Power and heat cooperative control system suitable for mobile power supply and self-adaptive control method of power and heat cooperative control system

Abstract

The invention discloses a power and heat cooperative control system, method and platform suitable for a mobile power supply, and the scheme of the invention constructs a pipeline state monitoring system which integrates multi-mode sensing, adaptive signal processing and intelligent diagnosis into a whole, and through multi-source information fusion and dynamic parameter optimization, the power and heat cooperative control of the mobile power supply is realized. The reliability and the positioning precision of pipeline tiny anomaly detection in a complex environment are remarkably improved; the energy autonomous design guarantees the long-term passive operation of the system, and the intelligent analysis architecture based on cloud-side cooperation not only realizes real-time accurate diagnosis, but also can carry out prospective evaluation on the health state of the pipeline through a predictive model, thereby promoting the fundamental transformation of pipeline operation and maintenance from passive response to active prevention.

Description

Technical Field

[0001] This invention belongs to the field of power management technology for electronic devices, specifically relating to a power and thermal coordinated control system and its adaptive control method suitable for mobile power supplies. Background Technology

[0002] With the widespread adoption of smart mobile devices and the rapid development of fast charging technology, high-power, high-energy-density power banks have become necessities. However, in the pursuit of higher charging power (such as 100W and above), the heat generated inside the power bank increases dramatically, posing serious challenges to efficiency, safety, and reliability.

[0003] Current mainstream fast charging solutions for power banks primarily focus on optimizing the battery cell chemistry, fast charging protocol compatibility, and power conversion topology. Their thermal management often employs passive methods, such as adding heat sinks, using thermal pads, or implementing simple power reduction or shutdown protection when the temperature exceeds a safety threshold. This control strategy is essentially "remedial" and "adversarial": the power module strives for maximum output, while the thermal management module reacts passively, resulting in a disconnect between their objectives.

[0004] In existing technologies, control decisions are primarily based on electrical parameters such as voltage, current, and charge, with temperature serving only as a trigger condition for safety protection and not being actively incorporated as a "control variable" into the closed loop of power optimization. This prevents the system from finding the dynamically optimal operating point within the contradictory triangle of "efficiency-heat generation-safety." Furthermore, power output and heat dissipation are controlled by independent logic, lacking top-level coordination. For example, the system only activates the fan and reduces power when the temperature approaches a threshold. This lag and oscillating control method not only results in a poor user experience (unstable charging speed) but also exacerbates thermal fatigue of components.

[0005] Furthermore, existing technologies often employ control strategies based on preset, fixed curves, failing to detect changes in internal heat distribution, component aging, and ambient temperature fluctuations. They lack the ability to predict and adjust based on real-time conditions. As battery cells and components age, existing control strategies may become less optimal or even pose safety hazards.

[0006] Therefore, in order to address the technical shortcomings of the aforementioned single control dimension, poor system coordination, and lack of foresight and adaptability, there is an urgent need to design and develop a power and thermal coordinated control system and its adaptive control method suitable for mobile power supplies. Summary of the Invention

[0007] To overcome the shortcomings and difficulties of the existing technology, this invention provides a power and thermal coordinated control system and its adaptive control method suitable for mobile power supplies, which can fundamentally solve the contradiction between power and heat and realize system-level intelligent coordinated control.

[0008] The first objective of this invention is to provide a power and thermal coordinated control system suitable for mobile power supplies; the second objective of this invention is to provide an adaptive control method suitable for mobile power supplies. The first objective of this invention is achieved as follows: the system includes a state sensing module for acquiring electrical parameters and multi-point temperature information of a mobile power supply in real time; and a collaborative control processor coupled to the state sensing module for generating a synchronous control instruction set by performing collaborative optimization decisions based on the electrical parameters and multi-point temperature information through an internal algorithm model. The system also includes a power execution module coupled to the collaborative control processor and used to adjust the output power of the power bank according to the power control instructions collected by the synchronization control instructions; and a thermal management execution module coupled to the collaborative control processor and used to adjust the heat dissipation state of the power bank according to the thermal management instructions collected by the synchronization control instructions. The collaborative control processor is configured to dynamically solve and synchronously output the power control command and thermal management control command with the goal of maintaining the maximum sustainable charging power of the mobile power source within a safe temperature threshold.

