Hydrogen fuel supply method and apparatus based on user-driven configuration

Abstract

A hydrogen fuel supply method for a mobile device using hydrogen as fuel according to the present invention comprises the steps of: receiving a user input related to a hydrogen fuel supply target configuration; determining a target state of charge (SOC) for providing hydrogen to the mobile device based on the user input; and sequentially supplying hydrogen to the mobile device through the hydrogen fuel supply control for reaching the target SOC.

Description

Technical Field

[0001] The present invention relates to a control technology for hydrogen fuel supply / supply of a mobile device using hydrogen as fuel, and more particularly, to a hydrogen fuel supply process for improving the efficiency of hydrogen fuel supply / supply and enhancing the speed and real-time operability of hydrogen fuel supply / supply, as well as a test platform for the process. Background Art

[0002] The description in this section merely provides background information for embodiments of the present disclosure and is not intended to indicate prior art with respect to the present disclosure.

[0003] A hydrogen-fueled mobile device, hydrogen electric vehicle, or fuel cell electric vehicle (FCEV) refers to a vehicle that is powered by electricity generated by the reaction of high-pressure hydrogen stored in the vehicle with oxygen in the air and produces little pollution.

[0004] The concept of hydrogen-fueled mobile devices includes not only hydrogen electric vehicles and fuel cell electric vehicles that use a fuel cell system using hydrogen as an energy source, but also another type of mobile device that uses an internal combustion engine (ICE) to generate power and is driven by the power generated by the ICE using hydrogen as fuel.

[0005] As is known in the art, hydrogen electric vehicles not only emit pure water (H2O) vapor during power generation but also remove ultrafine dust from the air while driving, and are therefore attracting attention as future environmentally friendly mobility devices. Since the fuel (i.e., hydrogen) is abundant on Earth and the energy production process is environmentally friendly, hydrogen electric vehicles are attracting attention as a technology with potential application in industry.

[0006] Hydrogen electric vehicles generate electricity by supplying high-pressure hydrogen safely stored in hydrogen fuel tanks and oxygen introduced through an air supply system to a fuel cell stack, causing an electrochemical reaction between the hydrogen and oxygen. The electricity generated in the fuel cell stack is converted into kinetic energy by an electric motor to drive the hydrogen electric vehicle, and the operating hydrogen electric vehicle exhausts only pure water vapor through the exhaust port.

[0007] Similar to the engine in an internal combustion engine vehicle, a fuel cell system provides power to the vehicle. A fuel cell, also referred to as a "three-stage cell," is a unit that generates the electrical energy required to drive a hydrogen electric vehicle. A fuel cell converts chemical energy into electrical energy through an electrochemical reaction between hydrogen and oxygen. The electrical energy generated by these reactions is a pure chemical reaction and does not produce any exhaust gases such as carbon dioxide like fossil fuels. Fuel cells are typically classified by the type of fuel or electrolyte. Leading fuel cell technologies may include proton exchange membrane fuel cells (PEMFC), solid oxide fuel cells (SOFC), and molten carbonate fuel cells (MCFC). Components for generating electricity using the fuel cell in a hydrogen electric vehicle include a fuel cell stack, a hydrogen supply system, an air supply system, and a thermal management system.

[0008] Efficiently generating electricity in a fuel cell stack requires the assistance of an operating mechanism. Among several components within this operating mechanism, the hydrogen supply system serves to change the pressure of hydrogen safely stored in hydrogen fuel storage tanks from high pressure to low pressure before delivering it to the fuel cell stack. Furthermore, the hydrogen supply system can increase hydrogen supply efficiency by recirculating it through a recirculation line.

[0009] The thermal management system can release heat generated when the fuel cell stack undergoes an electrochemical reaction to the outside and circulate cooling water to maintain the temperature of the fuel cell stack within a specific range. The thermal management system can affect the output and life of the fuel cell stack.

[0010] In addition to hydrogen-electric vehicles, hydrogen-fueled vehicles also use hydrogen as fuel. These hydrogen-fueled vehicles are powered by electric motors that rotate using the heat generated by the direct combustion of hydrogen in the engine. The method used to fuel hydrogen-fueled vehicles is not significantly different from the method used to fuel hydrogen-electric vehicles.

[0011] The control protocol for hydrogen fueling or supplying hydrogen to a mobile device that provides hydrogen fueling is intended to control the hydrogen fueling / supply so that the temperature (T) and pressure (P) of the compressed hydrogen storage system (CHSS) on the fuel cell side are maintained below certain temperature and pressure limits to ensure safety.

[0012] The hydrogen fuel supply / supply process, control protocol and its protocols in conventional hydrogen electric vehicles were specified before wired / wireless communication or computing technology for control became mature, and therefore do not utilize the latest information and communication technology (ICT) to their full extent. Summary of the Invention

[0013] Technical issues

[0014] In order to solve the above-mentioned problem, the present invention may provide a function of setting a fuel filling amount in response to a user's request.

[0015] The present invention may provide procedures and protocols for supporting user-initiated fueling level setting functionality.

[0016] The present invention may provide a method for determining an appropriate fuel supply amount according to environmental circumstances and conditions during fuel supply and for fueling / supplying hydrogen.

[0017] The present invention may provide a protocol for bidirectional communication that supports a user-initiated fuel supply amount setting function and a hydrogen fuel supply / supply process.

[0018] Technical Solution

[0019] According to one aspect of an exemplary embodiment, the present disclosure provides a method for supplying hydrogen to a hydrogen-fueled mobile device based on user-driven settings. The method may include: receiving user input related to setting a hydrogen fuel supply target; determining a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and enabling / controlling the hydrogen-fueled mobile device to be supplied with hydrogen according to a hydrogen fuel supply control sequence for achieving the target SOC.

[0020] The user input may include a target SOC for supplying hydrogen to the hydrogen-fueled mobile device.

[0021] When determining the target SOC, the target SOC may be determined based on one or more of the current SOC of the hydrogen-fueled mobile device and / or fuel supply-related condition information of the hydrogen-fueled mobile device input by a user.

[0022] The method may also include: obtaining or receiving progress data of a hydrogen fuel supply process for a hydrogen-fueled mobile device from an initial SOC to a target SOC; and transmitting the progress data of the hydrogen-fueled mobile device to a dispenser or fuel supply control system that supplies hydrogen to the hydrogen-fueled mobile device, so that the progress data of the hydrogen-fueled mobile device can be monitored.

[0023] The operation of enabling / controlling the hydrogen-fueled mobile device to be supplied with hydrogen to reach the target SOC according to the hydrogen fuel supply control sequence may include an operation of generating a hydrogen fuel supply control request with respect to at least one intermediate SOC between the initial SOC and the target SOC.

[0024] According to another aspect of an exemplary embodiment, a method for supplying hydrogen fuel to a hydrogen-fueled mobile device based on user-driven settings may include: receiving user input related to setting a hydrogen fuel supply target; determining a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and providing a hydrogen fuel supply control sequence for achieving the target SOC.

[0025] The user input may include a target SOC for supplying hydrogen to the hydrogen-fueled mobile device.

[0026] When determining the target SOC, the target SOC may be determined based on one or more of the current SOC of the hydrogen-fueled mobile device and / or fuel supply-related condition information of the hydrogen-fueled mobile device input by a user.

[0027] The operation of providing the hydrogen fuel supply control order for achieving the target SOC may include an operation of determining a target hydrogen fuel supply control order corresponding to the target SOC from a hydrogen fuel supply control order candidate group for achieving each target SOC.

[0028] Providing a hydrogen fuel supply control sequence for achieving a target SOC may include predicting a hydrogen fuel supply control sequence for achieving the target SOC based on previous hydrogen fuel supply data between a dispenser that provides hydrogen to the hydrogen-fueled mobile device and the hydrogen-fueled mobile device.

[0029] The operation of providing the hydrogen fuel supply control sequence for reaching the target SOC may include the operation of generating a hydrogen fuel supply control command for supplying with respect to at least one intermediate SOC between the initial SOC and the target SOC.

[0030] The operation of providing a hydrogen fuel supply control sequence for achieving a target SOC may be performed using an artificial neural network capable of receiving a first intermediate SOC of at least one intermediate SOC and predicting a hydrogen fuel supply control sequence for achieving a second intermediate SOC adjacent to the first intermediate SOC.

[0031] The artificial neural network may be configured to receive the first intermediate SOC as input and generate, through a model predictive control technique, a series of predicted future values ​​for a hydrogen fueling control sequence to achieve a second intermediate SOC.

[0032] Providing a hydrogen fuel supply control sequence for reaching the target SOC may include providing the hydrogen fuel supply control sequence based on field data including relationship data between hydrogen fuel supply control commands and changes in SOC during a process of reaching the target SOC from an initial SOC.

[0033] The method may further include: obtaining or receiving progress data of the hydrogen fuel supply process from an initial SOC to a target SOC from a dispenser through two-way communication during the hydrogen fuel supply process, wherein the hydrogen fuel supply process is for a mobile device that uses hydrogen as fuel, and the dispenser supplies hydrogen to the mobile device that uses hydrogen as fuel; and monitoring the hydrogen fuel supply process based on a comparison result of predicted data with the progress data from the initial SOC to the target SOC.

[0034] The method may further include identifying or determining whether the hydrogen-fueled mobile device can be supplied with hydrogen by communicating with the hydrogen-fueled mobile device.

[0035] The method may further include: acquiring or receiving a target SOC by communicating with a mobile device fueled by hydrogen; and providing the mobile device fueled by hydrogen with prediction data of a control sequence of the hydrogen fuel supply to achieve the target SOC.

[0036] Determining a target SOC for supplying hydrogen to a hydrogen-fueled mobile device may include, when user input includes a change in information related to setting a hydrogen supply target, determining an updated new target SOC based on the user input and / or the change in information.

[0037] The method may further include providing the hydrogen-fueled mobile device with prediction data for an updated hydrogen fuel supply control sequence for achieving a new target SOC through communication with the hydrogen-fueled mobile device.

[0038] According to one aspect of another exemplary embodiment, a hydrogen fuel supply device is arranged / installed on a mobile device that uses hydrogen as fuel to supply hydrogen fuel to the mobile device based on user-driven settings. The hydrogen fuel supply device may include: a memory that stores at least one program instruction; and a processor that executes the at least one program instruction.

[0039] When at least one program instruction is executed, the processor is caused to: receive user input related to setting a hydrogen fuel supply target; determine a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and enable / control the hydrogen-fueled mobile device to be supplied with hydrogen according to a hydrogen fuel supply control sequence for achieving the target SOC.

[0040] The user input may include a target SOC for supplying hydrogen to the hydrogen-fueled mobile device.

[0041] When at least one program instruction is executed, the processor may further determine a target SOC based on user input and one or more of a current SOC of the hydrogen-fueled mobile device and / or fuel supply-related information of the hydrogen-fueled mobile device.

[0042] The processor may be further caused to obtain or receive progress data for a hydrogen fueling process of the hydrogen fueled mobile device from an initial SOC to a target SOC.

[0043] The processor may be further caused to transmit progress data of the hydrogen-fueled mobile device to a dispenser or fuel supply control system that supplies hydrogen to the hydrogen-fueled mobile device so that the progress data of the hydrogen-fueled mobile device may be monitored.

[0044] The processor may be further caused to generate a hydrogen fuel supply control request with respect to at least one intermediate SOC between the initial SOC and the target SOC.

[0045] According to an aspect of another exemplary embodiment, a dispenser for supplying hydrogen to a hydrogen-fueled mobile device based on a user-driven setting may include a memory storing at least one program instruction and a processor executing the at least one program instruction.

[0046] When at least one program instruction is executed, the processor is caused to: receive user input related to setting a hydrogen fuel supply target; determine a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and provide a hydrogen fuel supply control sequence for achieving the target SOC.

[0047] The processor may be further caused to acquire or receive progress data of the hydrogen fueling process for the hydrogen fueling mobile device from a dispenser that supplies hydrogen to the hydrogen fueling mobile device through bidirectional communication from an initial SOC to a target SOC during the hydrogen fueling process.

[0048] The processor may also be caused to monitor the hydrogen fueling process based on a comparison between the predicted data and the progress data from the initial SOC to the target SOC.

[0049] According to aspects of another exemplary embodiment, a method for identifying / determining a first hydrogen fuel supply protocol for supplying hydrogen fuel to a hydrogen-fueled mobile device based on user-driven settings may include: using communication between the dispenser and the hydrogen-fueled mobile device to identify or determine a fuel supply protocol supported between a dispenser that supplies hydrogen to the hydrogen-fueled mobile device and the hydrogen-fueled mobile device; and determining whether the first fuel supply protocol supports a function or interface that allows a user to set a target state of charge (SOC) for supplying hydrogen fuel to the hydrogen-fueled mobile device.

[0050] According to another aspect of another exemplary embodiment, a method for negotiating a hydrogen fuel supply protocol for supplying hydrogen fuel to a hydrogen-fueled mobile device based on a user-driven setting may include: identifying or determining at least one fuel supply protocol supported by a dispenser, which supplies hydrogen to the hydrogen-fueled mobile device and the hydrogen-fueled mobile device using communication between the dispenser and the hydrogen-fueled mobile device; and selecting or determining a fuel supply protocol that supports the following functions or interfaces: allowing a user to set the target state of charge (SOC) for supplying hydrogen fuel to the hydrogen-fueled mobile device among the at least one fuel supply protocol as a preferred fuel supply protocol, and negotiating the preferred fuel supply protocol through communication between the dispenser and the hydrogen-fueled mobile device.

[0051] Beneficial effects

[0052] According to an exemplary embodiment of the present invention, a fuel supply amount setting function may be provided in response to a user's request.

[0053] According to exemplary embodiments of the present invention, a process and protocol for supporting a user-initiated fuel supply quantity setting function can be provided.

[0054] According to exemplary embodiments of the present invention, it is possible to provide a method for fuel supply / supplying hydrogen that determines an appropriate fuel supply amount according to environmental circumstances and conditions during fuel supply.

