A warehouse adaptive pulse charging control method and system applied to a shared power bank
By acquiring the trigger data and status parameters of the power bank, the pulse charging strategy is dynamically adjusted, realizing personalized management within the shared power bank storage area. This solves the problems of battery life degradation, safety risks, and low efficiency, and improves charging safety and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 湖南鹏耀科技有限公司
- Filing Date
- 2026-02-25
- Publication Date
- 2026-06-02
AI Technical Summary
Existing charging technology in shared power bank charging stations cannot distinguish individual differences in batteries, leading to accelerated battery life degradation, high charging safety risks, low efficiency, and the inability to identify deteriorated batteries, resulting in potential risks of heat buildup, overcharging, or undercharging.
By generating and acquiring trigger data from power banks, and based on battery identity information and status parameters, the pulse charging strategy is dynamically adjusted, voltage and temperature feedback are monitored in real time, and warehouse-level collaborative management is implemented to provide personalized and refined charging management.
It extends the overall battery lifespan, improves charging safety and efficiency, and has online battery health diagnostic capabilities, solving the lifespan, safety, and efficiency issues caused by centralized charging.
Smart Images

Figure CN122137057A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of shared charging equipment technology, specifically relating to an in-cabin adaptive pulse charging control method and system for shared power banks. Background Technology
[0002] Shared power banks, as a convenient mobile energy solution, have been widely used in various public places. Their typical business model involves users renting power banks from charging stations located at fixed points and returning them to any station after use. Upon return, the power bank automatically recharges in the station for future rental.
[0003] Currently, shared power banks in charging cabinets generally adopt a simple constant current-constant voltage charging mode. All returned power banks, regardless of their individual differences (such as battery cycle life, current health status, initial charge, temperature, etc.), are connected to the same DC power supply for centralized charging.
[0004] This "one-size-fits-all" charging method severely damages battery lifespan. For example, the lifespan of lithium-ion batteries is strongly correlated with the charging strategy. Continuous high-current charging, especially for aging batteries, accelerates the irreversible loss of active materials inside the battery and the thickening of the solid electrolyte interface film, leading to accelerated battery capacity decay. Existing charging methods cannot distinguish between new and old batteries, thus accelerating the aging of the entire battery pool.
[0005] Furthermore, there are charging safety risks. The densely packed power banks simultaneously charging at high currents within the charging cabinet generate a significant amount of heat. If the cabinet's heat dissipation is inadequate, heat buildup can easily occur, leading to excessively high battery temperatures. High temperatures are a key factor inducing battery thermal runaway, posing a safety hazard.
[0006] Furthermore, in pursuit of rapid turnaround, operators tend to set higher charging currents. However, for batteries already at a high charge level, continuous current charging causes a rapid increase in polarization voltage, prematurely entering the constant voltage stage, resulting in a decrease in actual charging speed and efficiency. Simultaneously, the lack of accurate judgment of the battery's full charge status can lead to overcharging or undercharging. Moreover, existing systems can only monitor whether the power bank is present and whether the battery is fully charged, lacking online diagnostic capabilities for the battery's State of Health (SOH). Degraded batteries with drastically increased internal resistance and potential micro-short circuits, mixed with normal batteries during charging, become "time bombs" posing safety hazards.
[0007] Therefore, in response to the technical problems and defects mentioned above, such as severe battery life loss, charging safety risks, low charging efficiency and quality, and inability to identify deteriorated batteries, there is an urgent need to design and develop an in-cabin adaptive pulse charging control method and system for use in shared power banks. Summary of the Invention
[0008] To overcome the shortcomings and difficulties of the existing technology, the purpose of this invention is to provide an in-cabin adaptive pulse charging control method, system, platform and storage medium for shared power banks, so as to solve the problems of lifespan, safety, efficiency and battery management caused by centralized charging.
[0009] The first objective of this invention is to provide an in-cabin adaptive pulse charging control method for shared power banks; the second objective of this invention is to provide an in-cabin adaptive pulse charging control system for shared power banks; the third objective of this invention is to provide an in-cabin adaptive pulse charging control platform for shared power banks; and the fourth objective of this invention is to provide a computer-readable storage medium.
[0010] The first objective of this invention is achieved as follows: the method comprises: Generate and acquire first trigger data corresponding to the shared power bank, and create first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is the trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is the battery identity information data and current status parameter data of the power bank; the current status parameter includes at least the battery health status; Based on the first data, second data corresponding to the shared power bank is generated, and based on the second data, third data corresponding to the second data is generated; wherein, the second data is pulse charging strategy parameter data; and the third data is charging feedback parameter data of the shared power bank; Based on the third data, the pulse charging parameter data is dynamically adjusted, and a fourth data corresponding to the shared power bank is generated in real time; wherein, the fourth data is charging completion prompt data.
