Charging control method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a charging control method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining type identification information of a battery; determining a target battery type of the battery based on the type identification information; determining a charging strategy through the target battery type; and controlling the multi-mode intelligent charging system of the high-temperature energy storage power station to charge the battery based on the charging strategy, and finally realizing efficient, safe and long-life charging of different types of batteries by identifying the type of the battery and customizing a charging scheme according to the type of the battery. Therefore, the technical problems that the charging efficiency is low, the safety is low and the service life of the battery is short due to the fact that the battery type of an existing high-temperature energy storage power station cannot be accurately recognized in the battery management aspect are effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of charging control technology, and in particular to a charging control method, a charging control device, an electronic device, and a computer-readable storage medium. Background Art

[0002] As an important energy storage and conversion system, high-temperature energy storage power stations have shown great application potential, especially in the fields of solar thermal power generation, grid peak regulation, and industrial heating. Its core principle is to use ultra-high temperature fluidized bed energy storage and release equipment to store thermal energy and convert the thermal energy into electricity or other forms of energy output when needed. However, high-temperature energy storage power stations in existing technologies have certain limitations in battery management. Specifically, the control systems of these power stations often lack the ability to accurately identify the type of energy storage unit battery. This defect can lead to the following adverse consequences:

[0003] First, charging efficiency is low. Different battery types have different charge and discharge characteristics and optimal operating parameters. If the control system cannot identify the battery type, it can use a unified charging strategy, failing to optimize the charging current and voltage. This results in slow charging, reduced energy conversion efficiency, and even overcharging or undercharging some batteries.

[0004] Secondly, safety is compromised. Inaccurate battery type identification can prevent the control system from implementing refined safety management strategies. For example, if the system fails to implement appropriate protective measures for certain battery types that are more sensitive to overheating or overcharging, thermal runaway, short circuits, and other safety hazards can occur, seriously threatening the stable operation of the power plant and the safety of personnel.

[0005] In addition, shortened battery life is also a potential problem. Improper charge and discharge management will accelerate the aging process of batteries, reduce their cycle life, and thus increase the operation and maintenance costs of power plants.

[0006] Therefore, how to improve the ability of high-temperature energy storage power stations to identify the types of energy storage unit batteries and, on this basis, achieve more efficient and safer charging and discharging management is one of the technical challenges that urgently need to be solved in this field. Summary of the Invention

[0007] The embodiments of the present invention provide a charging control method, device, electronic device, and computer-readable storage medium to overcome the above problems or at least partially solve the above problems.

[0008] An embodiment of the present invention discloses a charging control method, which is applied to a multi-mode intelligent charging system of a high-temperature energy storage power station, including:

[0009] Get the type identification information of the battery;

[0010] determining a target battery type of the battery based on the type identification information;

[0011] Determining a charging strategy based on the target battery type;

[0012] The high-temperature energy storage power station multi-mode intelligent charging system is controlled to charge the battery based on the charging strategy.

[0013] Optionally, the high-temperature energy storage power station multi-mode intelligent charging system includes a battery adapter interface for connecting to the battery, the battery is encapsulated with a type identification chip for establishing a communication protocol with the battery adapter interface, the type identification information includes a communication protocol broadcast sent by the type identification chip, and the step of determining the target battery type of the battery based on the type identification information includes:

[0014] A target battery type for the battery is determined based on the communication protocol broadcast.

[0015] Optionally, the type identification information includes an open circuit voltage value and internal resistance characteristic information of the battery, and the step of determining the target battery type of the battery based on the type identification information includes:

[0016] A target battery type of the battery is determined based on the open circuit voltage value and the internal resistance characteristic information.

[0017] Optionally, the type identification information includes a voltage response curve and temperature change of the battery, and the step of determining the target battery type of the battery based on the type identification information includes:

[0018] A target battery type of the battery is determined based on the voltage response curve and the temperature change.

[0019] Optionally, the step of determining a charging strategy according to the target battery type includes:

[0020] Determining a charging curve for the target battery type using the target battery type; the charging curve includes expected values ​​of current and voltage varying with time;

[0021] Determining a target charging current and a target charging voltage using expected values ​​of the current and voltage varying with time;

[0022] Obtaining real-time measurement of the actual charging current and actual battery voltage of the battery;

[0023] Calculating a target output power using the target charging current and the target charging voltage;

[0024] Calculating actual output power using the actual charging current and the actual battery voltage;

[0025] A power comparison result is generated based on the target output power and the actual output power, and a charging strategy is constructed based on the power comparison result.

[0026] Optionally, the high-temperature energy storage power station multi-mode intelligent charging system includes an ultra-high temperature fluidized bed energy storage and discharge device and a thermoelectric conversion module, and the step of controlling the high-temperature energy storage power station multi-mode intelligent charging system to charge the battery based on the charging strategy includes:

[0027] Based on the power comparison result, the heat energy transfer between the ultra-high temperature fluidized bed energy storage and release device and the thermoelectric conversion module is adjusted to control the actual output electric power of the thermoelectric conversion module to approach the target output power.

[0028] Optionally, the actual charging current is the thermoelectric conversion module output current of the thermoelectric conversion module, further comprising:

[0029] Determining the maximum continuous charging current or the maximum pulse charging current of the battery;

[0030] When the output current of the thermoelectric conversion module is greater than the maximum continuous charging current or the maximum pulse charging current, the output current of the thermoelectric conversion module is reduced.

[0031] The embodiment of the present invention further discloses a charging control device, wherein the method is applied to a multi-mode intelligent charging system of a high-temperature energy storage power station, including:

[0032] A type identification information acquisition module is used to obtain the type identification information of the battery;

[0033] a target battery type determining module, configured to determine a target battery type of the battery based on the type identification information;

[0034] a charging strategy determination module, configured to determine a charging strategy based on the target battery type;

[0035] A charging control module is used to control the high-temperature energy storage power station multi-mode intelligent charging system to charge the battery based on the charging strategy.

[0036] An embodiment of the present invention further discloses an electronic device, comprising a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus;

[0037] The memory is used to store computer programs;

[0038] The processor is configured to implement the method described in the embodiment of the present invention when executing the program stored in the memory.

[0039] An embodiment of the present invention further discloses a computer-readable storage medium having instructions stored thereon. When executed by one or more processors, the processors are enabled to execute the method according to the embodiment of the present invention.

[0040] The embodiments of the present invention include the following advantages:

[0041] In an embodiment of the present invention, type identification information of a battery is obtained; a target battery type of the battery is determined based on the type identification information; a charging strategy is determined based on the target battery type; and a multi-mode intelligent charging system of a high-temperature energy storage power station is controlled to charge the battery based on the charging strategy. By first identifying the battery type and then customizing a charging plan based on the battery type, efficient, safe, and long-life charging of different types of batteries is ultimately achieved, thereby effectively solving the technical problem of the inability to accurately identify battery types in battery management in existing high-temperature energy storage power stations, resulting in low charging efficiency, low safety, and short battery life.

[0042] Specifically:

[0043] Improved charging efficiency: By accurately identifying the battery type and adopting a targeted charging strategy, the charging current and voltage can be optimized to better match the battery's optimal operating parameters, thereby significantly improving charging speed and energy conversion efficiency, and solving the problem of low charging efficiency in existing technologies.

[0044] Improved charging safety: Accurate battery type identification enables the system to implement refined safety management strategies. For example, for battery types sensitive to overheating or overcharging, the system can implement stricter temperature and voltage protection measures, effectively avoiding safety hazards such as thermal runaway and short circuits, thus resolving the safety issues associated with existing technologies.

[0045] Extending battery life: By adopting a charging strategy that matches the battery type (steps 103-104), damage to the battery caused by improper charge and discharge management can be avoided, the battery aging process can be slowed down, and its cycle life can be extended, thereby reducing the operation and maintenance costs of the power station and solving the problem of shortened battery life in the existing technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 is a flowchart of a charging control method provided in an embodiment of the present invention;

[0047] Figure 2 is a structural block diagram of a charging control device provided in an embodiment of the present invention;

[0048] Figure 3 This is a hardware structure block diagram of an electronic device provided in each embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0050] In practical applications, high-temperature energy storage stations, a cutting-edge technology in the energy storage field, are gaining increasing attention for their potential in providing direct charging for a wide range of battery types. This innovative application scenario offers significant advantages, such as the ability to leverage the superior energy storage density and long lifespan of high-temperature energy storage stations to provide fast and efficient charging services for devices such as electric vehicles. In particular, the use of ultra-high-temperature fluidized bed energy storage and discharge equipment in fast-charging stations to directly charge electric vehicle batteries has the potential to significantly shorten charging times and significantly improve charging efficiency.

