Battery monitoring management system for logistics electronic lock

Abstract

The invention discloses a battery monitoring management system for a logistics electronic lock, which comprises a main control module electrically connected with a sensor unit, a battery management unit and a communication unit, and the sensor unit comprises a temperature sensor and a pressure sensor; the sensor unit further comprises an acceleration sensor or a vibration sensor, and event recognition is executed through the acceleration sensor or the vibration sensor. Battery extrusion monitoring: triggering extrusion timing when the extrusion force reaches an extrusion force threshold value, resetting the extrusion timing if the extrusion force is lower than the extrusion force threshold value during the extrusion timing period, and triggering a battery extrusion alarm if the extrusion timing is completed; equipment collision and falling monitoring: event identification comprises a common event and a dangerous event, and if the event is identified as a dangerous event, triggering a battery impact alarm; and when the alarm is triggered, the system cuts off the battery output loop and outputs an alarm signal. The battery safety risk caused by collision is avoided, and the operation and maintenance efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of battery management technology, and in particular to a battery monitoring and management system for logistics electronic locks. Background Technology

[0002] As the core power source of intelligent logistics electronic locks, the battery's lifespan and working condition directly determine the equipment's availability. Sudden battery failures (such as power outages or spontaneous combustion) can lead to electronic lock malfunctions, interrupted cargo monitoring, and even transportation safety accidents. Furthermore, logistics companies need to maintain a large number of dispersed electronic locks; the traditional "post-failure repair" model is inefficient and costly, necessitating preventative maintenance through early monitoring and management of battery status.

[0003] Existing electronic locks for logistics have the following defects: 1. Lack of impact and spontaneous combustion protection mechanism; 2. Lack of battery health function; 3. Lack of refined charging management and parameter monitoring; 4. Isolated battery data and low operation and maintenance efficiency.

[0004] Therefore, there is an urgent need for a battery monitoring and management system for logistics electronic locks that can solve one or more of the above problems. Summary of the Invention

[0005] To address one or more problems existing in the prior art, this invention provides a battery monitoring and management system for logistics electronic locks. The technical solution adopted by this invention to solve the above problems is: a battery monitoring and management system for logistics electronic locks, the system comprising: a main control module, the main control module being electrically connected to a sensor unit, a battery management unit, and a communication unit; the sensor unit including: a temperature sensor and a pressure sensor; the battery management unit for performing charging management and power calculation; the temperature sensor for monitoring battery temperature; and the pressure sensor for monitoring the compressive force applied to the battery. The sensor unit further includes an acceleration sensor or a vibration sensor. The acceleration sensor is used to monitor the acceleration of the device, and the vibration sensor is used to monitor the vibration frequency and amplitude of the device. Event recognition is performed through the acceleration sensor or the vibration sensor. Battery squeeze monitoring triggers a squeeze timer when the squeeze force reaches a squeeze force threshold. If the squeeze force is lower than the squeeze force threshold during the squeeze timer, the squeeze timer is reset. If the squeeze timer is completed, a battery squeeze alarm is triggered. Equipment collision and drop monitoring, the event identification includes ordinary events and dangerous events, if the event is identified as a dangerous event, a battery impact alarm is triggered; Circuit disconnection: When any one or more alarms are triggered, the system disconnects the battery output circuit and outputs an alarm signal.

[0006] In some embodiments, the system further includes: battery temperature monitoring; triggering a battery high temperature alarm when the battery temperature is ≥ a high temperature threshold; triggering a battery low temperature warning when the battery temperature is ≤ a low temperature threshold; and triggering a temperature change anomaly warning when the change in battery temperature within a unit time is ≥ a temperature change threshold, wherein the temperature change anomaly warning includes a temperature rise anomaly warning and a temperature drop anomaly warning.