[0011] Furthermore, the current state parameters also include the battery's initial state of charge and / or temperature; The battery health status is determined based on at least one of the following: the power bank's historical cycle count, historical internal resistance change data, or historical capacity decay data.
[0012] Furthermore, the step of constructing and generating second data corresponding to the shared power bank based on the first data, and establishing and generating third data corresponding to the second data based on the second data, further includes: Create a preset health level category corresponding to the shared power bank, and classify and process the health level of the shared power bank in real time based on the first data and in combination with the preset health level category; A correspondence is established between the preset health level categories and the health status of the shared power bank. Based on the correspondence, a fifth data corresponding to the shared power bank is generated. The fifth data is a differentiated initial pulse charging strategy parameter, in which the initial pulse current amplitude allocated to the power bank with a lower health level is lower or the pulse interval time is longer than that allocated to the power bank with a higher health level.
[0013] Furthermore, the charging feedback parameters include: the battery terminal voltage during the charging pulse, the battery voltage relaxation characteristics during the charging interval, and / or the battery temperature rise rate. If the temperature rise rate is detected to exceed the first safety threshold, the amplitude of the subsequent pulse current is reduced or the pulse interval time is extended. If the battery dynamic internal resistance obtained from the voltage relaxation characteristic analysis exceeds the second safety threshold, the power bank will be marked as a degraded battery and a current-limiting protection charging strategy will be implemented.
[0014] Furthermore, the method also includes a warehouse-level collaborative control step: The sixth data corresponding to the charging compartment cabinet is generated and acquired in real time; wherein, the sixth data is the temperature information data of all charging slots in the charging compartment cabinet; If it is determined that there is local overheating or the overall average temperature exceeds the third safety threshold, the charging power of some or all charging slots will be reduced according to the preset priority strategy.
[0015] The second objective of the present invention is achieved as follows: the system comprises: A data creation and generation unit is used to generate and acquire first trigger data corresponding to a shared power bank, and to create and generate first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is battery identity information data and current status parameter data of the power bank; the current status parameters include at least the battery health status; A data construction and generation unit is used to construct and generate second data corresponding to the shared power bank based on the first data, and to establish and generate third data corresponding to the second data based on the second data; wherein, the second data is pulse charging strategy parameter data; and the third data is charging feedback parameter data of the shared power bank; The data adjustment and generation unit is used to dynamically adjust the pulse charging parameter data according to the third data, and generate fourth data corresponding to the shared power bank in real time; wherein, the fourth data is charging completion prompt data.
[0016] Furthermore, the current state parameters also include the battery's initial state of charge and / or temperature; The battery health status is determined based on at least one of the following: the power bank's historical cycle count, historical internal resistance change data, or historical capacity decay data.
[0017] Furthermore, the data construction and generation unit further includes: The first processing module is used to create a preset health level category corresponding to the shared power bank, and to classify and process the health level of the shared power bank in real time based on the first data and in combination with the preset health level category. The first generation module is used to construct a correspondence between all preset health level categories and the health status of the shared power bank, and based on the correspondence, to query and generate fifth data corresponding to the shared power bank; wherein, the fifth data is a differentiated initial pulse charging strategy parameter, in which the initial pulse current amplitude allocated to the power bank with a lower health level is lower or the pulse interval time is longer than that allocated to the power bank with a higher health level. The charging feedback parameters include: the battery terminal voltage during the charging pulse, the battery voltage relaxation characteristics during the charging interval, and / or the battery temperature rise rate. If the temperature rise rate is detected to exceed the first safety threshold, the amplitude of the subsequent pulse current is reduced or the pulse interval time is extended. If the battery dynamic internal resistance obtained from the voltage relaxation characteristic analysis exceeds the second safety threshold, the power bank will be marked as a degraded battery and a current-limiting protection charging strategy will be implemented. The system also includes: The second generation module is used to generate and acquire the sixth data corresponding to the charging compartment cabinet in real time; wherein, the sixth data is the temperature information data of all charging slots in the charging compartment cabinet; If it is determined that there is local overheating or the overall average temperature exceeds the third safety threshold, the charging power of some or all charging slots will be reduced according to the preset priority strategy.
[0018] The third objective of this invention is achieved as follows: it includes a processor, a memory, and a control program for an in-cabin adaptive pulse charging control platform applied to shared power banks; wherein the processor executes the in-cabin adaptive pulse charging control platform control program for shared power banks, the in-cabin adaptive pulse charging control platform control program for shared power banks is stored in the memory, and the in-cabin adaptive pulse charging control platform control program for shared power banks implements the in-cabin adaptive pulse charging control method for shared power banks.
[0019] The fourth objective of this invention is achieved as follows: the computer-readable storage medium stores a control program for an in-cabin adaptive pulse charging control platform applied to shared power banks, and the control program for the in-cabin adaptive pulse charging control platform applied to shared power banks implements the in-cabin adaptive pulse charging control method applied to shared power banks.