[0051] However, applying high-temperature energy storage power stations to direct battery charging still faces a series of key technical challenges:

[0052] 1. Optimization of hardware structure design:

[0053] 1.1 Compatible interfaces for multiple battery types: How to design a stable and reliable hardware connection solution to ensure that the thermal energy to electrical energy conversion process can seamlessly adapt to different types of batteries.

[0054] 1.2 Integration and layout of energy storage equipment: How to efficiently integrate and rationally layout ultra-high temperature fluidized bed energy storage and discharge equipment in the charging station environment to meet actual application needs.

[0055] 2. Stability and efficiency of thermal to electrical energy conversion:

[0056] 2.1 Stable conversion under environmental adaptability: How to ensure that the thermal energy stored in the high-temperature energy storage power station is stably and efficiently converted into electrical energy in the complex operating environment of the charging station.

[0057] 2.2 Improvement of energy conversion efficiency: How to further improve the thermoelectric conversion efficiency, minimize energy loss, and thus improve the overall performance of the system.

[0058] 3. Precise control and safety assurance of the battery charging process:

[0059] 3.1 Charging safety and battery protection: How to effectively avoid damage to the battery during direct charging and ensure the safety and reliability of the charging process.

[0060] 3.2 Fine-tuning of heat release rate: How to precisely control the heat release rate to precisely match the charging characteristics of batteries of different types (such as lithium iron phosphate, ternary lithium, etc.) and under different power states.

[0061] 3.3 Balancing charging efficiency and battery protection: How to accurately calculate and control the heat release rate to maximize battery health and life while achieving optimal charging efficiency.

[0062] Reference Figure 1 , shows a flowchart of a charging control method provided in an embodiment of the present invention, which may specifically include the following steps:

[0063] Step 101, obtaining battery type identification information;

[0064] In practical applications, the embodiments of the present invention can be applied to a multi-mode intelligent charging system of a high-temperature energy storage power station, including an ultra-high temperature fluidized bed energy storage and discharge device, a thermoelectric conversion module, a multi-mode charging controller, and a battery adapter interface.

[0065] The ultra-high temperature fluidized bed energy storage and discharge equipment is connected to the multi-mode charge controller through a thermoelectric conversion module; the multi-mode charge controller integrates charging algorithms for multiple batteries and is connected to different types of batteries through a battery adapter interface.

[0066] The thermoelectric conversion module uses high-efficiency thermoelectric materials to ensure efficient conversion of thermal energy into electrical energy; the multi-mode charging controller monitors battery voltage, current and temperature in real time, and dynamically adjusts charging parameters, including heat release rate and charging current, to adapt to the charging needs of different types of batteries and different power states.

[0067] Ultra-high-temperature fluidized bed energy storage and release equipment is the core component of high-temperature energy storage power plants. Its primary function is to store high-temperature thermal energy and release it when needed. Specifically, it utilizes fluidized bed technology to achieve thermal energy storage and release through the flow and heat exchange of high-temperature media.

[0068] The thermoelectric conversion module converts the heat released by the ultra-high temperature fluidized bed energy storage and discharge equipment into electricity. It uses high-efficiency thermoelectric materials to improve the conversion efficiency of heat to electricity and ensure the stability of the power output.

[0069] The multi-mode charge controller is the "brain" of the entire charging system. Its main functions include: integrating charging algorithms for multiple batteries to adapt to the charging needs of different types of batteries; real-time monitoring of battery parameters such as voltage, current and temperature to ensure the safety and stability of the charging process; and dynamically adjusting charging parameters, including heat release rate and charging current, to optimize charging efficiency and protect the battery.

[0070] The battery adapter interface is used to connect different types of batteries, achieving physical connection and power transmission between the charging system and the battery. Its function is to provide a compatible charging interface for different battery types to ensure a smooth charging process.

[0071] The high-temperature energy storage power station's multi-mode intelligent charging system, through the coordinated operation of ultra-high-temperature fluidized bed energy storage and discharge equipment, thermoelectric conversion modules, a multi-mode charge controller, and a battery adapter interface, enables efficient, safe, and intelligent charging of different battery types. This system boasts high energy storage density, high charging efficiency, high compatibility, and high safety, and is expected to be widely used in the field of fast charging for electric vehicles.

[0072] In the embodiment of the present invention, by obtaining the type identification information of the battery, the charging system can identify the type of the connected battery. Only by knowing the "identity" of the battery can the system adopt a charging method that is consistent with its characteristics.

[0073] Beneficial effects: Different types of batteries can be distinguished, laying the foundation for the subsequent formulation of personalized charging strategies, avoiding battery performance degradation, shortened lifespan, and even safety risks caused by adopting inappropriate charging methods.

[0074] Battery type identification information refers to data that can uniquely or fully characterize the battery type, and may include but is not limited to:

[0075] Communication protocol broadcast: Information broadcast by the battery's internal chip according to specific communication rules (such as CAN, LIN, etc.), such as battery model, chemical system (such as NMC, LFP), manufacturer information, etc.

[0076] Open circuit voltage: The terminal voltage of a battery when no load is connected. Batteries of different chemistries typically have different typical open circuit voltage ranges. For example, the typical open circuit voltage platform for lithium iron phosphate batteries is approximately 3.2V / cell, while that for ternary lithium batteries is approximately 3.7V / cell.

[0077] Internal resistance: This refers to the ability of a battery to prevent the flow of current. The internal resistance varies with battery type and age. For example, this can be determined by measuring the battery's AC impedance spectrum or performing a DC internal resistance test.

[0078] Voltage response curve: The shape of the curve showing the battery voltage changing over time when a specific current is applied for charging or discharging. Different battery types have different voltage platforms and change trends.

[0079] Temperature variation: The rate and magnitude of battery temperature change during charging or discharging. Batteries with different chemistries and heat dissipation properties have different temperature rise characteristics.

[0080] Step 102: determining a target battery type of the battery based on the type identification information;

[0081] Purpose: Using the type identification information obtained in step 101, through comparison, analysis, and matching, ultimately determine the specific type of the currently connected battery.

[0082] Beneficial Effects: Accurately identifying the battery type is key to achieving intelligent charging. Only by knowing the battery type can the system use the appropriate charging algorithm and parameters to ensure safe and efficient charging.

[0083] Target Battery Type: The specific battery model or chemistry determined by the system. For example, this could be a "ternary lithium battery" or a "blade-type (LFP) battery of a certain brand and model." Once the target type is determined, the system can determine key battery parameters such as voltage limits, current limits, and temperature limits.

[0084] Example of how a multi-mode charge controller determines the battery type:

[0085] Reading information from the battery adapter interface: A battery adapter interface can be more than just a physical connector; it can integrate a communication protocol or identification module. When a battery is connected to the interface, the controller can use these protocols or modules to read the type identification information carried by the battery itself. This is similar to how a computer identifies a USB device or a mobile phone identifies the charger model. Battery manufacturers may embed a chip in the battery pack or use a specific communication protocol to broadcast the type information.

[0086] Voltage and internal resistance signature identification: Different battery types (e.g., lithium iron phosphate, ternary lithium, lithium titanate, etc.) exhibit different open-circuit voltage and internal resistance characteristics upon initial connection. The controller can perform a preliminary determination of the battery type by quickly measuring voltage and current and comparing them with a pre-set database of battery type signatures.

[0087] Dynamic characteristic analysis during charging: During the initial charging phase, the controller may perform a trial charge at a low current and monitor the battery's voltage response curve and temperature changes. Different battery types experience different voltage rise rates and temperature changes at the same charging current. The controller analyzes these dynamic characteristics and matches them with a pre-set battery model, enabling more accurate battery type identification.

[0088] Communication protocol negotiation: Some advanced battery management systems (BMS) enable bidirectional communication with charging equipment. Multi-mode charge controllers can exchange information with the battery's BMS via a specific communication protocol (such as the CAN bus), directly obtaining detailed information such as battery type, capacity, and health status.

[0089] User input or pre-configured configuration: In some scenarios, such as specific charging stations or devices, the user may be allowed to manually select the battery type, or the system may be pre-configured with a compatible battery type.

