processing module adopts an STM32F103C8T6 microcontroller, which can efficiently receive and process data from each detection module. Through the built-in intelligent algorithm, the main control and processing module can perform in-depth analysis of the data, accurately determine whether the battery state is abnormal, or quickly issue a warning instruction when the fire warning condition is reached. This feature significantly improves the response speed and accuracy of the system, allowing the system to intervene in the early stages of battery problems, effectively avoiding potential safety hazards. In addition, the main control and processing module also has a built-in large-capacity memory. This design enables the system to store a large amount of historical detection data. These data not only support data playback and trend analysis, but also provide important reference for subsequent maintenance and management. Through the analysis of historical data, users can more intuitively understand the changes in battery performance and thus formulate a more scientific and reasonable maintenance plan. The main control and processing module also has a built-in time series analysis algorithm. This algorithm can predict changes in battery performance based on historical data, thereby discovering potential problems with future battery performance in advance. Through this function, the system can provide users with preventive maintenance suggestions, allowing users to carry out targeted processing before problems occur, effectively extending the battery life and reducing operation and maintenance costs.

[0051] In a preferred embodiment, the present invention can be further configured as follows: a fault diagnosis algorithm is also built into the main control and processing module for real-time analysis of the data uploaded by each detection module, identification of abnormal data or communication failures, and automatic attempts to isolate and self-repair the fault, such as restarting the faulty module or adjusting communication parameters. If the fault cannot be self-repaired, the fault log is recorded and sent to the user through the information transmission module so that the user can take maintenance measures in time. An intelligent early warning algorithm based on machine learning is also integrated in the main control and processing module to learn the normal distribution and change trend of battery performance data, automatically identify abnormal patterns, and trigger different levels of early warning signals according to the severity and urgency of the abnormal patterns, including but not limited to text messages, emails, APP push, etc., so as to more accurately remind users to pay attention to the battery status. A remote configuration interface is provided in the main control and processing module, and users can remotely adjust system parameters such as early warning thresholds, sampling frequencies, etc. through the information transmission module without on-site operation. By analyzing the data uploaded by each detection module in real time, abnormal data or communication failures can be accurately identified, and fault isolation and self-repair can be automatically attempted, such as restarting the faulty module or adjusting communication parameters. This function not only reduces the system downtime caused by faults, but also reduces The cost incurred by users due to system maintenance is reduced. When the fault cannot be self-repaired, the system will record the fault log and send it to the user through the information transmission module so that the user can take maintenance measures in time. This design ensures that users can quickly understand the system status and make correct decisions. In addition, the main control and processing module also integrates an intelligent early warning algorithm based on machine learning. This algorithm can automatically identify abnormal patterns by learning the normal distribution and change trend of battery performance data, and trigger different levels of early warning signals according to the severity and urgency of the abnormal pattern. These early warning signals include but are not limited to text messages, emails, APP push, etc., which can more accurately remind users to pay attention to the battery status. This function not only improves the accuracy of the system's early warning, but also enhances the user experience, allowing users to grasp the battery status anytime and anywhere and take preventive measures in time. The main control and processing module provides a remote configuration interface. Users can remotely adjust system parameters such as early warning thresholds and sampling frequencies through the information transmission module without on-site operation. This design not only improves the flexibility and scalability of the system, but also reduces the risks and costs of users due to on-site operations. Users can adjust system parameters at any time according to actual needs to adapt to different application scenarios and needs.

[0052] In a preferred embodiment, the present invention can be further configured as follows: the information transmission module adopts the WL6601 Bluetooth module, follows the Modbus protocol, and sends the warning information to the user's mobile client. The information transmission module also extends to support MQTT and HTTP Internet of Things communication protocols to adapt to different user environments and system integration requirements. Users can select the optimal communication protocol according to actual conditions to ensure that the warning information can be efficiently and stably transmitted to the user's mobile client. The information transmission module also includes a multi-terminal synchronization and push submodule to synchronously push the warning information to multiple user mobile clients to meet the needs of different user roles and permissions. For example, system administrators, operation and maintenance personnel, and car owners can all receive warning information in real time through the mobile client so that they can take timely countermeasures. In addition, the module also supports custom push strategies, such as intelligently selecting the push method and time according to the user's preferences and time periods to improve user experience. The WL6601 Bluetooth module is adopted and follows the Modbus protocol. This design enables the warning information to be efficiently and stably sent to the user's mobile phone. Client, at the same time, the information transmission module also extends support for MQTT and HTTP IoT communication protocols. This feature greatly improves the compatibility and flexibility of the system, allowing the system to adapt to different user environments and system integration requirements. Users can choose the optimal communication protocol according to actual conditions, thereby ensuring that the warning information can be transmitted to the user's mobile client in the most appropriate way and under the best conditions. In addition, the information transmission module also includes multi-terminal synchronization and push sub-modules. This design meets the needs of different user roles and permissions. For example, system administrators, operation and maintenance personnel, and car owners can all receive warning information in real time through mobile clients, so that they can quickly understand the system status and take timely countermeasures. This feature not only improves the response speed of the system, but also enhances the security and reliability of the system. The information transmission module also supports custom push strategies. Users can intelligently select push methods and times according to their preferences and time periods. This design not only improves the user experience, but also enables the system to more accurately meet user needs and reduce unnecessary interruptions and redundant information, such as Figure 1 The WL6601-TC Bluetooth module is shown, with its PWM port connected to chip PA0, ADC port connected to PA2, and transceiver port connected to PA9 and PA10.