[0020] This invention utilizes a method to generate and acquire first trigger data corresponding to a shared power bank, and then creates corresponding first data based on this first trigger data. The first trigger data is trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet. The first data includes the power bank's battery identity information and current status parameters, with the current status parameters including at least the battery health status. Based on the first data, a second data corresponding to the shared power bank is constructed and generated, and a third data corresponding to the second data is established and generated based on the second data. The second data is pulse charging strategy parameter data, and the third data is charging feedback parameter data of the shared power bank. Based on the third data, the pulse charging parameter data is dynamically adjusted, and a fourth data corresponding to the shared power bank is generated in real time. The fourth data is charging completion notification data. This allows for personalized and refined charging management of power banks in different health states, thereby extending the overall battery life, improving the safety and efficiency of the charging process, and providing online battery health diagnostic capabilities.
[0021] In other words, the present invention solves the problems of battery life loss, thermal safety risks, and difficulty in identifying degraded batteries caused by centralized charging by matching differentiated pulse charging strategies to shared power banks in different health states, and dynamically adjusting the voltage and temperature feedback in real time during the charging process, while implementing warehouse-level thermal collaborative management. This results in a significant extension of battery cycle life, an essential improvement in charging safety, and intelligent asset management. Attached Figure Description
[0022] 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.
[0023] Figure 1 This is a schematic diagram of the process steps of an adaptive pulse charging control method for shared power banks in a charging station according to the present invention. Figure 2 This is a schematic flowchart of one embodiment of the adaptive pulse charging control method for shared power banks in a charging station according to the present invention; Figure 3 This is a flowchart illustrating a second embodiment of the adaptive pulse charging control method for shared power banks, according to the present invention. Figure 4 This is a schematic diagram of the overall flow of an adaptive pulse charging control method for shared power banks, as described in an embodiment of the present invention. Figure 5 This is a schematic diagram illustrating the detailed process of generating charging strategies in an embodiment of the adaptive pulse charging control method for shared power banks according to the present invention. Figure 6 This is a schematic diagram of the architecture of an in-warehouse adaptive pulse charging control system for shared power banks according to the present invention; Figure 7 This is a schematic diagram of an embodiment of the adaptive pulse charging control system architecture for shared power banks, according to the present invention. Figure 8 This is an embodiment of the adaptive pulse charging control system architecture for shared power banks, and is a schematic diagram of the overall adaptive pulse charging control system. Figure 9 This is a schematic diagram of the connection between a single charging slot and a power bank, representing an embodiment of the adaptive pulse charging control system architecture for shared power banks according to the present invention. Figure 10 This is a schematic diagram of an in-warehouse adaptive pulse charging control platform architecture for shared power banks according to the present invention; Figure 11 This is a schematic diagram of a computer-readable storage medium architecture in one embodiment of the present invention. Detailed Implementation
[0024] 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.
[0025] 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.
[0026] 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.
[0027] 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.
[0028] Preferably, the adaptive pulse charging control method for shared power banks 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.
[0029] 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.
[0030] This invention provides a method and system for adaptive pulse charging control within a shared power bank storage facility.
[0031] like Figure 1 The diagram shown is a flowchart of an in-cabin adaptive pulse charging control method for shared power banks provided by an embodiment of the present invention.
[0032] In this embodiment, the in-cabin adaptive pulse charging control method for shared power banks can be applied to terminals with display functions or fixed terminals. The terminals are not limited to personal computers, smartphones, tablets, desktop computers or all-in-one computers with cameras, etc.
[0033] The in-cabin adaptive pulse charging control method for shared 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 in-cabin adaptive pulse charging control method for shared power banks in this embodiment can be executed by the server, by the terminal, or by both the server and the terminal.
[0034] For example, for a terminal requiring in-cabin adaptive pulse charging control for shared power banks, the in-cabin adaptive pulse charging control function provided by the method of this invention can be directly integrated into the terminal, or a client 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 the in-cabin adaptive pulse charging control function for shared power banks. Terminals or other devices can then implement the in-cabin adaptive pulse charging control function for shared power banks through the provided interface. The invention will be further described below with reference to the accompanying drawings.
[0035] like Figures 1-5 As shown, this invention provides an in-cabin adaptive pulse charging control method for shared power banks, the method comprising the following steps: S01. Generate and acquire first trigger data corresponding to the shared power bank, and create first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is the trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is the battery identity information data and current status parameter data of the power bank; the current status parameter includes at least the battery health status; S02. Based on the first data, construct and generate second data corresponding to the shared power bank, and based on the second data, establish and generate third data corresponding to the second data; wherein, the second data is pulse charging strategy parameter data; the third data is charging feedback parameter data of the shared power bank; S03. Based on the third data, dynamically adjust the pulse charging parameter data and generate fourth data corresponding to the shared power bank in real time; wherein, the fourth data is charging completion prompt data.
