Vehicle control device of ammonia fuel battery and control method of the same

Abstract

To provide a vehicle control device of an ammonia fuel battery, capable of controlling an ammonia fuel battery system by using at least one of traveling information and battery information for stabilizing an ammonia decomposition rate of a cracker in traveling of a vehicle to which the ammonia fuel battery is mounted, and minimizing a residual ammonia.SOLUTION: The present disclosure relates to a vehicle control device of an ammonia fuel battery, and a method. The method includes: storing ammonia in an ammonia tank; dissolving the ammonia stored in the ammonia tank into hydrogen; controlling at least one of an ammonia supply amount supplied to a cracker and a condition of the cracker; calculating a prediction hydrogen consumption amount on the basis of at least one of traveling information and battery information; and controlling at least one of the ammonia supply amount and the condition of the cracker on the basis of the prediction hydrogen consumption amount calculated.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an ammonia fuel cell vehicle control device and a control method thereof. [Background technology]

[0002] In recent years, there has been a trend for traditional gasoline-powered vehicles to be replaced by vehicles using other fuels. Among these, ammonia fuel cell vehicles are in the spotlight. Ammonia-based fuel cells are devices that reform ammonia into hydrogen to supply it as fuel and generate electricity and heat. Liquefied ammonia is a compound of hydrogen and nitrogen, and is in the spotlight as an environmentally friendly energy source because it is easy to transport and store and has low carbon emissions. It has been evaluated that activating the reforming system using ammonia fuel, which has high energy density and is environmentally friendly, is a transitional alternative toward a carbon-neutral society.

[0003] Recently, more advanced ammonia fuel cell technology has been developed. Many companies have developed technology to convert ammonia into hydrogen for use in large-scale facilities such as charging stations.

[0004] However, conventional technologies have focused on methods to simply convert ammonia into hydrogen, which requires very high temperatures and many additional devices, resulting in the need for large-scale facilities.In addition, due to insufficient analysis of the vehicle state, vehicle driving information, and vehicle battery information, it is not possible to calculate the optimal expected hydrogen consumption amount, resulting in the problem of excessive hydrogen consumption. Summary of the Invention [Problem to be solved by the invention]

[0005] According to one aspect of the present disclosure, it is possible to provide a vehicle control device for an ammonia fuel cell that can control an ammonia fuel cell system using at least one of driving information and battery information to stabilize the ammonia decomposition rate of a cracker and minimize residual ammonia when a vehicle equipped with an ammonia fuel cell is running.

[0006] According to one aspect of the present disclosure, it is possible to provide a vehicle control device for an ammonia fuel cell that calculates the amount of hydrogen consumption required for vehicle operation based on at least one of driving information and battery information, and controls the amount of hydrogen consumption according to the predicted amount of hydrogen consumption.

[0007] According to one aspect of the present disclosure, hydrogen can be produced as much as necessary when a vehicle equipped with an ammonia fuel cell is traveling, which can improve battery efficiency, contribute to the environment, and enable the production of clean energy.

[0008] According to one aspect of the present disclosure, by controlling the amount of ammonia supplied to the cracker to an optimal amount, it is possible to prevent unnecessary ammonia from being supplied, which would result in overcharging the battery or generating residual ammonia, thereby contributing to the environment and enabling the production of clean energy. [Means for solving the problem]

[0009] An ammonia fuel cell vehicle control device according to one embodiment of the present disclosure includes an ammonia tank that stores ammonia, a cracker that decomposes the ammonia stored in the ammonia tank into hydrogen, and an equipment controller that controls at least one of an ammonia supply amount supplied to the cracker and conditions of the cracker, and the equipment controller calculates a predicted hydrogen consumption amount based on at least one of driving information and battery information, and controls at least one of the ammonia supply amount and the conditions of the cracker based on the calculated predicted hydrogen consumption amount.

[0010] According to one embodiment, the device controller may include an expected hydrogen consumption calculation unit, an ammonia supply amount control unit, and a cracker condition control unit.

[0011] According to one embodiment, the driving information includes urban driving section information, highway driving section information, and traffic congestion information, and the expected hydrogen consumption calculation unit can calculate the expected hydrogen consumption based on at least one of the urban driving section information, the highway driving section information, and the traffic congestion information.

[0012] According to one embodiment, the ammonia supply amount control unit calculates an ammonia supply amount required to secure the calculated expected hydrogen supply amount, and controls at least one of piping and valves so that the calculated ammonia supply amount can be supplied to the cracker.

[0013] According to one embodiment, the cracker condition control unit may control conditions inside the cracker such that the amount of ammonia decomposed into hydrogen in the cracker does not exceed the expected hydrogen consumption amount.

