Movable thermoelectric power generation system and power generation method thereof

Through the collaborative work of sensing, recommendation, driving, control and coordination modules, the mobile thermoelectric power generation equipment achieves adaptive deployment and stable power generation, solving the problem of the equipment's inability to adapt to cold sources and improving power generation efficiency and stability.

CN121508364APending Publication Date: 2026-02-10SANYA SCI & EDUCATION INNOVATION PARK WUHAN UNIV OF TECH
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Patent Information

Application Number
CN202511611999.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-06
Publication Date
2026-02-10

AI Technical Summary

Technical Problem

Existing portable thermal power generation equipment is difficult to adapt to and maintain a cooling source over a long period of time, which affects the power generation effect.

Method used

The sensing module collects environmental cold source temperature and distribution density parameters, the recommendation module generates optimal deployment location suggestions, drives the module to move the device, the control module adaptively adjusts the thermoelectric conversion parameters, coordinates the module to store and distribute electrical energy, and the monitoring module monitors the cold source status and re-identifies the location, thus realizing the device's adaptive deployment and stable power generation.

Benefits of technology

Accurately identify the location of available cold sources, reduce ineffective energy consumption, ensure stable equipment movement and power generation, adjust parameters in real time to maintain voltage stability and heat exchange efficiency, supplement power shortages, extend the high-efficiency power generation cycle, and improve system adaptability and power supply stability.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a movable thermoelectric power generation system and a power generation method thereof, and relates to the field of thermal power generation, and the system comprises a sensing module which is used for collecting the temperature and distribution density parameters of a cold source in an environment through a sensor pre-loaded by movable thermoelectric power generation equipment, so as to recognize and mark the available position of the cold source in a bounded environment; the recommendation module is used for receiving the available position of the cold source in the bounded environment and generating an optimal deployment position suggestion of the movable thermoelectric power generation equipment based on the thermoelectric power generation efficiency requirement; according to the invention, the temperature and distribution parameters of the environment cold source can be accurately collected to identify the available cold source, the optimal deployment point is determined by combining the power generation efficiency demand and the mobile energy consumption, the parameters are adaptively regulated and controlled in the power generation process, the output voltage and the heat exchange efficiency are stabilized, and the gap is supplemented when the electric energy is insufficient.
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Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, specifically to a portable thermal power generation system and its power generation method. Background Technology

[0002] The portable thermoelectric power generation system is based on the Seebeck effect, directly converting the temperature difference between a heat source and a cold source into electrical energy through thermoelectric modules, eliminating the need for moving mechanical parts. The system integrates a micro-thermoelectric core, lightweight heat dissipation components, and a small energy storage unit, offering advantages such as small size, light weight, and high portability. It operates without noise, has a low failure rate, and requires minimal maintenance. It can be flexibly matched with various heat sources, such as small fuel heat sources, industrial waste heat, or solar collectors, primarily for outdoor power supply, emergency power supply, basic power supply in remote areas, and waste heat recovery from vehicles, meeting decentralized and mobile energy replenishment needs.

[0003] However, the deployment location of existing mobile thermal power generation equipment is mostly determined manually, making it difficult to adapt to the cold source in the long term, thus affecting the power generation effect.

[0004] To this end, we propose a portable thermoelectric power generation system and its power generation method. Summary of the Invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a portable thermoelectric power generation system and its power generation method, which can effectively solve the problems of the prior art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions; This invention discloses a portable thermoelectric power generation system, comprising: The system comprises the following modules: a sensing module, a recommendation module, and a control module. The sensing module collects parameters such as cold source temperature and distribution density in the environment using sensors pre-installed on the portable thermoelectric generator (TEG). The TEG receives the available cold source locations within the bounded environment and generates optimal deployment location suggestions for the TEG based on its efficiency requirements. The drive module receives location commands from the recommendation module and moves the TEG to the recommended optimal cold source location. The control module receives real-time feedback on the cold source status from the sensing module and adaptively adjusts the thermoelectric conversion parameters to ensure continuous power generation for the connected power consumer. The coordination module receives and stores the electrical energy output from the control module. When the output electrical energy from the thermoelectric conversion is insufficient to meet the power consumer's needs, the coordinated module transmits the stored energy to the control module to fill the power supply gap. The monitoring module, after the drive module completes, redirects to the sensing module to re-identify and mark available cold source locations within the bounded environment and generate new optimal deployment location suggestions. The sensing module is interactively connected to the recommendation module via a local area network. The recommendation module is interactively connected to the driving module and the control module via a local area network. The control module is interactively connected to the coordination module and the monitoring module via a local area network. The monitoring module is interactively connected to the sensing module via a wireless network.