[0090] Step 103, determining a charging strategy based on the target battery type;

[0091] Purpose: Based on the battery type determined in step 102, select or generate the charging plan that best suits that type of battery. The charging strategy includes key parameters such as current, voltage, and temperature control during the charging process.

[0092] Beneficial Effects: Customized charging strategies for different battery types can optimize charging efficiency, shorten charging time, extend battery life, and improve charging safety. For example, lithium iron phosphate batteries can generally tolerate higher charge rates, while ternary lithium batteries require stricter temperature control during high-rate charging.

[0093] A charging strategy is a specific plan that guides the charging process and usually includes:

[0094] Charge Profile: A preset curve that shows the charging current or voltage changing over time, such as a constant current constant voltage (CC-CV) charge profile. Different battery types have different recommended charge profiles.

[0095] Charge cut-off condition: The condition that stops charging, such as reaching a specific voltage, current, or charge capacity.

[0096] Temperature protection strategy: During the charging process, when the battery temperature exceeds the safe range, measures such as reducing current and suspending charging are taken.

[0097] Balancing strategy: For battery packs, a balancing charging step can be included to ensure the voltage consistency of each single cell.

[0098] Heat release rate control strategy: Control the rate at which the ultra-high temperature fluidized bed energy storage and discharge equipment releases heat energy, thereby indirectly controlling the charging current.

[0099] Step 104 : Control the high-temperature energy storage power station multi-mode intelligent charging system to charge the battery based on the charging strategy.

[0100] Purpose: Based on the charging strategy determined in step 103, the various components of the high-temperature energy storage power station (such as the thermoelectric conversion module and the fluidized bed energy storage and discharge equipment) are actually controlled to work together to deliver energy to the battery safely and efficiently.

[0101] Beneficial effects: Charging according to the optimized strategy can give full play to the advantages of high-temperature energy storage power stations, achieve fast and safe charging, extend the battery life, and enhance user experience.

[0102] In an embodiment of the present invention, type identification information of a battery is obtained; a target battery type of the battery is determined based on the type identification information; a charging strategy is determined based on the target battery type; and a multi-mode intelligent charging system of a high-temperature energy storage power station is controlled to charge the battery based on the charging strategy. By first identifying the battery type and then customizing a charging plan based on the battery type, efficient, safe, and long-life charging of different types of batteries is ultimately achieved, thereby effectively solving the technical problem of the inability to accurately identify battery types in battery management in existing high-temperature energy storage power stations, resulting in low charging efficiency, low safety, and short battery life.

[0103] Specifically:

[0104] Improving charging efficiency: By accurately identifying the battery type and adopting a targeted charging strategy (steps 101-103), the charging current and voltage can be optimized to better match the battery's optimal operating parameters, thereby significantly improving the charging speed and energy conversion efficiency, and solving the problem of low charging efficiency in existing technologies.

[0105] Improved charging safety: Accurate battery type identification (steps 101-102) enables the system to implement refined safety management strategies (steps 103-104). For example, for battery types sensitive to overheating or overcharging, the system can implement more stringent temperature and voltage protection measures, effectively avoiding safety hazards such as thermal runaway and short circuits, thus resolving the safety issues associated with existing technologies.

[0106] Extending battery life: By adopting a charging strategy that matches the battery type (steps 103-104), damage to the battery caused by improper charge and discharge management can be avoided, the battery aging process can be slowed down, and its cycle life can be extended, thereby reducing the operation and maintenance costs of the power station and solving the problem of shortened battery life in the existing technology.

[0107] Based on the above embodiment, a modified embodiment of the above embodiment is proposed. It should be noted that, in order to simplify the description, only the differences from the above embodiment are described in the modified embodiment.

[0108] In an optional embodiment of the present invention, the high-temperature energy storage power station multi-mode intelligent charging system includes a battery adapter interface for connecting to the battery, the battery is encapsulated with a type identification chip for establishing a communication protocol with the battery adapter interface, the type identification information includes a communication protocol broadcast sent by the type identification chip, and the step of determining the target battery type of the battery based on the type identification information includes:

[0109] A target battery type for the battery is determined based on the communication protocol broadcast.

[0110] In a specific implementation, the embodiment of the present invention can determine the target battery type of the battery based on the communication protocol broadcast in the following manner.

[0111] Battery connection and communication establishment: When different types of batteries are connected to the multi-mode intelligent charging system through the battery adapter interface, the type identification chip inside the battery package starts to work. This chip is designed to establish a preset communication protocol with the battery adapter interface.

[0112] Type identification information broadcast: The type identification chip broadcasts a communication protocol containing battery type identification information to the battery adapter interface periodically or when a connection is established according to a pre-defined communication protocol. This broadcast can include a specific data packet or signal pattern that declares the battery model, chemical composition, or other parameters that uniquely identify its type.

[0113] Communication protocol broadcast reception and parsing: The multi-mode charge controller receives communication protocol broadcasts from the type identification chip through the battery adapter interface. The communication module within the controller parses the received broadcast information and extracts the type identification data.

[0114] Type identification information extraction: The controller decodes the parsed communication protocol broadcast and extracts key type identification information from it. This information can be a predefined code, string, or other data format, representing different battery types.

[0115] Target Battery Type Matching: The controller matches the extracted type identification information with a pre-stored battery type database or lookup table. This database contains identification information for various known battery types and their corresponding charging parameters and strategies.

[0116] Determine the target battery type: By comparing with the database, when the received type identification information completely matches an entry in the database, the controller successfully determines the target battery type of the currently connected battery.

[0117] In short, the process of determining the target battery type relies on the battery actively broadcasting its identity information through the type identification chip (following a specific communication protocol), and the charge controller is responsible for receiving, parsing and comparing this information to ultimately determine the specific type of the battery.

[0118] The purpose of determining the target battery type through communication protocol broadcasting is to accurately identify the battery type using the battery's own "identity card" that complies with specific communication rules. This is like scanning a product barcode or reading the EDID information of an electronic device, aiming to obtain key battery information in a standardized and direct manner.

[0119] Beneficial effects:

[0120] Direct and efficient identification: Communication protocol broadcasts are typically sent proactively by the type identification chip inside the battery. The charging system only needs to receive and parse this information, eliminating the need for complex voltage, internal resistance, or charge-discharge characteristic analysis. This makes the identification process more direct and efficient.

[0121] High information accuracy: The type information preset by battery manufacturers in the chip is usually accurate and reliable, avoiding misjudgment due to measurement errors or algorithm deviations, and improving the accuracy of battery type identification.

[0122] Good real-time performance: Communication protocol broadcast can be performed when the battery is connected or periodically. The charging system can quickly obtain the latest battery type information and realize plug-and-play intelligent identification.

[0123] Scalability and standardization: By defining a unified communication protocol and data format, it can easily support the identification of more new types of batteries in the future, and has good scalability and standardization potential.

[0124] Reduce system complexity: Compared with indirect identification methods that rely on parameters such as voltage and internal resistance, communication protocol broadcasting can simplify the hardware and software design of the charging controller, reducing system complexity and cost.

[0125] Potential additional information: Communication protocol broadcasts can include not only battery type, but also richer metadata such as battery capacity, health status, manufacturer information, etc., to support more refined charging management and maintenance.

[0126] In an optional embodiment of the present invention, the type identification information includes an open circuit voltage value and internal resistance characteristic information of the battery, and the step of determining the target battery type of the battery based on the type identification information includes:

[0127] A target battery type of the battery is determined based on the open circuit voltage value and the internal resistance characteristic information.

[0128] Open Circuit Voltage (OCV)

[0129] Definition: Open-circuit voltage is the voltage measured across a battery when it is not connected to any external circuit or load. At this point, no current flows through the battery, and the internal resistance of the voltmeter (used to measure voltage) is very large and almost negligible. Therefore, the measured voltage reflects the electromotive force generated by the chemical reactions within the battery.

[0130] characteristic:

[0131] Depends on battery type and state of charge: Batteries of different chemistries (such as lithium-ion, nickel-metal hydride, and lead-acid) have different typical open-circuit voltage ranges. For batteries of the same type, the open-circuit voltage typically correlates with its state of charge (SOC). The higher the SOC, the higher the open-circuit voltage.

[0132] Basic parameters for distinguishing battery characteristics: The open circuit voltage value is one of the important parameters for initially distinguishing different battery types.

