Electric quantity management method of portable PD quick-release battery module

Abstract

The invention provides a portable PD quick-release battery module and an electric quantity management method thereof. The method belongs to the technical field of portable energy storage and intelligent power supply management. The method comprises the following steps: carrying out magnetic attraction state sensing on a portable PD quick-release battery module to generate module connection state data; identifying a current working mode according to the module connection state data, and generating a state judgment result of an equipment power supply mode or a PD output mode; through the combination of magnetic attraction state perception and multi-source electric quantity parameter acquisition, the working mode can be accurately identified and the electric quantity estimation strategy can be dynamically adjusted when the battery module is quickly assembled or disassembled, so that mode misjudgment caused by poor contact of a mechanical switch is effectively prevented, and the reliability of electric quantity management is greatly improved.

Description

Technical Field

[0001] This invention proposes a power management method for portable PD quick-release battery modules, belonging to the field of portable energy storage and intelligent power management technology. Background Technology

[0002] In the current portable power supply field, the power management technology of traditional quick-release battery modules has significant limitations.

[0003] Most products rely on physical mechanical switches to identify the module's connection status. After long-term use, dust accumulation or contact oxidation can lead to contact failure, causing misjudgments of the operating mode and affecting reliability. Regarding power estimation, current technologies generally use a single coulomb integration method, which does not fully consider battery polarization effects and temperature drift under high-rate discharge scenarios (such as continuous 15A output). This results in frequent fluctuations in the power display, making it difficult for users to obtain accurate remaining power information.

[0004] More importantly, the battery management system (BMS) and the PD fast charging module lack a coordinated protection mechanism. When a short circuit occurs at the PD output, the BMS may not be able to disconnect the main circuit in time, posing a safety hazard.

[0005] Meanwhile, the user interface is too simple, and the LED indicator only displays the power level according to fixed rules, failing to provide differentiated prompts based on different modes such as device power supply or PD output, thus limiting the user experience.

[0006] While existing technologies possess basic functions such as magnetic connection and TYPE-C charging and discharging, they do not deeply integrate magnetic state sensing, dual-mode collaborative control, and multi-source power calibration. They fail to construct a complete power management method with state sensing, mode adaptation, power calculation, collaborative protection, and intelligent interaction capabilities, making it difficult to meet the high reliability requirements of complex outdoor scenarios. Summary of the Invention

[0007] This invention provides a power management method for a portable PD quick-release battery module to solve the problems mentioned in the background section above: This invention proposes a power management method for a portable PD quick-release battery module, the method comprising: S1. Sensing the magnetic attraction status of the portable PD quick-release battery module and generating module connection status data; identifying the current working mode based on the module connection status data and generating a status judgment result of device power supply mode or PD output mode; S2. Based on the status determination results, collect multi-source power parameters. In the device power supply mode, collect battery pack voltage, current and temperature data. In the PD output mode, additionally collect PD module output power and load type data. Perform dynamic weight allocation on the collected multi-source parameters to generate comprehensive power calibration parameters. S3. Based on the comprehensive power calibration parameters, dual-mode SOC estimation is performed. In the device power supply mode, a coulomb integral combined with polarization voltage drop compensation algorithm is used. In the PD output mode, a temperature drift correction factor and a load characteristic matching algorithm are introduced to generate the device power supply SOC value and the PD output SOC value respectively. S4. Trigger the collaborative protection mechanism based on the status determination result. When a short circuit is detected in the PD output, the BMS main circuit cutoff and PD module overcurrent protection are activated simultaneously. When the battery pack temperature exceeds the threshold, the PD output power is reduced and the equipment supply current is limited, generating a dual-mode collaborative protection command. S5. Based on the status judgment result and SOC value, intelligent interactive display is performed. In the device power supply mode, the remaining power is displayed by using graded LED brightness. In the PD output mode, the charging / discharging status is dynamically indicated by LED running lights. When a module abnormality is detected, it switches to flashing warning mode and generates differentiated user interaction signals. S6. Perform periodic cross-validation on the dual-mode SOC value. When the deviation between the device power supply SOC value and the PD output SOC value exceeds the threshold, initiate multi-source parameter re-acquisition and algorithm adaptive adjustment to generate power management self-calibration results and update the displayed data.

[0008] The present invention proposes a portable PD quick-release battery module for performing any of the power management methods described above. The battery module includes a 4SIP battery pack 1, a PD quick-release module 2, a power display button 3, an LED power display 4, a Type-C charging and discharging port 5, a blade connector 6, a quick-release magnet 7, and a battery handle 8.