[0007] Furthermore, the sensing module includes a multi-dimensional sensor array, a cold source stability analysis unit, and an available location determination unit; The multi-dimensional sensing array includes a distributed temperature sensor and a spatial density sensor, which respectively collect the real-time cold source temperature of each sampling point in the bounded environment, the cold source temperature fluctuation value within a preset sampling period, and the number of cold source points in the sampling area. The cold source stability analysis unit is used to calculate the cold source distribution density and the cold source temperature stability coefficient. ; In the formula: For cold source distribution density and cold source temperature stability coefficient; The number of cold source points within a preset sampling area, wherein the preset sampling area does not exceed the boundary of the bounded environment; The area of ​​the preset sampling region; This refers to the real-time temperature of the cold source. This represents the temperature fluctuation value of the cold source within the preset sampling period; Among them, the cold source points in the preset sampling area are preset by the system end user, or the spatial grid area obtained by the sensing module with its own location as the center and a predetermined size is used to determine the available location of the cold source. The available location determination unit will With preset density threshold, Compare with the preset stability coefficient threshold respectively, only when Not less than the preset density threshold and If the value is not less than the preset stability coefficient threshold, the sampling point is marked as a usable location for the cold source.

[0008] Furthermore, during the operation phase of the recommendation module, a coupled calculation model for thermoelectric power generation efficiency is constructed: ; In the formula: For thermoelectric power generation efficiency; The Seebeck coefficient for thermoelectric power generation equipment; This represents the actual temperature difference between the hot and cold ends of the equipment. Provides real-time output current for the equipment; Internal resistance of the equipment; The power loss due to heat exchange at the hot and cold ends of the equipment; During the operation phase of the recommendation module, all available locations of cold sources are first considered. The locations are sorted, and then the mobile energy consumption from the current location to the device is combined to calculate the ratio between the two. The location with the largest ratio is selected as the optimal deployment location.

[0009] Furthermore, the drive module includes a tracked moving mechanism, a real-time positioning unit, and a correction unit. The tracked moving mechanism and the carrying thermoelectric power generation equipment form a mobile thermoelectric power generation equipment, which is used to carry the thermoelectric power generation equipment for movement. The real-time positioning unit uses Beidou / GPS dual-mode positioning to collect the real-time coordinates of the equipment during the movement process and the density of temporary cold sources on the movement path. The correction unit calculates the position deviation during operation and then adjusts the movement parameters based on the path cold source interference coefficient. ; In the formula: This is for positional deviation; These are the real-time coordinates during the equipment's movement. The coordinates of the optimal deployment location; The path cold source interference coefficient; The density of temporary cold sources along the movement path, which is related to correspond; The preset cold source density threshold is used; To correct movement speed; The rated moving speed of the equipment; This is the preset deviation benchmark value; Among them, when When the preset deviation threshold is exceeded, the drive module presses... Adjust your movement speed while avoiding... Exceed Temporary cold source area.

[0010] Furthermore, during the operation of the control module, with the goals of stable output voltage and optimal heat exchange efficiency, a coupling relationship of thermoelectric conversion parameters is established. The process is as follows: Determine the target output voltage , The Seebeck coefficient represents the performance of a thermoelectric power generation device. Indicates the temperature difference between the hot and cold ends of the target. This indicates the real-time load current at the power consumption terminal. Indicates the internal resistance of the equipment; Determine the target heat transfer power , Indicates the specific heat capacity of the cold source medium. Indicates the equivalent mass of the cold source medium. Indicates the heat exchange response time; Real-time acquisition of output voltage deviation , Indicates the output voltage of the device, when When the voltage deviation exceeds the preset threshold, adjust the cold-end cooling fan speed and fine-tune the thermal conductivity of the hot end of the device until... The voltage deviation shall not exceed the preset voltage deviation threshold.

[0011] Furthermore, during the operation phase of the coordination module, a power distribution model is established synchronously: ; In the formula: This represents the real-time power gap. This refers to the total power demand at the power consumption end and the real-time output power of the thermoelectric conversion. For energy storage output power; The energy storage capacity coefficient; When the calculated real-time power gap When greater than zero, calculate Outputting electrical energy to the power consumer; Control the charging power when the device stores energy. , Indicates the charging protection factor; when ≤ and When the value is greater than 0, priority power supply to the power-consuming end is triggered.

[0012] Furthermore, during the operation of the monitoring module, three types of core status parameters are collected, including: ; In the formula: This is the cold source attenuation coefficient; Let be the cold source density coefficient at time t; The temperature stability coefficient at time t; The cold source density coefficient at the initial moment of equipment deployment; Temperature stability coefficient at the initial moment of equipment deployment; The rate of decrease in power generation efficiency; The thermoelectric power generation efficiency at the initial moment of equipment deployment; Let be the thermoelectric power generation efficiency at time t; For energy storage health; This refers to the number of times the stored energy is discharged. Let be the real-time output power during the i-th energy storage discharge process; The duration of the i-th energy storage and discharge process; This refers to the rated capacity of the energy storage. This is the rated voltage for energy storage; when Less than the preset cold source attenuation threshold, or When the efficiency decay exceeds the preset threshold, the sensing module is triggered to restart.