[0133] Affected by the rest time: Measuring the accurate open circuit voltage usually requires that the battery be left at rest for a period of time to eliminate the polarization effect inside the battery and allow the voltage to reach a stable state.

[0134] Internal Resistance

[0135] Definition: Internal resistance refers to the resistance inside the battery that prevents the flow of current. It exists in all components of the battery, including electrode materials, electrolytes, diaphragms, tabs, and connectors.

[0136] characteristic:

[0137] Impact on battery operating voltage and performance: When current flows through a battery, some voltage is lost across its internal resistance (according to Ohm's law, voltage drop = current × internal resistance), causing the battery's actual output voltage (operating voltage) to be lower than its open-circuit voltage. The lower the internal resistance, the more stable the battery's voltage output and the greater its load capacity.

[0138] Internal resistance is one of the key parameters that characterize battery performance. Lower internal resistance generally means that the battery has better power output capability and higher energy conversion efficiency.

[0139] Varies with battery status: The internal resistance of a battery is not a fixed value and is affected by many factors, including:

[0140] 1. State of Charge (SOC): The internal resistance is usually higher at low and high charges, and lower at intermediate charges.

[0141] 2. Temperature: Lower temperatures usually lead to increased internal resistance.

[0142] 3. Cycle life (ageing degree): As the battery is used more frequently, the internal resistance will gradually increase, which is one of the important characteristics of battery aging.

[0143] 4. Battery type: Batteries of different chemical systems have different internal resistance characteristics.

[0144] There are many methods for measuring battery internal resistance, including direct current method (DCIR), alternating current method (ACIR or impedance spectroscopy analysis EIS), etc. The AC method can usually more accurately separate the battery's ohmic internal resistance and polarization internal resistance.

[0145] In a specific implementation, the embodiment of the present invention can determine the target battery type of the battery based on the open circuit voltage value and the internal resistance characteristic information in the following manner.

[0146] Initial parameter measurement: When the battery is connected to the multi-mode charging system through the battery adapter interface, the controller will immediately perform preliminary electrical parameter measurements on the battery to obtain its current open-circuit voltage value.

[0147] Internal resistance characteristic evaluation: The controller uses a specific method to evaluate the internal resistance characteristic information of the battery. This can be achieved in the following ways (which can be used individually or in combination):

[0148] Apply a small current pulse method: Apply a short, small current pulse to the battery and measure the resulting voltage change. By analyzing the changes in current and voltage, the internal resistance of the battery can be calculated.

[0149] AC impedance spectroscopy: Apply AC signals of different frequencies to the battery and measure how the battery's impedance changes with frequency, thereby obtaining more comprehensive internal resistance characteristic information.

[0150] Discharge curve analysis method: At the initial connection stage, the battery is briefly discharged with a small current, and the voltage drop curve is analyzed to extract information related to the internal resistance.

[0151] Feature Data Extraction: The controller extracts key feature data from the measured open-circuit voltage and the evaluated internal resistance characteristics. For example, the open-circuit voltage itself is a feature; the internal resistance characteristics can be further processed to extract specific internal resistance values ​​(such as DC resistance and AC resistance at specific frequencies) or the trend of internal resistance changes with voltage / SOC.

[0152] Characteristic data comparison: The controller compares the extracted battery open circuit voltage and internal resistance characteristic data with the battery type characteristic database pre-stored in the system. This database contains the typical open circuit voltage range and internal resistance characteristic range or model of various known battery types.

[0153] Target battery type matching and preliminary judgment: The controller compares the measured open-circuit voltage value with the typical voltage range of each battery type in the database to preliminarily screen out suitable battery types. At the same time, the evaluated internal resistance characteristic data is matched with the internal resistance characteristic range or model of the corresponding battery type in the database.

[0154] Comprehensive Evaluation and Precise Determination: The controller comprehensively considers the degree of match between the open-circuit voltage and internal resistance characteristics. Only when both the measured open-circuit voltage and the estimated internal resistance closely match the characteristic data for a specific battery type in the database will the controller ultimately determine that the battery is the target type. If the data for multiple battery types are similar, further identification or selection of the most suitable type may be necessary based on dynamic parameters during subsequent charging.

[0155] Through the above steps, the multi-mode charge controller can use the static electrical characteristics (open circuit voltage) and dynamic electrical characteristics (internal resistance characteristics) of the battery to accurately identify the type of connected battery, laying the foundation for the subsequent formulation of accurate charging strategies.

[0156] The purpose of determining the target battery type based on open-circuit voltage and internal resistance is to utilize the battery's most basic electrical characteristics for preliminary and effective type identification. Both parameters are closely related to the battery's chemical composition and physical structure, providing key clues to distinguish different battery types.

[0157] The open circuit voltage value serves as a preliminary "identity tag": Batteries of different chemistries (such as lithium-ion, nickel-metal hydride, lead-acid, etc.) have different typical open circuit voltage ranges. By measuring the open circuit voltage, you can quickly narrow down the possible battery types.

[0158] Internal resistance characteristics serve as a more refined "fingerprint": Batteries of the same chemistry, but of different models or manufacturers, may have varying internal resistance characteristics (e.g., internal resistance magnitude, and how it changes with state of charge and temperature). Combined with internal resistance characteristics analysis, specific battery models can be more accurately distinguished.

[0159] Beneficial effects:

[0160] Quick preliminary identification: Open circuit voltage measurement is simple and easy to perform, which can quickly make a preliminary judgment on the battery type and narrow the search scope.

[0161] No complex operations required: Compared to performing charge and discharge cycles or interacting with complex communication protocols, simply measuring open-circuit voltage and internal resistance characteristics generally does not require complex controls or lengthy operations.

[0162] Relatively low cost: The sensors and circuits required to measure voltage and internal resistance are relatively simple, low cost, and easy to integrate into the charging system.

[0163] Providing a basis for subsequent more accurate identification: Preliminary type judgment can provide guidance for subsequent more refined identification methods (such as analyzing voltage response curves, temperature changes, or reading communication protocols), reducing the amount of calculation and matching scope.

[0164] Enhanced safety: Even in the event of communication failure or incomplete battery information, certain type inference can be performed through open-circuit voltage and internal resistance characteristics, avoiding the use of completely incorrect charging strategies, thereby improving charging safety.

[0165] Improved compatibility: For some "traditional" batteries that do not have complex communication protocols, type identification can still be performed by measuring their basic electrical characteristics (open circuit voltage and internal resistance), which improves the compatibility of the system.

[0166] In an optional embodiment of the present invention, the type identification information includes a voltage response curve and temperature change of the battery, and the step of determining the target battery type of the battery based on the type identification information includes:

[0167] A target battery type of the battery is determined based on the voltage response curve and the temperature change.

[0168] A battery's voltage response curve is the trajectory of the battery's terminal voltage over time when a certain current (charging or discharging) or a specific excitation signal is applied to the battery. It reflects the battery's internal electrochemical characteristics and dynamic response.

[0169] In a specific implementation, the embodiment of the present invention can determine the target battery type of the battery based on the voltage response curve and the temperature change in the following manner.

[0170] Initial charging stage: When the battery is connected to the multi-mode charging system, the controller will perform a short initial charging of the battery at a preset low current or a specific charging mode.

[0171] Voltage data acquisition: During the initial charging process, the controller will collect the battery voltage data in real time or at predetermined time intervals, record the trajectory of voltage changes over time, and thus form a voltage response curve.

[0172] Temperature data acquisition: At the same time, the controller will collect the battery temperature data in real time or at predetermined time intervals through the temperature sensor connected to the battery (or use the temperature data provided by the battery management system), record the trajectory of temperature changes over time, and form a temperature change curve.

[0173] Feature extraction and analysis: The controller extracts and analyzes the collected voltage response curve and temperature change curve. The key features that can be extracted include:

[0174] Voltage Rise Rate: The rate at which the voltage increases over time during the initial charging phase. The voltage rise rate varies for different battery types.

[0175] Voltage platform characteristics: Certain battery types may exhibit specific voltage platforms during charging.

[0176] Temperature Rise Rate: The rate at which the battery temperature increases over time during the initial charging phase. Different battery types have different heat generation characteristics, resulting in different temperature rise rates.

[0177] Temperature change trend: whether the temperature rises linearly or has an inflection point.

[0178] Voltage and Temperature Correlation: Analyze the correlation between voltage changes and temperature changes.