[0009] The beneficial effects of this invention are as follows: By combining magnetic attraction status sensing with multi-source power parameter acquisition, the operating mode can be accurately identified and the power estimation strategy dynamically adjusted during rapid assembly or disassembly of the battery module. This effectively prevents mode misjudgment caused by poor mechanical switch contact, significantly improving the reliability of power management. Simultaneously, the dual-mode SOC estimation algorithm integrates polarization voltage drop compensation and temperature drift correction, significantly reducing the frequency of power display jumps in high-rate discharge scenarios, enhancing the user's ability to accurately judge the remaining power. The collaborative protection mechanism, through real-time linkage between the BMS and PD module, quickly cuts off dangerous paths when the PD output is short-circuited or the battery overheats, reducing safety hazards and avoiding equipment damage risks caused by the fragmentation of the protection mechanism. The differentiated LED interactive design can display the power level in stages according to the device's power supply mode, and can also dynamically indicate the charging and discharging status through a running light when the PD output is active, reducing user misoperation. It not only meets the high reliability requirements of complex outdoor scenarios, but also continuously optimizes the power estimation accuracy through self-calibration, avoiding parameter deviations caused by long-term use, comprehensively improving the user experience of the portable power supply. Attached Figure Description

[0010] Figure 1 This is a diagram illustrating the steps of the method described in this invention; Figure 2 This is a schematic diagram of the battery module structure described in this invention; Figure 3 This is a schematic diagram of the appearance of the battery module described in this invention; Explanation of reference numerals in the attached figures: 1. 4SIP battery pack; 2. PD quick-release module; 3. Power display button; 4. LED power display; 5. Type-C charging and discharging port; 6. Blade connector; 7. Quick-release magnet; 8. Battery handle. Detailed Implementation

[0011] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0012] One embodiment of the present invention, such as Figure 1 As shown, a power management method for a portable PD quick-release battery module includes: S1. Sensing the magnetic attraction status of the portable PD quick-release battery module and generating module connection status data; identifying the current working mode based on the module connection status data and generating a status judgment result of device power supply mode or PD output mode; S2. Based on the status determination results, collect multi-source power parameters. In the device power supply mode, collect battery pack voltage, current and temperature data. In the PD output mode, additionally collect PD module output power and load type data. Perform dynamic weight allocation on the collected multi-source parameters to generate comprehensive power calibration parameters. S3. Based on the comprehensive power calibration parameters, dual-mode SOC estimation is performed. In the device power supply mode, a coulomb integral combined with polarization voltage drop compensation algorithm is used. In the PD output mode, a temperature drift correction factor and a load characteristic matching algorithm are introduced to generate the device power supply SOC value and the PD output SOC value respectively. S4. Trigger the collaborative protection mechanism based on the status determination result. When a short circuit is detected in the PD output, the BMS main circuit cutoff and PD module overcurrent protection are activated simultaneously. When the battery pack temperature exceeds the threshold, the PD output power is reduced and the equipment supply current is limited, generating a dual-mode collaborative protection command. S5. Based on the status judgment result and SOC value, intelligent interactive display is performed. In the device power supply mode, the remaining power is displayed by using graded LED brightness. In the PD output mode, the charging / discharging status is dynamically indicated by LED running lights. When a module abnormality is detected, it switches to flashing warning mode and generates differentiated user interaction signals. S6. Perform periodic cross-validation on the dual-mode SOC value. When the deviation between the device power supply SOC value and the PD output SOC value exceeds the threshold, initiate multi-source parameter re-acquisition and algorithm adaptive adjustment to generate power management self-calibration results and update the displayed data.

[0013] The working principle and effects of the above technical solution are as follows: Through dual-mode recognition and multi-source parameter acquisition, it can accurately adapt to the power supply and PD output scenarios of the device, and make the power calculation more in line with the actual usage status, significantly improving the accuracy of SOC estimation and reducing power deviation in different modes. A collaborative protection mechanism links the BMS and PD module to enhance safety, avoid abnormal situations such as short circuits and overheating, and prevent module damage or safety hazards. Intelligent interactive display clearly reflects the power level and working status, reducing user confusion about the module's status and making operation more convenient. Periodic self-calibration function continuously corrects data deviations, reducing accuracy decay after long-term use and extending the module's stable working cycle. The overall solution balances adaptability and reliability, meeting the continuous power supply needs of outdoor equipment while flexibly realizing PD fast charging and discharging, improving ease of use and avoiding the inconvenience caused by the limitations of a single function.

[0014] In one embodiment of the present invention, S1 includes: S11. Real-time capture of the contact signal between the quick-release magnet and the blade connector in the portable PD quick-release battery module, collection of physical induction data generated by magnetic contact, and generation of initial connection signal set; S12. Continuously monitor the initial connection signal set, filter out interference signals generated by instantaneous contact, verify the stability of the connection status, and generate stable connection confirmation data. S13. Based on the stable connection confirmation data, distinguish between the fully connected, partially connected, or unconnected states of the battery pack and the PD quick-release module, and generate connection type distinction results. S14. Based on the connection type, distinguish the results and identify the current module operation scenario. When not connected, it is determined to be a device power supply scenario; when fully connected, it is determined to be a PD output scenario. Generate scenario identification conclusion. S15. Based on the scene recognition results, clarify the current working mode attributes and generate the status judgment result of the device power supply mode or PD output mode.