[0013] On the other hand, a portable thermoelectric power generation method includes: The mobile thermoelectric power generation equipment collects cold source temperature and distribution density parameters within the bounded environment using sensors pre-installed on it. It calculates the cold source distribution density and temperature stability coefficient, identifies and marks available cold source locations that meet threshold requirements. Upon receiving available cold source location information, it ranks the efficiency of each location based on a thermoelectric power generation efficiency coupling calculation model, determines the optimal deployment location based on the mobile energy consumption ratio, and receives the optimal deployment location command. It then moves the equipment via a tracked mobile mechanism, using BeiDou / GPS dual-mode positioning to collect real-time coordinates, corrects the movement speed based on the path cold source interference coefficient, and avoids interference areas. It acquires the real-time cold source status, establishes thermoelectric conversion parameter coupling relationships with the goal of stable output voltage and optimal heat exchange efficiency, and adjusts the cooling fan speed and hot-end thermal conductivity in real-time to ensure continuous power supply. It receives and stores the electrical energy output from the control module, establishes an energy distribution model to calculate the real-time power gap, and outputs stored electrical energy to supplement the gap when the gap is greater than zero, according to the energy storage capacity coefficient. After deployment, it collects cold source attenuation coefficient, power generation efficiency attenuation rate, and energy storage health parameters. When the cold source attenuation coefficient is lower than the threshold or the efficiency attenuation rate is higher than the threshold, it updates the available cold source location and the optimal deployment location.

[0014] Compared with the known prior art, the technical solution provided by this invention has the following beneficial effects: This invention provides a portable thermoelectric power generation system and its power generation method. During application, this system and method can pre-collect environmental cold source temperature and distribution density parameters, accurately identify available cold source locations within the bounded environment, and determine the optimal deployment location by combining thermoelectric power generation efficiency requirements with mobile energy consumption calculations. This reduces ineffective energy consumption and improves the scientific nature of deployment. It can also drive stable equipment movement, avoiding temporary cold source interference areas through real-time positioning, ensuring accurate arrival at the target location. Simultaneously, it can acquire the cold source status in real time, adaptively adjusting thermoelectric conversion parameters to maintain stable output voltage and optimal heat exchange efficiency, ensuring continuous power generation supply. It can supplement the power gap when thermoelectric conversion output is insufficient, and can trigger priority power supply to the user based on energy storage status. Furthermore, it monitors cold source attenuation, changes in power generation efficiency, and energy storage health, promptly re-identifying the cold source location and adjusting deployment to extend the efficient power generation cycle. Overall, it improves system adaptability and power supply stability, meeting the continuous power demand of the user. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0016] Figure 1 This is a schematic diagram of a portable thermoelectric power generation system. Figure 2 This is a schematic diagram of a portable thermoelectric power generation method. Figure 3 This is a schematic diagram illustrating an example of a spatial grid region in this invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0018] The present invention will be further described below with reference to embodiments.