[0014] According to one embodiment, the expected hydrogen consumption calculation unit can check at least one of the driving information and the battery information at a predetermined periodic interval, and update the expected hydrogen consumption based on at least one of the driving information and the battery information.

[0015] According to one embodiment, the vehicle control device for an ammonia fuel cell according to the present disclosure further includes a display for displaying a graphic image, and the device controller displays an icon on the display that allows a user to select automatic control or manual control of the ammonia supply amount, and when an automatic control input is received, the device controller automatically controls the ammonia supply amount, and when a manual control input is received, the device controller controls the ammonia supply amount according to an input from a user.

[0016] According to one embodiment, the vehicle control device for an ammonia fuel cell according to the present disclosure further includes an input unit that senses internal state information of the ammonia tank, and the device controller can calculate an expected hydrogen consumption amount based on at least one of the driving information, the battery information, and the sensed internal state information.

[0017] In one embodiment, the internal condition information may include at least one of temperature, pressure, and humidity of the ammonia tank.

[0018] An ammonia fuel cell vehicle control method according to one embodiment of the present disclosure includes the steps of storing ammonia in an ammonia tank, decomposing the ammonia stored in the ammonia tank into hydrogen, controlling at least one of an ammonia supply amount supplied to a cracker and conditions of the cracker, calculating a predicted hydrogen consumption amount based on at least one of driving information and battery information, and controlling at least one of the ammonia supply amount and conditions of the cracker based on the calculated predicted hydrogen consumption amount. Effect of the Invention

[0019] According to one embodiment of the present disclosure, hydrogen can be produced as much as necessary while a vehicle equipped with an ammonia fuel cell is running, which has the advantage of improving battery efficiency.

[0020] According to one embodiment of the present disclosure, by controlling the amount of ammonia supplied to the cracker to an optimal amount, it is possible to prevent unnecessary ammonia from being supplied, which can lead to overcharging of the battery or generation of residual ammonia.

[0021] According to one embodiment of the present disclosure, it is possible to advantageously stabilize the ammonia cracking rate by controlling the cracker conditions based on the expected hydrogen consumption. [Brief description of the drawings]

[0022] [Figure 1] FIG. 1 is a diagram showing the configuration of an ammonia fuel cell vehicle control device according to an embodiment of the present disclosure and the functions of a device controller. [Diagram 2] FIG. 2 is a diagram showing a configuration diagram of a vehicle control device for an ammonia fuel cell according to an embodiment of the present disclosure. [Diagram 3] FIG. 3 is a flowchart illustrating an ammonia fuel cell vehicle control method according to an embodiment of the present disclosure. [Figure 4] FIG. 4 is a diagram showing the concept of a method for controlling an ammonia fuel cell vehicle according to an embodiment of the present disclosure. [Diagram 5] FIG. 5 is a diagram showing a vehicle control device for an ammonia fuel cell according to an embodiment of the present disclosure mounted on a vehicle. [Figure 6] FIG. 6 illustrates an interface that allows adjustment of the ammonia feed rate according to one embodiment of the present disclosure. [Figure 7] FIG. 7 is a diagram illustrating the calculation of expected hydrogen pressure and consumption based on the internal state information of the ammonia tank according to one embodiment of the present disclosure. [Figure 8] FIG. 8 is a diagram showing a configuration diagram of a vehicle control device for an ammonia fuel cell according to an embodiment of the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] Hereinafter, embodiments of the present disclosure will be described in more detail with reference to the drawings. However, these embodiments are merely illustrative of the present disclosure and are not intended to limit the present disclosure.

[0024] The same reference numerals refer to the same components throughout this disclosure. This disclosure does not describe all elements of the embodiments, and general content in the technical field to which the disclosure belongs or content that is duplicated in the embodiments will be omitted. The term "part, module, member, block" used in the specification can be embodied in software or hardware, and depending on the embodiment, multiple "parts, modules, members, blocks" may be embodied as one component, or one "part, module, member, block" may include multiple components.

[0025] Throughout the specification, when a part is referred to as being "coupled" to another part, this includes not only direct coupling but also indirect coupling, including coupling via a wireless communication network.

[0026] Furthermore, unless otherwise specified, when a part "comprises" a certain component, it does not exclude other components but means that the part may further include other components.

[0027] Throughout the specification, a member is referred to as being "on" another member not only when the member is in contact with the other member, but also when there is another member between the two members.

[0028] The terms "first", "second", etc. are used only to distinguish one component from another component, and are not intended to limit the components.

[0029] The singular expression includes the plural expression unless the context clearly indicates otherwise.

[0030] The identification numbers in each step are used for ease of description and do not dictate the order of each step, and each step may be performed in a manner different from the stated order unless the context clearly dictates a particular order.