[0036] The current state parameters also include the battery's initial state of charge and / or temperature; The battery health status is determined based on at least one of the following: the power bank's historical cycle count, historical internal resistance change data, or historical capacity decay data.
[0037] The step of constructing and generating second data corresponding to the shared power bank based on the first data, and constructing and generating third data corresponding to the second data based on the second data, further includes: S021. Create a preset health level category corresponding to the shared power bank, and classify and process the health level of the shared power bank in real time based on the first data and in combination with the preset health level category. S022. Construct a correspondence between all preset health level categories and the health status of the shared power bank. Based on the correspondence, query and generate fifth data corresponding to the shared power bank. The fifth data is a differentiated initial pulse charging strategy parameter, in which the initial pulse current amplitude allocated to the power bank with a lower health level is lower or the pulse interval time is longer than that of the power bank with a higher health level.
[0038] The charging feedback parameters include: the battery terminal voltage during the charging pulse, the battery voltage relaxation characteristics during the charging interval, and / or the battery temperature rise rate. If the temperature rise rate is detected to exceed the first safety threshold, the amplitude of the subsequent pulse current is reduced or the pulse interval time is extended. If the battery dynamic internal resistance obtained from the voltage relaxation characteristic analysis exceeds the second safety threshold, the power bank will be marked as a degraded battery and a current-limiting protection charging strategy will be implemented.
[0039] The method also includes a warehouse-level collaborative control step: S041. Generate and acquire the sixth data corresponding to the charging compartment cabinet in real time; wherein, the sixth data is the temperature information data of all charging slots in the charging compartment cabinet; If it is determined that there is local overheating or the overall average temperature exceeds the third safety threshold, the charging power of some or all charging slots will be reduced according to the preset priority strategy.
[0040] Specifically, in this embodiment of the invention, an in-cabin adaptive pulse charging control method for shared power banks is provided, the specific steps of which are as follows: Step 101 (Identity and Status Acquisition): When a user returns the shared power bank and inserts it into a specific slot in the charging cabinet, the physical connector (e.g., a Pogo Pin) of the slot connects to the contacts on the power bank. The main controller of the cabinet reads the data stored in the power bank's built-in battery management unit via a communication bus (e.g., I2C, single bus). This data includes unique identification information, such as the power bank ID and battery pack serial number.
[0041] Battery health status can be the State of Health (SOH) percentage calculated by the battery management unit based on historical data (e.g., based on capacity decay or internal resistance growth models), or it can be more raw data such as the number of completed charge-discharge cycles, the last calculated internal resistance value, and the nominal capacity. Preferably, the SOH is periodically calculated and updated by a cloud server based on historical charging big data (such as the capacity integral of each charge and changes in internal resistance), and then distributed to the battery management unit or the storage cabinet cache.
[0042] Other status parameters include reading or measuring the battery's current voltage (for estimating initial SOC) and temperature (which can be provided by the power bank or slot sensor).
[0043] Step 102 (Charging Strategy Generation): Step 1021, Health Status Classification: The strategy control module classifies the battery based on the acquired SOH value. For example, it sets: SOH ≥ 80% as "Class A (Healthy)"; 60% ≤ SOH < 80% as "Class B (Mild Aging)"; SOH < 60% as "Class C (Severe Aging)". The classification threshold can be adjusted according to the battery chemistry system and operation strategy. Step 1022, Parameter Mapping: The system pre-stores or obtains a "Health Level - Pulse Parameter Baseline" mapping table from the cloud. For example: For Class A batteries: a high-current fast charging pulse strategy is adopted, such as a 2C pulse current (assuming a battery capacity of 2000mAh, then 2C corresponds to 4A), pulse width of 200ms, interval of 50ms, and cutoff voltage of 4.2V. For Class B batteries: a standard pulse strategy is adopted, such as a 1C pulse current, pulse width of 150ms, and interval of 100ms. For Class C batteries: adopt a protective slow charging strategy, such as 0.5C pulse current, pulse width of 100ms, interval of 200ms, and the cutoff voltage can be appropriately reduced to 4.15V to extend life.
[0044] Furthermore, the initial parameters can be fine-tuned in conjunction with the initial SOC. For example, for batteries with extremely low SOC (<10%), a small current pre-charge can be used in the initial stage.
[0045] Step 103 (Dynamic Pulse Charging and Monitoring): The pulse charging execution module generates a corresponding pulse current to charge the battery based on the generated strategy parameters. For example... Figure 3 As shown, during the charging pulse period (Ton), a constant current charges the battery, causing the voltage to rise. During the pulse interval (Toff), charging stops, and the monitoring feedback module begins to operate: it measures the relaxation process of the battery terminal voltage using a high-precision ADC. It reads temperature sensor data and calculates the current temperature rise rate (dT / dt). After one complete pulse cycle, the average charging voltage and current can be estimated.