[0055] According to an exemplary embodiment of the present invention, it is possible to provide a protocol for bidirectional communication that supports a fuel supply amount setting function initiated by a user and a hydrogen fuel supply / supply process. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 is a conceptual diagram illustrating an embodiment of a hydrogen fuel supply process for a mobile device or vehicle using hydrogen as fuel to which an exemplary embodiment of the present invention is applied;

[0057] Figure 2 is a conceptual diagram illustrating an embodiment of state changes occurring during a hydrogen fuel supply process of a mobile device or vehicle using hydrogen as fuel to which an exemplary embodiment of the present invention is applied;

[0058] Figure 3 is a conceptual diagram illustrating a platform or a test platform for a hydrogen fuel supply process according to an exemplary embodiment of the present invention;

[0059] Figure 4 yes Figure 3 A detailed block diagram of the distributor subsystem shown in ;

[0060] Figure 5 is a conceptual diagram illustrating a platform or a test platform for a hydrogen fuel supply process according to an exemplary embodiment of the present invention;

[0061] Figure 6 is a conceptual diagram of a platform or a test platform for a hydrogen fuel supply process according to another exemplary embodiment of the present invention;

[0062] Figure 7 is a flow chart illustrating a method for supplying hydrogen fuel based on user-driven settings according to an exemplary embodiment of the present disclosure;

[0063] Figure 8 is a conceptual diagram illustrating various embodiments of a hydrogen fuel supply process based on user-driven fuel supply amount setting;

[0064] Figure 9 is a conceptual diagram illustrating various embodiments of a process and control method for hydrogen fuel supply based on user-driven fuel supply amount setting;

[0065] Figure 10 is a conceptual diagram illustrating an example of an artificial neural network for controlling a hydrogen fuel supply process of a hydrogen fuel supply mobile device according to an exemplary embodiment of the present disclosure;

[0066] Figure 11 is a conceptual diagram illustrating the concept of model predictive control for a hydrogen fuel supply process for a mobile device fueled by hydrogen according to an exemplary embodiment of the present disclosure;

[0067] Figure 12 is a flow chart illustrating a process of training an artificial neural network for hydrogen fuel supply control according to an exemplary embodiment of the present disclosure;

[0068] Figure 13 is a conceptual diagram illustrating a bidirectional communication protocol for a hydrogen fuel supply process based on user-driven settings according to an exemplary embodiment of the present disclosure;

[0069] Figure 14 is a conceptual diagram illustrating a communication protocol and operation of a hydrogen fuel supply process based on user-driven settings according to an exemplary embodiment of the present disclosure; and

[0070] Figure 15 It shows that it can be executed Figures 1 to 14 A block diagram of a general configuration of a hydrogen fuel supply control device, a hydrogen fuel supply control system, a hydrogen fuel supply test platform, a hydrogen fuel supply test system, or a computing system for at least a portion of a process. DETAILED DESCRIPTION

[0071] In order to more clearly understand the features and advantages of the present invention, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, it should be understood that the present disclosure is not limited to the specific embodiments disclosed herein, but includes all modifications, equivalents, and alternatives that fall within the spirit and scope of the present disclosure. In the accompanying drawings, similar or corresponding parts may be represented by the same or similar reference numerals.

[0072] Terms including ordinal numbers (such as "first" and "second") designated for explaining various components in this specification are used to distinguish components from other components, but are not intended to be limited to specific components. For example, a second component may be referred to as a first component, and similarly, a first component may be referred to as a second component without departing from the scope of this disclosure. As used herein, the term "and / or" may include the presence of one or more associated listed items and any and all combinations of the listed items.

[0073] In the description of the exemplary embodiments of the present disclosure, “at least one of A and B” may mean “at least one of A or B” or “at least one of a combination of one or more of A and B.” Furthermore, in the description of the exemplary embodiments of the present disclosure, “one or more of A and B” may mean “one or more of A or B” or “a combination of one or more of A and B.”

[0074] When a component is referred to as being "connected" or "coupled" to another component, the component can be directly logically or physically connected or coupled to the other component or indirectly connected through an intervening object. In contrast, when a component is referred to as being "directly connected" or "directly coupled" to another component, it should be understood that there are no intervening objects between the components. Other words used to describe relationships between elements should be interpreted in a similar manner.

[0075] These terms are used herein only for the purpose of describing specific exemplary embodiments and are not intended to limit the present disclosure. Unless the context clearly dictates otherwise, singular forms also include plural referents. Furthermore, the expressions "comprise," "include," "constructed," and "configured" are used to indicate the presence of the recited features, quantities, processing steps, operations, elements, or combinations of parts, but are not intended to exclude the presence or addition of other features, quantities, processing steps, operations, elements, or parts.

[0076] Unless otherwise defined, all terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present disclosure belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant literature and should not be interpreted as having an ideal or overly formal meaning unless explicitly defined in this application.

[0077] The terms used in this disclosure are defined as follows.

[0078] Mobile devices using hydrogen as fuel generally include not only hydrogen electric vehicles or hydrogen fuel cell electric vehicles (FCEVs) using a fuel cell, but also internal combustion engine (ICE) based vehicles using hydrogen as fuel.

[0079] The hydrogen fluid fuel may include gaseous hydrogen fuel or liquid hydrogen fuel.

[0080] “Compressed Hydrogen Storage System (CHSS)”: A device that compresses and stores hydrogen as part of a vehicle’s fuel cell.

[0081] “Pressure Release Device (PRD)”: a device disposed in a CHSS and capable of isolating stored hydrogen from other parts of the fuel supply system and the environment and discharging the hydrogen to the outside.

[0082] “Hydrogen fuel supply process”: A process in which high-pressure hydrogen is supplied from a hydrogen fuel supply station to a fuel cell and the hydrogen is accumulated in a hydrogen tank.

[0083] "Pressure Ramp Rate (PRR)": the rate of increase of CHSS pressure and is measured in megapascals per minute (MPa / min).

[0084] “Average Pressure Ramp Rate (APRR)”: the average value of the pressure increase rate from the start to the end of hydrogen fuel supply.

[0085] “Pre-cooling”: The process of cooling hydrogen in a hydrogen fueling station before supplying the fuel.

[0086] “Distributor”: A component that supplies pre-cooled hydrogen to the CHSS.

[0087] “Nozzle”: A device that is connected to the hydrogen dispensing system of a hydrogen fueling station and that can be coupled to a receiver of a hydrogen electric vehicle and supply hydrogen fuel to the hydrogen electric vehicle.

[0088] At the same time, if necessary, one or more conventional components may be included in the configuration of the present disclosure, and such components will be described herein to the extent that the technical concepts and ideas of the present disclosure are not obscured. However, if the description of conventional components may obscure the technical concepts and ideas of the present disclosure, a detailed description of such components may be omitted for simplicity. For example, the use of thermodynamic models for hydrogen fuel supply control, the application of model predictive control for generalized dynamic control, and the preparation and control of artificial neural networks for training and inference of artificial neural networks can be implemented using conventional techniques, and at least some of these conventional components can be used as elements required to implement the present disclosure.

[0089] However, the present disclosure is not intended to claim conventional components, and conventional components may be included as elements of the apparatus or method of the present disclosure without departing from the concept or spirit of the present disclosure.

[0090] Exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings.

[0091] Figure 1 is a conceptual diagram illustrating an example of a hydrogen fuel supply process for a mobile device or vehicle using hydrogen as fuel to which an exemplary embodiment of the present invention is applied.

[0092] See also Figure 1 The pre-cooled hydrogen is supplied from the hydrogen fuel supply station 200 to the mobile device 300 fueled by hydrogen through the dispenser 100. The hydrogen fuel supply process can be described by parameters including the average pressure ramp rate (ARPR).

[0093] Typically, a hydrogen storage system installed in a vehicle may include a high-pressure hydrogen storage tank, a pressure control device, high-pressure piping, and an external frame. High-pressure hydrogen storage tanks have been developed and commercialized with capacities ranging from tens to hundreds of liters, and in the case of vehicles, small and lightweight storage tanks connected in parallel are used to ensure high capacity.

[0094] The high-pressure hydrogen storage tank is broadly referred to as a compressed hydrogen storage system (CHSS) 310. For ease of description, the term "storage tank" is used herein to refer to the CHSS 310.

[0095] In a typical hydrogen storage system, hydrogen storage is controlled by allowing hydrogen to flow into and out of an access port of the storage tank 310. Considering the characteristic that hydrogen injection and discharge do not occur simultaneously, a valve, a pressure reducing mechanism, and various sensors for measurement are attached to the access port, and the hydrogen storage is controlled by such devices.

[0096] The dispenser 100 is responsible for the interface between the hydrogen fuel supply station 200 and the hydrogen-fueled mobile device 300. The dispenser 100 can control the target pressure, injection rate, and other functions based on information about the storage tank 310 of the hydrogen-fueled mobile device 300 and information about the fuel supply of the hydrogen fuel supply station 200. Currently available control logic may comply with the SAE J2601 (2020-05) standard.

[0097] Conventionally, information is transmitted from the hydrogen-fueled mobile device 300 to the dispenser 100 using either a communication method or a non-communication method. Even when a communication method is conventionally employed, the temperature and pressure values ​​of the storage tank 310 in the hydrogen-fueled mobile device 300 are simply transmitted unidirectionally from the hydrogen-fueled mobile device 300 to the dispenser 100, and the dispenser 100 uses this information only as a safety reference for emergency stopping due to temperature or pressure limits, rather than actively utilizing this information.

[0098] All fuel supply control logic for safe and fast fuel supply is completed in the dispenser 100 , and the storage tank 310 is not equipped with any active safety management protocol, but only has a safety management device that automatically releases hydrogen through the pressure relief device (PRD) 320 .

[0099] The hydrogen fuel supply station 200 may include a high pressure hydrogen storage unit 220 and a pre-cooler 210 in order to respond to the increase in temperature of the hydrogen during the hydrogen fuel supply process, which will be described below. Figure 2 The precooler 210 reduces the temperature of the hydrogen gas by precooling, so that the precooled hydrogen gas is supplied to the mobile device 300 using hydrogen gas as fuel via the distributor 100 .

[0100] According to an exemplary embodiment of the present invention, the mechanical configuration of the apparatus for hydrogen fuel supply may be substantially similar to that of a conventional apparatus, but the fuel supply control logic 110 in the dispenser 100 may actively control the hydrogen fuel supply process based on status information (such as temperature and pressure data received from the hydrogen-fueled mobile device 300 and the hydrogen fuel supply station 200) and fuel supply status information (such as the fuel supply rate or state of charge (SOC) of the CHS 310).

[0101] According to an exemplary embodiment of the present invention, the fuel supply rate can be controlled in real time based on the real-time temperature data from the storage tank 310, so that the hydrogen fuel supply process can operate at the highest fuel supply rate while meeting the safety limit and the fuel supply time can be shortened as much as possible.

[0102] According to conventional fuel supply protocols, boundary conditions for safety are set too strictly, so that pre-cooling is excessive to the extent that the temperature of the storage tank 310 is measured to be approximately 40-50° C. upon completion of fuel supply.

[0103] According to an exemplary embodiment of the present invention, pre-cooling demand and supply are actively adjusted to optimize the cooling load of the hydrogen fuel supply station 200 and improve the operating efficiency of the hydrogen fuel supply station 200 .

[0104] Conventional protocols set up for light-duty hydrogen electric vehicles have the following problem: all variables must be reset and reflected in the standard in order to be applied to the fuel supply of new mobile devices.

[0105] The fuel supply control logic according to an exemplary embodiment of the present disclosure is based on an artificial neural network and can be updated through a learning or training process when it is applied to a new device, and such a control protocol can be widely applied to various mobile devices.

[0106] The only way to prevent overheating of the storage tank 310 of the hydrogen-fueled mobile device 300 in conventional systems may be to release the gas through the PRD 320 when the storage tank or the gas overheats beyond a certain temperature.

[0107] According to an exemplary embodiment of the present invention, a cooling system 330 to be described below may be provided in the storage tank 310 itself to increase the fuel supply speed and actively respond to overheating of the storage tank 310. Thus, the safety of the mobile device 300 using hydrogen as fuel may be improved.

[0108] Exemplary embodiments of the present invention allow for improved efficiency of a hydrogen fueling / supply process and increased speed and real-time operability of a hydrogen fueling / supply process while ensuring safety in the fueling / supply of hydrogen fuel.

[0109] Exemplary embodiments of the present invention may provide a hydrogen fuel supply control protocol based on model predictive control (MPC) that ensures real-time operability.

[0110] Exemplary embodiments of the present disclosure may provide a control protocol based on an artificial neural network (ANN) model with improved accuracy in predicting hydrogen fuel supply outcomes. By applying real-time measurement data to an ANN model that uses actual fuel supply data and theoretical simulation results, the accuracy of predicting hydrogen fuel supply outcomes can be improved.

[0111] Exemplary embodiments of the present invention may improve the efficiency of hydrogen fuel supply control by integrally managing actual measurement data and status information predicted by a model using an intelligent meta-system (IMS).

[0112] As described above, the conventional hydrogen fuel supply process between the hydrogen-fueled mobile device 300 and the hydrogen fuel supply station 200 is controlled by the dispenser 100. The dispenser 100 is equipped with a protocol for supplying hydrogen to the hydrogen-fueled mobile device 300 according to a predetermined rule.

[0113] The protocol installed on the dispenser 100 may be based on the international standard SAE J2601 (2020-05), which may be similarly applied to the embodiments of the present disclosure to the extent that it meets the objectives of the present disclosure.

[0114] For certain minimum requirements for safety, simulations based on thermodynamic modeling for different situations can be performed, and the parameters derived from the simulations can be used to perform table-based static control or partial real-time corrections based on MC formulas.

[0115] Minimum requirements for safety may include guidelines for the temperature and pressure of the CHSS 310 and upper limits of the fuel supply rate (SOC).

[0116] The simulations may be performed by using thermodynamic modeling including best and worst case boundary conditions.

[0117] Such a configuration can also be applied similarly to the embodiments of the present disclosure to the extent that the objects of the present disclosure are satisfied.

[0118] Even when using Figure 1 The following problems may also occur in conventional systems when these state variables are not actively controlled by the dispenser 100. These problems can also be revealed in systems that rely on simulations using simple thermodynamic models.

[0119] Because the injection rate is predetermined under the assumption of worst-case (i.e., excessive) boundary conditions, unnecessary over-precooling may occur and the overall fuel supply rate may be reduced. In this conventional case, the injection rate is simply determined by the average pressure ramp rate (ARPR), which can hinder proactive response to changing conditions. Unnecessary over-precooling may lead to excessive energy consumption and increased operating costs.

[0120] As described above, conventional methods have limitations in application. Specifically, reliance on simulation-based results may limit the capacity or shape of storage tank 310 that can actually be applied to a vehicle. In the case of a new system, separate resources may be required for system development and application.

[0121] Because thermodynamic models require significant time to derive mathematical equations, it is common to indirectly utilize variables derived from the model. Consequently, without pre-calculated variables, the model's application is limited. Furthermore, thermodynamic models can lack flexibility, making detailed adjustments to the model difficult.