[0031] The vehicle control device for an ammonia fuel cell according to the present disclosure may be embodied not only as a server system but also as various devices capable of performing arithmetic processing and providing a result to a user. For example, the vehicle control device for an ammonia fuel cell according to the present disclosure may include all of a computer, a server device, and a portable terminal, or may be in any form.

[0032] Here, the computer may include, for example, a notebook computer, a desktop computer, a laptop computer, a tablet PC, a slate PC, etc. equipped with a web browser.

[0033] The server device is a server that communicates with external devices and processes information, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy server, a web server, etc.

[0034] The portable terminal is, for example, a wireless communication device that ensures portability and mobility, and may include all kinds of handheld-based wireless communication devices such as PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), WiBro (Wireless Broadband Internet) terminals, and smartphones, as well as wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted devices (HMDs).

[0035] The vehicle control and related functions according to the present disclosure operate via a processor and a memory. The processor may be configured with one or more processors. In this case, the one or more processors may be a general-purpose processor such as a CPU, AP, or DSP (Digital Signal Processor), a dedicated graphics processor such as a GPU or VPU (Vision Processing Unit), or a dedicated artificial intelligence processor such as an NPU. The one or more processors control the input data to be processed according to predefined operating rules or an artificial intelligence model stored in the memory. In addition, when the one or more processors are dedicated artificial intelligence processors, the dedicated artificial intelligence processors may be designed with a hardware structure specialized for processing a specific artificial intelligence model.

[0036] The predefined operation rules or artificial intelligence models are characterized by being created through learning. Here, "created through learning" means that a predefined operation rule or artificial intelligence model is created that is set to perform a desired characteristic (or purpose) by learning a basic artificial intelligence model using a large amount of learning data through a learning algorithm. Such learning may be performed in the device itself on which the artificial intelligence according to the present disclosure is executed, or may be performed via a separate server and / or system. Examples of the learning algorithm include supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but are not limited to the above examples.

[0037] The artificial intelligence model may be composed of a plurality of neural network layers. Each of the plurality of neural network layers has a plurality of weight values, and performs a neural network operation through an operation result of a previous layer and an operation between the plurality of weights. The plurality of weights of the plurality of neural network layers may be optimized according to a learning result of the artificial intelligence model. For example, the plurality of weights may be updated so that a loss value or a cost value acquired from the artificial intelligence model during the learning process is reduced or minimized. The artificial neural network may include a deep neural network (DNN), such as a convolutional neural network (CNN), a deep neural network (DNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), or a deep Q-network, but is not limited to the above examples.

[0038] The processor may generate a neural network, train or learn a neural network, perform operations based on received input data and generate an information signal based on the results of the operations, or retrain a neural network.

[0039] Neural networks include CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), perceptron, multilayer perceptron, FF (Feed Forward), RBF (Radial Basis Network), DFF (Deep Feed Forward), LSTM (Long Short Term Memory), GRU (Gated Recurrent Unit), AE (Auto Encoder), VAE (Variational Auto Encoder), DAE (Denoising Auto Encoder), SAE (Sparse Auto Encoder), MC (Markov Chain), HN (Hopfield Network), BM (Boltzmann Machine), RBM (Restricted Boltzmann Machine), DBN (Deep Belief Network), DCN (Deep Convolutional Network), DN (Deconvolutional Network), DCIGN (Deep Convolutional Inverse Graphics Network), GAN (Generative Adversarial Network), LSM (Liquid A person of ordinary skill in the art would understand that the neural network may include, but is not limited to, any neural network, such as, but not limited to, an ELM (Extreme Learning Machine), an ESN (Echo State Network), a DRN (Deep Residual Network), a DNC (Differentiable Neural Computer), a NTM (Neural Turning Machine), a CN (Capsule Network), a KN (Kohonen Network), and an AN (Attention Network).

[0040] According to an exemplary embodiment of the present disclosure, the processor may implement a number of neural networks, including Convolution Neural Networks (CNNs) such as GoogleNet, AlexNet, and VGG Network, Region with Convolution Neural Network (R-CNN), Region Proposal Network (RPN), Recurrent Neural Network (RNN), Stacking-based deep Neural Network (S-DNN), State-Space Dynamic Neural Network (S-SDNN), Deconvolution Network, Deep Belief Network (DBN), Restricted Boltzman Machine (RBM), Fully Convolutional Network, Long Short-Term Memory (LSTM) Network, Classification Network, Generative Modeling, eXplainable AI, Continual AI, Representation Learning, AI for Material Design, BERT, SP-BERT, MRC / QA, Text Analysis, Dialog System, GPT-3, GPT-4 for Natural Language Processing, Visual Analytics, Visual Understanding, Video Synthesis, ResNet for Data Intelligence, Anomaly Detection, Prediction, Time-Series Various artificial intelligence structures and algorithms may be used, including but not limited to, forecasting, optimization, recommendation, data creation, etc. Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

[0041] FIG. 1 is a diagram showing the configuration of an ammonia fuel cell vehicle control device according to an embodiment of the present disclosure and the functions of a device controller.