[0019] Example 1: This embodiment provides a portable thermoelectric power generation system, such as... Figure 1 As shown, it includes: The sensing module is used to collect parameters such as the temperature and distribution density of cold sources in the environment through sensors pre-loaded on the portable thermoelectric power generation equipment, in order to identify and mark the available locations of cold sources in the bounded environment; The sensing module includes a multi-dimensional sensor array, a cold source stability analysis unit, and an available location determination unit; The multi-dimensional sensing array includes distributed temperature sensors and spatial density sensors, which respectively collect the real-time cold source temperature of each sampling point in the bounded environment, the cold source temperature fluctuation value within a preset sampling period, and the number of cold source points in the sampling area. The cold source stability analysis unit is used to calculate the cold source distribution density and the cold source temperature stability coefficient. ; In the formula: For cold source distribution density and cold source temperature stability coefficient; The number of cold source points within the preset sampling area is set, and the preset sampling area does not exceed the boundary of the bounded environment; The area of ​​the preset sampling region; This refers to the real-time temperature of the cold source. This represents the temperature fluctuation value of the cold source within the preset sampling period; The above formula determines the cold source distribution density by the ratio of the number of cold source points in the preset sampling area to the area of ​​the region. It can intuitively reflect the degree of cold source aggregation in a unit space, ensuring that areas with a sufficient number of cold sources are selected in the subsequent screening. At the same time, the temperature stability coefficient is calculated by correlating the real-time temperature of the cold source with the temperature fluctuation value within the preset sampling period. This can accurately assess the temperature fluctuation of the cold source and avoid the impact of drastic temperature changes on the stability of power generation. The two are then compared with the preset threshold to determine the usable location of the cold source. This takes into account both the quantity requirement of the cold source and the quality of the cold source, providing a reliable basis for equipment deployment. Among them, the cold source points in the preset sampling area are preset by the system end user, or the spatial grid area obtained by the sensing module with its own location as the center and a predetermined size is used to determine the available location of the cold source. That is, the center of each spatial grid area, the optimal placement position of the mobile thermoelectric power generation equipment during the operation of the sensing module is the center position within the bounded environment. The available position determination unit will With preset density threshold, Compare with the preset stability coefficient threshold respectively, only when Not less than the preset density threshold and If the value is not less than the preset stability coefficient threshold, the sampling point is marked as a usable location for the cold source; The recommendation module is used to receive the available locations of cold sources within the bounded environment and generate suggestions for the optimal deployment locations of mobile thermoelectric power generation equipment based on the efficiency requirements of thermoelectric power generation. During the recommended module's runtime phase, a coupled calculation model for thermoelectric power generation efficiency is constructed: ; In the formula: For thermoelectric power generation efficiency; The Seebeck coefficient for thermoelectric power generation equipment; This represents the actual temperature difference between the hot and cold ends of the equipment. Provides real-time output current for the equipment; Internal resistance of the equipment; The power loss due to heat exchange at the hot and cold ends of the equipment; The above formula constructs a power generation efficiency calculation model based on the Seebeck coefficient of the thermoelectric power generation equipment, the actual temperature difference between the hot and cold ends, the real-time output current, the internal resistance, and the heat exchange loss power. The heat exchange loss power is derived from the total heat input at the hot end and the heat exchange efficiency. It can comprehensively consider the impact of the equipment's own parameters and energy loss on the power generation efficiency, and truly reflect the actual power generation capacity of the equipment. On this basis, the optimal deployment location is selected by combining the efficiency ranking of the available cold source locations with the ratio of mobile energy consumption. This prioritizes areas with high power generation efficiency while avoiding the overall energy efficiency decline due to excessive energy consumption during the relocation process, thus achieving a balance between efficiency and energy consumption. in, , This represents the total heat input at the hot end, which is actually the total heat input at the hot end per unit time, i.e., the thermal power. Indicates the heat exchange efficiency of the equipment; During the recommended module's operation phase, first check all available locations of cold sources. Sort the locations and then combine the mobile energy consumption from the current location to the device's current point to calculate the ratio between the two. The location with the largest ratio is the optimal deployment location. The drive module receives the position instructions from the recommendation module and drives the mobile thermoelectric power generation equipment to move and adjust the equipment to the recommended optimal location corresponding to the cold source. The drive module includes a tracked moving mechanism, a real-time positioning unit, and a correction unit. The tracked moving mechanism and the carried thermoelectric power generation equipment form a mobile thermoelectric power generation equipment, which is used to move the thermoelectric power generation equipment. The real-time positioning unit uses Beidou / GPS dual-mode positioning to collect the real-time coordinates of the equipment during the movement process and the density of temporary cold sources on the movement path. Correct the positional deviation calculated during the unit operation phase, and then adjust the movement parameters based on the path cold source interference coefficient: ; In the formula: This is for positional deviation; These are the real-time coordinates during the equipment's movement. The coordinates of the optimal deployment location; The path cold source interference coefficient; The density of temporary cold sources along the movement path, which is related to correspond; The preset cold source density threshold is used; To correct movement speed; The rated moving speed of the equipment; This is the preset deviation benchmark value; The above formula calculates the position deviation by the Euclidean distance between the real-time coordinates of the equipment and the coordinates of the optimal deployment position. This allows for precise control of the degree of deviation during equipment movement. The path cold source interference coefficient is determined by the ratio of the difference between the temporary cold source density and the preset cold source density threshold on the movement path. This effectively quantifies the interference intensity of the cold source on the equipment movement. Combined with the rated movement speed, position deviation, and interference coefficient, the movement speed is derived and corrected, enabling the equipment movement speed to be dynamically adjusted according to the deviation and cold source interference. Among them, when When the preset deviation threshold is exceeded, the drive module presses... Adjust your movement speed while avoiding... Exceed Temporary cold source area; It should be noted that, The formula represents a dynamic balance between the dual objectives of "cold source interference avoidance" and "movement accuracy." The exponential decay term in the formula acts as a combined factor to regulate speed based on the path's cold source interference coefficient: when the equipment is in a long-distance movement phase, if the temporary cold source density along the path does not exceed a preset threshold, then... Approaching 0, at this point Approaching 1, the speed is mainly determined by Determined by the rated speed, although it decreases slightly with increasing distance, it can still move horizontally at a speed close to the rated speed; and when there are... Exceed When a temporary cold source area is used, Increase Reducing the speed at this point prevents the equipment from misjudging temporary cold sources as usable locations, reduces ineffective energy consumption, and allows time for the real-time positioning unit to correct its path. Furthermore, the formula states that "only when Δd exceeds the preset deviation threshold will the