[0122] The conventional table-based approach does not utilize the temperature of the pre-cooled hydrogen provided by the hydrogen fueling station 200 or the temperature of the storage tank 310 measured by the hydrogen-fueled mobile device 300 , and thus may result in very low efficiency and difficulty in flexibly handling any changes in ambient conditions.

[0123] Although the existing method based on the MC formula can correct the pre-cooling temperature in real time, the calculation and application of this method are complex and have limitations, making it difficult to expand its application.

[0124] Therefore, there may be few alternative protocols to develop that have the primary goal of achieving safe fuel supply and can proactively control unexpected situations, such as excessive pre-cooling or overheating of storage tank 310. These problems can result in increased operating costs due to overcooling and delays in fuel supply due to overheating.

[0125] In order to solve the above-mentioned problems, the present disclosure is characterized by reducing dependence on simulation and actively controlling state variables by reflecting real-time measurement data.

[0126] Figure 2 is a conceptual diagram illustrating an example of state changes occurring during a hydrogen fuel supply process of a hydrogen-fueled mobile device 300 to which an exemplary embodiment of the present invention is applied.

[0127] Reference Figure 2 , when hydrogen is injected into the storage tank 310 , the internal temperature of the gaseous hydrogen within the storage tank 310 increases due to compression heat.

[0128] Temperature control of the hydrogen fuel supply process may be performed such that the internal temperature of the storage tank 310 may be maintained below 85° C. upon completion of the supply of the pre-cooled hydrogen.

[0129] In the storage tank 310 , the dome and the body may be enclosed by carbon fibers having low heat transfer efficiency so as to block heat exchange between the gaseous hydrogen stored in the storage tank 310 and the external atmosphere during driving of the mobile device.

[0130] During the fuel supply process, when the temperature of the gaseous hydrogen in the storage tank 310 rises, the surface temperature rise of the storage tank 310 is smaller than the internal temperature rise until the fuel supply is completed due to the low heat conductivity of the storage tank 310 .

[0131] Such properties may prevent heat exchange with the outside air, which may mitigate rapid temperature increases within the storage tank 310 during refueling, potentially requiring separate temperature management protocols.

[0132] However, the conventional system does not include a cooling mechanism other than receiving pre-cooled hydrogen from the hydrogen fuel supply station 200 .

[0133] Although the hydrogen fuel supply time can be managed by pre-cooling and controlling the hydrogen fuel supply rate at the hydrogen fuel supply station 200 so as to maintain the temperature of the hydrogen storage tank 310 below an upper limit (e.g., 85° C.), there is no additional separate measure to manage the temperature of the hydrogen storage tank 310 of the mobile device 300 that uses hydrogen as fuel.

[0134] As a result, it is difficult to control the temperature of the hydrogen storage tank 310 during fuel supply in the hydrogen fuel supply station 200 , especially in the summer when the outside temperature is high, which may cause problems such as delay in refueling.

[0135] According to an exemplary embodiment of the present invention, the fuel supply process is based on Figure 2 The basic model represented by the characteristic curve is controlled, and optimal control conditions suitable for the actual environment can be derived. In particular, the control of the operating load of the hydrogen fuel supply station 200 during the pre-cooling phase of Phase I and the fuel supply rate, that is, the pressure rise rate (PRR) during the fuel supply process from Phase II to Phase IV can be optimized by taking into account real-time data based on variables such as external temperature, atmospheric pressure, and weather conditions. These variables can be measured in the actual surrounding environment differently from conventional methods.

[0136] Figure 3 : is a conceptual diagram showing a platform or a test platform for a hydrogen fuel supply process according to an exemplary embodiment of the present invention. Figure 3 The platform of the exemplary embodiment shown may include a mobile device subsystem 300, a fuel supply station subsystem 200, and a dispenser subsystem 100, all of which may be simulation models. Figure 3The illustrated embodiment is based on a simulation model, but the present invention is not limited thereto, and the mobile device subsystem 300, the fuel supply station subsystem 200, or the dispenser subsystem 100 may be implemented by merging, combining, or selectively selecting a simulation model and / or a data-based model based on real-time field dynamic data.

[0137] Figure 4 yes Figure 3 A detailed block diagram of the dispenser subsystem 100 is shown in FIG.

[0138] See together Figure 3 and Figure 4 When the target pre-cooling temperature is provided to the fuel supply station subsystem 200 as a control request and / or feedback control of the dispenser subsystem 100, the pre-cooling temperature data T pre and pre-cooling pressure P pre The pre-cooling temperature data T can be outputted from the fuel supply station subsystem 200 to the dispenser subsystem 100 and transmitted to the artificial neural network model 120. pre and pre-cooling pressure P pre It is obtained through simulation reflecting the pre-cooler 210 or through measurement of actual field data.

[0139] Furthermore, when a CHSS temperature reduction signal for reducing the temperature of the CHSS (310) is provided to the mobile device subsystem 300 as a control request of the distributor subsystem 100, the gas temperature data T obtained by simulation reflecting the cooler 330 or by measurement of actual field data is gas and gas pressure P gas The temperature drop signal may be output by the mobile device subsystem 300 and transmitted to the artificial neural network model 120. At this time, the temperature drop signal may be regarded as a type of cooling load (CL) in the mobile device subsystem 300.

[0140] See also Figure 4 In the dispenser subsystem 100, the prediction results inferred and output by the artificial neural network model 120 may be transmitted to the monitoring subsystem 130. The monitoring subsystem 130 may provide the target pre-cooling temperature to the fuel supply station subsystem 200 as a control request and / or feedback control, or may provide the CHSS temperature reduction signal to the mobile device subsystem 300 as a control request.

[0141] Figure 4 The monitoring subsystem 130 shown in FIG can be used as a controller to control the hydrogen fuel supply test process. Figure 4For ease of description, the monitoring subsystem 130 is shown as if it is a separate hardware or software module installed on the dispenser system 100, but in alternative embodiments of the present disclosure, the monitoring subsystem 130 can be implemented in the cloud and / or in the form of a remote server.

[0142] In addition, despite Figure 4 The illustrated embodiment is based on the artificial neural network model 120, but the present disclosure is not limited to the artificial neural network model 120 or the model predictive control technology. In another exemplary embodiment of the present invention, after real-time field data is fed back to the dispenser subsystem 100 in response to information and / or feedback control related to hydrogen fuel supply control, the information and / or feedback control related to hydrogen fuel supply control can be updated, or the next information and / or feedback control related to hydrogen fuel supply control can be generated based on the real-time field data. Another exemplary embodiment of the present disclosure can provide a hydrogen fuel supply protocol that does not rely on the artificial neural network model 120 or model predictive control, as well as a test method and test platform for testing a hydrogen fuel supply system.

[0143] The fuel supply station 200 may be equipped with a plurality of hydrogen storage cylinders, each hydrogen storage cylinder serving as a group of reservoirs of the storage reservoir system. The real-time field data fed back to the dispenser 100 by the fuel supply station 200 may include temperature and pressure data of each reservoir.

[0144] The plurality of banks can be selectively connected to the dispenser 100 according to a request from the dispenser 100 and / or a selection of the fuel supply station 200. At this time, the temperature and pressure information of each bank included in the real-time field information received by the dispenser 100 from the fuel supply station 200 can affect the selection and / or switching of these banks.

[0145] At least one reservoir in the storage reservoir system may change its state based on the temperature and pressure information of each reservoir included in the real-time field information received by the dispenser 100 from the fuel supply station 200 .

[0146] For example, as a preparatory step, the temperature and pressure of one or more reservoirs in fuel supply station 200 can be adjusted to corresponding levels suitable for fuel supply based on the current state information of the reservoir. This adjustment can be performed in response to a request from dispenser 100 or under the control of the control logic of fuel supply station 200.

[0147] Figure 5 is a conceptual diagram illustrating a platform or a test platform for a hydrogen fuel supply process according to an exemplary embodiment of the present invention.

[0148] See also Figure 5, the communication interface module-C 160 may be disposed between the dispenser subsystem 100 and the mobile device subsystem 300 to serve as a communication interface for facilitating bidirectional communication between the dispenser subsystem 100 and the mobile device subsystem 300. Furthermore, the communication interface module-B 150 may be disposed between the dispenser subsystem 100 and the fuel supply station subsystem 200 to serve as a communication interface for facilitating bidirectional communication between the dispenser subsystem 100 and the fuel supply station subsystem 200.

[0149] While fueling station subsystem 200 operates as a simulation model, mobile device subsystem 300 may operate as a modulation and optimization device for the temperature of CHSS 310 .

[0150] While the mobile device subsystem 300 operates as a simulation model, the fuel supply station subsystem 200 may operate as a stabilization and control device for the pre-cooling temperature.

[0151] Figure 6 is a conceptual diagram illustrating a platform or a test platform for a hydrogen fuel supply process according to another exemplary embodiment of the present invention.

[0152] See together Figure 5 and Figure 6 , Figure 6 The monitoring subsystem 130 shown in FIG. 1 may be used as a controller to control the hydrogen fuel supply test process.

[0153] The prediction results inferred and output by the artificial neural network model 120 can be transmitted to the monitoring subsystem 130. The monitoring subsystem 130 can transmit a control request regarding the status of the hydrogen gas in the vehicle tank of the hydrogen-fueled mobile device 300 via the communication interface module-C 160. The control request regarding the status of the hydrogen gas in the vehicle tank of the hydrogen-fueled mobile device 300 can be a request to reduce the temperature of the hydrogen gas in the vehicle tank. A temperature reduction request can also be provided as a temperature reduction signal.

[0154] Monitoring subsystem 130 may transmit a control request for the state of hydrogen gas supplied from fuel supply station 200 to dispenser 100 to fuel supply station 200 via communication interface module-B 150. The control request for the state of hydrogen gas supplied from fuel supply station 200 to dispenser 100 may be a pre-cooling request. The pre-cooling request may include a target pre-cooling temperature.

[0155] Monitoring subsystem 130 may transmit hydrogen fuel supply control-related information to hydrogen-fueled mobile device 300 via communication interface module-A 140, including information related to control commands / requests for a hydrogen fuel supply process in which hydrogen is supplied from fuel supply station 200 to a vehicle tank of hydrogen-fueled mobile device 300 via dispenser 100, and status information on dispenser 100 reflecting the results of executing the control commands / requests for the hydrogen fuel supply process on dispenser 100. The hydrogen fuel supply control-related information may include one or more of information related to a control command for a pressure ramp rate (PRR) for supplying hydrogen fuel to the vehicle tank and status information on dispenser 100 including the results of executing the control commands. Furthermore, the hydrogen fuel supply control-related information may include one or more information about variables that may affect changes in the hydrogen state in the vehicle fuel tank of the mobile device 300, such as a real-time PRR measured in kilograms per second (kg / s) and derived from a feedback control process, or a mass flow rate (m_dot) of compressed hydrogen, as well as information about the results of control performed using the variables. Such hydrogen fuel supply control-related information may also affect the weights or parameters of the hidden layers of the artificial neural network model 120.

[0156] For example, a thermodynamic model such as a hydrogen filling simulation (H2FillS) can be used for theoretical simulations. The thermodynamic model can include a model and / or software designed to track and report transient changes in one or more of hydrogen temperature, pressure, and / or mass flow rate and / or transient changes in the state of hydrogen in the vehicle tank as hydrogen is fueled into a hydrogen-fueled mobile device. However, the inventive concepts of the present disclosure are not limited to specific embodiments of the thermodynamic model.

[0157] The hydrogen filling protocol may include, for example, a fuel supply protocol defined in the SAE J2601 standard. However, the inventive concepts of the present disclosure are not limited to specific embodiments.

[0158] For example, when input data corresponding to the input data of the artificial neural network is applied, the thermodynamic model can generate output data based on modeling and simulation. In this case, the variables of the thermodynamic model can be adjusted according to the hydrogen fuel supply protocol. Furthermore, different hydrogen fuel supply protocols can generate different output data for the same input data.

[0159] In an exemplary embodiment of the present disclosure, field data collected by the test platform can be provided as input data and output data of an artificial neural network for training the artificial neural network, rather than input data and output data of a thermodynamic model. That is, some field data collected by the test platform can be provided as input data of the artificial neural network, while other field data can be provided as ground truth data corresponding to the output data of the artificial neural network.

[0160] The internal parameters of the artificial neural network can be trained without initialization. Alternatively, the internal parameters can be trained based on field data after being initialized to specific values. For example, the input data and output data (i.e., ground truth data) of the artificial neural network can be initialized based on a thermodynamic model, and the initialized input and output data can be used to initially train the internal parameters of the artificial neural network.

[0161] The training of artificial neural networks does not necessarily have to be performed via deep learning, but can use shallow learning instead.

[0162] A test platform according to an exemplary embodiment of the present disclosure may rely on dynamic field data to optimize the hydrogen fuel supply process.

[0163] According to an exemplary embodiment of the present disclosure, the next state can be predicted by model predictive control (MPC) technology based on an artificial neural network. In this case, the artificial neural network model can be trained using theoretical results, field data, or both.

[0164] In a case where the pre-cooling function of the cooling system 330 of the fuel supply station 200 or the mobile device 300 using hydrogen as fuel is unavailable, the module-A 140 may independently or actively perform the control process.

[0165] To analyze state changes in the process between dispenser 100 and fuel supply station 200, a training model based on field data between dispenser 100 and hydrogen-fueled mobile device 300 may be used as a reference for the process between dispenser 100 and hydrogen-fueled mobile device 300.

[0166] In contrast, to analyze state changes in the process between dispenser 100 and hydrogen-fueled mobile device 300, a training model based on field data between dispenser 100 and fuel supply station 200 may be used as a reference for the process between dispenser 100 and fuel supply station 200.

[0167] Standardized items or variables that can optimize and accurately describe the hydrogen fuel supply process can be derived by collecting big data associated with the type and individual ID of the dispenser 100, the type and individual ID of the fuel supply station 200, the type and individual ID of the hydrogen-fueled mobile device 300, the target control state of temperature, pressure, and / or SOC, the initial state of temperature and pressure, and the type of hydrogen fuel supply protocol, and by training the test platform using dynamic field data corresponding to various situations.

[0168] According to an exemplary embodiment of the present disclosure, a hydrogen fuel supply test system is a system for testing hydrogen fuel supply for a mobile device that uses hydrogen as fuel. The hydrogen fuel supply test system may include: a communication interface module-A 140 that sends hydrogen fuel supply control-related information that affects the state of hydrogen in a vehicle tank of the mobile device 300 that uses hydrogen as fuel to the mobile device 300 that uses hydrogen as fuel, and receives field data of changes in the state of hydrogen in the vehicle tank as feedback corresponding to the hydrogen fuel supply control-related information; and a monitoring subsystem 130 or a controller that updates a model of the hydrogen fuel supply process of the mobile device 300 that uses hydrogen as fuel, corresponding to the hydrogen fuel supply control-related information, based on the field data of changes in the state of hydrogen in the vehicle storage tank that corresponds to the hydrogen fuel supply control-related information.