[0009] Furthermore, the cooperative control processor includes a system state observer and a cooperative optimization controller; The system state observer is used to estimate the real-time internal state parameters of the mobile power supply based on the electrical parameters and multi-point temperature information, through a preset thermoelectric coupling model; wherein, the internal state parameters include at least one of the following: system instantaneous efficiency, core node heat flux density, and overall thermal resistance variation trend; The collaborative optimization controller is used to generate the synchronous control instruction set by taking the real-time internal state parameters and preset constraints as inputs and maximizing the average charging power within a preset future time period as the optimization objective.

[0010] Furthermore, the collaborative optimization controller employs a model predictive control algorithm; The synchronous control instruction set includes the target output voltage and target output current of the power execution module in the current control cycle, as well as the target fan speed and / or target thermoelectric working mode of the thermal management execution module.

[0011] Furthermore, the thermal management execution module includes an active heat dissipation unit and a passive heat conduction unit; The active heat dissipation unit includes a controllable speed fan and / or a semiconductor cooling chip; the passive heat conduction unit includes a phase change thermally conductive material layer disposed between the battery cell and the circuit board.

[0012] Furthermore, the state sensing module also includes a distributed temperature sensor network; wherein the deployment points of the temperature sensor network at least cover the surface of the battery cell, the surface of the power device, the printed circuit board area, and the inner wall of the housing.

[0013] The second objective of this invention is achieved as follows: the method is applied to the power and thermal coordination control system suitable for mobile power supplies; the method includes the following steps: Generate and acquire first data corresponding to the power bank; wherein, the first data is multi-dimensional status information, including electrical parameters and spatial temperature distribution information; Based on the first data, and in conjunction with the system state observer, second data corresponding to the power bank is created and generated; wherein, the second data is the thermoelectric coupling state data inside the power bank; Using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, at least one set of corresponding third data is generated through collaborative optimization processing, and the third data is simultaneously sent out and executed; wherein, the third data is the optimal power output parameters and thermal management parameters.

[0014] Furthermore, the step of creating and generating second data corresponding to the mobile power bank based on the first data and in conjunction with the system state observer also includes: A first model corresponding to the power bank is created, and the electrical parameters and temperature information are input into the first model; wherein, the first model is a preset joint observation model based on the thermodynamic and electrical characteristics of the power bank; The first model generates corresponding fourth data for the system's instantaneous efficiency, cell chemical heating rate, and power device junction temperature; wherein the fourth data is a real-time estimated value.

[0015] Furthermore, the step of generating at least one set of corresponding third data through collaborative optimization, using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, and simultaneously sending and executing the third data, also includes: A second model is constructed, which includes an objective function and constraints. The second model is an optimization problem model. The objective function is to maximize the cumulative charging energy or the average charging power over the next N control cycles. The constraints include that the temperature at each monitoring point does not exceed its safety threshold, the output voltage and current are within the range allowed by the fast charging protocol, and the system efficiency is not lower than the minimum required value. In each control cycle, the second model is solved and the corresponding fifth data is generated. The first set of control variables in the fifth data is used as the power output parameters and thermal management parameters for the current cycle. The fifth data is the optimal control sequence.

[0016] Furthermore, the step of generating at least one set of corresponding third data through collaborative optimization, using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, and simultaneously sending and executing the third data, also includes: The power output parameters and thermal management parameters are sent to the power regulation unit and thermal management execution unit respectively through different control channels in a time-aligned manner, and the two start execution simultaneously or nearly simultaneously.

[0017] Furthermore, the method also includes an adaptive learning step: recording actual state response data during the charging process; The actual state response data is compared with the observer's predicted data, and the model parameters in the system state observer are corrected online based on the comparison results, so that the observation model gradually approximates the actual aging and operating condition changes of the mobile power supply.

[0018] This invention comprises a system including a state-sensing module for real-time acquisition of electrical parameters and multi-point temperature information of a power bank; a collaborative control processor coupled to the state-sensing module for generating a synchronous control instruction set by performing collaborative optimization decisions based on the electrical parameters and multi-point temperature information using an internal algorithm model; a power execution module coupled to the collaborative control processor for adjusting the output power of the power bank according to power control instructions in the synchronous control instruction set; and a thermal management execution module coupled to the collaborative control processor for adjusting the heat dissipation state of the power bank according to thermal management control instructions in the synchronous control instruction set. The collaborative control processor is configured to dynamically solve for and synchronously output the power control instructions and thermal management control instructions with the goal of maintaining the maximum sustainable charging power of the power bank within a safe temperature threshold. This system enables power and thermal collaborative control that maximizes continuous fast charging capability under safe conditions and possesses system-level collaborative optimization and adaptive learning capabilities.