[0046] Step 104 (Dynamic parameter adjustment): The strategy control module performs real-time closed-loop control based on the monitoring data.
[0047] Temperature-based adjustment: If the dT / dt of a battery is detected to exceed a preset threshold (e.g., 1℃ / min), the current amplitude of the next pulse is immediately reduced (e.g., from 2C to 1.5C), or the interval is extended. This is the first line of defense against overheating.
[0048] Voltage / Internal Resistance-Based Adjustment and Diagnosis: During intermittent periods, the instantaneous dynamic internal resistance of the battery can be estimated by analyzing the voltage drop curve. If the calculated internal resistance value increases by more than a certain percentage (e.g., 50%) compared to the battery's historical baseline value, or if the absolute value exceeds a safety threshold (e.g., 100mΩ), the strategy control module determines that the battery is severely degraded. The system will: a) immediately switch to a more conservative "safe mode" charging (e.g., 0.2C constant current); b) after the battery is fully charged, mark its status as "fault" or "pending recycling" and report it to the operation and maintenance platform via the network.
[0049] SOC-based adjustment: As the battery SOC increases, polarization intensifies, and the system can automatically and gradually reduce the pulse current amplitude, smoothly transitioning to trickle charging until it is cut off.
[0050] Step 105 (Cabinet-level Collaborative Control): This method also includes a global optimization layer. The main controller of the charging cabinet aggregates the real-time temperature of all active slots. If a significantly higher temperature is detected in a certain area (local hotspot), or the average temperature inside the cabinet exceeds a certain value of the ambient temperature, the main controller will initiate a collaborative power reduction strategy. For example, it will prioritize reducing the power of slots with lower State of Harm (SOH) and higher temperatures, or it will proportionally dredge all slots to ensure that the overall operation remains within a safe temperature range.
[0051] To achieve the above objectives, the present invention also provides an in-cabin adaptive pulse charging control system for shared power banks, such as... Figures 6-8 As shown, the system is applied to the in-cabin adaptive pulse charging control method for shared power banks, and the system includes: A data creation and generation unit is used to generate and acquire first trigger data corresponding to a shared power bank, and to create and generate first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is battery identity information data and current status parameter data of the power bank; the current status parameters include at least the battery health status; A data construction and generation unit is used to construct and generate second data corresponding to the shared power bank based on the first data, and to establish and generate third data corresponding to the second data based on the second data; wherein, the second data is pulse charging strategy parameter data; and the third data is charging feedback parameter data of the shared power bank; The data adjustment and generation unit is used to dynamically adjust the pulse charging parameter data according to the third data, and generate fourth data corresponding to the shared power bank in real time; wherein, the fourth data is charging completion prompt data.
[0052] The current state parameters also include the battery's initial state of charge and / or temperature; The battery health status is determined based on at least one of the following: the power bank's historical cycle count, historical internal resistance change data, or historical capacity decay data.
[0053] The data construction and generation unit further includes: The first processing module is used to create a preset health level category corresponding to the shared power bank, and to classify and process the health level of the shared power bank in real time based on the first data and in combination with the preset health level category. The first generation module is used to construct a correspondence between all preset health level categories and the health status of the shared power bank, and based on the correspondence, to query and generate fifth data corresponding to the shared power bank; wherein, the fifth data is a differentiated initial pulse charging strategy parameter, in which the initial pulse current amplitude allocated to the power bank with a lower health level is lower or the pulse interval time is longer than that allocated to the power bank with a higher health level. The charging feedback parameters include: the battery terminal voltage during the charging pulse, the battery voltage relaxation characteristics during the charging interval, and / or the battery temperature rise rate. If the temperature rise rate is detected to exceed the first safety threshold, the amplitude of the subsequent pulse current is reduced or the pulse interval time is extended. If the battery dynamic internal resistance obtained from the voltage relaxation characteristic analysis exceeds the second safety threshold, the power bank will be marked as a degraded battery and a current-limiting protection charging strategy will be implemented. The system also includes: The second generation module is used to generate and acquire the sixth data corresponding to the charging compartment cabinet in real time; wherein, the sixth data is the temperature information data of all charging slots in the charging compartment cabinet; If it is determined that there is local overheating or the overall average temperature exceeds the third safety threshold, the charging power of some or all charging slots will be reduced according to the preset priority strategy.