[0007] In some embodiments, when the acceleration sensor is used, the event recognition includes: S010, Data Acquisition: The main control module reads the triaxial acceleration data of the accelerometer in real time. The triaxial acceleration data includes: x-axis acceleration a_x, y-axis acceleration a_y, and z-axis acceleration a_z. S020, Data Processing: Calculate the instantaneous composite acceleration a_combined, perform high-pass filtering on the instantaneous composite acceleration to obtain the dynamic acceleration a_dynamic, where... ; S030, Impact Energy Calculation: Calculate the square integral or root mean square of the dynamic acceleration within a time window and use it as a measure of the first impact energy; or calculate the maximum absolute value of the dynamic acceleration within a time window and use it as a measure of the second impact energy. S040, Threshold determination: If the first impact energy or the second impact energy is greater than a preset collision threshold, the event is identified as a dangerous event.

[0008] In some embodiments, the system further includes: information feedback and backup, wherein the main control module feeds back the data collected by the battery management unit and the sensor unit to the background and backs it up to the local storage module.

[0009] In some embodiments, the system further includes: battery information monitoring, which monitors the current battery level, health status, and number of charging cycles through the battery management unit, implements charging management through the battery management unit, and establishes a battery capacity-voltage-current-cycle number correlation model through multiple rounds of charge and discharge tests. The battery capacity-voltage-current-cycle number correlation model includes: battery capacity and cycle number curves, and a battery voltage-power reference comparison table.

[0010] Furthermore, the battery information monitoring is calculated using the ampere-hour integration method. The battery power correction method used for battery information monitoring is: integral calculation. The absolute deviation from the reference SOC, if the deviation is ≤5%, then no compensation is required, making the current SOC = If the deviation value is greater than 5%, compensation is performed to make the current SOC equal to the reference SOC, and this reference SOC is used as the initial SOC value for the next round of ampere-hour integration calculation. By consulting the battery voltage-capacity reference comparison table, the voltage range in which the current battery open-circuit voltage falls is obtained, and the baseline SOC is calculated using a linear interpolation formula.

[0011] Furthermore, the method for counting the number of cycles in the battery information monitoring is as follows: the number of cycles is denoted as N. If conditions 1 and 2 are met, N is automatically incremented by 1 and updated to the battery capacity-voltage-current-cycle number association model. Condition 1: During the charging phase, if the SOC increases from ≤20% to ≥95%, and the total charging amount is ≥0.8... ; Condition 2: During the discharge phase, the State of Charge (SOC) decreases from ≥95% to ≤20%, and the total discharge amount is ≥0.8. .

[0012] Furthermore, the charging management method for monitoring battery information includes: Temperature detection: If the battery temperature is lower than the preset minimum charging temperature or higher than the preset maximum charging temperature before or during battery charging, charging will be stopped. Trickle charging: If the battery voltage is lower than a first preset value during battery charging, a preset small current value is used to perform slow charging. Constant current charging: If the battery voltage is within the first preset range during battery charging, fast charging is performed using the preset maximum current value. Constant voltage charging: During battery charging, if the battery voltage is greater than the second preset value, the preset voltage value is used for constant voltage charging. Charging stops when the battery current is less than or equal to a preset current value during charging. In this case, the battery is considered fully charged and charging stops.

[0013] Furthermore, the battery health status (SOH) monitored by the battery information is calculated using the capacity ratio method or the internal resistance detection method.

[0014] In some embodiments, the system further includes a cloud management unit, which controls and performs data interaction with the main control module through the communication unit.