[0169] The monitoring subsystem 130 may include a controller function. The term "controller" used herein may refer to a configuration corresponding to the function of the controller of the monitoring subsystem 130. The operation of the controller may refer to an operation performed by the function of the controller of the monitoring subsystem 130.

[0170] The monitoring subsystem 130 or the controller may obtain a difference between the simulation result of the hydrogen state change in the vehicle storage tank corresponding to the hydrogen fuel supply control related information and the field data of the hydrogen state change in the vehicle storage tank.

[0171] The monitoring subsystem 130 or the controller may update the model 120 of the hydrogen fuel supply process based on the difference between the simulation result and the field data, so as to correspond to the hydrogen fuel supply control related information for the mobile device using hydrogen as fuel.

[0172] The monitoring subsystem 130 or the controller may obtain simulation results of the state change of hydrogen in the mobile tank corresponding to the control request by using a thermodynamic model that tracks instantaneous changes in one or more of hydrogen temperature, pressure, and / or mass flow.

[0173] The monitoring subsystem 130 or the controller may apply possible future hydrogen fuel supply control requests to a model for the hydrogen fuel supply process to obtain simulation results of hydrogen state changes in the vehicle fuel tank corresponding to the hydrogen fuel supply control requests through model predictive control (MPC) technology.

[0174] The model 120 of the hydrogen fuel supply process corresponding to the hydrogen fuel supply control related information may be a model trained to predict changes in the hydrogen state in the vehicle tank based on the hydrogen fuel supply control related information related to the execution result of the hydrogen fuel supply control request and the hydrogen state in the vehicle tank.

[0175] Specifically, the model 120 for the hydrogen fuel supply process corresponding to the information related to hydrogen fuel supply control can be trained to predict future changes in the state of hydrogen in the vehicle tank based on the information related to hydrogen fuel supply control, the current state of hydrogen in the vehicle tank, the state of hydrogen supplied from the dispenser to the mobile device, and the ambient temperature.

[0176] The model 120 of the hydrogen fuel supply process corresponding to the hydrogen fuel supply control related information may be trained to predict changes in the hydrogen state in the vehicle tank based on the hydrogen fuel supply control related information and / or each target state of hydrogen in the vehicle tank for each hydrogen fuel supply protocol.

[0177] Model 120 may be an artificial neural network model. Monitoring subsystem 130 or a controller may be trained to predict changes in the hydrogen state in the vehicle tank based on hydrogen fuel supply control-related information and the hydrogen state in the vehicle tank, and to use field data on changes in the hydrogen state in the vehicle tank as ground truth data to update parameters of model 120.

[0178] Model 120 may be trained to predict changes in the state of hydrogen in a vehicle's fuel tank using model predictive control techniques.

[0179] After updating the model 120, the monitoring subsystem 130 or the controller may replace the hydrogen-fueled mobile device 300 side with the model 120 to obtain at least one of simulation data and field data for a change in state of hydrogen supplied from the fuel supply station 200 to the dispenser 100, corresponding to a second control request sent between the dispenser 100 supplying hydrogen fuel to the hydrogen-fueled mobile device 300 and the fuel supply station 200 supplying hydrogen fuel to the dispenser 100.

[0180] After updating the model 120, the monitoring subsystem 130 or the controller may replace one side of the fuel supply station 200 with the model 120 to obtain at least one of simulation data and field data of a state change of hydrogen in a vehicle tank of the hydrogen-fueled mobile device 300, corresponding to a third control request sent between the hydrogen-fueled mobile device 300 receiving hydrogen from the dispenser 100 and the dispenser 100.

[0181] The monitoring subsystem 130 or the controller can determine whether the mobile device 300 using hydrogen as fuel is capable of actively responding to hydrogen fuel supply control-related information or a control request for hydrogen state changes to control changes in the hydrogen state in the vehicle storage tank through the communication interface module-A 140. In this case, information regarding the communication protocol and control protocol supported by the mobile device 300 using hydrogen as fuel, as well as the communication protocol and control protocol supported by the dispenser 100, can be shared through communication between the mobile device 300 using hydrogen as fuel and the dispenser 100 and / or the fuel supply station 200, and the protocol generally supported by the mobile device 300 using hydrogen as fuel and the dispenser 100 can be selected as the communication protocol and control protocol.

[0182] The hydrogen fuel supply control request based on the hydrogen fuel supply protocol may include a control command for a pressure ramp rate (PRR) for supplying hydrogen fuel in a vehicle fuel tank.

[0183] The hydrogen fuel supply control-related information may include information about a hydrogen fuel supply control request, status information based on the execution result of the hydrogen fuel supply control request, or one or more of the two. The hydrogen state change control request may include a control request for one or more of the hydrogen temperature and pressure in the vehicle fuel tank.

[0184] Changes in the state of the hydrogen gas within the vehicle tank may include changes in one or more of temperature, pressure, and / or state of charge (SOC).

[0185] Conventional hydrogen fuel supply processes or hydrogen fuel supply control technologies may be disadvantageous because it is difficult to target and control the final SOC, nozzle temperature or pressure, and CHSS 310. Also, hydrogen fuel supply technologies based on theoretical simulations do not match actual field data due to pressure variations, unstable flow rates, and high environmental variations.

[0186] The difference between simulation results and actual field data can be due, at least in part, to the characteristics of the equipment and the diversity of the environment. Even when the same hydrogen fuel supply protocol is used, the final field data can differ depending on the initial values ​​or target values. Conversely, even when the same initial values ​​or target values ​​are assumed, the final field data can also differ depending on the hydrogen fuel supply protocol.

[0187] To solve the problems of conventional processes, exemplary embodiments of the present disclosure may employ utilization of real-time field data, two-way communication between each device, predictive control technology, integrated control of the entire system including fuel supply stations and hydrogen fuel supply mobile devices, or utilization and standardization of hydrogen fuel supply data based on user needs.

[0188] When the hydrogen fueling process is tested, the fueling protocol being tested may be embedded within the monitoring system 130 or may be external to the monitoring system 130 .

[0189] Furthermore, exemplary embodiments of the present disclosure may enable enhancement of existing hydrogen fueling protocols, standardization of the format of field fueling data, and compilation and diagnosis of dynamic field data.

[0190] With respect to enhancements to existing hydrogen fuel supply protocols, exemplary embodiments of the present invention may include the following.

[0191] An existing hydrogen fuel supply protocol can be selected as the protocol under testing.

[0192] Exemplary embodiments of the present disclosure may perform artificial neural network-based model predictive control (ANN-MPC), execute an existing hydrogen fuel supply protocol under the same fuel supply conditions, and compare the results of the fuel supply control of the ANN-MPC with the results of the fuel supply control of the existing hydrogen fuel supply protocol to enhance or improve the existing hydrogen fuel supply protocol.

[0193] The monitoring subsystem 130 may embed the protocol under test 131 to request fuel supply control based on the embedded protocol and compare the control value with the “predicted output” from the ANN-MPC.

[0194] The monitoring subsystem 130 or the controller may execute an existing hydrogen fuel supply protocol to transmit information related to hydrogen fuel supply control to the hydrogen-fueled mobile device 300 via the communication interface 140 or 160 , and obtain field data on changes in the hydrogen state in the vehicle storage tank via the communication interface 140 or 160 .

[0195] The monitoring subsystem 130 or the controller may obtain a hydrogen fuel supply control sequence from the model 120 for the hydrogen fuel supply process (in the case of using ANN-MPC technology, future time-sequential control sequence inputs may be predicted) and enhance an existing hydrogen fuel supply protocol based on the hydrogen fuel supply control sequence for the hydrogen fuel supply process provided by the model 120.

[0196] The monitoring subsystem 130 or the controller may obtain result data of the execution of the hydrogen fuel supply control sequence provided by the model for the hydrogen fuel supply process, and may at least partially enhance an existing hydrogen fuel supply protocol by using the hydrogen fuel supply control sequence based on a comparison between the result data of the execution of the hydrogen fuel supply control sequence and field data obtained through the existing hydrogen fuel supply protocol.

[0197] The fuel supply control result using the artificial neural network model 120 can be obtained by operating the model 120 or from a pre-built database. The basic specifications used in the fuel supply protocol 131 under test may not be changed, but the details (i.e., the fuel supply table or logic) may be enhanced or improved with reference to the fuel supply control values ​​of the artificial neural network model 120. At this time, the fuel supply control result using the artificial neural network model 120 can be compared with the field data obtained as the execution result of the tested fuel supply protocol 131 to partially improve the details of the tested fuel supply protocol 131 if the performance of the fuel supply control result using the artificial neural network model 120 is superior. The comparison between the supply control result and the execution result of the tested supply protocol 131 can also be performed on all or part of the hydrogen fuel supply process.

[0198] According to an exemplary embodiment of the present disclosure, a centralized thermodynamic model of an artificial neural network for distributor-vehicle interaction may be utilized, taking into account the following features:

[0199] -0-dimensional unstable state mass and energy balance

[0200] -1D heat transfer for vehicle tank walls

[0201] -CoolProp for evaluating hydrogen properties

[0202] Exemplary embodiments of the present disclosure may perform comparative analysis between theoretical simulation results and actual field data.

[0203] In addition to the conditions employed in the hydrogen fuel supply agreement, exemplary embodiments of the present disclosure may also perform predictive analysis under specific conditions.

[0204] Exemplary embodiments of the present invention may improve the reliability of the hydrogen fueling process by collecting and processing on-site hydrogen fueling data.

[0205] Field data on changes in the state of hydrogen in a vehicle tank may be first acquired by the mobile device. That is, the mobile device may acquire field data on changes in the state of hydrogen in the vehicle tank regardless of a control request that may be transmitted to the hydrogen-fueled mobile device. Alternatively, the control request may include a field data request, and the mobile device may acquire the field data in response to the control request including the field data request.

[0206] Except for mobile devices using hydrogen as fuel, field data collection may be performed by the fuel supply station. In this case, the fuel supply station may acquire field data regardless of the control request. Alternatively, the control request may include a field data request, and the fuel supply station may acquire field data on the status of hydrogen stored in the fuel supply station and / or hydrogen supplied from the fuel supply station to the dispenser in response to the control request including the field data request.

[0207] Field data may refer to data obtained from a fuel supply station and / or a mobile device during an actual hydrogen fuel supply / supply process. Here, the field data may include data obtained in an environment where some or all of the fuel supply station and the mobile device using hydrogen as fuel are a test environment, as well as data obtained in an actual fuel supply station and / or an actual mobile device.

[0208] The field data may include data obtained from a test environment or response (i.e., capable of feedback) device corresponding to the mobile device side using hydrogen as fuel, a test environment or response (i.e., capable of feedback) device corresponding to the dispenser side of the hydrogen storage cylinder and fuel supply station, and / or a test environment that may be equipped with a communication module-A corresponding to the dispenser control system side or may be composed of executable devices.

[0209] The field data may include data obtained from a test environment or a fuel supply site, wherein all devices belong to the three test environments or equipment mentioned above, or the devices include one or more of the three test environments or equipment.

[0210] For example, field data may include data obtained from a test environment or fuel supply site, including data related to Figure 5 A simulation model is shown in which communication module-B 150 and communication module-C 160 are associated.

[0211] A responsive (ie, feedback-capable) device may refer to a device that includes a database built based on actual field data and is capable of responding to situations requested through the communication module-A.

[0212] Field data may include and be categorized into static data (such as the type of vehicle tank, the volume of the vehicle tank, the number of vehicle tank modules or groups) and dynamic data (such as the temperature and pressure of the hydrogen gas in the vehicle tank).

[0213] Figure 7 is a flowchart illustrating a method of supplying hydrogen fuel based on user-driven settings according to an exemplary embodiment of the present disclosure.

[0214] refer to Figure 7 , a hydrogen fuel supply method based on user-driven setting according to an exemplary embodiment of the present disclosure is a method of supplying hydrogen fuel to a mobile device 300 that uses hydrogen as fuel, and may include: operation S410, receiving user input related to setting a hydrogen fuel supply target; operation S420, determining a target state of charge (SOC) for supplying hydrogen to the mobile device 300 that uses hydrogen as fuel based on the user input; and operation S430, being supplied with hydrogen according to a hydrogen supply control sequence for achieving the target SOC.

[0215] In the exemplary embodiment of the present disclosure, it can be assumed that the mobile device 300 using hydrogen as fuel is executed. Figure 7 In this case, the hydrogen-fueled mobile device 300 side can be understood to refer to at least one of a controller (e.g., an ECU or a vehicle MCU) in the hydrogen-fueled mobile device 300, an electric vehicle communication controller (EVCC) in the hydrogen-fueled mobile device 300, or a controller of a fuel supply system in the hydrogen-fueled mobile device 300.

[0216] In an exemplary embodiment of the present disclosure, the user input may include a target SOC for the hydrogen-fueled mobile device. For example, the driver may directly determine the SOC through an interface of the hydrogen-fueled mobile device 300 or a driver application.

[0217] In operation S420 of determining the target SOC, the target SOC may be determined based on one or more of the current SOC of the hydrogen-fueled mobile device 300 and fuel-related condition information of the hydrogen-fueled mobile device 300 according to user input. For example, the mobile device 300, rather than the dispenser 100 or the monitoring system 130, may determine the final target SOC based on the SOC or the user's desired fuel supply amount.

[0218] The hydrogen fuel supply method based on user-driven settings according to an exemplary embodiment of the present disclosure may further include: an operation of acquiring progress data 300 of a hydrogen fuel supply process from an initial SOC to a target SOC of a mobile device using hydrogen as fuel; and an operation of transmitting the progress data of the mobile device using hydrogen as fuel 300 to a dispenser 100 or a fuel control system 130 that supplies hydrogen to the mobile device using hydrogen as fuel, so that the progress data of the mobile device using hydrogen as fuel 300 can be monitored.

[0219] The dispenser 100 or the monitoring system or the fuel control system 130 may share data on the mobile device 300 side using hydrogen as fuel to monitor the fuel supply process through real-time two-way communication with the mobile device 300 side using hydrogen as fuel.

[0220] Operation S430 of supplying hydrogen according to the hydrogen fuel supply control sequence for reaching the target SOC may include an operation of generating a hydrogen fuel supply control request for one or more intermediate SOCs between the initial SOC and the target SOC.