[0179] Pattern matching and comparison: The controller matches and compares the extracted voltage response curve and temperature variation characteristics with standard voltage response curve templates and standard temperature variation templates stored in the system for various known battery types. These templates contain the typical voltage and temperature variation behaviors of different battery types under the same or similar initial charging conditions.

[0180] Similarity Assessment and Preliminary Judgment: The controller calculates the similarity or difference between the actual collected curve features and each standard template. The battery type corresponding to the template with the highest similarity is considered a candidate target battery type.

[0181] Comprehensive judgment and precise determination: The controller comprehensively considers the matching results of the voltage response curve and the temperature change curve. Only when the actual collected voltage and temperature change behaviors are highly consistent with the standard template of a specific battery type will the controller finally determine that the battery is the target battery type. If there are multiple templates with a high degree of matching, it may be necessary to combine previous identification methods (such as communication protocol broadcast, open circuit voltage and internal resistance characteristics) for further judgment, or continue to monitor battery behavior during the subsequent charging process for more accurate identification.

[0182] By analyzing the battery’s voltage response and temperature changes during the initial charging phase, the multi-mode charge controller is able to capture the unique electrochemical and thermodynamic characteristics of different battery types, enabling accurate identification of their types.

[0183] The purpose of identifying the target battery type based on its voltage response curve and temperature change is to leverage the battery's electrochemical and thermodynamic behavior during charge and discharge for more accurate and robust identification. Both types of information are closely related to the battery's internal structure, material properties, and reaction kinetics, providing a more comprehensive "fingerprint" of the battery.

[0184] The voltage response curve reveals the electrochemical characteristics: When charging or discharging, the voltage change pattern of different types of batteries over time or capacity (such as voltage platform, polarization degree, voltage rise / fall rate) is unique, reflecting their inherent electrochemical reaction characteristics.

[0185] Temperature changes reflect thermal characteristics: Batteries generate heat during charging and discharging. Different battery types have different heat generation rates and heat dissipation characteristics, resulting in different temperature change patterns over time. Temperature changes are related to factors such as the battery's internal resistance, current, and electrochemical reaction efficiency.

[0186] By combining these two complementary pieces of information, batteries with similar voltage characteristics but different thermal properties, or batteries with small differences in voltage characteristics but significant differences in thermal properties, can be more reliably distinguished.

[0187] Beneficial effects:

[0188] Higher recognition accuracy: Relying solely on voltage response or temperature change can lead to misjudgment. Combining the two provides more comprehensive feature information, significantly improving the accuracy of battery type recognition, especially for batteries with similar voltage characteristics.

[0189] Greater robustness: Different environmental factors (such as ambient temperature) may affect voltage response or temperature changes. Analyzing both types of information simultaneously can help the system better eliminate external interference and improve recognition robustness.

[0190] Differentiating between batteries with similar electrochemical characteristics: Certain battery types may have similar voltage platforms or open-circuit voltage ranges, but their heat generation characteristics may differ significantly. Combining temperature variation analysis can effectively distinguish these batteries.

[0191] Consider the dynamic behavior of the battery: The voltage response curve and temperature changes are both dynamic manifestations of the battery under working conditions, which can reflect the actual performance and status of the battery, thereby making a type judgment that is more in line with the actual situation.

[0192] Potential health status assessment: Batteries' voltage response and temperature variation characteristics also change with aging. By analyzing these changes, it may be possible to assist in assessing the health status of batteries and incorporate them into type identification, further improving accuracy.

[0193] Improved charging safety: More accurate battery type identification means more precise temperature protection strategies can be adopted, avoiding safety issues such as overheating caused by not understanding the thermal characteristics of the battery.

[0194] In an optional embodiment of the present invention, the step of determining the charging strategy according to the target battery type includes:

[0195] Determining a charging curve for the target battery type using the target battery type; the charging curve includes expected values ​​of current and voltage varying with time;

[0196] Determining a target charging current and a target charging voltage using expected values ​​of the current and voltage varying with time;

[0197] Obtaining real-time measurement of the actual charging current and actual battery voltage of the battery;

[0198] Calculating a target output power using the target charging current and the target charging voltage;

[0199] Calculating actual output power using the actual charging current and the actual battery voltage;

[0200] A power comparison result is generated based on the target output power and the actual output power, and a charging strategy is constructed based on the power comparison result.

[0201] In the embodiment of the present invention, a charging curve for the target battery type can be determined based on the target battery type; the charging curve includes expected values ​​of current and voltage varying with time;

[0202] Purpose: For a specific identified battery type, select or generate an ideal current and voltage time trajectory that best matches its charging characteristics. This curve defines how the system should control current and voltage throughout the charging process to achieve efficient, safe, and battery-friendly charging.

[0203] Beneficial effects:

[0204] Optimize charging efficiency: Different battery types have different optimal charging curves. Adopting a targeted curve can maximize energy transfer efficiency and shorten charging time.

[0205] Ensure charging safety: The preset charging curve usually takes into account the battery's voltage and current limits to avoid operations such as overcharging or overcurrent that may cause safety issues.

[0206] Extend battery life: Following the charging curve recommended by the manufacturer or research institutions can help slow down the degradation of the battery and extend its service life.

[0207] In an embodiment of the present invention, the target charging current and target charging voltage may be determined by using the expected values ​​of the current and voltage changing with time;

[0208] Purpose: From the selected charging curve, based on the current charging stage (e.g., charging time or current battery state), extract the ideal current value (target charging current) and voltage value (target charging voltage) that the system should output at the current moment.

[0209] Beneficial effects:

[0210] Provide a clear target for energy output: The target charging current and voltage are specific instructions for controlling the high-temperature energy storage power station to charge the battery, providing a clear reference value for subsequent power control.

[0211] Achieve precise curve tracking: By continuously updating the target charging current and voltage, the system can guide the actual charging process to fit the preset optimization curve as closely as possible.

[0212] The embodiment of the present invention can obtain and measure the actual charging current and actual battery voltage of the battery in real time;

[0213] Purpose: To monitor the battery's current charging status in real time through sensors, including the current flowing through the battery and the voltage across the battery.

[0214] Beneficial effects:

[0215] The basis for achieving closed-loop control: The actual measurement value is the key to feedback control and is used to compare with the target value to adjust the system output and ensure the accuracy of the charging process.

[0216] Providing safety monitoring data: Real-time monitoring of battery voltage and current can promptly detect abnormal conditions (such as overcurrent and overvoltage), providing a data basis for safety mechanisms such as overload protection.

[0217] In the embodiment of the present invention, the target output power can be calculated using the target charging current and the target charging voltage;

[0218] Purpose: Calculate the power value that the system should theoretically provide to the battery based on the current expected charging current and voltage.

[0219] Beneficial effects:

[0220] Ideal reference for energy output: Target output power is an important indicator for evaluating and controlling the energy output of thermoelectric conversion modules.

[0221] Provides a benchmark for power comparison: By comparing the target output power with the actual output power, the performance and efficiency of the system can be evaluated.

[0222] In the embodiment of the present invention, the actual output power can be calculated using the actual charging current and the actual battery voltage;

[0223] Purpose: To calculate the actual power value currently provided by the system to the battery based on the real-time measurement of the actual charging current and voltage of the battery.

[0224] Beneficial effects:

[0225] Reflects the actual energy transmission status: The actual output power directly reflects the energy output level of the current charging system.

[0226] Providing a basis for power comparison: Comparing the actual output power with the target output power can guide the system to make adjustments to more accurately implement the charging strategy.

[0227] The embodiment of the present invention can generate a power comparison result based on the target output power and the actual output power, and construct a charging strategy based on the power comparison result.

[0228] Purpose: By comparing the expected output power (target output power) and the actual output power, analyzing the deviation between the two, and dynamically adjusting the charging strategy based on this deviation, a closed-loop feedback control system is formed.

[0229] Beneficial effects:

[0230] Achieve precise power control: Through power comparison, the system can understand whether the current energy output meets expectations and make adjustments based on deviations to make the actual output power as close to the target output power as possible.

[0231] Dynamically optimize the charging process: The charging strategy built based on the power comparison results can adapt to changes in battery status and system operating conditions in real time, achieving smarter and more efficient charging. For example, if the actual power is lower than the target power, the system may adjust the output of the thermoelectric conversion module; if the actual power is close to the battery limit, the system may adjust the target charging current or voltage.