[0042] Referring to FIG. 1, an ammonia fuel cell vehicle control device 100 may include an ammonia tank 110, a cracker 120, and a device controller .

[0043] The ammonia tank 110 is capable of storing ammonia.

[0044] The ammonia tank 110 can supply ammonia to the cracker in an amount determined according to a control command from the equipment controller 130 .

[0045] The cracker 120 can decompose the ammonia stored in the ammonia tank 110 into hydrogen.

[0046] The internal conditions of the cracker 120 can be controlled by the machine controller 130 .

[0047] Here, the internal conditions may include the temperature, pressure, humidity, flow rate, etc. of the ammonia tank.

[0048] The unit controller 130 may control at least one of the ammonia feed rate supplied to the cracker 120 and the conditions of the cracker.

[0049] The device controller 130 can calculate an expected hydrogen consumption amount based on at least one of driving information and battery information, and control at least one of the ammonia supply amount and the cracker conditions based on the calculated expected hydrogen consumption amount.

[0050] The device controller 130 may include an expected hydrogen consumption calculation unit 131 , an ammonia supply amount control unit 132 , and a cracker condition control unit 133 .

[0051] Here, the driving information may refer to vehicle operation information monitored in real time from a macroscopic perspective.

[0052] For example, the travel information may include route information, traffic information, weather information, etc. The route information may include a starting point, intermediate points, a destination, and a type of road.

[0053] Such driving information can be received from the ICU / MCU, collected using IoT sensors and GPS installed in the vehicle, or received from an external device via cellular communication.

[0054] The collection of driving information will now be described.

[0055] If driving information can be collected by the vehicle, the driving information can be collected using IoT sensors and GPS installed in the vehicle.

[0056] If the vehicle is unable to collect driving information, the device controller 130 may receive the driving information from an external device 200. Here, the external device 200 may be the driver's smartphone, notebook computer, or tablet PC.

[0057] The driving information may also include urban driving section information, highway driving section information, and traffic congestion information.

[0058] The battery information may refer to information regarding a real-time battery charging state, where the battery may refer to a battery installed in a vehicle.

[0059] For example, battery information may include information regarding battery charge, discharge state, voltage, current, and the like.

[0060] The control method can be i) a method of controlling the amount of ammonia supplied to the cracker, or ii) a method of controlling the internal conditions of the cracker.

[0061] The expected hydrogen consumption calculation unit 131 can calculate the expected hydrogen consumption based on at least one of urban driving section information, expressway driving section information, and traffic congestion information.

[0062] The estimated hydrogen consumption calculation unit 131 can calculate an estimated hydrogen consumption amount corresponding to the travel information.

[0063] When the driving information has multiple components, weights can be applied to the individual components. Here, the weights can be the same or different between the components. The sum of the weights of the components can be 1.

[0064] If w1, w2, and w3 are weights, then w1=w2=0.3, w4=0.4, where w1+w2+w3=1.

[0065] The weights can then differ between elements.

[0066] If w1, w2, and w3 are weights, then w1=0.2, w2=0.3, and w4=0.5, where w1+w2+w3=1.

[0067] For example, the predicted hydrogen consumption amount can be calculated by weighting urban driving sections, highway driving sections, traffic congestion levels, and weather conditions of the set route.

[0068] We can weight 1 city driving section with w1, 2 highway driving sections with w2, 3 traffic congestion levels with w3, and 4 weather conditions with w4, where w1+w2+w3+w4=1.

[0069] The expected hydrogen consumption can be set as f(x) = x1w1 + x2w2 + x3w3 + x4w4.

[0070] According to one embodiment of the present disclosure, the weights may be such that the most important element among the elements is weighted most heavily, with the remaining elements being weighted equally.

[0071] For example, on a snowy day, weather conditions may be the most important factor.

[0072] Weather conditions can be weighted at 0.4, while urban driving sections, highway driving sections, and traffic congestion levels can be weighted at 0.2.

[0073] According to one embodiment of the present disclosure, the predicted hydrogen consumption can be calculated by assigning the greatest weight to the most important factor among a plurality of weighting factors, thereby making it possible to calculate the predicted hydrogen consumption more efficiently.

[0074] The estimated hydrogen consumption calculation unit 131 can calculate the estimated hydrogen consumption corresponding to the battery information.