[0015] The working principle and effects of the above technical solution are as follows: By capturing magnetic adhesion signals and filtering out momentary interference, the accuracy of connection status recognition is improved, avoiding misjudgments of working modes due to brief contact. It clearly distinguishes between fully connected, partially connected, and disconnected states, enhancing the specificity of scene recognition and reducing subsequent operational deviations caused by confusion between different modes. It can quickly respond to changes in module connection and ensure that subsequent parameter acquisition, power estimation, and other processes accurately adapt to the current scenario, reducing the probability of errors in process transitions. Simultaneously, it avoids accidental triggering of modes in partially connected states, preventing functional malfunctions from affecting the user experience, making working mode switching smoother, and laying a stable foundation for the entire power management process.

[0016] In one embodiment of the present invention, S2 includes: S21. Based on the status judgment results, the parameter acquisition dimensions are defined. In the equipment power supply mode, the three core dimensions of voltage, current and temperature are locked. In the PD output mode, two supplementary dimensions of output power and load type are added. S22. Start the multi-source parameter acquisition unit to capture parameter data of the corresponding dimension in real time according to the set frequency, and form the original multi-source parameter set. S23. Perform outlier filtering on the original multi-source parameter set, remove mutated data that exceeds the reasonable range, retain continuous and stable valid parameters, and generate a purified parameter set. S24. Based on the degree of influence of each parameter on power calculation under different working modes, the purified parameter set is dynamically weighted, with voltage and current given high weights and temperature, power and load type given appropriate weights. S25. By integrating effective parameters from various dimensions through weighted calculations, deviations caused by fluctuations in a single parameter are eliminated, and comprehensive power calibration parameters are generated.

[0017] The working principle and effects of the above technical solution are as follows: By defining targeted data collection dimensions according to working modes, it can focus on core parameters without omitting supplementary information, making data collection more aligned with actual needs. Real-time parameter capture and filtering of abnormal and sudden data reduces interference from invalid data and improves parameter stability. Dynamic weight allocation allows key parameters to play a leading role, enhancing the adaptability of comprehensive calibration parameters and avoiding deviations caused by imbalances in the weight of a single parameter. Weighted integration of effective data from various dimensions further eliminates the impact of fluctuations, reduces errors in subsequent power estimation, provides reliable support for accurate SOC calculation, and makes the foundation of the entire power management system more solid, avoiding subsequent functional adaptation problems caused by inaccurate data.

[0018] In one embodiment of the present invention, S24 includes: Based on the status determination results, the purified parameter set is split, and the corresponding parameters are separated according to the equipment power supply mode and PD output mode to generate sub-mode parameter subsets. Analyze the correlation between each parameter in the sub-mode parameter subset and the power calculation, distinguish between core influencing parameters and auxiliary influencing parameters, and generate parameter influence correlation data; Based on the correlation data of parameter influence, set the basic weight benchmark for each parameter, set high benchmark values ​​for core parameters, set appropriate benchmark values ​​for auxiliary parameters, and generate a basic weight configuration table. Monitor the real-time fluctuation range of each parameter, fine-tune the basic weight benchmark according to the fluctuation, reduce the weight ratio of parameters with drastic fluctuations, and generate dynamic correction weight values. The dynamically adjusted weight values ​​are matched one by one to the corresponding parameters of the sub-mode parameter subsets to complete the weight allocation of all-dimensional parameters and form the final weight allocation result.

[0019] The working principle and effects of the above technical solution are as follows: By splitting the parameter subsets according to different operating modes, it can not only fit the parameter characteristics of different operating modes, but also make the weight allocation more targeted. Analyzing the close relationship between parameters and power calculation improves the rationality of weight configuration and avoids confusion between the weights of core parameters and auxiliary parameters. The basic weight benchmark combined with real-time fluctuation fine-tuning weakens the impact of parameters with drastic fluctuations and reduces allocation deviations caused by abnormal fluctuations. Accurate matching and dynamic correction of weights across all dimensions enhances the flexibility and adaptability of weight allocation, making the comprehensive power calibration parameters more in line with actual operating conditions. The overall process reduces the limitations of a single allocation logic, avoids data deviations caused by weight imbalance, provides solid support for subsequent accurate power estimation, and makes the core data processing of power management more reliable.