[0232] Improve system stability: Closed-loop control can reduce the impact of external interference on the charging process and improve system stability.

[0233] In an optional embodiment of the present invention, the high-temperature energy storage power station multi-mode intelligent charging system includes an ultra-high temperature fluidized bed energy storage and discharge device and a thermoelectric conversion module. The step of controlling the high-temperature energy storage power station multi-mode intelligent charging system to charge the battery based on the charging strategy includes:

[0234] Based on the power comparison result, the heat energy transfer between the ultra-high temperature fluidized bed energy storage and release device and the thermoelectric conversion module is adjusted to control the actual output electric power of the thermoelectric conversion module to approach the target output power.

[0235] The multi-mode intelligent charging system for high-temperature energy storage power stations consists of two key parts:

[0236] Ultra-high temperature fluidized bed energy storage and release equipment: responsible for storing high-temperature thermal energy and releasing it when needed.

[0237] Thermoelectric conversion module: Receives thermal energy from energy storage and discharge equipment and converts it into electrical energy output for charging the battery.

[0238] In practical applications, the ultimate goal of control can be to make the actual output power of the thermoelectric conversion module (used to charge the battery) as close as possible to the previously calculated target output power. This target output power is determined based on the battery type and the desired charging curve.

[0239] The embodiments of the present invention can regulate the heat transfer between the ultra-high temperature fluidized bed energy storage and release device and the thermoelectric conversion module. Specifically, this may involve the following operations:

[0240] Adjusting the flow rate of the high-temperature medium: Controlling the flow rate of the high-temperature medium (such as molten salt or gas) flowing from the energy storage device to the thermoelectric conversion module. The greater the flow rate, the more heat energy is transferred.

[0241] Adjusting heat exchange efficiency: By controlling relevant parameters of the heat exchanger (such as valve opening, contact area, etc.), the efficiency of heat energy transfer from the high-temperature medium to the thermoelectric conversion module is changed.

[0242] Control the heat release rate of energy storage and discharge equipment: Control the release rate of thermal energy at the energy storage and discharge equipment level.

[0243] Control Logic: The system continuously compares the target output power with the actual electrical power output of the thermoelectric conversion module (calculated by measuring the battery's voltage and current). If there is a deviation between the two (i.e., the power comparison results are inconsistent), the control system will issue instructions to adjust the heat energy transfer between the energy storage device and the thermoelectric conversion module, thereby changing the input heat energy of the thermoelectric conversion module and ultimately adjusting its output electrical power to bring it closer to the target value.

[0244] In an embodiment of the present invention, the heat energy transfer between the ultra-high temperature fluidized bed energy storage and discharge device and the thermoelectric conversion module is adjusted based on the power comparison result to control the actual output electric power of the thermoelectric conversion module to approach the target output power. This ensures that the charging system accurately provides the required electric energy to the battery according to a predetermined strategy, thereby achieving efficient, safe and intelligent charging.

[0245] For example, the composition and execution of the charging strategy may be as follows:

[0246] 1. Control output power based on preset charging curve:

[0247] In this mode, the controller loads its preset charging curve (including the expected values ​​of current and voltage over time) based on the identified battery type. The steps to control the output power of the thermoelectric conversion module are as follows:

[0248] Determine the target charging current and voltage: Based on the preset charging curve, determine the target charging current (Itarget) and target charging voltage (Vtarget) in the current charging stage. These two values ​​are usually functions of time.

[0249] Measure actual battery voltage and current: Use sensors connected to the battery adapter interface to measure the actual charging current (Iactual) and actual battery voltage (Vactual) of the battery in real time.

[0250] Calculate the required output power: Ideally, the thermoelectric module's output power (Pout) should meet the battery's charging requirements: Pout = Vtarget × Itarget.

[0251] Power control signal generation: The controller compares the actual battery voltage and current with the target values ​​and generates corresponding control signals, which are sent to the thermoelectric module's power regulation unit. This control signal instructs the thermoelectric module to adjust its output voltage and current.

[0252] Thermoelectric conversion module power regulation: After receiving a control signal, the thermoelectric conversion module adjusts its internal hot-end temperature, cold-end temperature, or internal circuit parameters (for example, by adjusting voltage and current through a DC-DC converter), thereby changing its output power so that Vactual approaches Vtarget and Iactual approaches Itarget.

[0253] Feedback and closed-loop control: This is a closed-loop control system. The actual battery voltage and current are continuously monitored and fed back to the controller. The controller adjusts the control signal based on the deviation to ensure that the output power of the thermoelectric conversion module can accurately track the preset charging curve.

[0254] 2. Control output power based on real-time monitoring of battery parameters:

[0255] In this smarter mode, the controller dynamically adjusts the output power of the thermoelectric conversion module based on real-time monitoring of key parameters such as battery voltage, current, and temperature, to achieve safer and more efficient charging. The steps are as follows:

[0256] Real-time parameter monitoring: Continuously monitor the battery's actual charging voltage (Vactual), charging current (Iactual), and battery temperature (Tbattery).

[0257] Safety threshold determination: The controller compares the parameters it monitors in real time with preset safety thresholds. For example, if the battery voltage exceeds the maximum allowable value or the battery temperature is too high, the controller immediately reduces the output power of the thermoelectric conversion module to prevent overcharging or thermal runaway.

[0258] Charge state assessment: The controller assesses the battery's charge state (e.g., whether it is nearly fully charged) based on the current battery voltage, current, and possible battery internal resistance information. When the battery is nearly fully charged, the controller gradually reduces the charge current and enters the constant voltage charging phase.

[0259] Dynamic power adjustment strategy: The controller runs a complex algorithm to dynamically calculate the current optimal charging power requirement based on real-time parameters and the preset battery characteristic model. For example:

[0260] Within the permitted safety range, the output power can be increased to speed up charging.

[0261] When a rapid rise in battery temperature is detected, the output power needs to be reduced to slow down the temperature rise.

[0262] When the battery voltage approaches the set upper limit, it is necessary to switch to constant voltage mode to gradually reduce the charging current and thus reduce the output power.

[0263] Control Signal Generation and Power Regulation: Similar to control based on preset curves, the controller generates corresponding control signals and sends them to the thermoelectric conversion module, instructing it to adjust the output voltage and current, thereby controlling the output power. The thermoelectric conversion module adjusts its operating state based on the control signals.

[0264] Feedback and Optimization: Real-time monitored battery parameters are continuously fed back to the controller, which adjusts the output power based on the new parameters, achieving dynamic optimization and safety assurance of the charging process.

[0265] The purpose of the charging strategy is to control the implementation of the thermoelectric conversion module:

[0266] A thermoelectric module typically consists of a hot end and a cold end, generating a voltage through a temperature difference. Controlling its output power can be achieved through the following methods:

[0267] Adjusting the hot-end temperature: The hot-end temperature is adjusted by controlling the heat flow rate transferred from the ultra-high temperature fluidized bed energy storage and discharge device to the thermoelectric conversion module. This can be achieved by adjusting the fluid flow rate, valve opening, etc.

[0268] Adjusting the cold-end temperature: The cold-end temperature of the thermoelectric conversion module is adjusted by a cooling system (such as air cooling or liquid cooling).

[0269] Adjusting internal circuits: The output of the thermoelectric conversion module is usually connected to power electronic devices such as DC-DC converters. The controller can accurately control the output voltage and current by adjusting parameters such as the switching frequency and duty cycle of these converters.

[0270] Whether based on a preset charging profile or real-time monitoring of battery parameters, controlling the output power of the thermoelectric module relies on precise parameter measurement, intelligent control algorithms, and the thermoelectric module's own efficient power regulation capabilities. Real-time feedback and closed-loop control are key to ensuring a safe, stable, and efficient charging process.

[0271] In an optional embodiment of the present invention, the actual charging current is the output current of the thermoelectric conversion module of the thermoelectric conversion module, and further includes:

[0272] Determining the maximum continuous charging current or the maximum pulse charging current of the battery;

[0273] When the output current of the thermoelectric conversion module is greater than the maximum continuous charging current or the maximum pulse charging current, the output current of the thermoelectric conversion module is reduced.

[0274] This embodiment of the present invention monitors the current output by the thermoelectric conversion module to the battery and compares it with the maximum allowable charging current of the battery (whether continuous charging or short-duration pulse charging). If the output current exceeds these safety thresholds, the system will actively reduce the output current of the thermoelectric conversion module to prevent battery damage or safety issues caused by overcurrent.