[0019] In other words, the present invention achieves a fundamental shift from passive thermal protection to intelligent thermal control by using temperature as an active control variable and co-optimizing it with power output at the system level. This enables the power bank to dynamically maintain the maximum sustainable charging power within a safe threshold, improving the average power, system stability, and lifecycle adaptability during fast charging. It also resolves the inherent contradiction between efficiency and heat dissipation in high-power fast charging. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of a power and thermal coordinated control system architecture suitable for mobile power supplies according to the present invention. Figure 2 This is a schematic diagram of one embodiment of a power and thermal coordinated control system for mobile power supplies according to the present invention; Figure 3 This is a schematic diagram of the architecture of a second embodiment of the power and thermal coordinated control system for mobile power supplies according to the present invention; Figure 4 This is a schematic diagram of the process steps of an adaptive control method for mobile power supplies according to the present invention. Figure 5 This is a schematic diagram of the process steps of one embodiment of the adaptive control method for mobile power supplies according to the present invention; Figure 6 This is a schematic diagram of the process steps of a second embodiment of the adaptive control method for mobile power supplies according to the present invention; Figure 7 This is a schematic diagram of the process framework of one embodiment of the adaptive control method for mobile power supply according to the present invention; Figure 8 This is a schematic diagram of a power and thermal collaborative control platform architecture suitable for mobile power supplies according to the present invention. Detailed Implementation

[0022] To facilitate a clearer understanding of the objectives, technical solutions, and advantages of this invention, the invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Those skilled in the art can easily understand other advantages and effects of this invention from the content disclosed in this specification.

[0023] This invention can also be implemented or applied through other different specific examples, and various details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of this invention.

[0024] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0025] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Secondly, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0026] Preferably, the power and thermal adaptive control method of the present invention for mobile power supplies is applied in one or more terminals or servers. The terminal is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0027] The terminal can be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal can interact with the customer via a keyboard, mouse, remote control, touchpad, or voice control device.

[0028] like Figure 4 The diagram shown is a flowchart of a power and thermal adaptive control method for mobile power supplies provided in an embodiment of the present invention.

[0029] In this embodiment, the power and thermal adaptive control method applicable to mobile power supplies can be applied to terminals or fixed terminals with display functions. The terminals are not limited to personal computers, smartphones, tablets, desktop computers or all-in-one computers with cameras, etc.

[0030] The power and thermal adaptive control method for mobile power banks can also be applied to a hardware environment consisting of a terminal and a server connected to the terminal via a network. The network includes, but is not limited to, a wide area network (WAN), a metropolitan area network (MAN), or a local area network (LAN). The power and thermal adaptive control method for mobile power banks in this embodiment can be executed by the server, by the terminal, or by both the server and the terminal.

[0031] For example, for terminals requiring power and thermal coordination control suitable for power banks, the power and thermal coordination control functions provided by the method of this invention can be directly integrated into the terminal, or a client application for implementing the method of this invention can be installed. Alternatively, the method provided by this invention can also run on servers or other devices in the form of a Software Development Kit (SDK), providing an interface for power and thermal coordination control functions suitable for power banks. Terminals or other devices can then implement the power and thermal coordination control functions suitable for power banks through the provided interface. The invention will be further described below with reference to the accompanying drawings.

[0032] like Figures 1-3 As shown, the present invention provides a power and thermal collaborative control system suitable for mobile power banks. The system includes a state sensing module for acquiring electrical parameters and multi-point temperature information of the mobile power bank in real time; and a collaborative control processor coupled to the state sensing module for performing collaborative optimization decisions based on the electrical parameters and multi-point temperature information through an internal algorithm model to generate a synchronous control instruction set. The system also includes a power execution module coupled to the collaborative control processor and used to adjust the output power of the power bank according to the power control instructions collected by the synchronization control instructions; and a thermal management execution module coupled to the collaborative control processor and used to adjust the heat dissipation state of the power bank according to the thermal management instructions collected by the synchronization control instructions. The collaborative control processor is configured to dynamically solve and synchronously output the power control command and thermal management control command with the goal of maintaining the maximum sustainable charging power of the mobile power source within a safe temperature threshold.