[0221] In this case, the mobile device 300 side using hydrogen as fuel may request hydrogen fuel supply or determine a fuel supply protocol based on the relationship between individual input pressures and output pressures in a certain pressure range between a starting point and an end point.

[0222] Although according to Figure 7 The method of the exemplary embodiment shown in FIG can be executed by the mobile device 300 side using hydrogen as fuel, but it should be understood that Figure 7 Each operation shown in can be equivalently performed by the distributor 100 side. In the method performed by the distributor 100 side, the supplier or provider and the receiver can respectively Figure 7 The changes described in .

[0223] In addition, the operations performed by the hydrogen-fueled mobile device 300 side or the dispenser 100 side as described herein may be performed by the opposite side of the hydrogen-fueled mobile device 300 or the dispenser 100, or may be performed by the collaboration of the hydrogen-fueled mobile device 300 and the dispenser 100 according to another embodiment.

[0224] and Figure 7 In contrast to the embodiment shown in , a hydrogen fuel supply method based on user-driven settings according to another embodiment of the present disclosure can be performed by the dispenser 100 that supplies hydrogen. The method may include: receiving user input related to setting a hydrogen fuel supply target; determining the target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and providing the hydrogen fuel supply control program for achieving the target SOC.

[0225] In this case, the user input may include a target SOC for providing hydrogen fuel to the mobile device. The user input may correspond to an entry entered by the driver through an interface of the hydrogen-fueled mobile device 300 or a driver application after directly determining the SOC. The SOC based on the user input may be transmitted to the dispenser 100 side via a wired or wireless communication network. The dispenser 100 side may refer to the dispenser 100 or at least one of a controller in the dispenser 100, the monitoring system 130, and / or a device associated with the dispenser 100 and having communication capabilities.

[0226] In determining the target SOC, the target SOC may be determined based on one or more of the current SOC of the hydrogen-fueled mobile device 300 and fuel-related condition information of the hydrogen-fueled mobile device 300 according to user input. Dispenser 100 or monitoring system 130 may determine a final target SOC based on the user input.

[0227] Traditionally, hydrogen fuel supply is often performed with the goal of full fuel supply (i.e., SOC of 100%). However, achieving full fuel supply is a physically challenging condition in practice. In addition, the constraints required by the protocol itself can cause another difficulty in the fuel supply process. Another problem with conventional technology may include the difficulty in accurately determining SOC, which can be caused by the actual SOC being lower than the target SOC and the final temperature being low when fuel supply is completed.

[0228] Conventional standards do not allow for the amount of fuel supplied to be changed in accordance with user needs. However, due to differences in vehicle types, rates between fuel supply stations, driving styles between drivers, and driving distances between fuel supply operators, each user needs to determine a fuel supply amount that matches the situation and the user's needs.

[0229] For example, in the case of a personal passenger vehicle, a user may wish to set a fuel supply based on the user's daily, weekly, or monthly driving distance, the location or rate of fuel stations, and personal preferences.

[0230] In the case of commercial vehicles such as buses and trucks, fueling of the vehicles at a garage requires a significant amount of time due to the large capacity of batteries in the vehicles, and adjustment of the fuel supply amount to each vehicle may be required.

[0231] In this case, the fuel supply distribution of commercial vehicles may need to be adjusted according to the driving distance, driving time and driving pattern of each vehicle.

[0232] From the perspective of the operation of the fueling station 200 , fueling to an appropriate level may be more advantageous than full fueling to improve the efficiency of the operation.

[0233] Basing fuel on the required amount per vehicle may be advantageous for fuel efficiency and the life of major components such as storage tanks.

[0234] Exemplary embodiments of the present invention may utilize the following concepts to solve the problem and improve the system by implementing a fuel supply control sequence based on user-driven fuel supply amount settings.

[0235] The fuel supply amount may be determined at the user's initiative, and the fuel supply amount set by the user may be presented to the fuel supply station 200 .

[0236] The information to be determined by the user or transmitted to the fuel supply station 200 may include a monetary amount (set value), a fluid amount (eg, a set weight in kilograms (kg)), a target value (eg, in kg / m 2 one or more of a set pressure (a set pressure in units) and a determined fuel supply amount.

[0237] Embodiment 1: The driver may determine and input a target fuel supply amount through an in-vehicle application or a fuel supply application on a separate device, and the input fuel supply amount-related information may be transmitted to the dispenser 100 .

[0238] Embodiment 2. A user may input a desired fuel supply amount through a screen provided by the fuel supply station 200, and the dispenser 100 or the fuel supply control system may receive the fuel supply status of the hydrogen-fueled mobile device 300 and situation information related to the fuel supply (including surrounding information, such as ambient temperature) to ultimately determine the fuel supply amount and set a target value based on the fuel supply amount.

[0239] In this case, the availability or compatibility of the fuel supply may be determined through communication with the dispenser 100 , and the fuel supply target and progress may be checked through the interface of the hydrogen-fueled mobile device 300 .

[0240] According to an exemplary embodiment of the present disclosure, the following techniques may be required as a prerequisite for implementing a fuel supply control sequence based on a user-driven fuel supply amount setting:

[0241] - Ability to set fuel supply targets according to vehicle and other individual conditions, and continue fuel supply according to the settings

[0242] - Improved functionality for full fuel supply based on current protocols

[0243] - Add functions / interfaces to switch the relationship between SOC, amount of hydrogen in CHSS (kg), temperature and / or pressure

[0244] Figure 8is a conceptual diagram illustrating various embodiments of a hydrogen fuel supply process based on user-driven fuel supply amount setting.

[0245] based on Figure 8 The hydrogen fuel supply sequence of the user-driven fuel supply quantity setting of the present invention shown may include the following embodiments.

[0246] Implementation Method A. Improvement of Existing Fuel Supply Agreement

[0247] Implementation B. Technical Implementation of a New Protocol with User-Driven Fuel Level Setting Capability Implementation C. Improvements to the Communication Protocol for Real-Time Control

[0248] When the mobile device 300 using hydrogen as fuel is Figure 8 When entering the fuel supply station 200 in operation S510, an operation of determining a fuel supply target and a process for a selected protocol may be performed. This operation may correspond to Figure 7 Operations S410 and S420.

[0249] Furthermore, pairing between the hydrogen-fueled mobile device 300 and the dispenser 100 and checking basic information may be performed ( S520 ).

[0250] Next, the status of the hydrogen-fueled mobile device 300 (eg, temperature T, pressure P, and other details) and the user's requirements for the hydrogen-fueled mobile device 300 may be determined ( S530 ).

[0251] After operation S530, an optimal or preferred protocol may be selected.

[0252] That is, a preferred protocol may be selected for each user, or the best protocol may be determined based on the system's recommendations.

[0253] The method and / or process of setting the fuel supply amount may vary depending on the protocol, and such constraints may need to be considered when determining a preferred or optimal protocol.

[0254] Operation S430 of supplying hydrogen may be performed after operation S530. In operations S530 and S430, real-time two-way communication may be utilized (embodiment C).

[0255] In addition, in order to control the hydrogen fuel supply process in operation S430, improvement of an existing protocol (embodiment A) or development of a new protocol (embodiment B) may be utilized.

[0256] Figure 9 is a conceptual diagram illustrating various embodiments of a process and control method for hydrogen fuel supply based on user-driven fuel supply amount setting.

[0257] according to Figure 9 In the illustrated embodiment (1), in the operation of providing a hydrogen fuel supply control sequence for achieving a target SOC by the dispenser 100 or the monitoring system 130, a target hydrogen fuel supply control sequence corresponding to the target SOC can be determined from a group of hydrogen fuel supply control sequence candidates for achieving the corresponding target SOC.

[0258] This can be achieved by developing new protocols ( Figure 8 The embodiment shown in B) is used to enhance Figure 9 The diffusion efficiency of embodiment (1) shown in FIG.

[0259] According to an alternative embodiment of the present disclosure (i.e., Figure 9 In the embodiment (2) shown, in the operation of providing a hydrogen fuel supply control sequence for achieving a target SOC by the dispenser 100 or the monitoring system 130, the hydrogen fuel supply control sequence for achieving the target SOC can be predicted based on previous hydrogen fuel supply data between the dispenser 100 supplying hydrogen to the hydrogen-fueled mobile device 300 and the hydrogen-fueled mobile device 300.

[0260] Figure 9 Embodiment (2) of the present invention relates to a method for controlling a fuel supply process by utilizing a fuel supply time predicted based on existing data, etc., and can be achieved by improving an existing fuel supply protocol ( Figure 8 The embodiment A shown). In this case the achievable fueling efficiency is expected to be lower than Figure 9 The fuel filling efficiency of the embodiment (1).

[0261] exist Figure 9 In the graphs of embodiments (1) and (2), the slope of the pressure change represents the fuel supply rate, and the average pressure ramp rate (APRR), instantaneous pressure ramp rate (PRR), etc. can be used for fuel supply control. Figure 9 In the embodiments (1) and (2), the target value corresponding to the SOC set by the user can be set within the restriction standard, and the control parameters for the fuel supply can be determined step by step.

[0262] According to conventional protocols such as SAE J2601, a relationship between the start and end points of fuel supply is derived based on simulation, and the fuel supply process is controlled based on this relationship. However, in this case, since it is difficult to change the end point instantaneously and the fuel supply rate is set assuming full fuel supply, inefficiencies may occur when the target SOC decreases. Furthermore, it is not practical to specify a fuel supply rate individually for each of multiple target pressures.

[0263] In order to solve the problems of the prior art, an object of the present invention is to improve the fuel supply process so as to enable optimized control for each of various target values.

[0264] The fuel supply protocol according to an exemplary embodiment of the present invention is based on the relationship between pairs of input points and output points of respective pressure intervals, rather than on the entire fuel supply process from the start point to the end point of the fuel supply.

[0265] For example, if the input state is P0 = 100 bar and T0 = 25°C and the state after one second is taken as output, the output may be P1 = 102 bar and T1 = 26°C.

[0266] The state of P1 = 102 bar and T1 = 26° C. may be given as the next input, and the state of P2 = 103 bar and T2 = 27° C. may be obtained as the output one second later.

[0267] Then, the state of P2 = 103 bar and T2 = 27°C can be given as the next input, and the state of P3 = 104 bar and T3 = 27°C one second later can be obtained as the output.

[0268] According to an exemplary embodiment of the present disclosure, the entire fuel supply process can be reconstructed as a combination of segmented fuel supply sequences divided by certain constraints (for example, within one-second intervals) to achieve corresponding intermediate SOC or intermediate state values, and a fuel supply protocol can be applied to each segmented fuel supply sequence.

[0269] In an exemplary embodiment of the present disclosure, the operation of providing a hydrogen fuel supply control sequence for achieving a target SOC by the dispenser 100 or the monitoring system 130 may include an operation of generating a hydrogen fuel supply control command for fueling relative to at least one intermediate SOC between an initial SOC and a target SOC of the hydrogen fuel supply.

[0270] In order to implement the hydrogen fuel supply method according to the exemplary embodiment of the present invention, the following conditions may be required as prerequisites.

[0271] (a) Development of ANN models and utilization of protocols related to ANN models

[0272] (b) Collect actual fuel supply processing data and analyze it according to the situation

[0273] (c) utilizing the field data acquired in operations (a) and (b) and required by the ANN model for various use cases;

[0274] At the same time, as a prerequisite for providing a hydrogen fuel supply method based on user-driven fuel supply amount setting, the field data obtained in operations (a) and (b) and the execution of the ANN model can be tested. Figures 1 to 6 An embodiment implements a test platform to perform testing.

[0275] Further, see Figures 1 to 6 The present disclosure may include the following optimized implementations.

[0276] Implementation method: Optimization type 1

[0277] Independent optimization scenarios may be provided with respect to the monitoring system 130 in the dispenser 100 .

[0278] The ANN-MPC model can optimize the hydrogen fuel supply parameters without controlling the precooler or CHSS.

[0279] Implementation method: Optimization type 2

[0280] Optimization scenarios involving the integration of the dispenser 100 and the hydrogen-fueled mobile device 300 may be provided.

[0281] The ANN-MPC model can operate in conjunction with the pre-cooler and the hydrogen-fueled mobile device 300, and can involve a process for adaptively controlling the pre-cooling temperature on the side of the hydrogen-fueled mobile device 300. Specifically, the CHSS temperature drop signal of the hydrogen-fueled mobile device 300 can be used for such optimization.

[0282] According to an exemplary embodiment of the present disclosure, the operation of providing a hydrogen fuel supply control sequence for reaching a target SOC through the dispenser 100 or the monitoring system 130 may be performed using an artificial neural network 120 that receives a first intermediate SOC among one or more intermediate SOCs and predicts a hydrogen fuel supply control sequence for reaching a second intermediate SOC (which is the next intermediate SOC).

[0283] The artificial neural network 120 may receive the first intermediate SOC as input and generate a series of predicted future values ​​of a hydrogen fuel supply control sequence for achieving a second intermediate SOC through a model predictive control technique.

[0284] According to an exemplary embodiment of the present invention, the operation of the hydrogen fuel supply control sequence for achieving the target SOC provided by the dispenser 100 or the monitoring system 130 can be performed based on field data, in which the relationship between the hydrogen fuel supply control command and the change in SOC during the process from the initial SOC to the target SOC is recorded.

[0285] The hydrogen fuel supply method based on user-driven fuel supply amount setting performed by the dispenser 100 or the monitoring system 130 according to an exemplary embodiment of the present invention may also include: during the hydrogen fuel supply process from the initial SOC to the target SOC, the operation of obtaining or receiving progress data of the hydrogen fuel supply process of the hydrogen-fueled mobile device 300 from the dispenser 100 through two-way communication, and the dispenser 100 supplies hydrogen to the hydrogen-fueled mobile device 300; and the operation of monitoring the hydrogen fuel supply process based on a comparison result between the predicted data and the progress data from the initial SOC to the target SOC.

[0286] The hydrogen fuel supply method based on user-driven fuel supply amount setting performed by the dispenser 100 or the monitoring system 130 according to an exemplary embodiment of the present disclosure may also include: an operation of identifying or determining whether the hydrogen-fueled mobile device 300 can be supplied with hydrogen through communication with the hydrogen-fueled mobile device 300.

[0287] The hydrogen fuel supply method based on user-driven fuel supply amount setting performed by the dispenser 100 or the monitoring system 130 according to an exemplary embodiment of the present disclosure may also include: an operation of acquiring or receiving a target SOC through communication with the hydrogen-fueled mobile device 300; and an operation of providing prediction data of a hydrogen fuel supply control sequence for achieving the target SOC to the hydrogen-fueled mobile device 300.