[0075] For example, the charge level of the battery can be monitored in real time and the expected hydrogen consumption rate can be calculated so that overcharging or complete discharge of the battery can be prevented.

[0076] The prevention of overcharging of the battery will now be described.

[0077] If the battery has a capacity of 100 kWh, the expected hydrogen consumption can be reduced by a predetermined percentage if the battery is charged to 90% or more of its capacity.

[0078] For example, the estimated hydrogen consumption calculation unit 131 can reduce the estimated hydrogen consumption to about 10% of the previous estimated hydrogen consumption at 30 second intervals.

[0079] The complete discharge of the battery will now be described.

[0080] If the battery has a capacity of 100 kWh, then the expected hydrogen consumption can be increased by a predetermined percentage if the battery is charged to less than 10% of its capacity.

[0081] For example, the estimated hydrogen consumption calculation unit 131 can increase the estimated hydrogen consumption to about 20% of the previous estimated hydrogen consumption at 30 second intervals.

[0082] Here, the rate at which the expected hydrogen consumption is increased can be set to be greater than the rate at which the expected hydrogen consumption is decreased.

[0083] According to one embodiment of the present disclosure, the charge level of the battery can be monitored in real time and the expected hydrogen consumption amount can be appropriately adjusted, which has the advantage of preventing the battery from being overcharged or completely discharged.

[0084] The expected hydrogen consumption calculation unit 131 can check at least one of the driving information and the battery information at a predetermined interval, and update the expected hydrogen consumption based on at least one of the driving information and the battery information.

[0085] According to an embodiment of the present disclosure, at least one of driving information and battery information that change in real time can be reflected immediately.

[0086] The ammonia supply amount control unit 132 can calculate the ammonia supply amount required to secure the calculated expected hydrogen supply amount, and control at least one of the piping and the valves so that the calculated ammonia supply amount can be supplied to the cracker 120.

[0087] The cracker condition control unit 133 can control the conditions inside the cracker so that the amount of ammonia decomposed into hydrogen in the cracker 120 does not exceed the expected hydrogen consumption amount.

[0088] Here, the internal conditions of the cracker can include temperature, pressure, humidity and flow rate.

[0089] For example, the expected hydrogen consumption can be 90 (the unit size is a relative unit and is omitted.) In addition, the range of the expected hydrogen consumption can be a predetermined range, and this predetermined range can vary depending on the environment of the vehicle control of the ammonia fuel cell.

[0090] When the amount of ammonia decomposed into hydrogen reaches 95, the amount of ammonia decomposed into hydrogen exceeds the expected hydrogen consumption amount, so the cracker condition control unit 133 can control at least one of the piping and the valves to reduce the amount of ammonia decomposed into hydrogen to 90.

[0091] The cracker condition control unit 133 can control the internal conditions of the cracker so that the amount of ammonia decomposed into hydrogen in the cracker 120 does not fall below the expected hydrogen consumption amount.

[0092] For example, when the amount of ammonia decomposed into hydrogen reaches 85, the amount of ammonia decomposed into hydrogen does not reach the range of the expected hydrogen consumption amount, so the cracker condition control unit 133 can control at least one of the piping and the valves to increase the amount of ammonia decomposed into hydrogen to 90.

[0093] Next, one embodiment of the expected hydrogen consumption amount according to the present disclosure will be described.

[0094] Referring to the bottom portion 60 of FIG. 1, the device controller 130 may calculate an expected hydrogen consumption amount 30 based on at least one of the driving information 10 and the battery information 20 .

[0095] Based on the calculated expected hydrogen consumption 30, at least one of the ammonia feed rate 40 and the cracker conditions 50 can be controlled.

[0096] According to one embodiment of the present disclosure, rather than simply calculating the predicted hydrogen consumption amount, the method can return to the beginning again based on the predicted hydrogen consumption amount, control the ammonia supply amount and cracker conditions, and reflect feedback, thereby providing an improved ammonia fuel cell vehicle control method.

[0097] FIG. 2 is a diagram showing a configuration diagram of a vehicle control device for an ammonia fuel cell according to an embodiment of the present disclosure.

[0098] Referring to FIG. 2, the ammonia fuel cell vehicle control device 100 may include a communication unit 105, an ammonia tank 110, a cracker 120, a device controller 130, a display 140, an input unit 150, a memory 160, and a camera 170.

[0099] The communication unit 105 can transmit and receive data to and from the external device 200. Here, the external device 200 can include a smartphone, a PC, a notebook computer, a tablet PC, and the like.

[0100] The ammonia tank 110 is capable of storing ammonia.

[0101] The cracker 120 can decompose the ammonia stored in the ammonia tank 110 into hydrogen.