[0020] In one embodiment of the present invention, S3 includes: S31. Based on the comprehensive power calibration parameters, build a dual-mode SOC estimation framework and clarify the estimation logic and operation priority of the two working modes. S32. For the device power supply mode, start the coulomb integration calculation, accumulate the total charge and discharge charge of the battery pack, and generate the basic SOC calculation value. S33. Add polarization voltage drop compensation calculation to the basic SOC calculation value to correct the voltage deviation effect under high current output and generate the preliminary SOC value of the device power supply. S34. For PD output mode, add temperature drift correction factor to coulomb integration calculation, perform load characteristic matching calculation simultaneously, calibrate the power consumption difference under different loads, and generate preliminary PD output SOC value. S35. Perform instantaneous fluctuation filtering on the preliminary SOC values ​​of the equipment power supply and the PD output to eliminate numerical deviations caused by sudden current surges, and generate the final SOC values ​​of the equipment power supply and the PD output.

[0021] The working principle and effects of the above technical solution are as follows: A dual-mode SOC estimation framework is established, which accurately matches the operating characteristics of both modes and allows the estimation logic to focus on the corresponding scenario requirements. Based on coulomb integration, polarization voltage drop compensation, temperature drift correction, and load characteristic matching are superimposed to reduce estimation deviations caused by high current output, temperature changes, and load differences, significantly improving the accuracy of the SOC value. The instantaneous fluctuation filtering stage eliminates the impact of sudden current surges, reducing the risk of misjudgment caused by numerical jumps. The overall process enhances the stability and reliability of power estimation, avoiding user misjudgment of remaining power due to inaccurate SOC data. This makes subsequent interactive displays and collaborative protection mechanisms more targeted, ensuring a good user experience for the module while providing accurate power basis for device power supply and PD charging / discharging, reducing inconvenience or safety hazards caused by misjudgment of power.

[0022] In one embodiment of the present invention, S34 includes: Extract voltage, current, temperature, power, and load-related data corresponding to the PD output mode from the comprehensive power calibration parameters to generate a PD mode-specific parameter set. Based on the PD mode-specific parameter set, coulomb integration calculation is initiated to continuously accumulate the total charge during the battery pack's charging and discharging process, generating the PD basic SOC calculation value; Analyze the temperature data changes in the PD mode-specific parameter set, calculate the charge drift amplitude at different temperatures, and generate a temperature drift correction factor; Integrate the temperature drift correction factor into the PD basic SOC calculation value, and simultaneously extract load type and power data to perform load characteristic matching calculations to calibrate the power consumption deviation under different loads. By integrating the calculation results after temperature correction and load matching, numerical deviations caused by multiple factors are eliminated, and a preliminary value of PD output SOC is generated.

[0023] The working principle and effects of the above technical solution are as follows: Extracting parameters specific to the PD mode ensures accurate data calculation tailored to fast charging scenarios, reducing interference from irrelevant information. Coulomb integration continuously accumulates the total charge and discharge volume, laying a solid foundation for power calculation. Analyzing temperature changes generates correction factors to offset power drift caused by temperature fluctuations, simultaneously matching load characteristics to calibrate consumption differences, addressing the impact of different temperature environments and adapting to diverse load requirements. Integrating the dual correction results significantly improves the accuracy of SOC calculation in PD mode, reducing numerical deviations caused by multiple factors. It avoids charging / discharging anomalies or user misjudgments due to inaccurate power data, making power feedback during PD fast charging and discharging more reliable, reducing user inconvenience, and providing accurate data support for subsequent interactive displays and collaborative protection, resulting in more stable and smooth PD mode operation.

[0024] In one embodiment of the present invention, step S4 includes: S41. Based on the state determination result, continuously monitor key operating indicators, including the main circuit voltage and current of the battery pack, the on / off status of the PD module output circuit, and the temperature of the core area of ​​the battery pack, and generate real-time operating monitoring data; perform threshold comparison on the real-time operating monitoring data to identify the anomaly type, including short circuit and over-temperature, and generate anomaly identification result. S42. When the abnormal identification result is a short circuit in the PD output, the BMS main circuit cut-off action and the PD module overcurrent limiting action are triggered simultaneously to quickly block the dangerous current path. S43. When the abnormal identification result is that the battery pack temperature exceeds the standard, gradually reduce the output power of the PD module, and at the same time limit the output current of the equipment power supply circuit to slow down the temperature rise trend. S44. Integrate short-circuit protection actions and over-temperature control actions to form a unified execution logic and generate dual-mode collaborative protection commands.

[0025] The working principle and effects of the above technical solution are as follows: It continuously monitors the main circuit parameters of the battery pack, the output status of the PD module, and the temperature of the core area, improving the timeliness of anomaly identification and reducing the omission of safety hazards. In the event of a short circuit, it simultaneously triggers the main circuit cutoff and PD overcurrent limiting, quickly blocking dangerous current paths and preventing module burnout or safety accidents. In the event of overheating, it reduces the PD output power and limits the equipment supply current, slowing the temperature rise and protecting the battery pack and PD module from high-temperature damage. Integrating these two protection actions into a unified logic makes protection under different abnormal scenarios more coordinated, enhancing the safety and stability of module operation. It can quickly respond to sudden short-circuit risks and smoothly resolve high-temperature pressures, avoiding equipment failures caused by insufficient single protection, reducing unexpected losses during use, and ensuring safe and reliable module operation under various working conditions, providing greater peace of mind.