[0288] In the hydrogen fuel supply method based on user-driven fuel supply amount setting performed by the dispenser 100 or the monitoring system 130 according to an exemplary embodiment of the present disclosure, when the user input includes a change in information related to setting the hydrogen fuel supply target, the operation of determining the target SOC may include the operation of determining a new target SOC updated based on the user input and / or the change in information.

[0289] The hydrogen fuel supply method based on user-driven fuel supply amount setting performed by the dispenser 100 or the monitoring system 130 according to an exemplary embodiment of the present disclosure may also include: providing the hydrogen fuel mobile device 300 with updated prediction data of the hydrogen fuel supply control sequence to achieve a new target SOC operation through communication with the hydrogen fuel mobile device 300.

[0290] In the above-described embodiment, the hydrogen fuel supply process or the control operation for hydrogen fuel supply is performed by the mobile device 300 or the dispenser 100 for hydrogen fuel supply. However, the operation of the mobile device 300 using hydrogen as fuel may be replaced by the corresponding operation of the dispenser 100, and the operation of the dispenser 100 may be replaced by the corresponding operation of the mobile device 300 using hydrogen as fuel. In addition, at least a portion of the hydrogen fuel supply process or the control operation for hydrogen fuel supply may be performed through cooperation between the mobile device 300 using hydrogen as fuel and the dispenser 100.

[0291] Figure 10 is a conceptual diagram illustrating an example of an artificial neural network for controlling a hydrogen fuel supply process of a hydrogen fuel supply mobile device according to an exemplary embodiment of the present disclosure;

[0292] like Figure 10 As shown, the current state measurement value is input to the input layer.

[0293] Current state measurement value, ambient temperature T amb , pre-cooling gas temperature T pre and pre-cooling gas pressure T pre , which can be measured at the nozzle of the dispenser 100 or the hydrogen fuel supply station 200 .

[0294] The gaseous hydrogen temperature T can be measured at the CHSS 310 side of the mobile device 300 that uses hydrogen as fuel. gas and gaseous hydrogen pressure P gas , and the actual measurement values ​​can be input into the input layer.

[0295] During the training process of the artificial neural network, the current state measurement value may be provided to the input layer, and the next state measurement value may be provided to the output layer as ground truth data for training the artificial neural network. The training process of the artificial neural network may refer to the process of training a function that predicts the next state measurement value of the output layer based on a combination of input measurement values. The correlation between the data input to the input layer and the data given to the output layer is trained, which enables prediction using theoretical results and actual dynamic fuel supply data.

[0296] During an inference or output process using the artificial neural network, an actually measured field measurement value may be provided to an input layer, and a predicted value of the next measurement value may be obtained as an output inferred by the operation of the artificial neural network.

[0297] According to exemplary embodiments of the present disclosure, shallow learning or deep learning may be used for the training process of the artificial neural network, and the artificial neural network may be any type of network as long as it can meet the purpose of the present disclosure.

[0298] The values ​​input to the input layer can be passed to the output layer through weight-based calculations in the hidden layer.

[0299] The state value output by the output layer (ie, the predicted value of the next state) may be used to calculate a fuel supply state variable, such as fill rate or SOC, using at least a portion of the thermodynamic model.

[0300] Exemplary embodiments of the present disclosure allow hybrid control combining theoretical simulation models and artificial neural networks. Hybrid control can meet certain results even by training with a small amount of data and can achieve the desired performance that meets the purpose of the present disclosure by using lightweight artificial neural networks.

[0301] The real-time pressure ramp rate (PRR) or mass flow rate of compressed hydrogen (M) measured in kilograms per second (kg / s) (m_dot) derived from the feedback control process may influence the weights or parameters of the hidden layers of the artificial neural network.

[0302] The artificial neural network-based hydrogen fuel supply technology disclosed in this disclosure can improve the accuracy of fuel supply predictions using models. Since actual fuel supply data can be used together with theoretical simulation results, real-time measurement data can be reflected in the predictions, which can further improve the accuracy of the prediction results.

[0303] While conventional control protocols calculate and predict results through simulations customized for individual situations, exemplary embodiments of the present disclosure can improve accuracy through repeated training for different situations.

[0304] Due to this difference, the accuracy of the control method according to the exemplary embodiment of the present disclosure gradually increases through updates as various theoretical values ​​and empirical results are added. Furthermore, even if a new fuel supply process using a new storage tank 310 with a different configuration or a change in flow rate is introduced, the model can be updated and adapted to the new fuel supply process through training using additional training data. Therefore, this control method can be widely applied to various mobile devices.

[0305] According to an exemplary embodiment of the present disclosure, in a hydrogen fuel supply test 300 for a mobile device using hydrogen as fuel, a model predictive control (MPC) technique may be used for a hydrogen fuel supply control technique.

[0306] Figure 11 is a conceptual diagram illustrating the concept of model predictive control for a hydrogen fuel supply process of a mobile device fueled with hydrogen according to an exemplary embodiment of the present disclosure.

[0307] In an exemplary embodiment, when the accuracy of the hydrogen fuel supply model reaches a certain level, the future fuel supply result is predicted from the hydrogen fuel supply model and the current measurement data, and the pressure ramp rate (PRR) can be controlled in real time based on the predicted value and the measurement value so that the pressure in the gaseous hydrogen of the CHSS 310, such as the temperature T gas or pressure P gas The optimal fuel supply target can be achieved when some variables do not violate the constraints.

[0308] See also Figure 11 , a model predictive control protocol according to an exemplary embodiment of the present disclosure can obtain future output values ​​based on predicted values ​​obtained by a model and current measured values, and adjust operating parameters or variables so that the predicted future response moves to a set point or target in an optimal manner.

[0309] For example, N model-based predicted values ​​may be derived at the current time (i). The N model-based predicted values ​​may form a predicted horizon.

[0310] At the same time, the N control commands or control actions required to make the N model predictions may form a control range.Each model-based prediction value in the prediction level map may correspond to a corresponding value in the control level map.

[0311] In practice, the (i+1)th control action can be passed to the system, which is the first control action among the N control actions derived at the current time (i). After a time interval, new N model prediction values ​​and new N control actions are derived at time (i+1), and the new model prediction values ​​and new control actions form a new prediction horizon and a new control horizon, respectively.

[0312] The technology for controlling the system while expanding or shifting the field of view in this manner is called model predictive control. According to an exemplary embodiment of the present disclosure, model predictive control is performed by using measured values ​​of state information or state values ​​including the temperature and pressure of gaseous hydrogen in the CHSS 310 and predicted values ​​of state variables.

[0313] Figure 12 is a flowchart illustrating a process of training an artificial neural network for hydrogen fuel supply control according to an exemplary embodiment of the present disclosure.

[0314] Figure 12 8 shows a process of training an artificial neural network according to an artificial neural network model predictive control (ANN-MPC) technology according to an exemplary embodiment of the present disclosure.

[0315] exist Figure 12In the exemplary embodiment shown, it is assumed that N future predictions are used together with control commands corresponding thereto. It is assumed that the N future predictions are obtained from the neural network model 120, which has learned the function of obtaining prediction horizons and control horizons based on artificial neural networks and model predictive control, specifically, optimizing the future response to reach the set point through model predictive control technology.

[0316] See also Figure 11 and Figure 12 , a control system can be configured based on the artificial neural network model 120, and a test platform system for real-time control based on model predictive control can be configured while ensuring the accuracy of the artificial neural network model 120.

[0317] The testbed system for real-time control can control the fuel supply rate, pressure ramp rate, and / or pressure increase rate to remain within an optimal range by predicting future filling results and comparing them with actual measurements. Constraints, control time intervals, and sensitivities can be individually set within the system logic.

[0318] Initially, optimal control is achieved based on real-time data from the hydrogen fueling station 200 and the hydrogen-fueled mobile device 300. However, when specific events occur during system operation, the system can directly control the pre-cooling temperature of the pre-cooler 210 and the cooling system 300 of the hydrogen-fueled mobile device to improve the overall efficiency of the hydrogen fueling process.

[0319] See also Figure 12 The control process is carried out by receiving the client SOC at time t=0. sp For example, the current SOC may be 50% and the SOC specified by the customer (SOC sp ) can be 85%.

[0320] The current instantaneous SOC (ie, SOC(t)) can be used as the gaseous hydrogen temperature T gas (t) and gaseous hydrogen pressure P gas (t) is given as a function of , and the detailed representation of this function can be determined based on general thermodynamic or dynamic models.

[0321] If the current SOC (SOC(t)) is greater than or equal to a specific SOC (SOC sp )(S720), the hydrogen fuel supply process may be terminated. If the current SOC (SOC(t)) is less than a specific SOC (SOC sp )(S720), the index (i) is set to i=t, and motion level prediction involving an artificial neural network may be performed (S730).

[0322] Operation S730 may be performed by performing prediction based on model predictive control using the artificial neural network 120, etc. In operation S740, it may be determined whether the N predictions acquired in operation S730 are predictions or control commands that are optimized or meet the intended purpose.

[0323] If the N predictions are determined to be optimal predictions in operation S740 , a control command PRR(t) may be determined based on the N predictions and the control command, and the control command PRR(t) may be applied to the dispenser 100 and the storage tank 310 ( S750 ).

[0324] Then, increase the time index (t) and obtain the gaseous hydrogen temperature T gas (t) and gaseous hydrogen pressure P gas (t) and transmits it to the input of operation S720.

[0325] If it is determined in operation S730 that the N predictions acquired in operation S730 are not optimal predictions, operation S730 may be performed again to obtain new N predictions and control commands.

[0326] exist Figure 12 In operation S730 , a state prediction value (T, P) pair satisfying temperature and pressure constraints may be generated for any positive integers i and k.

[0327] At the current time (i=t), N state prediction values ​​and corresponding control commands can be derived.

[0328] Figure 12 Operation S740 shown in FIG. 1 can be understood as searching for a minimum indication of whether the final control target SOC has been reached. sp The cost function of a set of N predictions.

[0329] State measurements output by the hydrogen-fueled mobile device 300 and including the temperature and pressure of the CHSS 310 may be provided to the artificial neural network model 120 as feedback inputs.

[0330] State measurements output by the hydrogen fueling station 200 and including the temperature and pressure of the pre-cooled gaseous hydrogen may be provided as further feedback to the artificial neural network model 120 .

[0331] The artificial neural network model 120 may provide predicted outputs to the hydrogen fuel supply control logic 110 , and the monitoring system 130 may provide future inputs obtained through simulation or model-based predictions to the artificial neural network model 120 through module-A 140 .

[0332] A control process based on an artificial neural network (ANN) and model predictive control (MPC), which uses simulation as well as actual measurement data, uses the artificial neural network model 120 to at least partially perform simulations and use the prediction results in the control process.

[0333] The present embodiment aims to configure an integrated control protocol for hydrogen fuel supply based on real-time data, and the system can be implemented by utilizing various technical elements.

[0334] The protocol installed on the dispenser 100 can receive data of pre-cooled gaseous hydrogen from the hydrogen fuel supply station 200 and data from the storage tank 310 of the hydrogen-fueled mobile device 300 as real-time input values, and can generate output data through the installed model to control the filling speed, pressure ramp rate (PRR) and / or mass flow rate (m_dot).

[0335] When an event such as a change in the external environment occurs, the integrated fuel supply control model in the dispenser 100 can directly control the pre-cooling temperature of the hydrogen fuel supply station 200 and the cooling system 300 of the hydrogen-fueled mobile device to generally regulate the filling speed, pressure ramp rate (PRR) and / or mass flow rate (m_dot) and processing efficiency.

[0336] The pre-cooling system or pre-cooler 210 of the hydrogen fueling station 200 may include a separate independent cooling stabilization system to supplement the control protocol.

[0337] In terms of temperature stabilization, the cooling stabilization system of the pre-cooler 210 can be independently controlled, but its control target value can be changed as a whole by the protocol of the distributor 100.

[0338] Additional functionality related to temperature stabilization may be imparted to the pre-cooler 210 to improve the economic efficiency of the hydrogen fueling station 200 and to supplement the functionality of the integrated control protocol.

[0339] The precooling temperature varies according to the initial temperature and flow rate of gaseous hydrogen supplied to the precooler 210. To compensate for this variation, a new precooler structure for stabilizing the temperature is proposed in an exemplary embodiment of the present disclosure.

[0340] The pre-cooler 210 according to an exemplary embodiment of the present disclosure may include control logic for controlling its own temperature and an interface with a protocol.

[0341] The storage tank 310 of the mobile device 300 fueled by hydrogen may include a forced cooling system that partially cools the compression heat generated during hydrogen fuel supply, thereby improving filling speed. The fuel supply protocol may also involve the operation and control of the forced cooling system of the storage tank 310.

[0342] In an exemplary embodiment of the present disclosure, a temperature management function may be provided to the storage tank 310 of the mobile device 300 that uses hydrogen as fuel to improve the hydrogen filling speed and supplement the function of the integrated control protocol.

[0343] In an exemplary embodiment of the present disclosure, the storage tank 310 of the hydrogen-fueled mobile device 300 may include a self-cooling system to increase the overall filling speed and enhance the safety of the hydrogen-fueled mobile device 300. The storage tank 310 may include control logic for its operation and an interface with a protocol.

[0344] The integrated control according to the exemplary embodiment of the present invention can improve the current fuel supply efficiency and facilitate preparation for the next fuel supply process.

[0345] In the T40 station where the precooling temperature of the precooler 210 is set to -40°C, when the precooling temperature reaches the target value but the external temperature is higher than the preset value and the temperature increase rate on the storage tank 310 side is greater than the expected value, a control signal or current status information can be transmitted to the mobile device 300 using hydrogen as fuel or the storage tank 310, so that the self-cooling system of the storage tank 310 can be operated.

[0346] Conversely, if the precooling temperature of the precooler 210 is set to -40°C but is determined to be excessive in consideration of the external environment and actual data, the target value of the precooling temperature may be adjusted (eg, to -35°C).

[0347] When the target pre-cooling temperature and the temperature of the storage tank 310 need to be additionally controlled, control information or a control command may be transmitted from the dispenser 100 to both the hydrogen supply mobile device 300 and the hydrogen fuel supply station 200 .

[0348] According to an exemplary embodiment of the present invention, the self-cooling system 300 of the mobile device 300 using hydrogen as fuel and the hydrogen fuel supply station 200 may be independently controlled or may be controlled in response to a signal from the dispenser 100 .