[0053] In a preferred embodiment of the present invention, the warning and indication module can be further configured as follows: the warning and indication module adopts a passive buzzer, and emits a prompt sound or a warning sound according to the instructions of the main control and processing module, wherein the warning and indication module also includes a multi-level alarm mechanism module, and the multi-level alarm mechanism module sets different alarm levels and sound modes according to the urgency of the early warning information, such as a soft prompt sound for a minor abnormality and a rapid warning sound for a serious abnormality, so that the user can take corresponding countermeasures according to the alarm level. The passive buzzer is adopted. This design not only simplifies the complexity of the system and reduces the cost, but also ensures that the system can emit clear and recognizable sound prompts in various environments. The module also integrates a multi-level alarm mechanism module. This feature greatly improves the alarm efficiency of the system. The multi-level alarm mechanism module sets different alarm levels and sound modes according to the urgency of the early warning information. In the case of minor abnormalities, the system emits a soft prompt sound to remind users to pay attention and check related equipment or parameters; in the case of serious abnormalities, the system emits a rapid warning sound to arouse the user's high alertness and prompt the user to take immediate countermeasures. This hierarchical alarm method not only helps users judge the severity of the problem according to the alarm level, but also effectively avoids the safety hazards caused by false alarms or missed alarms. In addition, the design of the multi-level alarm mechanism module also takes into account the different needs and preferences of users. By flexibly setting the alarm level and sound mode, the system can more accurately meet the actual needs of users and improve user satisfaction and trust. Figure 2 As shown, the main control chip sends a signal to the buzzer through PB5, and the buzzer emits a prompt sound or a warning sound according to the sent information.

[0054] In a preferred embodiment of the present invention, it can be further configured as follows: a built-in memory in the warning and indication module is used to record detailed information of each alarm, including alarm time, alarm level, abnormal parameter value, user response, etc. The user can query the alarm history record through the mobile client or system interface to understand the past status of the battery, analyze the alarm trend, and take corresponding preventive measures. In addition, the alarm history record can also be used as a basis for system maintenance and improvement, helping engineers optimize algorithms and improve system accuracy. Different alarm priorities are set in the warning and indication module for different types of abnormalities and early warning information. The system can automatically judge and adjust the urgency and sound mode of the alarm according to the preset priority rules. For example, when a fault is detected, When smoke or temperature rises sharply, the system may immediately trigger the highest level of alarm to ensure that users can take countermeasures quickly. At the same time, users can also customize alarm priority rules through the mobile client to meet the needs of different scenarios. This flexible priority management mechanism helps to improve the system's response speed and user satisfaction. The warning and indication module has a built-in memory. This design enables the system to record detailed information for each alarm, including alarm time, alarm level, abnormal parameter values, and user response. This function not only provides users with the convenience of querying alarm history records, enabling users to fully understand the past status of the battery, analyze alarm trends, and take corresponding preventive measures accordingly, but also greatly enhances the traceability of the system. The user can query the alarm history records through the mobile client or system interface, and can intuitively see the changes in the battery status at different time points, so as to more accurately understand the battery operation status. For users, this means that potential problems can be discovered earlier, failures can be avoided, and the battery life and safety can be improved. At the same time, the alarm history records can also serve as an important basis for system maintenance and improvement. Engineers can analyze these records to understand the system's operating status, find deficiencies in the algorithm, and then optimize the algorithm to improve the accuracy and stability of the system. This data-based maintenance and improvement method enables the system to continue to evolve and better adapt to various complex scenarios. In addition, the warning and indication module also sets different alarms. Priority: The system can automatically determine and adjust the urgency and sound mode of the alarm according to preset priority rules. For example, when serious abnormal conditions such as smoke or a sharp rise in temperature are detected, the system will immediately trigger the highest level of alarm to ensure that users can quickly take countermeasures to prevent the situation from further deteriorating. This intelligent priority management mechanism not only improves the response speed of the system, but also enhances the user's sense of security and trust. Users can also customize alarm priority rules through the mobile client. This design enables the system to flexibly adjust alarm strategies according to the needs of different scenarios to meet the personalized needs of users. This flexibility and customizability enable the system to better serve users and improve user satisfaction and loyalty.