[0026] In one embodiment of the present invention, S44 includes: Collect the details of short-circuit protection actions in S42 and over-temperature control actions in S43, summarize the execution operations corresponding to different anomalies, and generate a complete set of protection actions; Analyze the execution sequence of each operation in the protection action set, identify potential conflicts between actions, clarify the logic of prioritizing short-circuit protection and gradually advancing over-temperature control, and generate action sequence rules; Based on the status determination results, the protection requirements differ between the equipment power supply mode and the PD output mode. The execution intensity and response speed of each action are adjusted to generate mode adaptation priority data. Based on action timing rules and mode adaptation priority data, the triggering conditions, execution steps and coordination logic of all protection actions are integrated to form a unified execution process and generate a collaborative execution framework. Define the transmission path of instructions in the collaborative execution framework, ensure that the BMS and PD modules receive and respond synchronously, solidify the execution standard, and generate dual-mode collaborative protection instructions.

[0027] The working principle and effects of the above technical solution are as follows: It summarizes the action details of short-circuit protection and over-temperature control, making protection coverage more comprehensive and reducing omissions in abnormal scenarios. It analyzes the execution sequence to identify action conflicts, clarifies priority logic, improves the coordination of protection actions, and avoids protection failure due to conflicts. It differentiates the protection requirements of two working modes, adjusts the execution intensity and response speed, enhances the adaptability of protection, and makes protection more accurate in different scenarios. It integrates a unified execution process and collaborative logic, reducing the risk of chaotic protection operations and making protection response more orderly. It clarifies the command transmission path to ensure synchronous response between the BMS and PD modules, avoids coordination delays, enhances the timeliness and reliability of protection, prevents module damage caused by uncoordinated protection, and makes use safer and more reliable.

[0028] In one embodiment of the present invention, step S5 includes: S51. Based on the status judgment result and the SOC value range, formulate differentiated display rules. In the device power supply mode, the brightness level is divided according to the SOC range. In the PD output mode, the running light rhythm is set according to the charging and discharging status. S52. In device power supply mode, the LED light intensity is adjusted according to the corresponding brightness level based on the device power supply SOC value, and the remaining power range is displayed intuitively. S53. In PD output mode, during charging, the LEDs are controlled to light up and turn off in sequence to form a running horse effect. During discharging, the running horse rhythm is maintained at a fixed frequency, and the working status is dynamically fed back. S54. Continuously monitor the module's operating status. When an abnormal signal is detected, including overcharging, over-discharging, short circuit, and over-temperature, switch the LED to an intermittent flashing mode to convey a warning message. S55 integrates brightness adjustment control and flashing warning actions to generate differentiated user interaction signals, ensuring that users can obtain the module status in real time.

[0029] The working principle and effects of the above technical solution are as follows: Differentiated display rules are established according to the mode, allowing the remaining power in the device's power supply mode to be intuitively presented through brightness gradients, and the charging and discharging status in PD mode to be dynamically reflected through a running light rhythm, reducing user confusion about the module's status. Continuous monitoring of the operating status, with LEDs flashing intermittently to warn of abnormalities, improves the timeliness of danger alerts and avoids usage risks caused by unnoticed overcharging, over-discharging, short circuits, overheating, etc. Integrating brightness adjustment, running light control, and flashing warnings allows users to monitor the power level, operating status, and safety conditions in real time, reducing operational confusion, enhancing interactive convenience, and making use smoother and more worry-free, eliminating the need for repeated confirmation of the module status and significantly improving the user experience.

[0030] In one embodiment of the present invention, step S6 includes: S61. Set a fixed time period to synchronously extract the device power supply SOC value and PD output SOC value, and establish a dual-mode SOC data pairing set. S62. Calculate the difference between the corresponding values ​​in the dual-mode SOC data pairing set to obtain the absolute value of the deviation of each pairing data and generate the SOC deviation dataset. S63. Compare the values ​​in the SOC deviation dataset with the preset deviation threshold one by one to determine whether the deviation is within a reasonable range and generate a deviation judgment conclusion. S64. When the deviation judgment conclusion is that the threshold is exceeded, restart the multi-source parameter acquisition process to obtain the latest voltage, current, temperature, power and load data, and at the same time adjust the internal coefficients of the algorithm for adaptive optimization. S65. Recalculate the SOC value using the optimized algorithm and newly acquired parameters, update the LED display data, generate power management self-calibration results, and ensure the accuracy of power monitoring.

