Method and device for using mobile power supply with low energy loss

Abstract

The invention belongs to the technical field of power supplies, and discloses a low-energy-loss use method and device for a mobile power supply, and the method comprises the steps: monitoring the current values of a plurality of temperature control regions of intelligent temperature control environmental sanitation clothes in real time, and calculating an average current value; determining a corresponding adjustment factor according to the average current value of each temperature control area so as to determine a dynamic current threshold value of each temperature control area; when the actual current value of the temperature control area is lower than the corresponding dynamic current threshold value, according to the current deviation between the actual current value and the dynamic current threshold value, the output voltage of the mobile power supply to the corresponding temperature control area is reduced according to a proportional control algorithm; when the actual current value of the temperature control area is higher than or equal to the corresponding dynamic current threshold value, maintaining or slightly increasing the output voltage of the mobile power supply to the corresponding temperature control area; the power supply efficiency of the mobile power supply to the intelligent temperature control environmental sanitation clothes with multiple independent temperature control areas can be improved, and the energy loss is reduced.

Description

Technical Field

[0001] This application relates to the field of power supply technology. Specifically, it relates to a method and device for low energy loss use of a mobile power supply. Background Art

[0002] In the cold winter, sanitation workers engaged in outdoor operations often face severe challenges in low-temperature environments. To ensure the operation comfort and health of sanitation workers in low-temperature environments, intelligent temperature-controlled sanitation uniforms have emerged. Such garments usually integrate multiple independently controllable temperature control zones, enabling precise fine-tuning of the temperature of different parts of the body according to the actual needs of the wearer, thereby providing necessary and personalized warmth support for sanitation workers. The intelligent temperature-controlled sanitation uniform can sensitively sense and respond to the heat demands of each temperature control zone, and dynamically adjust the heating current of each zone to achieve the best temperature control effect.

[0003] However, in terms of power supply, the current intelligent temperature-controlled sanitation uniforms on the market generally still adopt traditional mobile power supply solutions. When these mobile power supplies are working, they usually output power in a constant power mode. However, for multi-zone intelligent temperature-controlled sanitation uniforms, the actual heat demands of each zone are not constant, but are comprehensively affected by multiple complex factors such as fluctuations in environmental temperature, changes in operation intensity, and the body's own state, showing dynamic change characteristics. If the mobile power supply continuously outputs power in a constant power mode, its output characteristics will not be able to effectively match the dynamically changing heat demands of each zone of the intelligent temperature-controlled sanitation uniform. Especially in the application scenario where sanitation workers need to carry out long-term outdoor operations and the power resources are relatively limited, the problem of low energy utilization efficiency caused by this constant power output mode will become particularly prominent, directly affecting the battery life of the mobile power supply, and ultimately restricting the sustainability of the warmth protection effect of the intelligent temperature-controlled sanitation uniform, severely limiting its actual application effectiveness in the outdoor operation scenario in severe winter. Therefore, how to effectively improve the power supply efficiency of the mobile power supply for the intelligent temperature-controlled sanitation uniform with multiple independent temperature control zones has become an important technical problem that needs to be solved urgently.

[0004] In view of the above problems, the existing technology urgently needs to be improved. Summary of the Invention

[0005] The purpose of this application is to provide a method and device for low energy loss use of a mobile power supply, which can improve the power supply efficiency of the mobile power supply for the intelligent temperature-controlled sanitation uniform with multiple independent temperature control zones and reduce energy loss.

[0006] In a first aspect, this application provides a method for low energy loss use of a mobile power supply, which is used to control the mobile power supply to supply power to an intelligent temperature-controlled sanitation uniform with multiple independent temperature control zones. The steps of this method include: A1. Monitor the current values of multiple temperature control regions of the real-time monitoring intelligent temperature control sanitation clothing in real time, and calculate the average current value of each temperature control region; A2. Determine the corresponding adjustment factor according to the average current value of each temperature control region, so as to adjust the preset basic current threshold to obtain the dynamic current threshold of each temperature control region; the adjustment factor increases as the average current value decreases; A3. For each temperature control region, judge whether the actual current value of the temperature control region is lower than the corresponding dynamic current threshold; A4. If the actual current value of the temperature control region is lower than the corresponding dynamic current threshold, then according to the current deviation between the actual current value and the dynamic current threshold, reduce the output voltage of the mobile power supply to the corresponding temperature control region according to the proportional control algorithm, and the reduction amplitude is proportional to the current deviation; A5. If the actual current value of the temperature control region is higher than or equal to the corresponding dynamic current threshold, then maintain or slightly increase the output voltage of the mobile power supply to the corresponding temperature control region.

[0007] This method can match the output power of the mobile power supply with the dynamically changing heat demands of each region of the intelligent temperature control sanitation clothing by monitoring the current of each temperature control region in real time and dynamically adjusting the voltage of each temperature control region, which can improve the power supply efficiency of the mobile power supply for the intelligent temperature control sanitation clothing with multiple independent temperature control regions and reduce energy loss.

[0008] Preferably, step A1 includes: A101. Compare the historical current change rate of each temperature control region with the preset change rate threshold, and compare the energy consumption of each temperature control region with the preset energy consumption threshold; A102. According to the comparison results, adjust the current sampling frequency of each temperature control region; specifically, when the historical current change rate of the temperature control region exceeds the change rate threshold or the energy consumption is lower than the energy consumption threshold, increase the current sampling frequency of the corresponding temperature control region; when the historical current change rate of the temperature control region is lower than the change rate threshold and the energy consumption is higher than the energy consumption threshold, reduce the current sampling frequency of the corresponding temperature control region; otherwise, maintain the current sampling frequency of the corresponding temperature control region; A103. At the adjusted current sampling frequency, collect the current values of each temperature control region in real time, and calculate the average current value of each temperature control region.

[0009] Thus, the optimization of resource utilization efficiency is realized on the premise of ensuring the effectiveness of current monitoring.