[0054] Specifically, in this embodiment of the invention, an in-cabin adaptive pulse charging control system for shared power banks is provided. The system is used to implement the control method described above, and the system includes: The charging cabinet has at least one charging slot; the power bank has a built-in battery management unit that stores the power bank's battery identification information and battery health status data. The charging compartment includes a status acquisition module, used to read the battery identity information and battery health status data when the power bank is inserted into the charging slot; The strategy control module is communicatively connected to the status acquisition module and is used to generate pulse charging strategy parameters based on the battery health status data. A pulse charging execution module, connected to the strategy control module, is used to output a pulse charging current to the power bank according to the pulse charging strategy parameters; The monitoring and feedback module is used to collect the charging feedback parameters of the power bank in real time during the charging process, and send the charging feedback parameters to the strategy control module so that it can dynamically adjust the pulse charging strategy parameters.
[0055] The monitoring feedback module includes: a voltage and current detection unit, used to detect the battery terminal voltage and charging current during the charging process; A temperature sensing unit is located in the charging slot or integrated into the power bank, and is used to detect the battery temperature. The strategy control module is also configured to: calculate the temperature rise rate based on the temperature data fed back by the temperature sensing unit, and calculate the dynamic internal resistance of the battery based on the voltage data collected by the voltage and current detection unit during the charging interval.
[0056] The system also includes a cloud server, which is communicatively connected to the strategy control module of the charging compartment. The cloud server stores multiple full lifecycle data of the power bank and is used to update the battery health status data based on the full lifecycle data, or to send the updated data to the charging cabinet or the battery management unit of the power bank.
[0057] The pulse charging execution module is a multi-channel independently controllable charging circuit, and the strategy control module can independently control the pulse charging parameters of each charging slot. The strategy control module is also configured to perform cabinet-level thermal collaborative management and uniformly schedule the charging power of each channel according to the temperature information of all charging slots.
[0058] Preferably, based on the above embodiments, in another embodiment of this solution system, an adaptive pulse charging control system for implementing the above method is provided.
[0059] The system mainly includes power banks and charging cabinets, and can selectively communicate with a cloud server.
[0060] The core of the power bank consists of a battery pack and a connected battery management unit (BMS). The BMS is responsible for basic battery protection (overcharge, over-discharge, overcurrent, short circuit) and includes a non-volatile memory for storing the power bank's identification identifier and continuously updated battery health status data. The power bank's outer casing has data / power contacts.
[0061] The charging cabinet contains multiple charging slots with identical physical structures. Each slot integrates a status acquisition module, typically a functional unit of a microcontroller, which communicates with the power bank's BMS via the slot's communication contacts to read identity and status data.
[0062] Pulse charging execution module: This is a programmable switching power supply circuit, such as a Buck or Boost-Buck circuit composed of MOSFETs, inductors, capacitors and driver chips, which can receive digital instructions (such as PWM signals) from the controller and output a controlled pulse current waveform.
[0063] The monitoring and feedback module includes a high-precision voltage sampling circuit, a current sampling circuit (which can be integrated into the execution module), and a temperature sensor mounted on the inner wall of the slot or in contact with the power bank. These circuits convert analog signals into digital signals for the controller to read.
[0064] Strategy Control Module: This is the "brain" of the storage unit, and can be an embedded microprocessor (such as an ARM Cortex-M series). It receives data from the status acquisition module, runs internal control algorithms (or queries a mapping table, as shown in Table 1), generates pulse parameter instructions to send to the pulse charging execution module, and processes data uploaded by the monitoring feedback module to achieve dynamic adjustments. The strategy control module is also responsible for the collaborative management between the various slots.
[0065] Table 1: Health Status - Parameter Mapping Table
[0066] The cloud server stores a full lifecycle database of all power banks and runs a more complex battery health analysis model. It can periodically analyze the charging data reported by each power bank, calculate a more accurate State of Health (SOH), and send the results to the corresponding charging cabinets or directly write them to the power bank's Battery Management System (BMS). Simultaneously, the server can collect global data to optimize the "health level-pulse parameter" mapping table sent to all charging cabinets.
[0067] In the system solution embodiment of the present invention, the specific details of the method steps involved in the adaptive pulse charging control in the warehouse of shared power banks have been described above. That is to say, the functional modules in the system are used to implement the steps or sub-steps in the above method embodiment, which will not be repeated here.
[0068] To achieve the above objectives, the present invention also provides an in-cabin adaptive pulse charging control platform for shared power banks, such as... Figure 10 As shown, it includes a processor, a memory, and a control program for an in-cabin adaptive pulse charging control platform applied to shared power banks; wherein, the processor executes the control program for the in-cabin adaptive pulse charging control platform applied to shared power banks, and the control program for the in-cabin adaptive pulse charging control platform applied to shared power banks is stored in the memory; the control program for the in-cabin adaptive pulse charging control platform applied to shared power banks implements the steps of the in-cabin adaptive pulse charging control method applied to shared power banks; for example: S01. Generate and acquire first trigger data corresponding to the shared power bank, and create first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is the trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is the battery identity information data and current status parameter data of the power bank; the current status parameter includes at least the battery health status; S02. Based on the first data, construct and generate second data corresponding to the shared power bank, and based on the second data, establish and generate third data corresponding to the second data; wherein, the second data is pulse charging strategy parameter data; the third data is charging feedback parameter data of the shared power bank; S03. Based on the third data, dynamically adjust the pulse charging parameter data and generate fourth data corresponding to the shared power bank in real time; wherein, the fourth data is charging completion prompt data.