action be taken..." The "adjustment" constraint further ensures that when there is no interference at a long distance, the equipment moves at the rated speed first, and only slows down when approaching the target or when there is interference, thus balancing movement efficiency and positioning accuracy. The control module is used to obtain the real-time feedback of the cold source status from the sensing module, and adaptively adjust the thermoelectric conversion parameters of the equipment to enable the equipment to continuously generate electricity and supply the power to the connected end of the equipment. During the control module's operation phase, with the goals of stable output voltage and optimal heat exchange efficiency, the coupling relationship of thermoelectric conversion parameters is established. The process is as follows: Determine the target output voltage , The Seebeck coefficient represents the performance of a thermoelectric power generation device. Indicates the temperature difference between the hot and cold ends of the target. This indicates the real-time load current at the power consumption terminal. Indicates the internal resistance of the equipment; Determine the target heat transfer power , Indicates the specific heat capacity of the cold source medium. Indicates the equivalent mass of the cold source medium. Indicates the heat exchange response time; The above formula derives the target output voltage based on the Seebeck coefficient of the thermoelectric power generation equipment, the target cold and hot end temperature difference, the real-time load current and internal resistance of the power consumption end. This ensures that the output voltage matches the load demand of the power consumption end, avoiding the impact of voltage mismatch on the normal operation of the power consumption end. By combining the specific heat capacity, equivalent mass, target cold and hot end temperature difference and heat exchange response time of the cold source medium, the target heat exchange power can be calculated, which can accurately control the heat exchange process at the cold and hot ends and ensure that the equipment can stably reach the target power generation state. Real-time acquisition of output voltage deviation , Indicates the output voltage of the device, when When the voltage deviation exceeds the preset threshold, adjust the cold-end cooling fan speed and fine-tune the thermal conductivity of the hot end of the device until... The voltage deviation shall not exceed the preset voltage deviation threshold. It should be noted that when fine-tuning the thermal conductivity of the hot end of the equipment, either of the following two methods can be used: First, the pressure at the interface between the hot end and the heat source is finely adjusted. The contact thermal resistance is adjusted by changing the contact surface fit (the change in contact thermal resistance is directly related to the equivalent thermal conductivity). For example, the contact pressure can be increased or decreased by a micro pressure adjustment component so that the thermal conductivity of the hot end can be adapted to the temperature difference between the target hot and cold ends. Secondly, control the flow rate or type of the heat transfer medium at the hot end. For example, use a micro valve to adjust the circulation rate of the liquid heat transfer medium, or switch solid heat transfer pads with different thermal conductivity to dynamically adjust the overall thermal conductivity of the hot end. This ensures that the adjustment of the speed of the cooling fan at the cold end works in synergy with the adjustment of the cooling fan speed at the cold end to control the output voltage deviation within the preset threshold and maintain the stable thermoelectric conversion efficiency of the equipment. The coordination module is used to receive electrical energy output from the control module, store the electrical energy, and transmit the stored electrical energy to the control module when the electrical energy output from the thermoelectric conversion cannot meet the needs of the power consumption end, so as to supplement the power supply and demand gap. During the operation of the coordination module, a power distribution model is established synchronously: ; In the formula: This represents the real-time power gap. This refers to the total power demand at the power consumption end and the real-time output power of the thermoelectric conversion. For energy storage output power; The energy storage capacity coefficient, , Indicates the real-time remaining battery power. This indicates the preset threshold for full charge and minimum charge level of the energy storage. When the calculated real-time power gap When greater than zero, calculate Outputting electrical energy to the power consumer; Control the charging power when the device stores energy. , Indicates the charging protection factor; when ≤ and When the value is greater than 0, priority power supply to the power consumption terminal is triggered; The above formula determines the energy storage power coefficient by the ratio of the difference between the real-time remaining energy of the energy storage and the preset minimum and full charge thresholds. This clearly reflects the current energy status of the energy storage and provides a quantitative basis for energy allocation. The real-time power gap is calculated by the difference between the total power demand at the power end and the real-time output power of the thermoelectric conversion. This allows for an accurate understanding of the imbalance between power supply and demand, enabling timely activation of energy storage for replenishment. When charging the energy storage, the charging power is calculated by combining the power difference and the charging protection coefficient, ensuring efficient charging of the energy storage while avoiding damage to the equipment due to overcharging. in, ∈ (0,1) when At higher levels, The larger the value, the lower the value. The smaller the value; The monitoring module is used to jump to the sensing module to run again after the driving module ends, in order to re-identify and mark the available locations of cold sources within the bounded environment and generate new optimal deployment location suggestions; During the monitoring module's operation, three types of core status parameters are collected, including: ; In the formula: This is the cold source attenuation coefficient; Let be the cold source density coefficient at time t; The temperature stability coefficient at time t; The cold source density coefficient at the initial moment of equipment deployment; Temperature stability coefficient at the initial moment of equipment deployment; The rate of decrease in power generation efficiency; The thermoelectric power generation efficiency at the initial moment of equipment deployment; Let be the thermoelectric power generation efficiency at time t; For energy storage health; This refers to the number of times the stored energy is discharged. Let be the real-time output power during the i-th energy storage discharge process; The duration of the i-th energy storage and discharge process; This refers to the rated capacity of the energy storage. This is the rated voltage for energy storage; The above formula determines the energy storage power coefficient by the ratio of the difference between the real-time remaining energy of the energy storage and the preset minimum and full charge thresholds. This can clearly reflect the current energy status of the energy storage and provide a quantitative basis for energy allocation. The real-time power gap can be calculated by the difference between the total power demand at the power end and the real-time output power of the thermoelectric conversion. This can accurately grasp the imbalance between power supply and demand, so as to activate the energy storage to replenish energy in a timely manner. When charging the energy storage, the charging power is calculated by combining the power difference and the charging protection coefficient, which not only ensures efficient charging of the energy storage, but also avoids damage to the energy storage equipment due to overcharging. when Less than the preset cold source attenuation threshold, or When the efficiency decay exceeds the preset threshold, the sensing module is triggered to restart. When the monitoring module and sensing module restart, they first send a command to the coordination module to prioritize power supply to the core load. Never less than ; When the driver module The deviation is greater than the preset threshold and the sensing module detects a deviation on the path. > At that time, high-density cold source areas on the original moving path that exceed the preset density threshold are recorded as potential usable locations and applied to the target processing of the recommendation module; The sensing module is interconnected with the recommendation module via a local area network. The recommendation module is interconnected with the driving module and the control module via a local area network. The control module is interconnected with the coordination module and the monitoring module via a local area network. The monitoring module is interconnected with the sensing module via a wireless network.