[0055] The system consists of four core parts: detection module, main control and processing module, information transmission module, and warning and indication module. The detection module is the "eye" of the system. It contains multiple sub-modules, such as current and voltage detection sub-module, smoke detection sub-module, temperature detection sub-module, etc. These sub-modules use advanced sensor technology and circuit design to accurately collect various status information of the battery. For example, the current and voltage detection sub-module uses a high-voltage DC bus voltage sampling circuit, combined with components such as optocouplers, operational amplifiers and power chips to achieve real-time monitoring of battery current and voltage; the smoke detection sub-module uses a smoke detection chip and an optical maze structure to achieve sensitive detection of smoke; the temperature detection sub-module uses a temperature sensor to convert temperature information into electrical signals for transmission;

[0056] The main control and processing module is the "brain" of the system. It receives data from the detection module and performs intelligent algorithm analysis and data processing. The module uses a high-performance microcontroller, such as STM32F103C8T6, which can efficiently process large amounts of data and determine in real time whether the battery status is abnormal or reaches the fire warning condition. Once an abnormality is detected, the main control and processing module will immediately issue a warning instruction and trigger the corresponding alarm mechanism. At the same time, the module also has a built-in large-capacity memory for storing historical detection data, supporting data playback and trend analysis, so that users can better understand the performance changes of the battery;

[0057] The information transmission module is the "nerve" of the system. It is responsible for sending warning information to the user's mobile client. The module uses advanced communication technologies and protocols, such as the WL6601 Bluetooth module and Modbus protocol, as well as MQTT and HTTP IoT communication protocols, to ensure that warning information can be efficiently and stably transmitted to the user's mobile phone. In addition, the information transmission module also supports multi-terminal synchronization and push functions, as well as customized push strategies to meet the needs of different user roles and permissions, and improve user experience;

[0058] The warning and indication module is the "voice" of the system. It issues prompt sounds or warning sounds according to the instructions of the main control and processing modules. The module uses a passive buzzer as a sound-generating element and has a built-in multi-level alarm mechanism module. Different alarm levels and sound modes are set according to the urgency of the warning information. For example, a soft prompt sound is issued in the case of a minor abnormality, and a rapid warning sound is issued in the case of a serious abnormality, so that users can take corresponding countermeasures according to the alarm level. In addition, the warning and indication module also has a built-in memory to record detailed information of each alarm, including alarm time, alarm level, abnormal parameter value, user response, etc. This information can be used as a basis for system maintenance and improvement, helping engineers optimize algorithms and improve system accuracy.

[0059] In summary, the current, voltage, smoke and temperature detection system realizes real-time monitoring and early warning functions of key parameters of vehicle batteries through highly integrated hardware modules and intelligent software algorithms. The system not only improves the safety and reliability of the battery, but also provides users with more convenient and intelligent battery management services.

[0060] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0061] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Current, voltage, smoke and temperature detection system, characterized in that: include: Detection module, main control and processing module, information transmission module and warning and indication module; The detection module is used to monitor key parameters of the vehicle battery in real time, including current, voltage, smoke and temperature; The main control and processing module is used to receive data from each detection module, perform intelligent algorithm analysis and data processing, determine whether the fire warning conditions are met, and issue corresponding instructions; The information transmission module is used to send the system warning information to the user's mobile client, so that the user can understand the battery status in real time; The warning and indication module is used to issue a prompt sound or a warning sound according to the instructions of the main control and processing module to remind the user to pay attention to the battery status and take corresponding measures.