[0069] The specific details of the steps have been explained above and will not be repeated here.
[0070] In this embodiment of the invention, the built-in processor of the in-cabin adaptive pulse charging control platform for shared 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 in-cabin adaptive pulse charging control for shared power banks and process data. The memory is used to store program code and various data. It is installed in the adaptive pulse charging control platform used in shared power banks and enables high-speed, automatic access to programs or data during operation. 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.
[0071] To achieve the above objectives, the present invention also provides a computer-readable storage medium, such as... Figure 11 As shown, the computer-readable storage medium stores a control program for an in-cabin adaptive pulse charging control platform applied to shared power banks. This control program implements the steps of the in-cabin adaptive pulse charging control method for shared power banks; for example: S01. Generate and acquire first trigger data corresponding to the shared power bank, and create first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is the trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is the battery identity information data and current status parameter data of the power bank; the current status parameter includes at least the battery health status; S02. Based on the first data, construct and generate second data corresponding to the shared power bank, and based on the second data, establish and generate third data corresponding to the second data; wherein, the second data is pulse charging strategy parameter data; the third data is charging feedback parameter data of the shared power bank; S03. Based on the third data, dynamically adjust the pulse charging parameter data and generate fourth data corresponding to the shared power bank in real time; wherein, the fourth data is charging completion prompt data.
[0072] The specific details of the steps have been explained above and will not be repeated here.
[0073] In the description of embodiments of the present invention, it should be noted that any process or method description in the flowcharts or otherwise described herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order according to the functions involved, as should be understood by those skilled in the art to which the embodiments of the present invention pertain.
[0074] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processing module, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, a “computer-readable medium” can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, the computer-readable medium can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.
[0075] This invention utilizes a method to generate and acquire first trigger data corresponding to a shared power bank, and then creates corresponding first data based on this first trigger data. The first trigger data is trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet. The first data includes the power bank's battery identity information and current status parameters, with the current status parameters including at least the battery health status. Based on the first data, a second data corresponding to the shared power bank is constructed and generated, and a third data corresponding to the second data is established and generated based on the second data. The second data is pulse charging strategy parameter data, and the third data is charging feedback parameter data of the shared power bank. Based on the third data, the pulse charging parameter data is dynamically adjusted, and a fourth data corresponding to the shared power bank is generated in real time. The fourth data is charging completion notification data. This allows for personalized and refined charging management of power banks in different health states, thereby extending the overall battery life, improving the safety and efficiency of the charging process, and providing online battery health diagnostic capabilities.
[0076] In other words, the present invention solves the problems of battery life loss, thermal safety risks, and difficulty in identifying degraded batteries caused by centralized charging by matching differentiated pulse charging strategies to shared power banks in different health states, and dynamically adjusting the voltage and temperature feedback in real time during the charging process, while implementing warehouse-level thermal collaborative management. This results in a significant extension of battery cycle life, an essential improvement in charging safety, and intelligent asset management.
[0077] 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. An in-cabin adaptive pulse charging control method for shared power banks, characterized in that, The method includes: Generate and acquire first trigger data corresponding to the shared power bank, and create first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is the trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is the battery identity information data and current status parameter data of the power bank; the current status parameter includes at least the battery health status; Based on the first data, second data corresponding to the shared power bank is generated, and based on the second data, third data corresponding to the second data is generated; wherein, the second data is pulse charging strategy parameter data; and the third data is charging feedback parameter data of the shared power bank; Based on the third data, the pulse charging parameter data is dynamically adjusted, and a fourth data corresponding to the shared power bank is generated in real time; wherein, the fourth data is charging completion prompt data.
2. The adaptive pulse charging control method for shared power banks in a charging station according to claim 1, characterized in that, The current state parameters also include the battery's initial state of charge and / or temperature; The battery health status is determined based on at least one of the following: the power bank's historical cycle count, historical internal resistance change data, or historical capacity decay data.
3. A method for in-cabin adaptive pulse charging control of shared power banks according to claim 1 or 2, characterized in that, The step of constructing and generating second data corresponding to the shared power bank based on the first data, and constructing and generating third data corresponding to the second data based on the second data, further includes: Create a preset health level category corresponding to the shared power bank, and classify and process the health level of the shared power bank in real time based on the first data and in combination with the preset health level category; A correspondence is established between the preset health level categories and the health status of the shared power bank. Based on the correspondence, a fifth data corresponding to the shared power bank is generated. The fifth data is a differentiated initial pulse charging strategy parameter, in which the initial pulse current amplitude allocated to the power bank with a lower health level is lower or the pulse interval time is longer than that allocated to the power bank with a higher health level.