[0031] The working principle and effects of the above technical solution are as follows: Periodically and synchronously extracting dual-mode SOC values ​​to establish a paired set not only captures numerical deviations in a timely manner but also makes deviation judgments more targeted. Calculating the absolute value of the deviation and comparing it with a threshold improves the accuracy of deviation identification and prevents small deviations from accumulating into large errors. When the deviation exceeds the limit, parameters are resampled and the algorithm is optimized to reduce accuracy decay due to long-term use and enhance the stability of power monitoring. The SOC is recalculated and the display is updated to ensure that the power information obtained by the user is always accurate, avoiding improper charging and discharging due to data deviations and preventing module damage or inconvenience. The overall process enables power management to have self-calibration capabilities, reduces the need for manual maintenance, makes power monitoring during long-term module operation more reliable, and provides a better user experience.

[0032] One embodiment of the present invention, such as Figure 2 and Figure 3 As shown, a portable PD quick-release battery module for performing any of the power management methods described above is provided. The battery module includes a 4SIP battery pack 1, a PD quick-release module 2, a power display button 3, an LED power display 4, a Type-C charging and discharging port 5, a blade connector 6, a quick-release magnet 7, and a battery handle 8.

[0033] The working principle of the above technical solution is as follows: Component 1: Equipped with a 4S1P18650 2600mAh lithium-ion battery pack, including 18650 lithium-ion batteries, a high-precision fuel gauge and battery management system (BMS) with overcharge, over-discharge, overcurrent, short circuit, and over-temperature protection, and high-precision state of charge (SOC) estimation. The battery pack can be directly used as a power source for assembly or equipment via a slot connector, independently outputting power and reporting accurate battery information. A strong magnet is also designed on the slot connector side for easy assembly and quick release with the PD quick-release module.

[0034] Component 2: PD quick-release module. The design details of this component are as follows: The quick-release module includes: It features Type-C charging, supports PD 35W fast charging, and the power management board has PD self-identification, over-temperature protection, button functions, and power display. Through PD charging, it outputs the required CV voltage of 16.8V for the 4S battery pack, meeting the fast charging needs of the 4S battery pack.

[0035] Type-C discharge function, charging and discharging compatible design with the same port, automatically identifies the load and starts the discharge function, supports 35W output, PD self-design, when the PD module is connected to the 4S battery pack, automatically outputs the power of the 4S battery pack through the PD module self-identification as the fast charging voltage required by the load.

[0036] Component 3: Power button When the battery pack is connected to the PD quick-release module, the current battery level can be displayed by pressing the power button for 1 second. Component 4: LED power display When the PD module is connected to the 4S battery pack and the TPYE_C charger is connected, the LED displays the charging status in a running light pattern. When the battery is fully charged and charging has stopped, all four LEDs will light up as long as the charger is not disconnected. When the charger is disconnected, there is no button press, and the LED lights are off, pressing the power display button will cause the 4 LEDs to display the current power level. 1 LED indicates 0 ≤ SOC < 25% 1 LED indicates 25 ≤ SOC < 50% 1 LED indicates 50% ≤ SOC < 75% 1 LED indicates 75% ≤ SOC ≤ 100% Component 5: PD module charging and discharging Type-C port: When the module is connected to the battery, it can fast charge the battery pack at 35W through this Type-C port. The same port also serves as a Type-C output port, with built-in PD fast charging assistance. The default output is 5V3A. It automatically hands-on with external loads and can be used as a power bank to provide power to other products or loads.

[0037] Component 6: Sliding Card Connector The PD quick-release module connects to the 4S1P battery pack via a port connector that can withstand a maximum current output of 15A.

[0038] Component 7: Quick-release magnet When the PD quick-release module is connected to the 4S1P battery pack, the two units are connected into a whole by a strong magnet, making it a portable single product that is easy to assemble and quick-release.

[0039] Component 8: Battery handle When using the battery pack with the system, the fast charging module needs to be disconnected before installing the battery. When removing the battery pack, the battery can be pulled out using the battery handle.

[0040] The above technical solutions offer the following benefits: The quick-release magnets combined with the battery handle make module assembly and disassembly more convenient, reducing the complexity of disassembly and assembly and improving usability. The BMS provides multiple safety protections, enhancing safety and preventing damage to the module or risks caused by overcharging, over-discharging, short circuits, or overheating. The Type-C charging and discharging port design supports 35W fast charging, quickly replenishing the battery pack and flexibly powering external devices, improving compatibility. High-precision SOC estimation combined with a layered LED display provides a clear and intuitive understanding of the battery status, reducing user misjudgments of remaining power. The slot connector can withstand high current output, enhancing power supply stability and preventing current transmission limitations from affecting device operation. The overall design balances portability, safety, and practicality, significantly improving the user experience.