[0033] The cooperative control processor includes a system state observer and a cooperative optimization controller; The system state observer is used to estimate the real-time internal state parameters of the mobile power supply based on the electrical parameters and multi-point temperature information, through a preset thermoelectric coupling model; wherein, the internal state parameters include at least one of the following: system instantaneous efficiency, core node heat flux density, and overall thermal resistance variation trend; The collaborative optimization controller is used to generate the synchronous control instruction set by taking the real-time internal state parameters and preset constraints as inputs and maximizing the average charging power within a preset future time period as the optimization objective.

[0034] The collaborative optimization controller employs a model predictive control algorithm. The synchronous control instruction set includes the target output voltage and target output current of the power execution module in the current control cycle, as well as the target fan speed and / or target thermoelectric working mode of the thermal management execution module.

[0035] The thermal management execution module includes an active heat dissipation unit and a passive heat conduction unit; The active heat dissipation unit includes a controllable speed fan and / or a semiconductor cooling chip; the passive heat conduction unit includes a phase change thermally conductive material layer disposed between the battery cell and the circuit board.

[0036] The state sensing module also includes a distributed temperature sensor network; wherein the temperature sensor network is deployed at least to cover the surface of the battery cell, the surface of the power device, the printed circuit board area, and the inner wall of the casing.

[0037] Specifically, in embodiments of the present invention, such as Figure 3 As shown, a power and thermal co-control system suitable for power banks is provided. The system is integrated into a 20000mAh power bank that supports 100W PD fast charging.

[0038] The state perception module includes an electrical sampling unit, which is a high-precision ADC used to collect input port voltage Vin and current Iin, output port voltage Vout and current Iout, and total cell voltage Vbat.

[0039] Distributed temperature sensing network: Includes 6 digital temperature sensors (such as DS18B20). Specific deployment points are as follows: 2 are attached to the center of the surfaces of the two battery cells respectively (T_cell1, T_cell2), 1 is attached to the main power MOSFET case (T_mos), 1 is located near the synchronous rectification DC-DC controller chip (T_ic), 1 is placed in a heat-free area of ​​the main PCB to monitor ambient temperature (T_pcb), and 1 is attached to the inner wall of the aluminum alloy casing (T_case).

[0040] The collaborative control processor uses an ARM Cortex-M4 core MCU with an integrated floating-point unit. Its internal software runs two core algorithm modules.

[0041] The system state observer receives all sensor data based on a pre-calibrated mobile power bank thermal network model (using an RC thermal resistance-thermal capacity model) and a loss model (switching losses and conduction losses lookup tables). In each control cycle (e.g., 100ms), it estimates the following non-measurable states: overall system efficiency η, heat flow from the power MOSFET to the casing Q_flow, and the chemical heating power of the battery cell P_chem.

[0042] The collaborative optimization controller employs a model predictive control (MPC) algorithm. Its optimization objective is to maximize the total energy output to the load within the next 5 control cycles (0.5 seconds). Constraints are: T_cell1, T_cell2 < 60℃; T_mos < 95℃; Vout, Iout conform to the currently negotiated gears in the PD protocol; estimated efficiency η > 85%. The controller solves for an optimal control sequence, and the first control variable is taken as the command for the current cycle.

[0043] The power execution module includes a fast charging protocol chip (such as the Injoinic IP2726) and a synchronous buck / boost DC-DC converter circuit. It receives the target Vout_ref and Iout_ref instructions from the MCU and precisely controls the output by adjusting the protocol communication and the PWM duty cycle of the DC-DC converter.

[0044] The thermal management execution module includes an active cooling unit, a 4cm miniature turbine fan (PWM controlled), and a small thermoelectric cooler (TEC) attached to the back of the main MOSFET.

[0045] The passive heat dissipation unit fills the space between the battery cell assembly and the main PCB with a 2mm thick layer of paraffin-based composite phase change material (PCM) with a phase change temperature of 45°C.

[0046] System workflow as follows Figure 1 As shown, combined with Figure 3 The principle of MPC is as follows: Upon power-up, the system initializes. Once a load is detected and a 100WPD protocol handshake is established, the system enters cooperative control mode. Sensing: The status sensing module collects all electrical and temperature data at a frequency of 100Hz and sends it to the MCU.