[0020] In this embodiment, the sensing module collects cold source temperature and distribution density parameters in the environment through sensors pre-loaded on the portable thermoelectric power generation device to identify and mark available cold source locations within the bounded environment. The recommendation module, running subsequently, receives the available cold source locations within the bounded environment and generates optimal deployment location suggestions for the portable thermoelectric power generation device based on thermoelectric power generation efficiency requirements. The drive module then receives the location instructions from the recommendation module and drives the portable thermoelectric power generation device to move and adjust it to the recommended optimal cold source location. The control module further obtains the cold source status fed back in real time from the sensing module and adaptively adjusts the device's thermoelectric conversion parameters to enable continuous power generation, supplying power to the device's connected power consumption end. The coordination module receives the electrical energy output from the control module and stores it. Simultaneously, when the electrical energy output from the thermoelectric conversion cannot meet the power consumption end's operating needs, it transmits the stored electrical energy to the control module to supplement the power supply and demand gap. Finally, the monitoring module, after the drive module ends, jumps back to the sensing module to run again, to re-identify and mark available cold source locations within the bounded environment and generate new optimal deployment location suggestions.

[0021] The system in the above embodiments can accurately collect ambient cold source temperature and distribution parameters to identify available cold sources, determine the optimal deployment point by combining power generation efficiency requirements and mobile energy consumption, adaptively adjust parameters during power generation, stabilize output voltage and heat exchange efficiency, supplement the gap when power is insufficient, and monitor the cold source and power generation status in real time, promptly re-adapt to the cold source, greatly improve power generation efficiency and stability, continuously meet the needs of the power end, and adapt to environmental changes.

[0022] See Figure 3 As shown in the figure, this figure further illustrates the shape of the spatial grid region, with the charged point shown as the center point of the spatial grid region.

[0023] Example 2: At the implementation level, based on Example 1, this example refers to... Figure 2 A more detailed description of a portable thermoelectric power generation system in Example 1 is provided below: A portable thermoelectric power generation method, comprising: The temperature and distribution density parameters of cold sources in the bounded environment are collected by sensors pre-loaded on the mobile thermoelectric power generation equipment. The distribution density and temperature stability coefficient of cold sources are calculated, and the available locations of cold sources that meet the threshold requirements are identified and marked. Receive information on available cold source locations, rank the efficiency of each location based on a coupled thermoelectric power generation efficiency calculation model, and determine the optimal deployment location based on the ratio of mobile energy consumption calculation. Receives instructions for the optimal deployment location, drives the equipment to move via a tracked mobile mechanism, collects real-time coordinates using BeiDou / GPS dual-mode positioning, and corrects the moving speed based on the path cold source interference coefficient to avoid interference areas; The system acquires real-time cold source status, establishes thermoelectric conversion parameter coupling relationships with the goal of stable output voltage and optimal heat exchange efficiency, and adjusts the cooling fan speed and thermal conductivity at the hot end in real time to ensure continuous power supply to the equipment. The system receives and stores electrical energy output from the control module, establishes an energy distribution model to calculate the real-time power gap, and outputs stored electrical energy to supplement the gap when the gap is greater than zero, according to the energy storage capacity coefficient. After the equipment is deployed, the cold source attenuation coefficient, power generation efficiency attenuation rate and energy storage health parameters are collected. When the cold source attenuation coefficient is lower than the threshold or the efficiency attenuation rate is higher than the threshold, the available cold source location and the optimal deployment location are updated.