[0349] The integrated control method for hydrogen fuel supply according to the exemplary embodiment may further include an operation of determining whether a current state measurement value satisfies a constraint condition.

[0350] These constraints may include the condition that the temperature and pressure of the compressed hydrogen storage system (CHSS) in the hydrogen electric mobility device do not exceed temperature limits and pressure limits, respectively.

[0351] Exemplary embodiments of the present invention allow for improved efficiency of a hydrogen fueling / supplying process, and improved speed and real-time operability of the hydrogen fueling / supplying process, while safely fueling / supplying hydrogen fuel.

[0352] Exemplary embodiments of the present invention allow for implementation of a testing method and testing platform capable of accurately modeling a hydrogen fuel supply / supply process based on real-time field dynamic data.

[0353] Exemplary embodiments of the present invention allow for implementation of a testing method and a testing platform capable of providing a model capable of accurately controlling the hydrogen fuel supply / supply process by considering the differences between the results of modeling and simulation of a theoretical model and real-time field data or between the results of modeling and simulation and real-time field data.

[0354] Exemplary embodiments of the present invention enable a testing method for hydrogen fuel supply control that ensures real-time operability based on model predictive control (MPC).

[0355] Exemplary embodiments of the present disclosure enable a testing method for hydrogen fuel supply control with improved accuracy in predicting hydrogen fuel supply results based on an artificial neural network (ANN) model.

[0356] After receiving the fuel supply level (eg SOC) set directly by the user, hydrogen can be supplied to the fuel / supply until the Figure 11 and 12 The sequence shown in achieves the target quantity through real-time communication and calculation-based control logic.

[0357] The fuel supply amount can be set using various variables such as SOC, target pressure, time, and temperature, and the fuel supply rate can be controlled accordingly to improve efficiency.

[0358] Figure 13 is a conceptual diagram illustrating a bidirectional communication protocol of a hydrogen fuel supply process based on a user-driven setting according to an exemplary embodiment of the present disclosure.

[0359] exist Figure 13 An example of communication data required for real-time control is shown in FIG.

[0360] Figure 13 A two-way communication process and protocol based on a target fueling amount set by a user is shown.

[0361] Basic information to be checked by a counterpart, expected data according to a suggested target amount, and progress data may be exchanged between the hydrogen-fueled mobile device 300 and the dispenser 100 through two-way communication.

[0362] Operation S610 illustrates information provided by the hydrogen-fueled mobile device 300 to the dispenser 100 .

[0363] As basic information to be checked by the dispenser 100 , the type and capacity of the CHSS and other constraints of the hydrogen-fueled mobile device 300 may be provided by the hydrogen-fueled mobile device 300 to the dispenser 100 .

[0364] As monitoring information to be checked by the dispenser 100 , temperature (T) / pressure (P) in the mobile device 300 supplying hydrogen, SOC of CHSS, and emergency information may be provided to the dispenser 100 by the mobile device 300 supplying hydrogen.

[0365] As control information for the dispenser 100 to return a result value, the target fuel supply amount of the mobile device 300 using hydrogen as fuel may be provided by the mobile device 300 using hydrogen as fuel to the dispenser 100 .

[0366] Operation S620 illustrates information provided by the dispenser 100 to the hydrogen-fueled mobile device 300 .

[0367] As basic information, information about the fueling station 200 and the availability and / or compatibility of the hydrogen-fueled mobile device 300 may be returned by the dispenser 100 to the hydrogen-fueled mobile device 300 .

[0368] As an expected value, an expected progress result of the target fuel supply amount may be provided by the dispenser 100 to the mobile device 300 fueled by hydrogen.

[0369] As control information, information on a change in a target fuel supply amount and a progress value of a fuel supply process may be provided by the dispenser 100 to the mobile device 300 using hydrogen as fuel.

[0370] Figure 14 is a conceptual diagram illustrating a communication protocol and operation of a hydrogen fuel supply process based on user-driven settings according to an exemplary embodiment of the present disclosure.

[0371] See also Figure 14 , when the vehicle / mobile device 300 enters the fuel supply station 200 (S510), it may be checked whether basic information is appropriate between the vehicle / mobile device 300 and the dispenser 100 (S520).

[0372] If it is determined in operation S520 that the basic information is appropriate, operation S530 may be performed through two-way communication between the vehicle / mobile device 300 and the dispenser 100 .

[0373] The vehicle / mobile device 300 may provide the dispenser 100 with (1) a target fuel supply (amount, cost, etc.).

[0374] The dispatcher 100 may provide the vehicle / mobile device 300 with (2) predicted data (time, cost, etc.).

[0375] The vehicle / mobile device 300 may provide the dispenser 100 with (3) the temperature, pressure, and SOC of the hydrogen tank in the vehicle / mobile device 300 , as well as other details in the vehicle / mobile device 300 .

[0376] In response to this information, the dispenser 100 may provide the vehicle / mobile device 300 with (3) changes in the fuel supply speed and target fuel supply amount for the hydrogen fuel supply.

[0377] When the target SOC is reached as a result of the fuel supply, the dispenser 100 may provide the vehicle / mobile device 300 with (4) a completion notification signal.

[0378] In response to the completion notification signal, the vehicle / mobile device 300 may provide the dispenser 100 with (5) a request for the fuel supply termination process.

[0379] Sequences (3) to (5) may be performed in conjunction with the security check process in operation S540. In addition, the check result of operation S520 may also be transmitted to operation S540.

[0380] In addition, when it is determined in step S520 that the basic information is not appropriate, the fuel supply process may be terminated (S550).

[0381] After the fuel supply process is terminated, the safety personnel can check the situation again (S560). If the safety personnel confirms that it is safe, the basic information can be checked again in operation S520 to see if it is appropriate. However, if the safety personnel does not confirm that it is safe, it can be determined that the fuel supply cannot be carried out.

[0382] The method for identifying / determining a hydrogen fuel supply protocol for supplying hydrogen to the hydrogen-fueled mobile device 300 based on user-driven settings according to an exemplary embodiment of the present disclosure may be performed by the hydrogen-fueled mobile device 300 in operation S520. The method for identifying / determining a protocol according to an exemplary embodiment of the present disclosure may include: an operation of identifying / determining a fuel supply protocol supported by the dispenser 100 that supplies hydrogen to the hydrogen-fueled mobile device 300 and / or supplies hydrogen to the hydrogen-fueled mobile device 300 through communication with the dispenser 100; and an operation of determining whether the identified / determined fuel supply protocol supports a function or interface that allows a user to set a target SOC for supplying hydrogen fuel to the hydrogen-fueled mobile device 300.

[0383] According to another exemplary embodiment of the present invention, in operation S520, a method for identifying / determining a hydrogen fuel supply protocol for supplying hydrogen to a hydrogen-fueled mobile device based on user-driven settings may be performed by the dispenser 100. The method for identifying / determining a protocol according to an exemplary embodiment of the present disclosure may include: an operation of identifying / determining a fuel supply protocol supported by the dispenser 100, the dispenser 100 supplying hydrogen to the hydrogen-fueled mobile device 300 and / or supplying hydrogen to the hydrogen-fueled mobile device 300 through communication with the hydrogen-fueled mobile device 300; and an operation 300 of determining whether the identified / determined fuel supply protocol supports a function or interface that allows a user to set a target SOC for supplying hydrogen to the hydrogen-fueled mobile device.

[0384] The method for negotiating a hydrogen fuel supply protocol for supplying hydrogen to a hydrogen-fueled mobile device 300 based on user-driven settings according to an exemplary embodiment of the present disclosure may be performed by the hydrogen-fueled mobile device 300 in operation S520. The method for negotiating a protocol according to an exemplary embodiment of the present disclosure may include: an operation of identifying / determining at least one fuel supply protocol supported by the dispenser 100 that supplies hydrogen to the hydrogen-fueled mobile device 300 and / or supplies hydrogen to the hydrogen-fueled mobile device 300 through communication with the dispenser 100; and an operation of selecting / determining a fuel supply protocol that supports the following functions or interfaces: allowing a user to set a target SOC for supplying hydrogen to the hydrogen-fueled mobile device 300 as a preferred fuel supply protocol among the at least one fuel supply protocol, and negotiating the preferred fuel supply protocol with the dispenser 100 through communication with the dispenser 100.

[0385] According to another exemplary embodiment of the present disclosure, a method for negotiating a hydrogen fuel supply protocol for supplying hydrogen to a hydrogen-fueled mobile device based on user-driven settings can be performed by the dispenser 100 in operation S520. The method for negotiating a protocol according to an exemplary embodiment of the present disclosure may include: an operation of identifying / determining at least one fuel supply protocol supported by the dispenser 100, wherein the dispenser 100 supplies hydrogen to the hydrogen-fueled mobile device 300 and / or supplies hydrogen to the hydrogen-fueled mobile device 300 through communication with the hydrogen-fueled mobile device 300; and an operation of selecting / determining a fuel supply protocol that supports the following functions or interfaces as a preferred fuel supply protocol among the at least one fuel supply protocol: allowing a user to set a target SOC for supplying hydrogen to the hydrogen-fueled mobile device 300, and negotiating the preferred fuel supply protocol with the hydrogen-fueled mobile device 300 through communication with the hydrogen-fueled mobile device 300.

[0386] In operation S520, the dispenser 100 and the hydrogen-fueled mobile device 300 may exchange basic information through communication. At this time, the basic information may include information on whether each of the dispenser 100 and / or the hydrogen-fueled mobile device 300 supports the hydrogen fuel supply process based on the fuel supply amount set by the user.

[0387] The basic information may include a hydrogen fueling protocol supported by the hydrogen-fueled mobile device 300 and a communication protocol related to the hydrogen fueling protocol. In addition, the basic information may include a hydrogen fuel supply protocol supported by the dispenser 100 and a communication protocol related to the hydrogen fuel supply protocol. Sharing the basic information between the hydrogen-fueled mobile device 300 and the dispenser 100 enables determination of interoperability of the hydrogen fueling protocols supported by the hydrogen-fueled mobile device 300 and the dispenser 100.

[0388] At this time, criteria for selecting a fuel supply protocol between the hydrogen-fueled mobile device 300 and the dispenser 100 may include interoperability and whether the protocol supports a hydrogen fuel supply process based on a user-set fuel supply amount of the present disclosure.

[0389] In an exemplary embodiment of the present disclosure, it may be determined whether a fuel supply protocol satisfying requirements regarding interoperability between a plurality of hydrogen fuel supply protocols supports a hydrogen fuel supply process based on a fuel supply amount set by a user based on basic information in operation S520 .

[0390] In another exemplary embodiment of the present disclosure, a fuel supply protocol negotiation process may be performed based on basic information in operation S520, so that a fuel supply protocol that supports a hydrogen fuel supply process based on a fuel supply amount set by a user may be preferentially selected from among a plurality of fuel supply protocols that meet requirements regarding interoperability.

[0391] In an exemplary embodiment of the present disclosure, information about fuel supply protocols supported by the hydrogen-fueled mobile device 300 may be forwarded to the dispenser 100 as basic information, and the dispenser 100 may select a hydrogen fuel supply protocol and a hydrogen fuel supply process that support interoperability based on the fuel supply amount set by the user.

[0392] In another embodiment of the present disclosure, information about the fuel supply protocols supported by the dispenser 100 can be forwarded to the hydrogen-fueled mobile device 300 as basic information through two-way communication, and the hydrogen-fueled mobile device 300 can select a hydrogen fuel supply protocol and a hydrogen fuel supply process that support interoperability based on the fuel supply amount set by the user.

[0393] In another exemplary embodiment of the present disclosure, information about the fuel supply protocols supported by the dispenser 100 and the hydrogen-fueled mobile device 300 can be shared as basic information through two-way communication, and a hydrogen fuel supply protocol that supports interoperability and a hydrogen fuel supply process based on a fuel supply amount set by a user can be selected or determined through negotiation between the dispenser 100 and the hydrogen-fueled mobile device 300.

[0394] In the user-driven settings-based hydrogen fuel supply method performed by the dispenser 100, the monitoring system 130, or the hydrogen-fueled mobile device 300 according to an exemplary embodiment of the present disclosure, if the user input delivered in step S530 includes a change related to the hydrogen fuel supply target setting, the step of determining the target fuel supply rate may determine a new target fuel supply rate change based on the change.

[0395] According to an exemplary embodiment of the present disclosure, the hydrogen fuel supply method for the hydrogen-fueled mobile device 300 or the fuel supply amount performed by the dispenser 100, the monitoring system 130 based on a user setting may further include an operation of providing the hydrogen-fueled mobile device 300 with updated prediction data of a hydrogen fuel supply control sequence for achieving a new target SOC through communication between the dispenser 100 and the hydrogen-fueled mobile device 300 in operation S530.

[0396] Figure 15 It shows that it can be executed Figures 1-14 A block diagram of a general configuration of a hydrogen fuel supply control device, a hydrogen fuel supply control system, a hydrogen fuel supply test platform, a hydrogen fuel supply test system, or a computing system for at least a portion of a process.

[0397] A controller or monitoring system 130 for controlling the hydrogen fuel supply test process may be disposed on the dispenser 100 side. Communication interfaces 140, 150, or 160 for controlling the hydrogen fuel supply test process may be distributed in all or some of the dispenser 100, the hydrogen fuel supply station 200, or the mobile device 300 using hydrogen as fuel to control at least some of the dispenser 100, the hydrogen fuel supply station 200, or the mobile device 300 using hydrogen as fuel.

[0398] The controller or communication interface 130 , 140 , 150 or 160 constituting the hydrogen fuel supply test platform and / or system may be implemented in the form of a computing system including a memory 1200 and a processor 1100 electrically connected to the memory 1200 .

[0399] At least some of the hydrogen fuel supply process, hydrogen fuel supply control method, and / or test method according to the exemplary embodiment of the present disclosure may be performed by Figure 15Executed by computing system 1000.

[0400] See also Figure 15 , a computing system 1000 according to an exemplary embodiment of the present disclosure may include a processor 1100 , a memory 1200 , a communication interface 1300 , a storage device 1400 , an input interface 1500 , an output interface 1600 , and a system bus 1700 .

[0401] The computing system 1000 according to the exemplary embodiment of the present disclosure may include at least one processor 1100 and a memory 1200 storing program instructions that instruct the at least one processor 1100 to perform at least one processing step. At least some operations or processing steps of the method according to the exemplary embodiment of the present disclosure may be performed by the at least one processor 1100 loading and executing the program instructions from the memory 1200.

[0402] The processor 1100 that executes program instructions or commands stored in the memory 1200 may include a central processing unit (CPU) or a graphics processing unit (GPU), or may be implemented by another dedicated processor suitable for executing the method of the present disclosure.