[0047] Observation and Decision Making: a) The state observer updates its internal state estimate X(k) based on current data. b) The MPC controller uses X(k) as the initial state and predicts the system state evolution over the next 5 cycles under different control variables (such as increasing power and fan speed). c) From all predicted trajectories that satisfy constraints such as temperature, the trajectory that maximizes the charging energy within 0.5 seconds is selected, and its first-step control variable [Vout_ref(k), Iout_ref(k), Fan_PWM(k), TEC_mode(k)] is determined as the current instruction.

[0048] Coordinated execution: The MCU sends Vout_ref(k) and Iout_ref(k) to the fast charging protocol chip via the I2C bus, while simultaneously outputting Fan_PWM(k) through the PWM pin and setting TEC_mode(k) (cooling / stop / heating) via GPIO. These instructions are triggered synchronously.

[0049] Feedback and Adaptation: In the next cycle, repeat steps 1-3. Simultaneously, the system compares the predicted temperature T_mos_pred(k) with the actual measured T_mos(k+1). If the error remains large, a background task is initiated to fine-tune the relevant RC parameters of the thermal network model in the observer, achieving adaptive correction of the model.

[0050] Compared with traditional temperature control solutions, the power bank controlled by this invention has its core temperature more smoothly controlled below the safety line, while the output power can be maintained at a higher and more stable level. This avoids the drastic power drop ("sawtooth wave") caused by the temperature reaching the threshold in traditional solutions, thus achieving faster and more stable charging.

[0051] Example 2: Figure 7 As shown, the main difference between this embodiment and Embodiment 1 lies in the simplification of the optimization algorithm. For more cost-sensitive applications, the collaborative optimization controller can adopt a simplified collaborative strategy that combines rule-based and table-lookup approaches.

[0052] The system state observer is simplified into a multi-input fuzzy inference system. The inputs are the temperature at each point and its rate of change, and the current output power; the output is the "thermal pressure level" (0-10).

[0053] A pre-stored coordination strategy table is used. For example, when the "thermal stress level" is 3, the strategy table is consulted to obtain the instruction: limit the output power to 90% of the nominal value and start the fan at 50% speed. When the level is upgraded to 4, the instruction is adjusted to: limit the power to 85%, increase the fan speed to 70%, and activate the TEC weak cooling mode.

[0054] Although the decision-making logic is simplified, its core collaborative idea of ​​"simultaneously issuing power and heat dissipation commands based on the integrated thermal state assessment" is consistent with the present invention, and can still achieve better results than traditional independent control.

[0055] To achieve the above objectives, the present invention also provides a power and thermal adaptive control method suitable for mobile power supplies, wherein the method is executed by the power and thermal adaptive control system, such as... Figures 3-6 As shown, the method includes the following steps: S1. Generate and acquire first data corresponding to the power bank; wherein, the first data is multi-dimensional status information, including electrical parameters and spatial temperature distribution information; S2. Based on the first data and combined with the system state observer, create and generate second data corresponding to the mobile power supply; wherein, the second data is the thermoelectric coupling state data inside the mobile power supply; S3. Using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, at least one set of corresponding third data is generated through collaborative optimization processing, and the third data is simultaneously sent out and executed; wherein, the third data are the optimal power output parameters and thermal management parameters.

[0056] The step of creating and generating second data corresponding to the mobile power bank based on the first data and in conjunction with the system state observer also includes: S21. Create a first model corresponding to the power bank, and input the electrical parameters and temperature information into the first model; wherein, the first model is a preset joint observation model based on the thermodynamic and electrical characteristics of the power bank; S22. Using the first model, output the corresponding fourth data for the instantaneous system efficiency, cell chemical heating rate, and power device junction temperature; wherein, the fourth data is real-time estimated data.

[0057] The process of generating at least one set of corresponding third data through collaborative optimization, using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, and simultaneously sending and executing the third data, further includes: S31. Construct a second model containing an objective function and constraints; wherein, the second model is an optimization problem model; the objective function is to maximize the cumulative charging energy or the average charging power over the next N control cycles; the constraints include that the temperature at each monitoring point does not exceed its safety threshold, the output voltage and current are within the range allowed by the fast charging protocol, and the system efficiency is not lower than the minimum required value; S32. In each control cycle, solve the second model and create corresponding fifth data, and use the first set of control quantities in the fifth data as the power output parameters and thermal management parameters for the current cycle, wherein the fifth data is the optimal control sequence.