[0010] Preferably, before step A101, there is also a step: A100a. Monitor the motion state of the sanitation worker wearing the intelligent temperature control sanitation clothing in real time, obtain the motion intensity data, and calculate the motion intensity change rate according to the motion intensity data; A100b. Compare the change rate of the exercise intensity with a preset threshold of the change rate of the exercise intensity. If the change rate of the exercise intensity exceeds the threshold of the change rate of the exercise intensity, then, based on the excess amount by which the change rate of the exercise intensity exceeds the threshold of the change rate of the exercise intensity, dynamically adjust the threshold of the change rate and the threshold of the energy consumption to update the preset threshold of the change rate and the preset threshold of the energy consumption.

[0011] Thus, the adjustment of the current sampling frequency can more quickly adapt to the rapid change of the operation intensity and ensure the timeliness of power distribution.

[0012] Preferably, step A2 includes: A201. Obtain a preset basic current threshold, an average current reference value, a maximum adjustment factor, and a minimum adjustment factor; A202. According to the average current value of each temperature control area, calculate the adjustment factor corresponding to each temperature control area by using a piecewise function; wherein, when the average current value is less than the average current reference value, the adjustment factor increases as the average current value decreases, and the upper limit of the adjustment factor is the maximum adjustment factor; when the average current value is greater than or equal to the average current reference value, the adjustment factor decreases as the average current value increases, and the lower limit of the adjustment factor is the minimum adjustment factor; A203. Multiply the adjustment factor corresponding to each temperature control area by the preset basic current threshold to obtain the dynamic current threshold of each temperature control area.

[0013] Preferably, after step A201 and before step A202, the following step is further included: A204. Determine the switching threshold range of the average current reference value, and the switching threshold range of the average current reference value includes an upper threshold and a lower threshold; A205. If the average current value of a temperature control area is greater than the upper threshold of the switching threshold range of the average current reference value, then increase the average current reference value of the corresponding temperature control area by a first preset value; A206. If the average current value of a temperature control area is less than the lower threshold of the switching threshold range of the average current reference value, then decrease the average current reference value of the corresponding temperature control area by a second preset value.

[0014] Preferably, step A4 includes: A401. Real-time monitor the exercise state of the sanitation worker wearing the intelligent temperature control sanitation uniform, obtain the exercise intensity data, and calculate the change rate of the exercise intensity according to the exercise intensity data; A402. Judge whether the change rate of the exercise intensity exceeds a preset threshold of the change rate of the exercise intensity; A403. If the rate of change of exercise intensity exceeds the preset threshold of the rate of change of exercise intensity, calculate a temperature overshoot suppression factor according to the excess amount by which the rate of change of exercise intensity exceeds the threshold of the rate of change of exercise intensity. The temperature overshoot suppression factor increases as the excess amount increases; A404. According to the current deviation between the actual current value and the dynamic current threshold, and the temperature overshoot suppression factor, reduce the output voltage of the mobile power supply to the corresponding temperature control area according to the proportional control algorithm. The reduction amplitude is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

[0015] Preferably, step A403 includes: B1. Obtain the heating area data and power data of each temperature control area; B2. Multiply the heating area data and power data of each temperature control area to obtain the temperature change rate factor of each temperature control area; B3. If the rate of change of exercise intensity exceeds the preset threshold of the rate of change of exercise intensity, multiply the excess amount by which the rate of change of exercise intensity exceeds the threshold of the rate of change of exercise intensity by the temperature change rate factor of each temperature control area to obtain the temperature overshoot suppression factor of each temperature control area.

[0016] Preferably, after step B2 and before step B3, the following step is further included: B4. Obtain the material thermal conductivity efficiency data of each temperature control area; B5. Correct the temperature change rate factor of each temperature control area according to the material thermal conductivity efficiency data of each temperature control area.

[0017] Preferably, step A5 includes: A501. Obtain the preset voltage adjustment step and the maximum boost duration; A502. If the actual current value of the heating area continuously remains higher than or equal to the corresponding dynamic current threshold and the duration exceeds the maximum boost duration, then gradually increase the output voltage of the mobile power supply to the corresponding heating area in small steps according to the preset voltage adjustment step until the preset maximum voltage boost amplitude is reached; A503. If the actual current value of the heating area continuously remains higher than or equal to the corresponding dynamic current threshold and the duration does not exceed the maximum boost duration, then maintain the output voltage of the mobile power supply to the corresponding heating area.

[0018] In a second aspect, the present application provides a low energy consumption usage device for a mobile power supply, which is used to control the mobile power supply to supply power to an intelligent temperature control sanitation suit with multiple independent temperature control areas. The device includes: A current monitoring module, which is used to monitor the current values of multiple temperature control areas of the intelligent temperature control sanitation suit in real time and calculate the average current value of each temperature control area; A threshold calculation module, configured to determine a corresponding adjustment factor according to the average current value of each temperature control region, so as to adjust a preset basic current threshold to obtain a dynamic current threshold for each temperature control region; the adjustment factor increases as the average current value decreases. A current judgment module, configured to judge, for each temperature control region, whether the actual current value of the temperature control region is lower than the corresponding dynamic current threshold. A voltage adjustment module, configured to, when the actual current value of a temperature control region is lower than the corresponding dynamic current threshold, reduce the output voltage of the mobile power supply to the corresponding temperature control region according to the current deviation between the actual current value and the dynamic current threshold, and the reduction amplitude is proportional to the current deviation; and when the actual current value of a temperature control region is higher than or equal to the corresponding dynamic current threshold, maintain or slightly increase the output voltage of the mobile power supply to the corresponding temperature control region.

[0019] Advantageous effects: A method and device for using a mobile power supply with low energy loss provided by the present application can match the output power of the mobile power supply with the dynamically changing heat demands of each region of an intelligent temperature control sanitation suit by monitoring the current of each temperature control region in real time and dynamically adjusting the voltage of each temperature control region, which can improve the power supply efficiency of the mobile power supply for an intelligent temperature control sanitation suit with multiple independent temperature control regions and reduce energy loss. Description of the Drawings

[0020] Figure 1 It is a flowchart of a method for using a mobile power supply with low energy loss provided by an embodiment of the present application.

[0021] Figure 2 It is a schematic structural diagram of a device for using a mobile power supply with low energy loss provided by an embodiment of the present application.