[0041] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A power management method for a portable PD quick-release battery module, characterized in that, The method includes: S1. Sensing the magnetic attraction status of the portable PD quick-release battery module and generating module connection status data; identifying the current working mode based on the module connection status data and generating a status judgment result of device power supply mode or PD output mode; S2. Based on the status determination results, collect multi-source power parameters. In the device power supply mode, collect battery pack voltage, current and temperature data. In the PD output mode, additionally collect PD module output power and load type data. Perform dynamic weight allocation on the collected multi-source parameters to generate comprehensive power calibration parameters. S3. Based on the comprehensive power calibration parameters, dual-mode SOC estimation is performed. In the device power supply mode, a coulomb integral combined with polarization voltage drop compensation algorithm is used. In the PD output mode, a temperature drift correction factor and a load characteristic matching algorithm are introduced to generate the device power supply SOC value and the PD output SOC value respectively. S4. Trigger the collaborative protection mechanism based on the status determination result. When a short circuit is detected in the PD output, the BMS main circuit cutoff and PD module overcurrent protection are activated simultaneously. When the battery pack temperature exceeds the threshold, the PD output power is reduced and the equipment supply current is limited, generating a dual-mode collaborative protection command. S5. Based on the status judgment result and SOC value, intelligent interactive display is performed. In the device power supply mode, the remaining power is displayed by using graded LED brightness. In the PD output mode, the charging / discharging status is dynamically indicated by LED running lights. When a module abnormality is detected, it switches to flashing warning mode and generates differentiated user interaction signals. S6. Perform periodic cross-validation on the dual-mode SOC value. When the deviation between the device power supply SOC value and the PD output SOC value exceeds the threshold, initiate multi-source parameter re-acquisition and algorithm adaptive adjustment to generate power management self-calibration results and update the displayed data.

2. The power management method for the portable PD quick-release battery module according to claim 1, characterized in that, S1 includes: S11. Real-time capture of the contact signal between the quick-release magnet and the blade connector in the portable PD quick-release battery module, collection of physical induction data generated by magnetic contact, and generation of initial connection signal set; S12. Continuously monitor the initial connection signal set, filter out interference signals generated by instantaneous contact, verify the stability of the connection status, and generate stable connection confirmation data. S13. Based on the stable connection confirmation data, distinguish between the fully connected, partially connected, or unconnected states of the battery pack and the PD quick-release module, and generate connection type distinction results. S14. Based on the connection type, distinguish the results and identify the current module operation scenario. When not connected, it is determined to be a device power supply scenario; when fully connected, it is determined to be a PD output scenario. Generate scenario identification conclusion. S15. Based on the scene recognition results, clarify the current working mode attributes and generate the status judgment result of the device power supply mode or PD output mode.

3. The power management method for the portable PD quick-release battery module according to claim 1, characterized in that, S2 includes: S21. Based on the status judgment results, the parameter acquisition dimensions are defined. In the equipment power supply mode, the three core dimensions of voltage, current and temperature are locked. In the PD output mode, two supplementary dimensions of output power and load type are added. S22. Start the multi-source parameter acquisition unit to capture parameter data of the corresponding dimension in real time according to the set frequency, and form the original multi-source parameter set. S23. Perform outlier filtering on the original multi-source parameter set, remove mutated data that exceeds the reasonable range, retain continuous and stable valid parameters, and generate a purified parameter set. S24. Based on the degree of influence of each parameter on power calculation under different working modes, the purified parameter set is dynamically weighted, with voltage and current given high weights and temperature, power and load type given appropriate weights. S25. By integrating effective parameters from various dimensions through weighted calculations, deviations caused by fluctuations in a single parameter are eliminated, and comprehensive power calibration parameters are generated.

4. The power management method for the portable PD quick-release battery module according to claim 3, characterized in that, S24 includes: Based on the status determination results, the purified parameter set is split, and the corresponding parameters are separated according to the equipment power supply mode and PD output mode to generate sub-mode parameter subsets. Analyze the correlation between each parameter in the sub-mode parameter subset and the power calculation, distinguish between core influencing parameters and auxiliary influencing parameters, and generate parameter influence correlation data; Based on the correlation data of parameter influence, set the basic weight benchmark for each parameter, set high benchmark values ​​for core parameters, set appropriate benchmark values ​​for auxiliary parameters, and generate a basic weight configuration table. Monitor the real-time fluctuation range of each parameter, fine-tune the basic weight benchmark according to the fluctuation, reduce the weight ratio of parameters with drastic fluctuations, and generate dynamic correction weight values. The dynamically adjusted weight values ​​are matched one by one to the corresponding parameters of the sub-mode parameter subsets to complete the weight allocation of all-dimensional parameters and form the final weight allocation result.