[0058] The process of generating at least one set of corresponding third data through collaborative optimization, using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, and simultaneously sending and executing the third data, further includes: S33. The power output parameters and thermal management parameters are sent to the power regulation unit and the thermal management execution unit respectively through different control channels in a time-aligned manner, and the two start execution simultaneously or nearly simultaneously.

[0059] The method further includes an adaptive learning step: S41. During the charging process, record the actual status response data; S42. Compare the actual state response data with the observer's predicted data, and perform online correction processing on the model parameters in the system state observer based on the comparison results, so that the observation model gradually approximates the actual aging and operating condition changes of the mobile power supply.

[0060] In the embodiments of the method scheme of the present invention, the specific details of the method steps involved in the power and thermal collaborative adaptive control applicable to mobile power supply have been described above. That is to say, the functional modules in the method are used to implement the functional modules in the above system embodiments, and will not be repeated here.

[0061] To achieve the above objectives, the present invention also provides a power and thermal adaptive control platform suitable for mobile power supplies, such as... Figure 8 As shown, it includes a processor, a memory, and a power and thermal collaborative control platform control program suitable for a power bank; wherein, the processor executes the power and thermal collaborative control platform control program suitable for a power bank, the power and thermal collaborative control platform control program suitable for a power bank is stored in the memory, and the power and thermal collaborative control platform control program suitable for a power bank implements the steps of the power and thermal collaborative adaptive control method suitable for a power bank.

[0062] The specific details of the steps have been explained above and will not be repeated here.

[0063] In this embodiment of the invention, the built-in processor of the power and thermal coordination control platform for mobile power banks can be composed of integrated circuits. For example, it can be composed of a single packaged integrated circuit, or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor connects to various components using various interfaces and lines, and executes programs or units stored in the memory, as well as calling data stored in the memory, to perform various functions of power and thermal coordination control for mobile power banks and process data. The memory is used to store program code and various data. It is installed in the power and thermal co-control platform suitable for mobile power supplies and enables high-speed and automatic access to programs or data during operation.

[0064] The memory includes read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium capable of carrying or storing data.

[0065] This invention comprises a system including a state-sensing module for real-time acquisition of electrical parameters and multi-point temperature information of a power bank; a collaborative control processor coupled to the state-sensing module for generating a synchronous control instruction set by performing collaborative optimization decisions based on the electrical parameters and multi-point temperature information using an internal algorithm model; a power execution module coupled to the collaborative control processor for adjusting the output power of the power bank according to power control instructions in the synchronous control instruction set; and a thermal management execution module coupled to the collaborative control processor for adjusting the heat dissipation state of the power bank according to thermal management control instructions in the synchronous control instruction set. The collaborative control processor is configured to dynamically solve for and synchronously output the power control instructions and thermal management control instructions with the goal of maintaining the maximum sustainable charging power of the power bank within a safe temperature threshold. This system enables power and thermal collaborative control that maximizes continuous fast charging capability under safe conditions and possesses system-level collaborative optimization and adaptive learning capabilities.

[0066] In other words, the present invention achieves a fundamental shift from passive thermal protection to intelligent thermal control by using temperature as an active control variable and co-optimizing it with power output at the system level. This enables the power bank to dynamically maintain the maximum sustainable charging power within a safe threshold, improving the average power, system stability, and lifecycle adaptability during fast charging. It also resolves the inherent contradiction between efficiency and heat dissipation in high-power fast charging.

[0067] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A power and thermal coordination control system suitable for mobile power supplies, characterized in that, The system includes a status sensing module for real-time acquisition of electrical parameters and multi-point temperature information of the mobile power supply; And a collaborative control processor coupled to the state sensing module and used to generate a synchronous control instruction set by making collaborative optimization decisions based on the electrical parameters and multi-point temperature information through an internal algorithm model; The system also includes a power execution module coupled to the collaborative control processor and used to adjust the output power of the power bank according to the power control instructions collected by the synchronization control instructions; and a thermal management execution module coupled to the collaborative control processor and used to adjust the heat dissipation state of the power bank according to the thermal management instructions collected by the synchronization control instructions. The collaborative control processor is configured to dynamically solve and synchronously output the power control command and thermal management control command with the goal of maintaining the maximum sustainable charging power of the mobile power source within a safe temperature threshold.