[0022] Label description: 1. Current monitoring module; 2. Threshold calculation module; 3. Current judgment module; 4. Voltage adjustment module. Detailed Embodiments

[0023] The following will clearly and completely describe the technical solutions in the present application with reference to the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. The components of the present application described and illustrated in the drawings here can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application provided in the drawings below is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative efforts fall within the scope of protection of the present application.

[0024] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be construed as indicating or implying relative importance.

[0025] Referring Figure 1 , this application proposes a method for using a mobile power supply with low energy loss to control the mobile power supply to supply power to an intelligent temperature-controlled sanitation suit with multiple independent temperature control regions. The steps of this method include: A1. Real-time monitor the current values of multiple temperature control regions of the intelligent temperature-controlled sanitation suit, and calculate the average current value of each temperature control region; A2. Determine the corresponding adjustment factor according to the average current value of each temperature control region to adjust the preset basic current threshold to obtain the dynamic current threshold of each temperature control region; the adjustment factor increases as the average current value decreases; A3. For each temperature control region, determine whether the actual current value of the temperature control region is lower than the corresponding dynamic current threshold; A4. If the actual current value of the temperature control region is lower than the corresponding dynamic current threshold, then according to the current deviation between the actual current value and the dynamic current threshold, reduce the output voltage of the mobile power supply to the corresponding temperature control region according to the proportional control algorithm, and the reduction amplitude is proportional to the current deviation; A5. If the actual current value of the temperature control region is higher than or equal to the corresponding dynamic current threshold, then maintain or slightly increase the output voltage of the mobile power supply to the corresponding temperature control region.

[0026] Among them, in step A1, the current values of each temperature control region can be detected periodically at a preset frequency. The calculation of the average current value can be achieved by averaging the current values collected within a preset time period (which can be set according to actual needs) to reflect the overall current level of the temperature control region.

[0027] Among them, in step A2, the determination of the adjustment factor can adopt various functional relationships, such as an inverse proportional function or a piecewise function, to ensure that the adjustment factor increases when the average current value decreases. The dynamic current threshold can be obtained by multiplying the adjustment factor by the preset basic current threshold, realizing the dynamic adjustment of the current threshold.

[0028] Among them, in step A3, comparing the actual current value with the dynamic current threshold provides a basis for subsequent voltage adjustment.

[0029] Among them, in step A4, when the actual current value in the temperature control area is lower than the corresponding dynamic current threshold, it indicates that the heat demand in this temperature control area has decreased. Correspondingly, it is necessary to reduce the output voltage of the mobile power supply for the corresponding temperature control area to match this demand. The proportional control algorithm calculates the voltage adjustment amount based on the current deviation. The greater the current deviation, the greater the voltage reduction, achieving refined voltage control.

[0030] Among them, in step A5, when the actual current value in the temperature control area is higher than or equal to the corresponding dynamic current threshold, it indicates a high heat demand. By maintaining or increasing the output voltage, the heating effect is ensured. Maintaining or slightly increasing the voltage can avoid temperature drops caused by insufficient power and ensure the comfort of the wearer. Among them, the voltage can be slightly increased when the actual current value continuously exceeds the dynamic current threshold, and the increase amplitude can be preset in advance, such as increasing a fixed voltage value each time or increasing it according to a certain ratio.

[0031] Specifically, for the method of using the mobile power supply with low energy loss, first, in step A1, the current data of each temperature control area of the intelligent temperature-controlled sanitation clothing is obtained in real time to master the power consumption status of each area. Then, in step A2, based on the average current value of each area, the current threshold is dynamically adjusted. When the average current value decreases, the dynamic current threshold is also adjusted accordingly, so that the current threshold can adapt to the change of the temperature control demand. In step A3, a comparison and judgment are made between the actual current value and the dynamic current threshold. In step A4, when the actual current value is lower than the dynamic current threshold, it indicates that the temperature control area is in a state of lower heat demand. At this time, the output voltage is reduced through the proportional control algorithm, and the reduced voltage amplitude is proportional to the current deviation. This method can supply power on demand, avoid energy waste, and achieve energy savings. Step A5 ensures that when the current demand in the temperature control area is high, the output voltage is maintained or slightly increased to ensure the temperature control effect. Through the above steps, this method can dynamically adjust the output voltage of the mobile power supply according to the actual current demand of each temperature control area, effectively reduce energy loss, and improve the battery life of the mobile power supply on the premise of ensuring the temperature control effect.

[0032] In some preferred embodiments, step A1 includes: A101. Comparing the historical current change rate of each temperature control area with a preset change rate threshold, and comparing the energy consumption of each temperature control area with a preset energy consumption threshold; A102. According to the comparison results, adjusting the current sampling frequency of each temperature control area; specifically, when the historical current change rate in the temperature control area exceeds the change rate threshold or the energy consumption is lower than the energy consumption threshold, increasing the current sampling frequency of the corresponding temperature control area; when the historical current change rate in the temperature control area is lower than the change rate threshold and the energy consumption is higher than the energy consumption threshold, reducing the current sampling frequency of the corresponding temperature control area; otherwise, maintaining the current sampling frequency of the corresponding temperature control area; A103. Collect the current values of each temperature control area in real time at the adjusted current sampling frequency, and calculate the average current value of each temperature control area.

[0033] Among them, in step A101, the historical current change rate and energy consumption of each temperature control area are compared with their respective thresholds. The current change rate can be calculated from the change amplitude of the current value within a unit time, and the energy consumption can be obtained by multiplying the current value and the voltage value and then multiplying by time (the energy consumption can be obtained by integrating the product of the current value and the voltage value within a preset time window over time). The change rate threshold and the energy consumption threshold are preset and can be adjusted according to the actual application scenario and requirements.