[0015] The technical advantages achieved by this invention are as follows: Timely disconnection of the battery output circuit is achieved through battery compression monitoring, equipment collision and drop monitoring, effectively avoiding battery safety risks caused by impacts and ensuring safe logistics transportation; real-time monitoring of various battery information ensures the accuracy and timeliness of information such as battery power, capacity, and health, and provides temperature monitoring and charge / discharge protection to extend battery life; real-time interaction between the local electronic lock and the cloud allows maintenance personnel to monitor battery information in the background, enabling them to schedule replacement of aging batteries in advance, improving maintenance response efficiency and reducing maintenance costs. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the hardware framework of the present invention. Detailed Implementation

[0017] To make the above-mentioned objects, features, and advantages of the present invention more readily understood, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of the present invention. However, the present invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0018] This invention discloses a battery monitoring and management system for logistics electronic locks, combined with Figure 1 As shown, the system includes: a main control module, which is electrically connected to a sensor unit, a battery management unit, and a communication unit; the sensor unit includes a temperature sensor and a pressure sensor; the battery management unit is used to perform charging management and power calculation; the temperature sensor is used to monitor the battery temperature; and the pressure sensor is used to monitor the pressure applied to the battery. The sensor unit also includes an acceleration sensor or a vibration sensor. The acceleration sensor is used to monitor the acceleration of the equipment, and the vibration sensor is used to monitor the vibration frequency and amplitude of the equipment. Event recognition is performed through the acceleration sensor or the vibration sensor. The use of the vibration sensor can effectively reduce costs, but the detection accuracy will be reduced. It is suitable for general logistics scenarios where the accuracy requirements are not high. Battery squeeze monitoring triggers a squeeze timer (e.g., accumulating 10 seconds) when the squeeze force reaches a squeeze force threshold. If the squeeze force is lower than the squeeze force threshold during the squeeze timer, the squeeze timer is reset. If the squeeze timer is completed, a battery squeeze alarm is triggered. Equipment collision and drop monitoring, the event identification includes ordinary events and dangerous events, if the event is identified as a dangerous event, a battery impact alarm is triggered; Circuit cut-off: When any one or more alarms are triggered, the system cuts off the battery output circuit and outputs an alarm signal to protect the battery and equipment and prevent battery output runaway accidents. Information feedback and backup: The main control module feeds back the data collected by the battery management unit and the sensor unit to the background and backs it up to the local storage module to achieve remote monitoring and data backup, thereby improving the reliability of operation and maintenance. The cloud management unit controls and interacts with the main control module through the communication unit. Maintenance personnel can monitor, manage, and control multiple logistics electronic locks through the cloud management unit, improving maintenance efficiency and intuitiveness.

[0019] It should be noted that the communication unit includes a 4G communication module, an NB-IoT module, or other wireless communication modules; the battery management unit includes a charging management chip and a power metering chip to realize charging and discharging management, charging and discharging protection, and monitoring of battery voltage, current, and power consumption.

[0020] Specifically, the system also includes: battery temperature monitoring, triggering a battery high temperature alarm when the battery temperature is ≥ a high temperature threshold (e.g., 60 degrees Celsius), triggering a battery low temperature warning when the battery temperature is ≤ a low temperature threshold (e.g., 0 degrees Celsius), and indicating that the battery is in a state of performance degradation or unsuitable for charging environment when the battery low temperature warning is triggered; A temperature change anomaly warning is triggered when the change in battery temperature within a unit time (e.g., sampling interval ΔT = 1 min) is greater than or equal to a temperature change threshold (e.g., 2 °C / min). The temperature change anomaly warning includes a temperature rise anomaly warning and a temperature drop anomaly warning to indicate the thermal runaway state of the battery, thereby providing early warning of battery accidents and reference data for subsequent analysis of the cause of the failure. The temperature change threshold can be set with multiple thresholds (e.g., 2 °C / min, 10 °C / min) to form different warning levels. When a high warning level is triggered, the temperature change anomaly warning is converted into a temperature change anomaly alarm. The temperature change anomaly alarm includes a temperature rise anomaly alarm and a temperature drop anomaly alarm, indicating that the battery is in a rapid heating / cooling state and its output or input circuit needs to be cut off in time. When the battery temperature begins to drop from the high temperature threshold that triggers the battery high temperature alarm, the battery temperature needs to drop to a recovery threshold (e.g., 35°C) before the system cancels the battery high temperature alarm, thus avoiding frequent alarm triggering when the battery temperature is near the high temperature threshold.