[0275] Beneficial effects:

[0276] Protecting the battery from overcurrent damage: Batteries have strict charging current limits. Exceeding the maximum allowable charging current can cause battery overheating, increased internal pressure, electrolyte decomposition, performance degradation, and even serious safety incidents such as thermal runaway. This step effectively protects the battery from these overcurrent hazards by proactively reducing the output current.

[0277] Improve charging system safety: Overcurrent not only damages the battery but can also burden the charging system itself, such as by overloading the thermoelectric converter module. Limiting output current helps ensure safe and stable operation of the entire charging system.

[0278] Extending battery life: Even if the battery isn't immediately damaged, charging at excessive current for extended periods can accelerate battery aging and shorten its cycle life. Keeping the charging current within a safe range helps extend the battery's life.

[0279] Adapts to current limits for different battery types: Different battery types have different maximum charging current limits. By detecting and comparing these limits, the system can provide targeted overcurrent protection, ensuring that the charging process meets the safety requirements of each battery.

[0280] Improving the intelligence of the system: This mechanism of actively monitoring and adjusting current is an important component of the intelligent charging system. It can dynamically manage the charging process according to the actual capacity of the battery, rather than simply adopting a fixed current limit.

[0281] Exemplarily, charging overload protection may be performed in the following manner.

[0282] 1. Triggering conditions of overload protection:

[0283] Overload usually means that the current or power in the system exceeds the upper limit of the design or safe operation. In the charging system, the following parameters need to be monitored, and their exceeding the limit may trigger overload protection:

[0284] 1. Battery charging current (Icharge):

[0285] Trigger condition: The actual charging current exceeds the safety threshold of the maximum continuous charging current (Imax_charge_continuous) or the maximum pulse charging current (Imax_charge_pulse) specified by the battery manufacturer. This threshold needs to be dynamically adjusted according to the connected battery type.

[0286] Software implementation: Read the current sensor data in real time and compare it with the maximum charging current threshold allowed by the current battery type.

[0287] 2. Thermoelectric conversion module output current (ITEG_out):

[0288] Trigger condition: The current output by the thermoelectric conversion module to the battery exceeds the maximum output current allowed by its own design (ITEG_max_out).

[0289] Software implementation: Read the current sensor data on the output side of the thermoelectric conversion module in real time and compare it with the module's safe current threshold.

[0290] 3. Battery voltage (Vbattery):

[0291] Trigger condition: The battery voltage exceeds the maximum charge voltage (Vmax_charge) specified by the battery manufacturer. This usually occurs in the late stages of charging, but if the charging current is too high, it may also cause the voltage to rise rapidly.

[0292] Software implementation: Read the data of the battery voltage sensor in real time and compare it with the maximum charging voltage threshold allowed by the current battery type.

[0293] 4. Thermoelectric conversion module output power (PTEG_out = Vbattery × Icharge):

[0294] Trigger condition: The power output from the thermoelectric conversion module to the battery exceeds the maximum output power allowed by its own design (PTEG_max_out).

[0295] Software implementation: Calculates output power (based on voltage and current) in real time and compares it with the module's safe power threshold.

[0296] 5. Thermal power output (Qout) of ultra-high temperature fluidized bed energy storage and discharge equipment:

[0297] Triggering conditions: While not a direct electrical overload, excessive heat output can cause overload in the thermoelectric module. This requires setting a thermal power limit based on system design and the thermoelectric module's tolerances.

[0298] Software implementation: Indirectly monitor fluidized bed parameters such as temperature and fluid flow rate, estimate thermal power output through thermodynamic model, and compare with safety threshold.

[0299] 2. Overload protection method:

[0300] Once the above trigger conditions are detected, protective measures need to be taken immediately to prevent hardware damage and safety accidents. The following are some methods to implement overload protection at the software level:

[0301] 1. Immediately reduce the charging current (Icharge):

[0302] Implementation: This is achieved by sending control instructions to the thermoelectric conversion module, lowering its output voltage or adjusting its internal power conversion logic, thereby reducing the charging current flowing to the battery. This is the most direct and commonly used overload protection method.

[0303] Control objective: Make the actual charging current fall below the safety threshold.

[0304] 2. Limit the output power of the thermoelectric conversion module (PTEG_out):

[0305] Implementation: Software dynamically limits the maximum output voltage and current of the thermoelectric conversion module based on power thresholds. Even when battery demand is high, the module's actual output power is limited to a safe range.

[0306] 3. Gradually reduce heat output (Qout):

[0307] Implementation: If the overload is related to excessive input thermal power to the thermoelectric module, the software can control the ultra-high temperature fluidized bed energy storage and discharge equipment, such as reducing the flow rate of the high-temperature medium or adjusting the heating input to reduce the heat energy transferred to the thermoelectric module.

[0308] 4. Pause charging:

[0309] How it works: If the overload condition is severe or persistent, the software can immediately stop charging the battery. This can be achieved by completely shutting off the output of the thermoelectric module or setting it to zero output.

[0310] 5. Alarm and record:

[0311] Implementation: When overload protection is triggered, the software should generate an alarm to notify the user or monitoring system of the overload event. The software should also record the time of the overload, the triggering parameters, their values ​​at the time, and the protective measures taken to facilitate subsequent analysis and troubleshooting.

[0312] 6. Recovery Strategy:

[0313] Implementation: After the overload condition is resolved (for example, when current and voltage return to a safe range), the software can attempt to gradually resume charging. This should be done with caution, starting with a lower charging rate for a period of time to observe whether the system stabilizes, and then gradually resuming the normal charging strategy. If overloads occur frequently, further investigation may be necessary to determine if there are issues with the hardware or charging strategy.

[0314] 7. Dynamic threshold adjustment based on battery type and status:

[0315] Implementation: The software should dynamically adjust the overload protection threshold based on the identified battery type and real-time monitored battery status (e.g., temperature, state of charge (SoC)). For example, the upper limit of the battery charge current may be reduced in a high-temperature environment.

[0316] 3. Key steps to achieve:

[0317] Data acquisition: Read the data of each sensor (current, voltage, temperature) regularly or in real time.

[0318] Threshold Management: Store and manage safety thresholds for different battery types and system components. These thresholds should be configurable and updateable.

[0319] Real-time monitoring and comparison: Compare the collected data with the corresponding safety thresholds.

[0320] Decision logic: Based on the comparison results, perform corresponding protection actions (reducing current, limiting power, suspending charging, etc.).

[0321] Sending control instructions: Sending control instructions to hardware modules (mainly thermoelectric conversion modules and possible energy storage and release equipment control units).

[0322] Alarms and logging: Generates alarms and records system status and events.

[0323] It should be noted that for the sake of simplicity, the method embodiments are described as a series of actions. However, those skilled in the art should be aware that the embodiments of the present invention are not limited by the order of the actions described, because according to the embodiments of the present invention, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in this specification are all preferred embodiments, and the actions involved are not necessarily required by the embodiments of the present invention.

[0324] Reference Figure 2 , shows a structural block diagram of a charging control device provided in an embodiment of the present invention, which may specifically include the following modules:

[0325] A type identification information acquisition module 201 is used to obtain type identification information of a battery;

[0326] a target battery type determining module 202, configured to determine a target battery type of the battery based on the type identification information;

[0327] A charging strategy determination module 203 is configured to determine a charging strategy based on the target battery type;

[0328] The charging control module 204 is configured to control the high-temperature energy storage power station multi-mode intelligent charging system to charge the battery based on the charging strategy.

[0329] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0330] In addition, an embodiment of the present invention further provides an electronic device, comprising: a processor, a memory, and a computer program stored in the memory and runnable on the processor. When the computer program is executed by the processor, the various processes of the above-mentioned charging control method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0331] The embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, each process of the above-mentioned charging control method embodiment is implemented, and the same technical effect is achieved. To avoid repetition, the details are not described here. The computer-readable storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0332] Figure 3 A schematic diagram of the hardware structure of an electronic device for implementing various embodiments of the present invention.

[0333] The electronic device 300 includes but is not limited to: a radio frequency unit 301, a network module 302, an audio output unit 303, an input unit 304, a sensor 305, a display unit 306, a user input unit 307, an interface unit 308, a memory 309, a processor 310, and a power supply 311. It will be understood by those skilled in the art that Figure 3 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown, or may combine certain components or arrange the components differently. In the embodiments of the present invention, the electronic device includes but is not limited to a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle terminal, a wearable device, and a pedometer.