[0034] Among them, in step A102, the adjustment of the current sampling frequency is completed based on the comparison result. Specifically, when the current in the temperature control area changes violently or the energy consumption in the temperature control area is low, the current sampling frequency is increased. A violent change in current can be understood as the historical current change rate exceeding the change rate threshold, indicating that the temperature control demand in this area is changing rapidly and a higher sampling frequency is required to accurately capture the current change; when the energy consumption in the heating area is lower than the energy consumption threshold (which means there is relatively sufficient electrical energy resource for the sampling system), increasing the sampling frequency can more precisely monitor the current change in the low-power state and provide data support for subsequent power optimization. When the current in the temperature control area changes smoothly and the energy consumption is high, the current sampling frequency is decreased. A smooth change in current can be understood as the historical current change rate being lower than the change rate threshold, and a high energy consumption can be understood as the energy consumption being higher than the energy consumption threshold, which means that the temperature control demand in this area is stable and in a high workload state, and the sampling frequency can be appropriately reduced to save electrical energy. In other cases, the current sampling frequency remains unchanged.

[0035] Among them, in step A103, the adjusted current sampling frequency is used to collect current values, and after collecting multiple current values within a period of time, the average current value is calculated for subsequent dynamic current threshold calculation and voltage adjustment.

[0036] Specifically, the above solution aims to solve the problem that using a fixed current sampling frequency may lead to inaccurate current monitoring or resource waste. By introducing a dynamic adjustment mechanism for the current sampling frequency, the current sampling frequency can be adaptively adjusted according to the actual current change situation and energy consumption level of the temperature control area. When the current in the temperature control area changes violently or the energy consumption is low, the current sampling frequency is increased to ensure the sensitivity and accuracy of current monitoring and quickly respond to the change of temperature control demand; when the current in the temperature control area changes smoothly and the energy consumption is high, the current sampling frequency is decreased to reduce unnecessary sampling, save electrical energy, optimize the electrical energy utilization efficiency, and more precisely achieve the low energy loss use of the mobile power supply. Thus, the optimization of the electrical energy utilization efficiency is achieved on the premise of ensuring the effectiveness of current monitoring.

[0037] Further, before step A101, the following steps may also be included: A100a. Real-time monitor the motion state of the sanitation workers wearing the intelligent temperature-controlled sanitation clothing, obtain the exercise intensity data, and calculate the exercise intensity change rate based on the exercise intensity data; A100b. Compare the exercise intensity change rate with a preset exercise intensity change rate threshold. If the exercise intensity change rate exceeds the exercise intensity change rate threshold, then dynamically adjust the change rate threshold and the energy consumption threshold according to the excess amount by which the exercise intensity change rate exceeds the exercise intensity change rate threshold, so as to update the preset change rate threshold and the preset energy consumption threshold; Among them, in step A100a, the real-time monitoring of the motion state can be realized by a motion sensor worn on the sanitation worker. The motion sensor may include, but is not limited to, an acceleration sensor, a gyroscope, or a heart rate sensor, etc. The exercise intensity data may be acceleration, angular velocity, or heart rate value. The exercise intensity change rate can be calculated as the change amplitude of the exercise intensity data per unit time. For example, the exercise intensity change rate can be obtained by linearly fitting multiple recently collected exercise intensity data and calculating the slope of the fitting line.

[0038] Among them, in step A100b, the preset exercise intensity change rate threshold can be set according to empirical values or experimental data. The comparison between the exercise intensity change rate and the exercise intensity change rate threshold is used to determine whether the exercise intensity of the sanitation worker has changed drastically. When the exercise intensity change rate exceeds the exercise intensity change rate threshold, it indicates that the exercise intensity of the sanitation worker has changed drastically. The dynamic adjustment of the change rate threshold and the energy consumption threshold can adopt a linear adjustment or a non-linear adjustment method. For example, the greater the excess amount, the greater the adjustment amplitude of the change rate threshold and the energy consumption threshold. The update of the change rate threshold and the energy consumption threshold enables the adjustment of the current sampling frequency to more quickly adapt to the change in the exercise intensity of the sanitation worker.

[0039] Specifically, before the sanitation workers start high-intensity operations, the motion sensor monitors the motion state of the sanitation workers in real time, obtains the motion intensity data, and calculates the change rate of the motion intensity. The system compares the change rate of the motion intensity with a preset threshold of the change rate of the motion intensity. If the change rate of the motion intensity exceeds the threshold of the change rate of the motion intensity, it indicates that the sanitation workers are about to or are in the process of high-intensity operations, and the body heat increases rapidly. At this time, the system dynamically increases the change rate threshold and the energy consumption threshold according to the excess amount by which the change rate of the motion intensity exceeds the threshold of the change rate of the motion intensity. The increase in the change rate threshold and the energy consumption threshold enables step A101 to respond more sensitively to the change in the motion intensity of the sanitation workers when adjusting the current sampling frequency subsequently, and promptly increases the current sampling frequency. The prompt increase in the current sampling frequency enables the calculation of the average current value to more quickly reflect the actual change in the current in the temperature control area, so that the mobile power supply can more promptly adjust the output voltage to adapt to the change in the heat demand caused by the rapid change in the motion intensity of the sanitation workers, avoid power distribution lag, and optimize the warming effect of the intelligent temperature control sanitation clothing.

[0040] In some possible implementation manners, step A2 includes: A201. Obtain a preset basic current threshold, an average current reference value, a maximum adjustment factor, and a minimum adjustment factor; A202. According to the average current value of each temperature control area, calculate the adjustment factor corresponding to each temperature control area by using a piecewise function; wherein, when the average current value is less than the average current reference value, the adjustment factor increases as the average current value decreases, and the upper limit of the adjustment factor is the maximum adjustment factor; when the average current value is greater than or equal to the average current reference value, the adjustment factor decreases as the average current value increases, and the lower limit of the adjustment factor is the minimum adjustment factor; A203. Multiply the adjustment factor corresponding to each temperature control area by the preset basic current threshold to obtain the dynamic current threshold of each temperature control area.

[0041] Among them, in step A201, the preset basic current threshold, the average current reference value, the maximum adjustment factor, and the minimum adjustment factor are obtained. These values can be fixed values pre-stored in the device, or can be determined according to experimental data or empirical values.

[0042] Among them, in step A202, a piecewise function is used to calculate the adjustment factor. Specifically, when the average current value is lower than the average current reference value, the adjustment factor is set as a function that increases as the average current value decreases and is limited below the maximum adjustment factor value. This setting aims to more significantly reduce the dynamic current threshold by increasing the adjustment factor when the current demand is low, improve the sensitivity in the low-power consumption area, and avoid energy waste. Conversely, when the average current value is higher than or equal to the average current reference value, the adjustment factor is set as a function that decreases as the average current value increases and is limited above the minimum adjustment factor value, which can ensure the heating effect in the high-power consumption area. By setting the upper and lower limits of the adjustment factor, it is possible to avoid the adjustment factor being too large or too small and ensure the rationality of the dynamic current threshold.