4. The in-cabin adaptive pulse charging control method for shared power banks according to claim 3, characterized in that, The charging feedback parameters include: the battery terminal voltage during the charging pulse, the battery voltage relaxation characteristics during the charging interval, and / or the battery temperature rise rate. If the temperature rise rate is detected to exceed the first safety threshold, the amplitude of the subsequent pulse current is reduced or the pulse interval time is extended. If the battery dynamic internal resistance obtained from the voltage relaxation characteristic analysis exceeds the second safety threshold, the power bank will be marked as a degraded battery and a current-limiting protection charging strategy will be implemented.
5. The in-cabin adaptive pulse charging control method for shared power banks according to claim 1, characterized in that, The method also includes a warehouse-level collaborative control step: The sixth data corresponding to the charging compartment cabinet is generated and acquired in real time; wherein, the sixth data is the temperature information data of all charging slots in the charging compartment cabinet; If it is determined that there is local overheating or the overall average temperature exceeds the third safety threshold, the charging power of some or all charging slots will be reduced according to the preset priority strategy.
6. An in-cabin adaptive pulse charging control system for shared power banks, characterized in that, The system is applied to the in-cabin adaptive pulse charging control method for shared power banks as described in any one of claims 1 to 5, and the system includes: A data creation and generation unit is used to generate and acquire first trigger data corresponding to a shared power bank, and to create and generate first data corresponding to the shared power bank based on the first trigger data; wherein, the first trigger data is trigger sensing data when the power bank is inserted into the charging slot of the charging cabinet; the first data is battery identity information data and current status parameter data of the power bank; the current status parameters include at least the battery health status; A data construction and generation unit is used to construct and generate second data corresponding to the shared power bank based on the first data, and to establish and generate third data corresponding to the second data based on the second data; wherein, the second data is pulse charging strategy parameter data; and the third data is charging feedback parameter data of the shared power bank; The data adjustment and generation unit is used to dynamically adjust the pulse charging parameter data according to the third data, and generate fourth data corresponding to the shared power bank in real time; wherein, the fourth data is charging completion prompt data.
7. The in-cabin adaptive pulse charging control system for shared power banks according to claim 6, characterized in that, The current state parameters also include the battery's initial state of charge and / or temperature; The battery health status is determined based on at least one of the following: the power bank's historical cycle count, historical internal resistance change data, or historical capacity decay data.
8. The in-cabin adaptive pulse charging control system for shared power banks according to claim 6, characterized in that, The data construction and generation unit further includes: The first processing module is used to create a preset health level category corresponding to the shared power bank, and to classify and process the health level of the shared power bank in real time based on the first data and in combination with the preset health level category. The first generation module is used to construct a correspondence between all preset health level categories and the health status of the shared power bank, and based on the correspondence, to query and generate fifth data corresponding to the shared power bank; wherein, the fifth data is a differentiated initial pulse charging strategy parameter, in which the initial pulse current amplitude allocated to the power bank with a lower health level is lower or the pulse interval time is longer than that allocated to the power bank with a higher health level. The charging feedback parameters include: the battery terminal voltage during the charging pulse, the battery voltage relaxation characteristics during the charging interval, and / or the battery temperature rise rate. If the temperature rise rate is detected to exceed the first safety threshold, the amplitude of the subsequent pulse current is reduced or the pulse interval time is extended. If the battery dynamic internal resistance obtained from the voltage relaxation characteristic analysis exceeds the second safety threshold, the power bank will be marked as a degraded battery and a current-limiting protection charging strategy will be implemented. The system also includes: The second generation module is used to generate and acquire the sixth data corresponding to the charging compartment cabinet in real time; wherein, the sixth data is the temperature information data of all charging slots in the charging compartment cabinet; If it is determined that there is local overheating or the overall average temperature exceeds the third safety threshold, the charging power of some or all charging slots will be reduced according to the preset priority strategy.
9. An in-warehouse adaptive pulse charging control platform for shared power banks, characterized in that, The system includes a processor, a memory, and a control program for an in-cabin adaptive pulse charging control platform applied to shared power banks. The processor executes the in-cabin adaptive pulse charging control platform control program for shared power banks, which is stored in the memory. The in-cabin adaptive pulse charging control platform control program for shared power banks implements the in-cabin adaptive pulse charging control method for shared power banks as described in any one of claims 1 to 5.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a control program for an in-cabin adaptive pulse charging control platform applied to shared power banks. The in-cabin adaptive pulse charging control platform control program for shared power banks implements the in-cabin adaptive pulse charging control method for shared power banks as described in any one of claims 1 to 5.