[0334] It should be understood that in this embodiment of the present invention, the RF unit 301 can be used to receive and transmit signals during information transmission or calls. Specifically, it receives downlink data from the base station and transmits it to the processor 310 for processing; in addition, it transmits uplink data to the base station. Typically, the RF unit 301 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and the like. Furthermore, the RF unit 301 can communicate with the network and other devices via a wireless communication system.

[0335] The electronic device provides users with wireless broadband Internet access through the network module 302, such as helping users to send and receive emails, browse web pages, and access streaming media.

[0336] The audio output unit 303 can convert audio data received by the RF unit 301 or the network module 302 or stored in the memory 309 into an audio signal and output it as sound. In addition, the audio output unit 303 can also provide audio output related to a specific function performed by the electronic device 300 (for example, a call signal reception sound, a message reception sound, etc.). The audio output unit 303 includes a speaker, a buzzer, a receiver, etc.

[0337] The input unit 304 is used to receive audio or video signals. The input unit 304 may include a graphics processing unit (GPU) 3041 and a microphone 3042. The GPU 3041 processes image data of still pictures or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The processed image frames can be displayed on the display unit 306. The image frames processed by the GPU 3041 can be stored in the memory 309 (or other storage medium) or transmitted via the RF unit 301 or the network module 302. The microphone 3042 can receive sound and process such sound into audio data. In the case of a telephone call mode, the processed audio data can be converted into a format that can be sent to a mobile communication base station via the RF unit 301 for output.

[0338] The electronic device 300 also includes at least one sensor 305, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 3061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 3061 and / or the backlight when the electronic device 300 is moved to the ear. As a type of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used to identify the posture of the electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; the sensor 305 can also include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which will not be repeated here.

[0339] The display unit 306 is used to display information input by the user or information provided to the user. The display unit 306 may include a display panel 3061, which may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

[0340] The user input unit 307 can be used to receive input digital or character information, and to generate key signal input related to the user settings and function control of the electronic device. Specifically, the user input unit 307 includes a touch panel 3071 and other input devices 3072. The touch panel 3071, also known as a touch screen, can collect user touch operations on or near it (such as operations performed by the user using any suitable object or accessory such as a finger, stylus, etc. on or near the touch panel 3071). The touch panel 3071 may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch direction and detects the signal caused by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 310, which receives and executes the command sent by the processor 310. In addition, the touch panel 3071 can be implemented using various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 3071, the user input unit 307 may also include other input devices 3072. Specifically, other input devices 3072 may include but are not limited to a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail here.

[0341] Furthermore, the touch panel 3071 may be overlaid on the display panel 3061. When the touch panel 3071 detects a touch operation on or near it, it transmits the information to the processor 310 to determine the type of touch event. Subsequently, the processor 310 provides corresponding visual output on the display panel 3061 according to the type of touch event. Figure 3 In the figure, the touch panel 3071 and the display panel 3061 are two independent components to realize the input and output functions of the electronic device. However, in some embodiments, the touch panel 3071 and the display panel 3061 can be integrated to realize the input and output functions of the electronic device, which is not limited here.

[0342] The interface unit 308 is an interface for connecting external devices to the electronic device 300. For example, the external devices may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, an audio input / output (I / O) port, a video I / O port, a headphone port, etc. The interface unit 308 may be used to receive input (e.g., data information, power, etc.) from the external device and transmit the received input to one or more elements within the electronic device 300, or may be used to transmit data between the electronic device 300 and the external device.

[0343] Memory 309 can be used to store software programs and various data. Memory 309 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function (such as a sound playback function or an image playback function); the data storage area may store data generated based on the use of the mobile phone (such as audio data, a phone book, etc.). Furthermore, memory 309 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0344] The processor 310 is the control center of the electronic device. It connects all parts of the electronic device using various interfaces and circuits. By running or executing software programs and / or modules stored in the memory 309 and accessing data stored in the memory 309, it performs various functions of the electronic device and processes data, thereby providing overall monitoring of the electronic device. The processor 310 may include one or more processing units; preferably, the processor 310 may integrate an application processor and a modem processor. The application processor primarily handles the operating system, user interface, and application programs, while the modem processor primarily handles wireless communications. It is understood that the modem processor may not be integrated into the processor 310.

[0345] The electronic device 300 may also include a power supply 311 (such as a battery) to supply power to each component. Preferably, the power supply 311 may be logically connected to the processor 310 through a power management system, thereby managing functions such as charging, discharging, and power consumption through the power management system.

[0346] In addition, the electronic device 300 includes some functional modules not shown, which will not be described here.

[0347] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0348] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0349] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are protected by the present invention.

[0350] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the embodiments of the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0351] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0352] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0353] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0354] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0355] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard drive, ROM, RAM, a magnetic disk, or an optical disk.

[0356] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A charging control method, characterized in that: The method is applied to a multi-mode intelligent charging system of a high-temperature energy storage power station, including: Get the type identification information of the battery; determining a target battery type of the battery based on the type identification information; Determining a charging strategy based on the target battery type; The high-temperature energy storage power station multi-mode intelligent charging system is controlled to charge the battery based on the charging strategy.

2. The method according to claim 1, characterized in that The multi-mode intelligent charging system for a high-temperature energy storage power station includes a battery adapter interface for connecting to the battery. The battery is encapsulated with a type identification chip for establishing a communication protocol with the battery adapter interface. The type identification information includes a communication protocol broadcast sent by the type identification chip. The step of determining the target battery type of the battery based on the type identification information includes: A target battery type for the battery is determined based on the communication protocol broadcast.

3. The method according to claim 1, characterized in that The type identification information includes an open circuit voltage value and internal resistance characteristic information of the battery, and the step of determining the target battery type of the battery based on the type identification information includes: A target battery type of the battery is determined based on the open circuit voltage value and the internal resistance characteristic information.

4. The method according to claim 1, wherein The type identification information includes a voltage response curve and a temperature change of the battery, and the step of determining a target battery type of the battery based on the type identification information includes: A target battery type of the battery is determined based on the voltage response curve and the temperature change.

5. The method according to claim 1, characterized in that The step of determining the charging strategy according to the target battery type includes: Determining a charging curve for the target battery type using the target battery type; the charging curve includes expected values ​​of current and voltage varying with time; Determining a target charging current and a target charging voltage using expected values ​​of the current and voltage varying with time; Obtaining real-time measurement of the actual charging current and actual battery voltage of the battery; Calculating a target output power using the target charging current and the target charging voltage; Calculating actual output power using the actual charging current and the actual battery voltage; A power comparison result is generated based on the target output power and the actual output power, and a charging strategy is constructed based on the power comparison result.

6. The method according to claim 5, characterized in that The multi-mode intelligent charging system of the high-temperature energy storage power station includes an ultra-high temperature fluidized bed energy storage and discharge device and a thermoelectric conversion module. The step of controlling the multi-mode intelligent charging system of the high-temperature energy storage power station to charge the battery based on the charging strategy includes: Based on the power comparison result, the heat energy transfer between the ultra-high temperature fluidized bed energy storage and release device and the thermoelectric conversion module is adjusted to control the actual output electric power of the thermoelectric conversion module to approach the target output power.

7. The method according to claim 6, characterized in that The actual charging current is the output current of the thermoelectric conversion module of the thermoelectric conversion module, and further includes: Determining the maximum continuous charging current or the maximum pulse charging current of the battery; When the output current of the thermoelectric conversion module is greater than the maximum continuous charging current or the maximum pulse charging current, the output current of the thermoelectric conversion module is reduced.

8. A charging control device, characterized in that: The method is applied to a multi-mode intelligent charging system of a high-temperature energy storage power station, including: A type identification information acquisition module is used to obtain the type identification information of the battery; a target battery type determining module, configured to determine a target battery type of the battery based on the type identification information; a charging strategy determination module, configured to determine a charging strategy based on the target battery type; A charging control module is used to control the high-temperature energy storage power station multi-mode intelligent charging system to charge the battery based on the charging strategy.

9. An electronic device, characterized in that: comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; The memory is used to store computer programs; The processor is configured to implement the method according to any one of claims 1 to 7 when executing a program stored in the memory.

10. A computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform the method according to any one of claims 1 to 7.

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