[0043] Among them, in step A203, the dynamic current threshold is calculated by multiplying the adjustment factor by the base current threshold. Thus, the dynamic current threshold can be finely adjusted according to different average current values.

[0044] Specifically, through preset parameters and a piecewise function, the adjustment of the dynamic current threshold can be carried out according to different levels of the average current value. When the temperature control area is in a state of low current demand, the adjustment factor increases, the dynamic current threshold decreases significantly, and the output voltage decreases by a larger margin, achieving energy conservation. When the current demand in the temperature control area is high, the adjustment factor decreases, and the dynamic current threshold will not be too low, maintaining the basic power supply demand. The design of this piecewise function makes the changes in the adjustment factor and the dynamic current threshold more refined and reasonable, enabling the mobile power supply to supply power to the intelligent temperature control sanitation clothing more efficiently and achieving a better energy-saving effect.

[0045] Furthermore, after step A201 and before step A202, the following steps may also be included: A204. Determine the average current reference value switching threshold range, which includes an upper threshold and a lower threshold; A205. If the average current value of a temperature control area is greater than the upper threshold of the average current reference value switching threshold range, then increase the average current reference value of the corresponding temperature control area by a first preset value; A206. If the average current value of a temperature control area is less than the lower threshold of the average current reference value switching threshold range, then decrease the average current reference value of the corresponding temperature control area by a second preset value.

[0046] Sanitation workers may need to frequently switch between different working states. For example, they may switch from high-intensity physical labor (such as snow cleaning) to low-intensity work (such as rest and observation). This frequent switching causes significant fluctuations in the average current value. If the switching point of the piecewise function (i.e., the average current reference value) is fixed, it may cause the system to frequently switch between two segments, resulting in violent oscillations of the adjustment factor and the dynamic current threshold, ultimately leading to unstable output power and affecting the warming effect and user experience. Therefore, here, by introducing a switching threshold range for the average current reference value and dynamically adjusting the average current reference value according to the average current value, the oscillations of the adjustment factor and the dynamic current threshold are avoided. First, determine the switching threshold range for the average current reference value, which includes an upper threshold and a lower threshold, and is used to determine whether the average current value deviates too far from the average current reference value. Then, determine whether the average current value is greater than the upper threshold of the switching threshold range for the average current reference value. If so, increase the average current reference value by a first preset value so that the average current reference value can change with the change of the average current value. Determine whether the average current value is less than the lower threshold of the switching threshold range for the average current reference value. If so, decrease the average current reference value by a second preset value, also making the average current reference value able to change with the change of the average current value. Subsequently, according to the average current value of each heating area and the adjusted average current reference value, use a piecewise function to calculate the adjustment factor corresponding to each heating area, ensuring that the adjustment of the dynamic current threshold can adapt to the change of the working intensity and avoiding unstable output power.

[0047] The first preset value and the second preset value can also be adjusted according to the actual application scenario and system characteristics. As a preferred implementation, the first preset value and the second preset value can be set to equal values to facilitate the simplification of the control system and parameter adjustment.

[0048] In some preferred embodiments, step A4 includes: A401. Real-time monitor the motion state of the sanitation worker wearing the intelligent temperature-controlled sanitation suit, obtain the motion intensity data, and calculate the motion intensity change rate according to the motion intensity data; A402. Determine whether the motion intensity change rate exceeds a preset motion intensity change rate threshold; A403. If the motion intensity change rate exceeds the preset motion intensity change rate threshold, calculate a temperature overshoot suppression factor according to the excess amount by which the motion intensity change rate exceeds the motion intensity change rate threshold, and the temperature overshoot suppression factor increases as the excess amount increases; A404. According to the current deviation between the actual current value and the dynamic current threshold, and the temperature overshoot suppression factor, reduce the output voltage of the mobile power supply to the corresponding temperature control area according to the proportional control algorithm. The reduction amplitude is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

[0049] Among them, the specific process of step A401 can refer to step A100a in the previous text.

[0050] Among them, in step A402, the preset threshold value of the change rate of exercise intensity can be set according to actual needs.

[0051] Among them, in step A403, the temperature overshoot suppression factor is a parameter used to adjust the amplitude of voltage reduction. The larger the excess amount of the change rate of exercise intensity exceeding the threshold value of the change rate of exercise intensity, the higher the degree of sudden change of exercise intensity. At this time, the calculated temperature overshoot suppression factor is also larger. The calculation method of the temperature overshoot suppression factor can be a linear function, a non-linear function, a piecewise function, etc., as long as it is ensured that the temperature overshoot suppression factor increases with the increase of the excess amount.

[0052] Among them, in step A404, the proportional control algorithm is a control technology, and the amplitude of the output voltage reduction is proportional to the current deviation. The larger the current deviation, the larger the amplitude of the voltage reduction. The introduction of the temperature overshoot suppression factor makes the amplitude of the voltage reduction further affected by the change rate of exercise intensity on the basis of the current deviation. When the temperature overshoot suppression factor increases, the amplitude of the voltage reduction will be reduced. For example, the amplitude of the voltage reduction can be calculated by the following formula: Amplitude of voltage reduction = C × Current deviation / (1 + Temperature overshoot suppression factor), where C is a preset proportionality coefficient.