[0021] It should be noted that when using the vibration sensor, the method for distinguishing between ordinary events and dangerous events in event identification can be as follows: acquire vibration frequency and amplitude data within a unit time, compare them with a pre-set scene frequency threshold / range and scene amplitude threshold / range, and then determine whether the current state is an ordinary event or a dangerous event. The vibration frequency and amplitude data need to be filtered before comparison and judgment to remove noise and invalid frequency and amplitude data that do not affect the comparison and identification (pre-set data exclusion range).

[0022] Specifically, when using the acceleration sensor, the event recognition includes: S010, Data Acquisition: The main control module reads the triaxial acceleration data of the accelerometer in real time. The triaxial acceleration data includes: x-axis acceleration a_x, y-axis acceleration a_y, and z-axis acceleration a_z. S020, Data Processing: Calculate the instantaneous composite acceleration a_combined, perform high-pass filtering on the instantaneous composite acceleration to obtain the dynamic acceleration a_dynamic, where... ; S030, Impact Energy Calculation: Calculate the square integral or root mean square (RMS) of dynamic acceleration within a time window (e.g., 50ms) and use it as a measure of the first impact energy; or calculate the maximum absolute value of dynamic acceleration within a time window and use it as a measure of the second impact energy. S040, Threshold judgment: If the first impact energy or the second impact energy is greater than a preset collision threshold, and there are two sets of preset collision thresholds that are compared with the first impact energy and the second impact energy respectively, then the event is identified as a dangerous event and the battery output needs to be cut off in time to protect the equipment. The above thresholds are used to distinguish between dangerous events and ordinary events, thereby differentiating between events such as normal braking, falls and violent impacts, reducing the probability of false alarms and timely cutting off battery output to protect the equipment. The thresholds are calibrated based on common impact scenarios in logistics and transportation.

[0023] Specifically, the system also includes: battery information monitoring, which monitors the current battery level, health status and number of charging cycles through the battery management unit, implements charging management through the battery management unit, and establishes a battery capacity-voltage-current-cycle number correlation model through multiple rounds of charge and discharge tests. The battery capacity-voltage-current-cycle number correlation model includes: battery capacity and cycle number curves, and a battery voltage-power reference comparison table.

[0024] The battery health status (SOH) monitored by the battery information is calculated using either the capacity ratio method or the internal resistance detection method.

[0025] The charging management method for monitoring battery information includes: temperature detection; if the battery temperature is less than the preset minimum charging temperature T_min or greater than the preset maximum charging temperature T_max before or during battery charging, then charging is stopped. Trickle charging: If the battery voltage is lower than a first preset value (e.g., 3.0V) during battery charging, a preset low current value will be used to perform slow charging. Constant current charging: During battery charging, if the battery voltage is in the first preset range (e.g., 3.0V≤V<4.2V), then fast charging is performed using the preset maximum current value; Constant voltage charging: During battery charging, if the battery voltage is greater than the second preset value (e.g., V≥4.15V or V≈4.2V), then the preset voltage value is used for constant voltage charging. Charging stops when the battery current is less than or equal to a preset current value (e.g., I≤0.05mA) during battery charging. The battery is then considered fully charged and charging stops.