5. The power management method for the portable PD quick-release battery module according to claim 1, characterized in that, The S3 includes: S31. Based on the comprehensive power calibration parameters, build a dual-mode SOC estimation framework and clarify the estimation logic and operation priority of the two working modes. S32. For the device power supply mode, start the coulomb integration calculation, accumulate the total charge and discharge charge of the battery pack, and generate the basic SOC calculation value. S33. Add polarization voltage drop compensation calculation to the basic SOC calculation value to correct the voltage deviation effect under high current output and generate the preliminary SOC value of the device power supply. S34. For PD output mode, add temperature drift correction factor to coulomb integration calculation, perform load characteristic matching calculation simultaneously, calibrate the power consumption difference under different loads, and generate preliminary PD output SOC value. S35. Perform instantaneous fluctuation filtering on the preliminary SOC values ​​of the equipment power supply and the PD output to eliminate numerical deviations caused by sudden current surges, and generate the final SOC values ​​of the equipment power supply and the PD output.

6. The power management method for the portable PD quick-release battery module according to claim 1, characterized in that, The S4 includes: S41. Based on the status determination results, continuously monitor key operating indicators and generate real-time operating monitoring data; perform threshold comparison on the real-time operating monitoring data, identify anomaly types, and generate anomaly identification results; S42. When the abnormal identification result is a short circuit in the PD output, the BMS main circuit cut-off action and the PD module overcurrent limiting action are triggered simultaneously to quickly block the dangerous current path. S43. When the abnormal identification result is that the battery pack temperature exceeds the standard, gradually reduce the output power of the PD module, and at the same time limit the output current of the equipment power supply circuit to slow down the temperature rise trend. S44. Integrate short-circuit protection actions and over-temperature control actions to form a unified execution logic and generate dual-mode collaborative protection commands.

7. The power management method for the portable PD quick-release battery module according to claim 6, characterized in that, S44 includes: Collect the details of short-circuit protection actions in S42 and over-temperature control actions in S43, summarize the execution operations corresponding to different anomalies, and generate a complete set of protection actions; Analyze the execution sequence of each operation in the protection action set, identify potential conflicts between actions, clarify the logic of prioritizing short-circuit protection and gradually advancing over-temperature control, and generate action sequence rules; Based on the status determination results, the protection requirements differ between the equipment power supply mode and the PD output mode. The execution intensity and response speed of each action are adjusted to generate mode adaptation priority data. Based on action timing rules and mode adaptation priority data, the triggering conditions, execution steps and coordination logic of all protection actions are integrated to form a unified execution process and generate a collaborative execution framework. Define the transmission path of instructions in the collaborative execution framework, ensure that the BMS and PD modules receive and respond synchronously, solidify the execution standard, and generate dual-mode collaborative protection instructions.

8. The power management method for the portable PD quick-release battery module according to claim 1, characterized in that, The S5 includes: S51. Based on the status judgment result and the SOC value range, formulate differentiated display rules. In the device power supply mode, the brightness level is divided according to the SOC range. In the PD output mode, the running light rhythm is set according to the charging and discharging status. S52. In device power supply mode, the LED light intensity is adjusted according to the corresponding brightness level based on the device power supply SOC value, and the remaining power range is displayed intuitively. S53. In PD output mode, during charging, the LEDs are controlled to light up and turn off in sequence to form a running horse effect. During discharging, the running horse rhythm is maintained at a fixed frequency, and the working status is dynamically fed back. S54. Continuously monitor the module's operating status. When an abnormal signal is detected, switch the LED to intermittent flashing mode to convey a warning message. S55 integrates brightness adjustment control and flashing warning actions to generate differentiated user interaction signals, ensuring that users can obtain the module status in real time.

9. The power management method for a portable PD quick-release battery module according to claim 1, characterized in that, The S6 includes: S61. Set a fixed time period to synchronously extract the device power supply SOC value and PD output SOC value, and establish a dual-mode SOC data pairing set. S62. Calculate the difference between the corresponding values ​​in the dual-mode SOC data pairing set to obtain the absolute value of the deviation of each pairing data and generate the SOC deviation dataset. S63. Compare the values ​​in the SOC deviation dataset with the preset deviation threshold one by one to determine whether the deviation is within a reasonable range and generate a deviation judgment conclusion. S64. When the deviation judgment conclusion is that the threshold is exceeded, restart the multi-source parameter acquisition process to obtain the latest voltage, current, temperature, power and load data, and at the same time adjust the internal coefficients of the algorithm for adaptive optimization. S65. Recalculate the SOC value using the optimized algorithm and the newly acquired parameters, update the LED display data, and generate the power management self-calibration result.

10. A portable PD quick-release battery module for performing the power management method as described in any one of claims 1 to 9, characterized in that, The battery module includes a 4SIP battery pack (1), a PD quick-release module (2), a power display button (3), an LED power display (4), a Type-C charging and discharging port (5), a blade connector (6), a quick-release magnet (7), and a battery handle (8).

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