[0024] In summary, the system and method described in the above embodiments can pre-collect environmental cold source temperature and distribution density parameters, accurately identify available cold source locations within the bounded environment, and determine the optimal deployment location by combining thermoelectric power generation efficiency requirements and mobile energy consumption calculations. This reduces ineffective energy consumption and improves the scientific nature of deployment. It can also drive stable equipment movement, avoid temporary cold source interference areas through real-time positioning, and ensure accurate arrival at the target location. Simultaneously, it can acquire the cold source status in real time, adaptively adjust thermoelectric conversion parameters to maintain stable output voltage and optimal heat exchange efficiency, ensuring continuous power generation supply. When thermoelectric conversion output is insufficient, it can supplement the power gap and trigger priority power supply to the user based on the energy storage status. In addition, it monitors cold source attenuation, changes in power generation efficiency, and energy storage health, promptly re-identifying the cold source location and adjusting the deployment to extend the high-efficiency power generation cycle. Overall, it improves the system's adaptability and power supply stability, meeting the continuous power demand of the user.

[0025] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A portable thermoelectric power generation system, characterized in that, include: The sensing module is used to collect parameters such as the temperature and distribution density of cold sources in the environment through sensors pre-loaded on the portable thermoelectric power generation equipment, in order to identify and mark the available locations of cold sources in the bounded environment; The recommendation module is used to receive the available locations of cold sources within the bounded environment and generate suggestions for the optimal deployment locations of mobile thermoelectric power generation equipment based on the efficiency requirements of thermoelectric power generation. The drive module receives the position instructions from the recommendation module and drives the mobile thermoelectric power generation equipment to move and adjust the equipment to the recommended optimal location corresponding to the cold source. The control module is used to obtain the real-time feedback of the cold source status from the sensing module, and adaptively adjust the thermoelectric conversion parameters of the equipment to enable the equipment to continuously generate electricity and supply the power to the connected end of the equipment. The coordination module is used to receive electrical energy output from the control module, store the electrical energy, and transmit the stored electrical energy to the control module when the electrical energy output from the thermoelectric conversion cannot meet the needs of the power consumption end, so as to supplement the power supply and demand gap. The monitoring module is used to jump to the sensing module to run again after the driving module ends, in order to re-identify and mark the available locations of cold sources within the bounded environment and generate new optimal deployment location suggestions.

2. The portable thermoelectric power generation system according to claim 1, characterized in that, The sensing module includes a multi-dimensional sensor array, a cold source stability analysis unit, and an available location determination unit. The multi-dimensional sensing array includes a distributed temperature sensor and a spatial density sensor, which respectively collect the real-time cold source temperature of each sampling point in the bounded environment, the cold source temperature fluctuation value within a preset sampling period, and the number of cold source points in the sampling area. The cold source stability analysis unit is used to calculate the cold source distribution density and the cold source temperature stability coefficient. ; In the formula: For cold source distribution density and cold source temperature stability coefficient; The number of cold source points within a preset sampling area, wherein the preset sampling area does not exceed the boundary of the bounded environment; The area of ​​the preset sampling region; This refers to the real-time temperature of the cold source. This represents the temperature fluctuation value of the cold source within the preset sampling period; Among them, the cold source points in the preset sampling area are preset by the system end user, or the spatial grid area obtained by the sensing module with its own location as the center and a predetermined size is used to determine the available location of the cold source. The available location determination unit will With preset density threshold, Compare with the preset stability coefficient threshold respectively, only when Not less than the preset density threshold and If the value is not less than the preset stability coefficient threshold, the sampling point is marked as a usable location for the cold source.

3. A portable thermoelectric power generation system according to claim 1, characterized in that, The recommendation module constructs a coupled calculation model for thermoelectric power generation efficiency during its operation phase: ; In the formula: For thermoelectric power generation efficiency; The Seebeck coefficient for thermoelectric power generation equipment; This represents the actual temperature difference between the hot and cold ends of the equipment. Provides real-time current output for the equipment; Internal resistance of the equipment; The power loss due to heat exchange at the hot and cold ends of the equipment; During the operation phase of the recommendation module, all available locations of cold sources are first considered. The locations are sorted, and then the mobile energy consumption from the current location to the device is combined to calculate the ratio between the two. The location with the largest ratio is selected as the optimal deployment location.