[0026] Specifically, the battery information monitoring is calculated using the ampere-hour integration method. The formula is: , The percentage of SOC calculated by integrating at time t. Initial SOC, the initial SOC is the result of the previous period or the baseline SOC. The current actual capacity of the battery is obtained by querying the battery capacity versus cycle count curve (querying by cycle count). For real-time detection of discharge current, For real-time monitoring of the charging current, Let t be the initial time and t be the current time, i.e., the integral calculation. Sufficient charge during the period; The battery power correction method used for battery information monitoring is: integral calculation. The absolute deviation from the reference SOC, if the deviation is ≤5%, then no compensation is required, making the current SOC = If the deviation value is greater than 5%, compensation is performed to make the current SOC equal to the reference SOC, and this reference SOC is used as the initial SOC value for the next round of ampere-hour integration calculation. Query the battery voltage-capacity reference comparison table to obtain the voltage range where the current battery open circuit voltage is located, and use the linear interpolation formula to calculate the baseline SOC; The calculation formula is: Baseline SOC = SOC_low + (V_measured − V_low) / (V_high − V_low) × (SOC_high − SOC_low), where V_measured is the current battery open-circuit voltage, the voltage range of the current battery open-circuit voltage is V_low ≤ V_measured ≤ V_high, SOC_low is the corresponding charge value of V_low, and SOC_high is the corresponding charge value of V_high.

[0027] The method for calculating the number of cycles in the battery information monitoring is as follows: the number of cycles is denoted as N. If conditions 1 and 2 are met, N is automatically incremented by 1 and updated to the battery capacity-voltage-current-cycle number association model. Condition 1: During the charging phase, if the SOC increases from ≤20% to ≥95%, and the total charging amount is ≥0.8... ; Condition 2: During the discharge phase, the State of Charge (SOC) decreases from ≥95% to ≤20%, and the total discharge amount is ≥0.8. .

[0028] In summary, by monitoring battery compression, equipment collision, and drop, timely disconnection of the battery output circuit is achieved, effectively avoiding battery safety risks caused by impacts and ensuring safe logistics transportation. Real-time monitoring of various battery information ensures the accuracy and timeliness of information such as battery power, capacity, and health, and provides temperature monitoring and charge / discharge protection to extend battery life. Real-time interaction between the local electronic lock and the cloud allows maintenance personnel to monitor battery information in the background, enabling them to schedule replacement of aging batteries in advance, improving maintenance response efficiency and reducing maintenance costs.

[0029] The embodiments described above are merely illustrative of one or more implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the appended claims.

Claims

1. A battery monitoring and management system for electronic locks in logistics, characterized in that, The system includes: a main control module, which is electrically connected to a sensor unit, a battery management unit, and a communication unit; the sensor unit includes a temperature sensor and a pressure sensor; the battery management unit is used to perform charging management and power calculation; the temperature sensor is used to monitor the battery temperature; and the pressure sensor is used to monitor the pressure applied to the battery. The sensor unit further includes an acceleration sensor or a vibration sensor. The acceleration sensor is used to monitor the acceleration of the device, and the vibration sensor is used to monitor the vibration frequency and amplitude of the device. Event recognition is performed through the acceleration sensor or the vibration sensor. Battery squeeze monitoring triggers a squeeze timer when the squeeze force reaches a squeeze force threshold. If the squeeze force is lower than the squeeze force threshold during the squeeze timer, the squeeze timer is reset. If the squeeze timer is completed, a battery squeeze alarm is triggered. Equipment collision and drop monitoring, the event identification includes ordinary events and dangerous events, if the event is identified as a dangerous event, a battery impact alarm is triggered; Circuit disconnection: When any one or more alarms are triggered, the system disconnects the battery output circuit and outputs an alarm signal.

2. The battery monitoring and management system for logistics electronic locks according to claim 1, characterized in that, Also includes: Battery temperature monitoring triggers a high-temperature alarm when the battery temperature is greater than or equal to a high-temperature threshold, a low-temperature warning when the battery temperature is less than or equal to a low-temperature threshold, and a temperature change anomaly warning when the change in battery temperature within a unit of time is greater than or equal to a temperature change threshold. The temperature change anomaly warning includes a temperature rise anomaly warning and a temperature drop anomaly warning.