[0102] The unit controller 130 may control at least one of the ammonia feed rate supplied to the cracker 120 and the conditions of the cracker.

[0103] The device controller 130 can calculate an expected hydrogen consumption amount based on at least one of driving information and battery information, and control at least one of the ammonia supply amount and the cracker conditions based on the calculated expected hydrogen consumption amount.

[0104] The display 140 is capable of displaying graphic images according to control instructions from the device controller 130 .

[0105] The input unit 150 can sense the internal state information of the ammonia tank 110 .

[0106] Here, the internal state information may include at least one of the temperature, pressure, and humidity of the ammonia tank 110.

[0107] The memory 160 can store ammonia feed rates, cracker conditions, projected hydrogen consumption rates, internal state information, graphic images, and the like, according to control commands from the plant controller 130 .

[0108] The camera 170 is capable of capturing images of the area in front of the vehicle according to control instructions from the device controller 130 .

[0109] However, the components shown in FIG. 2 are not essential to realizing the ammonia fuel cell vehicle control device 100 according to the present disclosure, and therefore the ammonia fuel cell vehicle control device 100 described herein may have more or less components than those listed above.

[0110] The communication unit 105 may include one or more components that enable communication with external devices, and may include, for example, at least one of a broadcast receiving module, a wired communication module, a wireless communication module, a short-range communication module, and a location information module.

[0111] The input unit 150 is for inputting video information (or signals), audio information (or signals), data, or information input by a user, and may include at least one camera, at least one microphone, and at least one user input unit. The audio and image data collected by the input unit 150 may be analyzed and processed according to user control commands.

[0112] The display 140 displays (outputs) information processed in the ammonia fuel cell vehicle control device 100. For example, the ammonia fuel cell vehicle control device 100 can display execution screen information of an application program (as an example, an application) being driven, or UI (User Interface) or GUI (Graphic User Interface) information corresponding to such execution screen information.

[0113] The memory 160 can store data supporting various functions of the ammonia fuel cell vehicle control device 100 and programs for the operation of the control unit, can store input / output data (e.g., music files, still images, videos, etc.), and can store a number of application programs (or applications) operated by the AI-based user behavior pattern analysis device 100, and data and commands for the operation of the device. At least some of these application programs can be downloaded from an external server via wireless communication.

[0114] The memory 160 may include at least one of the following types of storage media: flash memory type, hard disk type, solid state disk type, silicon disk drive type, multimedia card micro type, card type memory (e.g., SD or XD memory), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, and optical disk. The memory 160 may be a database that is separate from the ammonia fuel cell vehicle control device 100 but is connected by wire or wirelessly, or may be embodied as a database system.

[0115] The device controller 130 may be implemented as a memory including at least one core that stores data for an algorithm or a program that reproduces the algorithm for controlling the operation of components in the ammonia fuel cell vehicle control device 100, and at least one processor (not shown) that performs the above-mentioned operations using the data stored in the memory. In this case, the memory and the processor may be implemented as separate chips. Alternatively, the memory and the processor may be implemented as a single chip.

[0116] In addition, the device controller 130 can control any one or a combination of the components discussed above to implement various embodiments of the present disclosure described below in Figures 3 to 8 on the ammonia fuel cell vehicle control device 100.

[0117] At least one component may be added or removed depending on the performance of the components shown in Fig. 2. In addition, it will be easily understood by a person having ordinary skill in the art that the relative positions of the components may be changed depending on the performance or structure of the system.

[0118] Meanwhile, each component shown in FIG. 2 may represent software and / or hardware components such as a Field Programmable Gate Array (FPGA) and an Application Specific Integrated Circuit (ASIC).

[0119] 3 is a diagram showing a flowchart of an ammonia fuel cell vehicle control method according to an embodiment of the present disclosure. The embodiment of the present disclosure can be performed by an ammonia fuel cell vehicle control device 100.

[0120] The ammonia may be stored in an ammonia tank (S310).

[0121] The ammonia stored in the ammonia tank can be decomposed into hydrogen (S320).

[0122] At least one of the ammonia feed rate fed to the cracker and the conditions of the cracker can be controlled (S330).

[0123] An expected hydrogen consumption amount may be calculated based on at least one of the driving information and the battery information (S340).

[0124] At least one of the ammonia feed rate and the cracker conditions can be controlled based on the calculated expected hydrogen consumption rate (S350).

[0125] FIG. 4 is a diagram showing the concept of a method for controlling an ammonia fuel cell vehicle according to an embodiment of the present disclosure.

[0126] Referring to FIG. 4, the ammonia tank 110 can store ammonia (NH3).