[0053] Specifically, when the actual current value in the temperature control area is lower than the corresponding dynamic current threshold, the change rate of the sanitation worker's exercise intensity is monitored in real time through steps A401 and A402, and compared with the preset change rate threshold of the exercise intensity. Thus, it is judged whether the exercise intensity of the sanitation worker has changed suddenly. When the judgment result is that the change rate of the exercise intensity exceeds the preset change rate threshold of the exercise intensity, it indicates that the exercise intensity of the sanitation worker has changed suddenly and the body heat production has increased rapidly. At this time, step A403 is executed, and the temperature overshoot suppression factor is calculated according to the excess amount of the change rate of the exercise intensity exceeding the threshold. This temperature overshoot suppression factor is used in step A404 to adjust the voltage reduction strategy, so that the amplitude of the voltage reduction is not only proportional to the current deviation, but also inversely proportional to the temperature overshoot suppression factor. Therefore, when the exercise intensity changes suddenly, the increase of the temperature overshoot suppression factor can reduce the amplitude of the voltage reduction, thereby slowing down the speed of the voltage reduction, avoiding the too rapid decrease of the temperature in the temperature control area, and suppressing the occurrence of the temperature overshoot phenomenon. On the contrary, when the exercise intensity changes gently, the temperature overshoot suppression factor is small, and the influence on the amplitude of the voltage reduction is small, and the voltage adjustment is mainly based on the current deviation. Through the above steps, the voltage reduction strategy can be dynamically adjusted according to the change of the sanitation worker's exercise intensity, and on the premise of ensuring energy conservation, the temperature overshoot problem caused by the sudden change of the exercise intensity can be effectively avoided. In fact, in the outdoor operation scenario in the severe cold winter, the working state of the sanitation worker changes frequently, and there may be a situation of standing still after a short period of intense exercise. At this time, the body heat dissipation situation changes violently. If only proportional control is performed according to the current deviation, there may be a temperature overshoot problem: after intense exercise, the body temperature rises, the heating demand decreases, and the current drops. The proportional control algorithm will reduce the voltage, but due to the thermal inertia of the body, the temperature drop has a lag, which may cause the temperature in the temperature control area to drop too much, resulting in an "overshoot" phenomenon and causing discomfort; here, by suppressing the occurrence of the temperature overshoot phenomenon, the comfort of the user can be improved.

[0054] In some preferred embodiments, step A403 includes: B1. Obtain the heating area data and power data of each temperature control area; B2. Multiply the heating area data and power data of each temperature control area to obtain the temperature change rate factor of each temperature control area; B3. If the change rate of the exercise intensity exceeds the preset change rate threshold of the exercise intensity, multiply the excess amount of the change rate of the exercise intensity exceeding the change rate threshold of the exercise intensity by the temperature change rate factor of each temperature control area to obtain the temperature overshoot suppression factor of each temperature control area.

[0055] Among them, in step B1, the heating area data and power data of each temperature control area are pre-set parameters. The heating area data refers to the area size of the heating elements in each temperature control area of the intelligent temperature control sanitation suit, and the power data refers to the rated power of the heating elements in each temperature control area.

[0056] Among them, in step B2, by multiplying the heating area data and the power data, the temperature change rate factor is calculated. The temperature change rate factor reflects the speed of temperature change in the temperature control area. The larger the area or the higher the power, the faster the temperature change rate and the higher the risk of temperature overshoot.

[0057] Among them, in step B3, when it is monitored that the change rate of the sanitation worker's exercise intensity exceeds the set threshold, it indicates that the exercise state of the sanitation worker has changed violently. At this time, the temperature in the temperature control area is prone to overshoot. Therefore, it is necessary to calculate the temperature overshoot suppression factor to adjust the amplitude of voltage reduction to suppress temperature overshoot. The temperature overshoot suppression factor is obtained by multiplying the excess amount of the change rate of exercise intensity exceeding the threshold by the temperature change rate factor. The larger the excess amount and the larger the temperature change rate factor, the larger the temperature overshoot suppression factor, indicating that a greater suppression force is required.

[0058] Specifically, through step B1, the heating area and power data of the temperature control area are obtained, which characterize the heating capacity of the temperature control area. Step B2 calculates the temperature change rate factor, which reflects the speed of temperature change in the temperature control area. Step B3 combines the excess amount of the change rate of exercise intensity and the temperature change rate factor to calculate the temperature overshoot suppression factor. When the exercise intensity changes violently, the risk of temperature overshoot increases. Through the temperature overshoot suppression factor, the changes in exercise intensity and the characteristics of the temperature control area itself can be comprehensively considered, the risk of temperature overshoot can be quantified, providing a basis for subsequent voltage adjustment and more effectively suppressing temperature overshoot.

[0059] Furthermore, after step B2 and before step B3, the following steps may also be included: B4. Obtain the material thermal conductivity efficiency data of each temperature control area; B5. Correct the temperature change rate factor of each temperature control area according to the material thermal conductivity efficiency data of each temperature control area.

[0060] Among them, in step B4, the material thermal conductivity efficiency data of each temperature control area can be fixed values pre-determined and stored in the memory. These values are determined according to the material types used in different temperature control areas of the intelligent temperature control sanitation suit. For example, for the back temperature control area, if a material with a higher thermal conductivity efficiency is used, a higher thermal conductivity efficiency value is recorded; for the knee temperature control area, if a material with a lower thermal conductivity efficiency is used, a lower thermal conductivity efficiency value is recorded.

[0061] Among them, in step B5, the corrected temperature change rate factor can be obtained by dividing the temperature change rate factor calculated in step B2 by the material thermal conductivity efficiency data obtained in step B4. Thus, when the material thermal conductivity efficiency is high, the corrected temperature change rate factor will decrease; when the material thermal conductivity efficiency is low, the corrected temperature change rate factor will increase. This correction method takes into account the influence of the material's own thermal conductivity characteristics on the temperature change speed, making the calculation result of the temperature change rate factor more accurately reflect the actual temperature change situation in each temperature control region.

[0062] Specifically, in the process of calculating the temperature overshoot suppression factor, first, the temperature change rate factors of each temperature control region are preliminarily calculated through step B2. This factor initially reflects the speed of temperature change in each region under a given heating area and power. However, there are differences in the thermal conductivity efficiencies of different materials. Even under the same heating area and power, the temperature in the region with a high thermal conductivity efficiency material will rise faster, and vice versa. To more accurately evaluate the temperature change rate, step B4 obtains the material thermal conductivity efficiency data of each temperature control region, and in step B5, these data are used to correct the preliminarily calculated temperature change rate factor. The corrected temperature change rate factor can more truly reflect the temperature change characteristics of each temperature control region. Subsequently, in step B3, the temperature overshoot suppression factor is calculated using the corrected temperature change rate factor and the excess of the exercise intensity change rate. Since the temperature change rate factor is corrected by the material thermal conductivity efficiency data, the finally obtained temperature overshoot suppression factor is also more accurate, so that the subsequent voltage adjustment can more effectively suppress the temperature overshoot phenomenon and improve the accuracy and energy utilization efficiency of the temperature control system.