3. The battery monitoring and management system for logistics electronic locks according to claim 1, characterized in that, When using the acceleration sensor, the event recognition includes: S010, Data Acquisition: The main control module reads the triaxial acceleration data of the accelerometer in real time. The triaxial acceleration data includes: x-axis acceleration a_x, y-axis acceleration a_y, and z-axis acceleration a_z. S020, Data Processing: Calculate the instantaneous composite acceleration a_combined, perform high-pass filtering on the instantaneous composite acceleration to obtain the dynamic acceleration a_dynamic, where... ; S030, Impact Energy Calculation: Calculate the square integral or root mean square of the dynamic acceleration within a time window and use it as a measure of the first impact energy; or calculate the maximum absolute value of the dynamic acceleration within a time window and use it as a measure of the second impact energy. S040, Threshold determination: If the first impact energy or the second impact energy is greater than a preset collision threshold, the event is identified as a dangerous event.

4. The battery monitoring and management system for logistics electronic locks according to claim 1, characterized in that, Also includes: Information feedback and backup: The main control module feeds back the data collected by the battery management unit and the sensor unit to the background and backs it up to the local storage module.

5. The battery monitoring and management system for logistics electronic locks according to claim 1, characterized in that, Also includes: Battery information monitoring involves monitoring the battery's current charge level, health status, and number of charging cycles through the battery management unit. Charging management is implemented through the battery management unit. A battery capacity-voltage-current-cycle number correlation model is established through multiple rounds of charge and discharge tests. The battery capacity-voltage-current-cycle number correlation model includes: battery capacity and cycle number curves, and a battery voltage-charge reference comparison table.

6. The battery monitoring and management system for logistics electronic locks according to claim 5, characterized in that, The battery information monitoring is calculated using the ampere-hour integral method. ; The battery power correction method used for battery information monitoring is: integral calculation. The absolute deviation from the reference SOC, if the deviation is ≤5%, then no compensation is required, making the current SOC = If the deviation value is greater than 5%, compensation is performed to make the current SOC equal to the reference SOC, and this reference SOC is used as the initial SOC value for the next round of ampere-hour integration calculation. By consulting the battery voltage-capacity reference comparison table, the voltage range in which the current battery open-circuit voltage falls is obtained, and the baseline SOC is calculated using a linear interpolation formula.

7. The battery monitoring and management system for logistics electronic locks according to claim 6, characterized in that, The method for counting the number of cycles in battery information monitoring is as follows: the number of cycles is denoted as N. If conditions 1 and 2 are met, N is automatically incremented by 1 and updated to the battery capacity-voltage-current-cycle number association model. Condition 1: During the charging phase, if the SOC increases from ≤20% to ≥95%, and the total charging amount is ≥0.8... ; Condition 2: During the discharge phase, the State of Charge (SOC) decreases from ≥95% to ≤20%, and the total discharge amount is ≥0.

8. .

8. The battery monitoring and management system for logistics electronic locks according to claim 5, characterized in that, The charging management method for monitoring battery information includes: Temperature detection: If the battery temperature is lower than the preset minimum charging temperature or higher than the preset maximum charging temperature before or during battery charging, charging will be stopped. Trickle charging: If the battery voltage is lower than a first preset value during battery charging, a preset small current value is used to perform slow charging. Constant current charging: If the battery voltage is within the first preset range during battery charging, fast charging is performed using the preset maximum current value. Constant voltage charging: During battery charging, if the battery voltage is greater than the second preset value, the preset voltage value is used for constant voltage charging. Charging stops when the battery current is less than or equal to a preset current value during charging. In this case, the battery is considered fully charged and charging stops.

9. The battery monitoring and management system for logistics electronic locks according to claim 5, characterized in that, The battery health status (SOH) monitored by the battery information is calculated using either the capacity ratio method or the internal resistance detection method.

10. The battery monitoring and management system for logistics electronic locks according to claim 1, characterized in that, Also includes: A cloud management unit, which controls and interacts with the main control module through the communication unit.

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