[0403] Each of the memory 1200 and the storage device 1400 may include one or more of a volatile storage medium or a non-volatile storage medium. For example, the memory 1200 may include one or more of a read-only memory (ROM) and / or a random access memory (RAM).

[0404] Furthermore, the computing system 1000 may include a communication interface 1300 that performs communication through a wireless communication network.

[0405] In addition, the computing system 1000 may further include a storage device 1400 , an input interface 1500 , and an output interface 1600 .

[0406] The components of the computing system 1000 may be connected to each other through the system bus 1700 so as to communicate with each other.

[0407] The computing system 1000 according to an exemplary embodiment of the present disclosure may be any data processing device capable of communicating over a network, such as a desktop computer, a laptop computer, a notebook PC, a smart phone, a tablet PC, a mobile phone, a smart watch, smart glasses, an e-book reader, a portable multimedia player (PMP), a portable game console, a navigation device, a digital camera, a digital multimedia broadcasting (DMB) player, a digital audio recorder, a digital audio player, a digital video recorder, a digital video player, and a personal digital assistant (PDA).

[0408] According to an exemplary embodiment of the present disclosure, a hydrogen fuel supply apparatus provided or installed on a hydrogen-fueled mobile device 300 to supply hydrogen fuel to the hydrogen-fueled mobile device 300 based on a user-driven setting may include a memory 1200 storing at least one instruction and a processor 1100 executing the at least one instruction.

[0409] By executing at least one instruction, the processor 1100 can receive user input related to setting a hydrogen fuel supply target, determine a target fuel supply rate (SOC) for supplying hydrogen fuel to the hydrogen-fueled mobile device 300 based on the user input, and enable / control the hydrogen-fueled mobile device to be supplied with hydrogen according to a hydrogen fuel supply control sequence for achieving the target SOC.

[0410] At this time, the user input may include a hydrogen-fueled target SOC for the hydrogen-fueled mobile device 300. That is, the driver may directly determine the SOC in the hydrogen-fueled mobile device 300 or use a driving application software.

[0411] Processor 1100 may determine the target SOC based on the user input based on one or more of the current SOC of hydrogen-fueled mobile device 300 and / or fuel supply-related status information of hydrogen-fueled mobile device 300. Hydrogen-fueled mobile device 300 (rather than dispenser 100 or control system 130) may determine the final target SOC based on the user input of the desired fueling amount.

[0412] The processor 1100 may acquire or receive progress data of the hydrogen fuel supply process for the hydrogen-fueled mobile device 300 from the initial SOC to the target SOC during the hydrogen fuel supply process.

[0413] The processor 1100 may transmit progress data of the hydrogen-fueled mobile device 300 to the dispenser 100 or the fuel supply control system 130 that supplies hydrogen to the hydrogen-fueled mobile device 300 so that the progress data of the hydrogen-fueled mobile device 300 may be monitored.

[0414] At this time, data on the mobile device 300 side using hydrogen as fuel can be shared between the mobile device 300 using hydrogen as fuel and the dispenser 100 through real-time two-way communication, so that the fuel supply process can be monitored.

[0415] The processor 1100 may generate a hydrogen fuel supply control request regarding one or more intermediate SOCs between the initial SOC and the target SOC.

[0416] Processor 1100 may request hydrogen fueling based on the relationship between various input and output pressures within a pressure range between a starting point and an end point. Alternatively, processor 1100 may request that a protocol for providing hydrogen fuel be derived based on the relationship between a single input pressure and an output pressure.

[0417] The dispenser 100 according to an exemplary embodiment of the present disclosure may include a memory 1200 storing at least instructions and a processor 1100 executing the at least instructions, the dispenser 100 for providing hydrogen to a hydrogen-fueled mobile device 300 based on user-driven settings.

[0418] By executing at least one instruction, the processor 1100 can receive user input related to setting a hydrogen fuel supply target, determine a target fuel supply rate (SOC) for supplying hydrogen fuel to the hydrogen-fueled mobile device 300 based on the user input, and provide a hydrogen fuel supply control sequence for achieving the target SOC.

[0419] The processor 1100 may acquire or receive progress data of the hydrogen fuel supply process for the hydrogen-fueled mobile device 300 from the dispenser 100 through bidirectional communication from the initial SOC to the target SOC during the hydrogen fuel supply process. The dispenser 100 supplies hydrogen to the hydrogen-fueled mobile device 300.

[0420] The processor 1100 may monitor the hydrogen fuel supply process based on a comparison result between the prediction data and the progress data from the initial SOC to the target SOC.

[0421] The apparatus and method according to the exemplary embodiments of the present disclosure can be implemented by computer-readable program code or instructions stored on a computer-readable intangible recording medium. Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. Computer-readable recording media can be distributed on computer systems connected via a network, so that computer-readable programs or codes can be stored and executed in a distributed manner.

[0422] Computer readable recording media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, and flash memory. Program instructions may include not only machine language codes generated by a compiler, but also high-level language codes executable by a computer using an interpreter or the like.

[0423] Some aspects of the present invention described above in the context of device can indicate the corresponding description of the method according to the present invention, and the block or device can correspond to the operation of the method or the feature of the operation. Similarly, some aspects described in the context of the method can be expressed by the feature of a block, project or a device corresponding thereto. Some or all operations of the method can be performed by using hardware devices (for example, microprocessors, programmable computers or electronic circuits). In some exemplary embodiments, one or more of the most important operations of the method can be performed by such a device.

[0424] In some exemplary embodiments, a programmable logic device, such as a field programmable gate array (FPGA), may be used to perform some or all of the functionality of the methods described herein. In some exemplary embodiments, a field programmable gate array (FPGA) may be operated by a microprocessor to perform one of the methods described herein. Typically, the method is preferably performed by a hardware device.

[0425] The description of the present disclosure is essentially exemplary only, and therefore, variations that do not deviate from the essence of the present disclosure are intended to fall within the scope of the present disclosure. These variations should not be considered as departing from the spirit and scope of the present disclosure. Thus, it will be understood by those skilled in the art that various changes in form and details can be made without departing from the spirit and scope defined by the appended claims.

Claims

1. A method of supplying (supplying) hydrogen to a hydrogen-fueled mobile device based on user-driven settings, comprising: receiving user input related to hydrogen fuel supply target settings; determining a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and The supply of hydrogen to the hydrogen-fueled mobile device is controlled according to a hydrogen fuel supply control sequence for achieving the target state of charge.

2. The method according to claim 1, wherein The user input includes the target state of charge for supplying hydrogen to the hydrogen-fueled mobile device.

3. The method according to claim 1, wherein In determining the target state of charge, according to the user input, the target state of charge is determined based on one or more of a current state of charge of the hydrogen-fueled mobile device and fuel supply-related information of the hydrogen-fueled mobile device.

4. The method according to claim 1, further comprising: Obtaining or receiving progress data of a hydrogen fuel supply process of the hydrogen-fueled mobile device from an initial charging state to the target charging state; and The progress data of the hydrogen-fueled mobile device is transmitted to a dispenser or a fuel supply control system that supplies hydrogen to the hydrogen-fueled mobile device, so that the progress data of the hydrogen-fueled mobile device can be monitored.

5. The method according to claim 1, further comprising: A hydrogen fuel supply control request is generated that is associated with at least one intermediate state of charge between an initial state of charge and the target state of charge.

6. A method of supplying (supplying) hydrogen to a hydrogen-fueled mobile device based on user-driven settings, comprising: receiving user input related to hydrogen fuel supply target settings; determining a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and A hydrogen fuel supply control sequence is provided for achieving the target state of charge.

7. The method according to claim 6, wherein: The user input includes the target state of charge for supplying hydrogen to the hydrogen-fueled mobile device.

8. The method according to claim 6, wherein: In determining the target state of charge, according to the user input, the target state of charge is determined based on one or more of a current state of charge of the hydrogen-fueled mobile device and fuel supply-related information of the hydrogen-fueled mobile device.

9. The method according to claim 6, wherein: Providing the hydrogen fuel supply control sequence for achieving the target state of charge includes: A target hydrogen fuel supply control sequence corresponding to the target state of charge is determined from a candidate group of hydrogen fuel supply control sequences for achieving the corresponding target state of charge.

10. The method according to claim 6, wherein: Providing the hydrogen fuel supply control sequence for achieving the target state of charge includes: The hydrogen fuel supply control sequence for achieving the target state of charge is predicted based on previous hydrogen fuel supply data between a dispenser that supplies hydrogen to the hydrogen-fueled mobile device and the hydrogen-fueled mobile device.

11. The method according to claim 6, wherein: Providing the hydrogen fuel supply control sequence for achieving the target state of charge includes: A hydrogen fuel supply control command for performing fuel supply is generated for at least one intermediate state of charge between an initial state of charge and the target state of charge.

12. The method according to claim 11, wherein Providing the hydrogen fuel supply control sequence for achieving the target state of charge is performed using an artificial neural network, the artificial neural network configured to receive a first intermediate state of charge among the at least one intermediate state of charge and predict a hydrogen fuel supply control sequence for achieving a second intermediate state of charge immediately adjacent to the first intermediate state of charge.

13. The method according to claim 12, wherein: The artificial neural network is configured to receive the first intermediate state of charge as input and generate a series of predicted future values ​​of the hydrogen fuel supply control sequence for reaching the second intermediate state of charge through a model predictive control technique.

14. The method according to claim 11, wherein Providing the hydrogen fuel supply control sequence for achieving the target state of charge includes: The hydrogen fuel supply control sequence is provided based on field data including relationship data between the hydrogen fuel supply control command and state of charge changes during a process of reaching the target state of charge from the initial state of charge.

15. The method according to claim 6, further comprising: During a hydrogen fuel supply process of the hydrogen-fueled mobile device from an initial state of charge to the target state of charge, acquiring or receiving progress data of the hydrogen fuel supply process from a dispenser supplying hydrogen to the hydrogen-fueled mobile device through bidirectional communication; and The hydrogen fuel supply process is monitored based on a comparison result of prediction data and the progress data from the initial state of charge to the target state of charge.

16. The method according to claim 6, further comprising: Whether hydrogen can be supplied to the hydrogen-fueled mobile device is determined by communicating with the hydrogen-fueled mobile device.

17. The method according to claim 6, further comprising: obtaining or receiving the target state of charge by communicating with the hydrogen-fueled mobile device; and Predictive data of the hydrogen fuel supply control sequence for achieving the target state of charge is provided to the hydrogen-fueled mobile device.

18. The method according to claim 6, wherein Determining the target state of charge for supplying hydrogen to the hydrogen-fueled mobile device includes: A new target state of charge updated based on the user input including a change in information related to the hydrogen fuel supply target setting is determined.

19. The method according to claim 18, further comprising: Through communication with the hydrogen-fueled mobile device, updated prediction data of a hydrogen fuel supply control sequence for reaching the new target state of charge is provided to the hydrogen-fueled mobile device.

20. A hydrogen fuel supply device, arranged on a mobile device that uses hydrogen as fuel, to supply (supply) hydrogen to the mobile device that uses hydrogen as fuel based on a user-driven setting, the hydrogen fuel supply device comprising: a memory storing at least one program instruction; as well as a processor, executing the at least one program instruction, Wherein, the processor is configured to: receiving user input related to hydrogen fuel supply target settings; determining a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and The supply of hydrogen to the hydrogen-fueled mobile device is controlled according to a hydrogen fuel supply control sequence for achieving the target state of charge.

21. The hydrogen fuel supply device according to claim 20, wherein: The user input includes the target state of charge for supplying hydrogen to the hydrogen-fueled mobile device.

22. The hydrogen fuel supply device according to claim 20, wherein: The processor is further configured to: The target state of charge is determined based on one or more of a current state of charge of the hydrogen-fueled mobile device and fuel supply-related information of the hydrogen-fueled mobile device according to the user input.

23. The hydrogen fuel supply device according to claim 20, wherein: The processor is further configured to: Obtaining or receiving progress data of a hydrogen fuel supply process of the hydrogen-fueled mobile device from an initial charging state to the target charging state; and The progress data of the hydrogen-fueled mobile device is transmitted to a dispenser or a fuel supply control system that supplies hydrogen to the hydrogen-fueled mobile device, so that the progress data of the hydrogen-fueled mobile device can be monitored.

24. The hydrogen fuel supply device according to claim 20, wherein: The processor is further configured to: A hydrogen fuel supply control request is generated that is associated with at least one intermediate state of charge between an initial state of charge and the target state of charge.

25. A dispenser apparatus for supplying (supplying) hydrogen to a hydrogen-fueled mobile device based on a user-driven setting, the dispenser apparatus comprising: a memory storing at least one program instruction; as well as a processor, executing the at least one program instruction, Wherein, the processor is configured to: receiving user input related to hydrogen fuel supply target settings; determining a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device based on the user input; and A hydrogen fuel supply control sequence is provided for achieving the target state of charge.

26. The dispenser device of claim 25, the processor further configured to: During a hydrogen fuel supply process of the hydrogen-fueled mobile device from an initial state of charge to the target state of charge, acquiring or receiving progress data of the hydrogen fuel supply process from the dispenser device through bidirectional communication, the dispenser device supplying hydrogen to the hydrogen-fueled mobile device; and The hydrogen fuel supply process is monitored based on a comparison result of prediction data and the progress data from the initial state of charge to the target state of charge.

27. A method for determining a hydrogen fuel supply protocol for supplying (supplying) hydrogen to a hydrogen-fueled mobile device based on user-driven settings, the method comprising: using communications between a dispenser supplying hydrogen to the hydrogen-fueled mobile device and the hydrogen-fueled mobile device to determine a first fuel supply protocol supported between the dispenser and the hydrogen-fueled mobile device; and A determination is made as to whether the first fuel supply protocol supports an interface for a user to set a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device.

28. A method of negotiating a hydrogen fuel supply agreement for supplying (supplying) hydrogen to a hydrogen-fueled mobile device based on user-driven settings, the method comprising: using communications between a dispenser supplying hydrogen to the hydrogen-fueled mobile device and the hydrogen-fueled mobile device to determine at least one fueling protocol supported by the dispenser and the hydrogen-fueled mobile device; and One fuel supply protocol among the at least one fuel supply protocol is determined as a preferred fuel supply protocol for performing protocol negotiation between the dispenser and the hydrogen-fueled mobile device using communication between the dispenser and the hydrogen-fueled mobile device, the one fuel supply protocol supporting an interface for a user to set a target state of charge (SOC) for supplying hydrogen to the hydrogen-fueled mobile device.

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