[0063] In some specific embodiments, step A5 includes: A501. Obtain a preset voltage adjustment step size and a maximum boost duration; A502. If the actual current value in the heating region continuously remains higher than or equal to the corresponding dynamic current threshold and the duration exceeds the maximum boost duration, then increase the output voltage of the mobile power supply to the corresponding heating region in small steps in stages according to the preset voltage adjustment step size until the preset maximum voltage boost amplitude is reached; A503. If the actual current value in the heating region continuously remains higher than or equal to the corresponding dynamic current threshold and the duration does not exceed the maximum boost duration, then maintain the output voltage of the mobile power supply to the corresponding heating region.

[0064] Among them, in step A501, the preset voltage adjustment step and maximum boost duration are obtained as basic parameters for voltage adjustment. The voltage adjustment step determines the amplitude of each voltage boost and can be set according to actual needs, for example, it can be set to 0.1V, and the maximum boost duration sets the time condition for starting to boost the voltage, which can be set according to actual needs, for example, it can be set to 5 minutes.

[0065] Among them, in step A502, when it is determined that the actual current value of the heating area is continuously higher than or equal to the dynamic current threshold, and the duration exceeds the maximum boost duration, the voltage boost operation will be executed. The voltage boost is not completed in one go, but is gradually increased in stages according to the preset voltage adjustment step until the preset maximum voltage boost amplitude is reached. The maximum voltage boost amplitude can be set according to actual needs, for example, the maximum voltage boost amplitude can be set to 0.5V. This staged boost method makes the voltage adjustment process smoother and more controllable, and avoids voltage mutations.

[0066] Among them, in step A503, if the actual current value is continuously higher than or equal to the dynamic current threshold, but the duration does not exceed the maximum boost duration, the current output voltage is maintained unchanged. Thus, the specific conditions and methods for a small voltage boost are clarified, the ambiguity of the voltage boost strategy is avoided, and the voltage control is made more refined and stable.

[0067] Specifically, if the actual current value of a temperature control area is continuously higher than or equal to the dynamic current threshold and lasts for the set maximum boost duration, such as 5 minutes, the control system will gradually increase the output voltage of the mobile power supply to the temperature control area according to the preset voltage adjustment step, such as 0.1V. The voltage boost process is divided into stages, for example, increasing a step at regular intervals until the preset maximum voltage boost is reached, such as 0.5V. This gradual increase method can avoid the impact of a sudden increase in voltage on the temperature control system and ensure the stability of the system. On the contrary, if the actual current value is higher than or equal to the dynamic current threshold, but the duration is short and does not exceed the maximum boost duration, it indicates that the heating demand may be only a temporary fluctuation. At this time, maintaining the voltage unchanged can avoid unnecessary voltage adjustments and maintain energy efficiency.

[0068] refer to Figure 2 The present application further proposes a low energy loss use device of a mobile power source, which is used to control the mobile power source to power a smart temperature-controlled sanitation service with multiple independent temperature-controlled areas. The device includes: The current monitoring module 1 is used to monitor the current values ​​of multiple temperature control areas of the intelligent temperature control sanitation service in real time, and calculate the average current value of each temperature control area (for the specific process, refer to step A1 above); A threshold calculation module 2, configured to determine a corresponding adjustment factor according to the average current value of each temperature control region, so as to adjust a preset basic current threshold to obtain a dynamic current threshold for each temperature control region; the adjustment factor increases as the average current value decreases (for the specific process, refer to step A2 in the foregoing text). A current judgment module 3, configured to, for each temperature control region, judge whether the actual current value of the temperature control region is lower than the corresponding dynamic current threshold (for the specific process, refer to step A3 in the foregoing text). A voltage adjustment module 4, configured to, when the actual current value of a temperature control region is lower than the corresponding dynamic current threshold, reduce the output voltage of the mobile power supply for the corresponding temperature control region according to the current deviation between the actual current value and the dynamic current threshold, and the reduction amplitude is proportional to the current deviation; and when the actual current value of the temperature control region is higher than or equal to the corresponding dynamic current threshold, maintain or slightly increase the output voltage of the mobile power supply for the corresponding temperature control region (for the specific process, refer to step A4 and step A5 in the foregoing text).

[0069] In the embodiments provided in the present application, it should be understood that the disclosed device and method can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces, and the indirect coupling or communication connection of the device or unit may be in an electrical, mechanical or other form.

[0070] In addition, the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units. They may be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0071] Furthermore, in each embodiment of the present application, the functional modules may be integrated together to form an independent part, or each module may exist alone, or two or more modules may be integrated to form an independent part.

[0072] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations.

[0073] The above are only the embodiments of the present application and are not intended to limit the protection scope of the present application. For those skilled in the art, various modifications and changes can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A low energy loss method for using a mobile power source, used to control the mobile power source to supply power to an intelligent temperature-controlled sanitation service having multiple independent temperature-controlled areas, characterized in that: The steps of the method include: A1. Real-time monitoring of the current values ​​of multiple temperature control areas of the intelligent temperature control sanitation service, and calculation of the average current value of each temperature control area; A2. Determine the corresponding adjustment factor according to the average current value of each temperature control area to adjust the preset basic current threshold to obtain the dynamic current threshold of each temperature control area; the adjustment factor increases as the average current value decreases; A3. For each temperature control area, determine whether the actual current value of the temperature control area is lower than the corresponding dynamic current threshold; A4. If the actual current value of the temperature control area is lower than the corresponding dynamic current threshold, the output voltage of the mobile power supply to the corresponding temperature control area is reduced according to the current deviation between the actual current value and the dynamic current threshold according to the proportional control algorithm, and the reduction is proportional to the current deviation; A5. If the actual current value of the temperature control area is higher than or equal to the corresponding dynamic current threshold, the output voltage of the mobile power supply to the corresponding temperature control area is maintained or slightly increased.

2. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A1 includes: A101. Compare the historical current change rate of each temperature control area with the preset change rate threshold, and compare the energy consumption of each temperature control area with the preset energy consumption threshold; A102. According to the comparison results, adjust the current sampling frequency of each temperature control area; specifically, when the historical current change rate of the temperature control area exceeds the change rate threshold or the energy consumption is lower than the energy consumption threshold, increase the current sampling frequency of the corresponding temperature control area; when the historical current change rate of the temperature control area is lower than the change rate threshold and the energy consumption is higher than the energy consumption threshold, reduce the current sampling frequency of the corresponding temperature control area; otherwise, maintain the current sampling frequency of the corresponding temperature control area; A103. With the adjusted current sampling frequency, the current value of each temperature control area is collected in real time, and the average current value of each temperature control area is calculated.

3. The low energy loss method for using a mobile power source according to claim 2, characterized in that: Before step A101, the following steps are also included: A100a real-time monitoring of the movement state of sanitation workers wearing the intelligent temperature control sanitation clothing, obtain exercise intensity data, and calculate the rate of change of exercise intensity based on the exercise intensity data; A100b. Compare the exercise intensity change rate with the preset exercise intensity change rate threshold. If the exercise intensity change rate exceeds the exercise intensity change rate threshold, dynamically adjust the change rate threshold and the energy consumption threshold based on the amount by which the exercise intensity change rate exceeds the exercise intensity change rate threshold, so as to update the preset change rate threshold and the preset energy consumption threshold.

4. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A2 includes: A201. Obtain the preset basic current threshold, average current reference value, maximum adjustment factor and minimum adjustment factor; A202. According to the average current value of each temperature control area, a piecewise function is used to calculate the adjustment factor corresponding to each temperature control area; when the average current value is less than the average current reference value, the adjustment factor increases as the average current value decreases, and the upper limit of the adjustment factor is the maximum value of the adjustment factor; when the average current value is greater than or equal to the average current reference value, the adjustment factor decreases as the average current value increases, and the lower limit of the adjustment factor is the minimum value of the adjustment factor; A203. Multiply the adjustment factor corresponding to each temperature control zone by the preset basic current threshold to obtain the dynamic current threshold of each temperature control zone.

5. The low energy loss method for using a mobile power source according to claim 4, characterized in that: After step A201 and before step A202, the method further includes the following steps: A204. Determine the average current reference value switching threshold range, the average current reference value switching threshold range includes an upper threshold and a lower threshold; A205. If the average current value of a temperature control area is greater than the upper threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control area is increased by a first preset value; A206. If the average current value of a temperature control area is less than the lower limit threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control area is adjusted down by a second preset value.

6. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A4 includes: A401. Real-time monitoring of the movement status of sanitation workers wearing the intelligent temperature control sanitation clothing, obtaining exercise intensity data, and calculating the rate of change of exercise intensity based on the exercise intensity data; A402. Determine whether the rate of change of exercise intensity exceeds a preset rate of change threshold of exercise intensity; A403. If the exercise intensity change rate exceeds the preset exercise intensity change rate threshold, the temperature overshoot suppression factor is calculated according to the excess amount of the exercise intensity change rate over the exercise intensity change rate threshold, and the temperature overshoot suppression factor increases with the increase of the excess amount; A404. Based on the current deviation between the actual current value and the dynamic current threshold, and the temperature overshoot suppression factor, the output voltage of the mobile power supply to the corresponding temperature control area is reduced according to the proportional control algorithm. The reduction is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

7. A method for using a mobile power source with low energy loss according to claim 6, characterized in that: Step A403 includes: B1. Obtain heating area data and power data of each temperature control area; B2. Multiply the heating area data and power data of each temperature control area to obtain the temperature change rate factor of each temperature control area; B3. If the exercise intensity change rate exceeds the preset exercise intensity change rate threshold, the excess of the exercise intensity change rate over the exercise intensity change rate threshold is multiplied by the temperature change rate factor of each temperature control area to obtain the temperature overshoot suppression factor of each temperature control area.

8. The low energy loss method for using a mobile power source according to claim 7, characterized in that: After step B2 and before step B3, the method further includes the following steps: B4. Obtain the material thermal conductivity efficiency data of each temperature control area; B5. Correct the temperature change rate factor of each temperature control area according to the material thermal conductivity efficiency data of each temperature control area.

9. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A5 includes: A501. Get the preset voltage adjustment step and maximum boost duration; A502. If the actual current value of the heating area is continuously higher than or equal to the corresponding dynamic current threshold value, and the duration exceeds the maximum boost duration, the output voltage of the mobile power supply to the corresponding heating area is increased in stages in small increments according to the preset voltage adjustment step until the preset maximum voltage boost is reached; A503. If the actual current value of the heating area is continuously higher than or equal to the corresponding dynamic current threshold and the duration does not exceed the maximum boost duration, the output voltage of the mobile power supply to the corresponding heating area is maintained.

10. A low energy loss device for using a mobile power source, used to control the mobile power source to supply power to an intelligent temperature-controlled sanitation service having multiple independent temperature-controlled areas, characterized in that: The device includes: The current monitoring module is used to monitor the current values ​​of multiple temperature control areas of the intelligent temperature control sanitation service in real time and calculate the average current value of each temperature control area; A threshold calculation module is used to determine a corresponding adjustment factor according to the average current value of each temperature control area, so as to adjust the preset basic current threshold to obtain a dynamic current threshold of each temperature control area; the adjustment factor increases as the average current value decreases; A current judgment module, used to judge, for each temperature control zone, whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold; The voltage adjustment module is used to reduce the output voltage of the mobile power supply to the corresponding temperature control area according to the current deviation between the actual current value and the dynamic current threshold when the actual current value of the temperature control area is lower than the corresponding dynamic current threshold, according to the proportional control algorithm, and the reduction range is proportional to the current deviation; and when the actual current value of the temperature control area is higher than or equal to the corresponding dynamic current threshold, maintain or slightly increase the output voltage of the mobile power supply to the corresponding temperature control area.

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