4. A portable thermoelectric power generation system according to claim 1, characterized in that, The drive module includes a tracked moving mechanism, a real-time positioning unit, and a correction unit. The tracked moving mechanism and the carried thermoelectric power generation equipment form a mobile thermoelectric power generation equipment, which is used to move the thermoelectric power generation equipment. The real-time positioning unit uses Beidou / GPS dual-mode positioning to collect the real-time coordinates of the equipment during the movement process and the density of temporary cold sources on the movement path. The correction unit calculates the position deviation during operation and then adjusts the movement parameters based on the path cold source interference coefficient. ; In the formula: This is for positional deviation; These are the real-time coordinates during the equipment's movement. The coordinates of the optimal deployment location; The path cold source interference coefficient; The density of temporary cold sources along the movement path, which is related to correspond; The preset cold source density threshold is used; To correct movement speed; The rated moving speed of the equipment; This is the preset deviation benchmark value; Among them, when When the preset deviation threshold is exceeded, the drive module presses... Adjust your movement speed while avoiding... Exceed Temporary cold source area.

5. A portable thermoelectric power generation system according to claim 1, characterized in that, During the operation of the control module, with the goals of stable output voltage and optimal heat exchange efficiency, a coupling relationship of thermoelectric conversion parameters is established. The process is as follows: Determine the target output voltage , The Seebeck coefficient represents the performance of a thermoelectric power generation device. Indicates the temperature difference between the hot and cold ends of the target. This indicates the real-time load current at the power consumption terminal. Indicates the internal resistance of the equipment; Determine the target heat transfer power , Indicates the specific heat capacity of the cold source medium. Indicates the equivalent mass of the cold source medium. Indicates the heat exchange response time; Real-time acquisition of output voltage deviation , Indicates the output voltage of the device, when When the voltage deviation exceeds the preset threshold, adjust the cold-end cooling fan speed and fine-tune the thermal conductivity of the hot end of the device until... The voltage deviation shall not exceed the preset voltage deviation threshold.

6. A portable thermoelectric power generation system according to claim 1, characterized in that, During the operation phase of the coordination module, a power distribution model is established synchronously: ; In the formula: This represents the real-time power gap. This refers to the total power demand at the power consumption end and the real-time output power of the thermoelectric conversion. For energy storage output power; The energy storage capacity coefficient; When the calculated real-time power gap When greater than zero, calculate Outputting electrical energy to the power consumer; Control the charging power when the device stores energy. , Indicates the charging protection factor; when ≤ and When the value is greater than 0, priority power supply to the power-consuming end is triggered.

7. A portable thermoelectric power generation system according to claim 1, characterized in that, During the operation of the monitoring module, three types of core status parameters are collected, including: ; In the formula: This is the cold source attenuation coefficient; Let be the cold source density coefficient at time t; The temperature stability coefficient at time t; The cold source density coefficient at the initial moment of equipment deployment; Temperature stability coefficient at the initial moment of equipment deployment; The rate of decrease in power generation efficiency; The thermoelectric power generation efficiency at the initial moment of equipment deployment; Let be the thermoelectric power generation efficiency at time t; For energy storage health; This refers to the number of times the stored energy is discharged. Let be the real-time output power during the i-th energy storage discharge process; The duration of the i-th energy storage and discharge process; This refers to the rated capacity of the energy storage. This is the rated voltage for energy storage; when Less than the preset cold source attenuation threshold, or When the efficiency decay exceeds the preset threshold, the sensing module is triggered to restart.

8. A portable thermoelectric power generation system according to claim 1, characterized in that, The sensing module is interactively connected to the recommendation module via a local area network. The recommendation module is interactively connected to the driving module and the control module via a local area network. The control module is interactively connected to the coordination module and the monitoring module via a local area network. The monitoring module is interactively connected to the sensing module via a wireless network.

9. A portable thermoelectric power generation method, wherein the method is an implementation method of a portable thermoelectric power generation system as described in any one of claims 1-8, characterized in that, include: The temperature and distribution density parameters of cold sources in the bounded environment are collected by sensors pre-loaded on the mobile thermoelectric power generation equipment. The distribution density and temperature stability coefficient of cold sources are calculated, and the available locations of cold sources that meet the threshold requirements are identified and marked. Receive information on available cold source locations, rank the efficiency of each location based on a coupled thermoelectric power generation efficiency calculation model, and determine the optimal deployment location based on the ratio of mobile energy consumption calculation. Receives instructions for the optimal deployment location, drives the equipment to move via a tracked mobile mechanism, collects real-time coordinates using BeiDou / GPS dual-mode positioning, and corrects the moving speed based on the path cold source interference coefficient to avoid interference areas; The system acquires real-time cold source status, establishes thermoelectric conversion parameter coupling relationships with the goal of stable output voltage and optimal heat exchange efficiency, and adjusts the cooling fan speed and thermal conductivity at the hot end in real time to ensure continuous power supply to the equipment. The system receives and stores electrical energy output from the control module, establishes an energy distribution model to calculate the real-time power gap, and outputs stored electrical energy to supplement the gap when the gap is greater than zero, according to the energy storage capacity coefficient. After the equipment is deployed, the cold source attenuation coefficient, power generation efficiency attenuation rate and energy storage health parameters are collected. When the cold source attenuation coefficient is lower than the threshold or the efficiency attenuation rate is higher than the threshold, the available cold source location and the optimal deployment location are updated.