2. The current, voltage, smoke and temperature detection system according to claim 1, characterized in that: The detection module includes the following submodules: The current and voltage detection submodule adopts the sampling circuit of the high-voltage DC bus voltage, and uses the HCNR200 linear optocoupler, OPA2171 operational amplifier, and MC34063ADR2G power chip components to achieve accurate detection of the battery current and voltage; The smoke detection submodule uses the BL5980 smoke detection chip, combined with an optical maze structure, and powered by a button battery to achieve real-time monitoring of smoke. When smoke is detected, the module will immediately transmit the information to the main control and processing module so that the system can respond in time; The temperature detection submodule uses the MLX90614 temperature sensor to convert temperature information into electrical signals and transmit them to the main control and processing module to monitor and obtain the battery temperature in real time.

3. The current, voltage, smoke and temperature detection system according to claim 2, characterized in that: The detection module also includes: a humidity detection submodule, a gas detection submodule and a battery health status assessment submodule; The humidity detection submodule adopts HTU21D humidity sensor to monitor the humidity of battery compartment or surrounding environment in real time, and obtains early warning of potential risks such as battery corrosion and short circuit by monitoring humidity; The gas detection submodule integrates an MQ-2 combustible gas sensor to detect harmful gases such as hydrogen and carbon monoxide released by the battery. If the concentration of harmful gases exceeds the standard, the module immediately sends an alarm signal to the main control and processing module to prevent thermal runaway or explosion of the battery. The battery health status assessment submodule evaluates the battery's remaining capacity, internal resistance change and other health indicators based on the data from the current and voltage detection submodule in combination with the battery management algorithm, and obtains data on the battery's life and performance degradation trend through continuous monitoring and evaluation.

4. The current, voltage, smoke and temperature detection system according to claim 3, characterized in that: Each submodule has a built-in calibration algorithm and can automatically calibrate periodically or according to user instructions to detect the accuracy and stability of the data. The submodules are connected and communicated using standard interfaces and communication protocols, and users can flexibly add or replace submodules according to actual needs.

5. The current, voltage, smoke and temperature detection system according to claim 1, characterized in that: The main control and processing module adopts the STM32F103C8T6 microcontroller, receives data from each detection module, and performs intelligent algorithm analysis and data processing. When it is determined that the battery status is abnormal or reaches the fire warning condition, the main control unit will immediately issue a warning instruction. The main control and processing module also has a built-in large-capacity memory for storing historical detection data, supporting data playback and trend analysis. At the same time, the main control and processing module has a built-in time series analysis algorithm to predict battery performance changes based on historical data, predict potential problems with future battery performance, and provide preventive maintenance suggestions.

6. The current, voltage, smoke and temperature detection system according to claim 5, characterized in that: The main control and processing module also has a built-in fault diagnosis algorithm for real-time analysis of the data uploaded by each detection module, identifying abnormal data or communication failures, and automatically attempting to isolate and self-repair the fault. If the fault cannot be self-repaired, the fault log is recorded and sent to the user through the information transmission module. The main control and processing module also integrates an intelligent early warning algorithm based on machine learning to learn the normal distribution and change trend of battery performance data, automatically identify abnormal patterns, and trigger different levels of early warning signals according to the severity and urgency of the abnormal patterns, including but not limited to text messages, emails, APP push, etc., so as to more accurately remind users to pay attention to the battery status. The main control and processing module provides a remote configuration interface, and users can remotely adjust system parameters such as early warning thresholds, sampling frequency, etc. through the information transmission module.

7. The current, voltage, smoke and temperature detection system according to claim 1, characterized in that: The information transmission module adopts the WL6601 Bluetooth module and follows the Modbus protocol to send the warning information to the user's mobile client. The information transmission module also extends support for MQTT and HTTP Internet of Things communication protocols to adapt to different user environments and system integration requirements. Users can choose the optimal communication protocol according to actual conditions to ensure that the warning information can be transmitted to the user's mobile client. The information transmission module also includes a multi-terminal synchronization and push sub-module to synchronously push the warning information to multiple user mobile clients.

8. The current, voltage, smoke and temperature detection system according to claim 1, characterized in that: The warning and indication module adopts a passive buzzer to emit a prompt sound or a warning sound according to the instructions of the main control and processing module. The warning and indication module also includes a multi-level alarm mechanism module. The multi-level alarm mechanism module sets different alarm levels and sound modes according to the urgency of the warning information.

9. The current, voltage, smoke and temperature detection system according to claim 8, characterized in that: The warning and indication module has a built-in memory for recording detailed information of each alarm, including alarm time, alarm level, abnormal parameter values, user response, etc. Users can query the alarm history through the mobile client or system interface to understand the past status of the battery, analyze the alarm trend, and take corresponding preventive measures. In addition, different alarm priorities are set in the warning and indication module, and the system can automatically judge and adjust the urgency and sound mode of the alarm according to the preset priority rules.

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