2. The power and thermal coordination control system for mobile power supplies according to claim 1, characterized in that, The cooperative control processor includes a system state observer and a cooperative optimization controller; The system state observer is used to estimate the real-time internal state parameters of the mobile power supply based on the electrical parameters and multi-point temperature information, through a preset thermoelectric coupling model; wherein, the internal state parameters include at least one of the following: system instantaneous efficiency, core node heat flux density, and overall thermal resistance variation trend; The collaborative optimization controller is used to generate the synchronous control instruction set by taking the real-time internal state parameters and preset constraints as inputs and maximizing the average charging power within a preset future time period as the optimization objective.

3. The power and thermal coordination control system for mobile power supplies according to claim 2, characterized in that, The collaborative optimization controller employs a model predictive control algorithm. The synchronous control instruction set includes the target output voltage and target output current of the power execution module in the current control cycle, as well as the target fan speed and / or target thermoelectric working mode of the thermal management execution module.

4. A power and thermal coordination control system suitable for mobile power supplies according to claim 1, 2, or 3, characterized in that, The thermal management execution module includes an active heat dissipation unit and a passive heat conduction unit; The active heat dissipation unit includes a controllable speed fan and / or a semiconductor cooling chip; the passive heat conduction unit includes a phase change thermally conductive material layer disposed between the battery cell and the circuit board.

5. The power and thermal coordination control system for mobile power supplies according to claim 4, characterized in that, The state sensing module also includes a distributed temperature sensor network; wherein the temperature sensor network is deployed at least to cover the surface of the battery cell, the surface of the power device, the printed circuit board area, and the inner wall of the casing.

6. An adaptive control method suitable for mobile power supplies, characterized in that, The method is performed by the power and thermal synergistic control system as described in any one of claims 1 to 5, and the method includes the following steps: Generate and acquire first data corresponding to the power bank; wherein, the first data is multi-dimensional status information, including electrical parameters and spatial temperature distribution information; Based on the first data, and in conjunction with the system state observer, second data corresponding to the power bank is created and generated; wherein, the second data is the thermoelectric coupling state data inside the power bank; Using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, at least one set of corresponding third data is generated through collaborative optimization processing, and the third data is simultaneously sent out and executed; wherein, the third data is the optimal power output parameters and thermal management parameters.

7. The adaptive control method for mobile power supplies according to claim 6, characterized in that, The step of creating and generating second data corresponding to the mobile power bank based on the first data and in conjunction with the system state observer also includes: A first model corresponding to the power bank is created, and the electrical parameters and temperature information are input into the first model; wherein, the first model is a preset joint observation model based on the thermodynamic and electrical characteristics of the power bank; The first model generates corresponding fourth data for the system's instantaneous efficiency, cell chemical heating rate, and power device junction temperature; wherein the fourth data is a real-time estimated value.

8. The adaptive control method for mobile power supplies according to claim 6, characterized in that, The process of generating at least one set of corresponding third data through collaborative optimization, using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, and simultaneously sending and executing the third data, further includes: A second model is constructed, which includes an objective function and constraints. The second model is an optimization problem model. The objective function is to maximize the cumulative charging energy or the average charging power over the next N control cycles. The constraints include that the temperature at each monitoring point does not exceed its safety threshold, the output voltage and current are within the range allowed by the fast charging protocol, and the system efficiency is not lower than the minimum required value. In each control cycle, the second model is solved and the corresponding fifth data is generated. The first set of control variables in the fifth data is used as the power output parameters and thermal management parameters for the current cycle. The fifth data is the optimal control sequence.

9. An adaptive control method for mobile power supplies according to claim 6 or 8, characterized in that, The process of generating at least one set of corresponding third data through collaborative optimization, using preset safety and efficiency constraints as boundary conditions and maximizing sustainable charging power as the optimization objective, and simultaneously sending and executing the third data, further includes: The power output parameters and thermal management parameters are sent to the power regulation unit and thermal management execution unit respectively through different control channels in a time-aligned manner.

10. The adaptive control method for mobile power supplies according to claim 6, characterized in that, The method further includes an adaptive learning step: During the charging process, record the actual status response data; The actual state response data is compared with the observer's predicted data, and the model parameters in the system state observer are corrected online based on the comparison results.

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