[0127] The cracker 120 can decompose the ammonia (NH3) stored in the ammonia tank 110 into hydrogen (H2) and nitrogen (N2).

[0128] Of hydrogen and nitrogen, hydrogen (H2) can be supplied to the fuel cell 500.

[0129] The fuel cell 500 can generate electricity 400 to power the vehicle 1000 .

[0130] FIG. 5 is a diagram showing a vehicle control device for an ammonia fuel cell according to an embodiment of the present disclosure mounted on a vehicle.

[0131] Referring to FIG. 5, a vehicle 1000 can be equipped with an ammonia fuel cell vehicle control device 100.

[0132] The ammonia fuel cell vehicle control system 100 can include an ammonia tank 110, a cracker 120, and a system controller 130.

[0133] For example, the ammonia tank 110 may be mounted underneath the vehicle 1000 .

[0134] The cracker 120 can be mounted behind the driver's seat of the vehicle 1000 .

[0135] The device controller 130 may be mounted behind the driver's seat of the vehicle 1000 .

[0136] The fuel cell 500 can be mounted on the side of the vehicle 1000 .

[0137] 6 is a diagram showing an interface capable of adjusting the amount of ammonia supply according to an embodiment of the present disclosure. FIG. 6 includes FIG. 6(a) and FIG. 6(b).

[0138] FIG. 6(a) is a diagram showing a user's selection of automatic control and manual control in adjusting the amount of ammonia supplied.

[0139] FIG. 6(b) is a diagram showing the user selecting manual control in adjusting the amount of ammonia supplied.

[0140] Referring to FIG. 6(a), the device controller 130 allows the user 10 to display on a screen 610 an automatic control icon 612 or a manual control icon 614 for controlling the amount of ammonia supply.

[0141] Upon receiving an input selecting the automatic control icon 612, the machine controller 130 may automatically control the ammonia feed rate.

[0142] Upon receiving an input selecting the manual control icon 614, a screen (620) may be displayed that controls the ammonia feed rate according to input from the user, as shown in FIG. 6(b).

[0143] Referring to FIG. 6(b), upon receiving an input from the user selecting icon 622 indicating an increase, the device controller 130 may increase the amount of ammonia supplied.

[0144] Referring to FIG. 6(b), upon receiving an input from the user selecting the icon 624 for decrease, the device controller 130 may decrease the amount of ammonia feed.

[0145] According to one embodiment of the present disclosure, by displaying an interface on a screen that allows a user to adjust the amount of ammonia supplied, the user can more easily adjust the amount of ammonia supplied, and there is an advantage that the amount of ammonia supplied can be adjusted automatically or manually.

[0146] FIG. 7 is a diagram illustrating the calculation of expected hydrogen pressure and consumption based on the internal state information of the ammonia tank according to one embodiment of the present disclosure.

[0147] 7, the input unit 150 can sense the internal state of the ammonia tank 110. The input unit 150 can include a sensor unit.

[0148] Here, the internal state information may include the temperature, pressure, and humidity of the ammonia tank.

[0149] The device controller 130 may calculate the expected hydrogen consumption amount based on at least one of the driving information, the battery information, and the sensed internal state information.

[0150] Additionally, the expected hydrogen consumption may be calculated taking into account at least one of the temperature, pressure, and humidity of the ammonia tank.

[0151] According to one embodiment of the present disclosure, in addition to driving information and battery information, the predicted hydrogen consumption can be calculated based on internal state information of the ammonia tank, which has the advantage of allowing the predicted hydrogen consumption to be calculated more accurately.

[0152] FIG. 8 is a diagram showing a configuration diagram of a vehicle control device for an ammonia fuel cell according to an embodiment of the present disclosure.

[0153] 8, the vehicle control device for an ammonia fuel cell may include a device 1600. The device 1600 may include a memory 1602, a processor 1603, a transceiver 1604, and a peripheral device 1601. In addition, as an example, the device 1600 may further include other components and is not limited to the above-mentioned embodiment.

[0154] More specifically, the device 1600 in FIG. 8 may be an exemplary hardware / software architecture of an NDN device, an NDN server, a content router, etc. In this case, as an example, the memory 1602 may be a non-movable memory or a movable memory. Also, as an example, the peripheral device 1601 may include a display, a GPS, or other peripheral devices, and is not limited to the above-mentioned embodiment.

[0155] Also, as an example, the device 1600 described above may include a communication circuit such as the transceiver 1604, and may communicate with an external device based on this.

[0156] Also, by way of example, the processor 1603 may be at least one of a general-purpose processor, a digital signal processor (DSP), a DSP core, a controller, a microcontroller, an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) circuit, any other type of integrated circuit (IC), and one or more microprocessors associated with a state machine, i.e., a hardware / software configuration that performs a control role for controlling the device 1600 described above.

[0157] At this time, the processor 1603 may execute computer-executable instructions stored in the memory 1602 to perform various required functions of the node. As an example, the processor 1603 may control at least one of signal coding, data processing, power control, input / output processing, and communication operations. In addition, the processor 1603 may control a physical layer, a MAC layer, and an application layer. As an example, the processor 1603 may perform authentication and security procedures in an access layer and / or an application layer, and is not limited to the above-mentioned embodiments.

[0158] As an example, the processor 1603 may communicate with other devices via the transceiver 1604. As an example, the processor 1603 may control the node to communicate with other nodes via a network through execution of computer-executable instructions. That is, the processor 1603 may control the communication performed in one embodiment of the present disclosure. As an example, the other node may be an NDN server, a content router, and other different devices. As an example, the transceiver 1604 may transmit an RF signal via an antenna and may transmit a signal based on various communication networks.

[0159] As an example, the antenna technology may be MIMO technology, beamforming, or the like, and is not limited to the above-mentioned embodiment. Furthermore, the signal transmitted and received via the transmitting / receiving unit 1604 may be modulated and demodulated and controlled by the processor 1603, and is not limited to the above-mentioned embodiment.

[0160] The various embodiments of the present disclosure are not intended to list all possible combinations, but are intended to describe representative aspects of the present disclosure, and the matters described in the various embodiments may be applied independently or in combination of two or more.

Claims

1. In a vehicle control device for an ammonia fuel cell, an ammonia tank for storing ammonia; a cracker that decomposes the ammonia stored in the ammonia tank into hydrogen; a device controller for controlling at least one of an ammonia feed rate supplied to the cracker and a condition of the cracker; The device controller includes: Calculating an expected hydrogen consumption amount based on at least one of the driving information and the battery information; controlling at least one of the ammonia feed rate and the cracker conditions based on the calculated expected hydrogen consumption rate; Vehicle control device for ammonia fuel cell.

2. The device controller includes:

2. The vehicle control device for an ammonia fuel cell according to claim 1, comprising: an expected hydrogen consumption calculation unit; an ammonia supply amount control unit; and a cracker condition control unit.

3. The driving information is urban driving section information, expressway driving section information, and traffic congestion information; The predicted hydrogen consumption calculation unit 3. The vehicle control device for an ammonia fuel cell according to claim 2, wherein the predicted hydrogen consumption amount is calculated based on at least one of urban driving section information, highway driving section information, and traffic congestion information.

4. The ammonia supply amount control unit is Calculate the amount of ammonia supply required to ensure the calculated expected amount of hydrogen supply; 3. The vehicle control device for an ammonia fuel cell according to claim 2, further comprising: a control unit for controlling at least one of piping and valves so that the calculated amount of ammonia supply can be supplied to the cracker.

5. The cracker condition control unit includes:

3. The vehicle control device for an ammonia fuel cell according to claim 2, further comprising: controlling conditions inside the cracker so that the amount of ammonia decomposed into hydrogen in the cracker does not exceed the expected hydrogen consumption amount.

6. The predicted hydrogen consumption calculation unit is Checking at least one of the driving information and the battery information at a predetermined periodic interval; The system of claim 2 , further comprising: updating an expected hydrogen consumption amount based on at least one of the driving information and the battery information.

7. a display for displaying a graphic image; The device controller includes: Displaying an icon on the display that allows a user to select automatic control or manual control of the ammonia supply amount; automatically controlling the ammonia feed rate upon receiving an automatic control input; 2. The ammonia fuel cell vehicle control device of claim 1, wherein upon receiving a manual control input, the device controls the ammonia supply rate in response to input from a user.

8. The ammonia tank further includes an input unit for sensing internal state information of the ammonia tank, The device controller includes:

2. The vehicle control device for an ammonia fuel cell according to claim 1, further comprising: a predicted hydrogen consumption amount calculated based on at least one of the driving information, the battery information, and the sensed internal state information.

9. The internal state information is The vehicle control system for an ammonia fuel cell according to claim 8 , comprising at least one of the temperature, pressure, and humidity of the ammonia tank.

10. A method for controlling an ammonia fuel cell vehicle, the method comprising: storing the ammonia in an ammonia tank; decomposing the ammonia stored in the ammonia tank into hydrogen; controlling at least one of an ammonia feed rate provided to a cracker and a condition of the cracker; Calculating an expected hydrogen consumption amount based on at least one of driving information and battery information; and controlling at least one of the ammonia feed rate and the cracker conditions based on the calculated expected hydrogen consumption rate. A method for controlling an ammonia fuel cell vehicle.

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