Ammonia fuel cell vehicle control device and ammonia fuel cell vehicle control method

Abstract

The present disclosure relates to an ammonia fuel cell vehicle control apparatus and an ammonia fuel cell vehicle control method, which store ammonia in an ammonia tank, decompose the ammonia stored in the ammonia tank into hydrogen, control at least one of an amount of ammonia supplied to a decomposer and a condition of the decomposer, and control the amount of ammonia supplied to the decomposer. A predicted hydrogen consumption amount is calculated based on at least one of travel information and battery information, and at least one of the ammonia supply amount and a condition of the resolver is controlled based on the calculated predicted hydrogen consumption amount.

Description

Technical Field

[0001] This disclosure relates to a control device and a control method for ammonia fuel cell vehicles. Background Technology

[0002] In recent years, there has been a trend of traditional gasoline-powered vehicles being replaced by vehicles using other fuels. Among these other fuels, ammonia fuel cell vehicles have attracted considerable attention. An ammonia fuel cell is a device that generates electricity and heat by reforming ammonia into hydrogen and supplying it as fuel. Liquefied ammonia, a compound of hydrogen and nitrogen, is easy to transport and store, and has low carbon emissions, making it a popular choice as an environmentally friendly energy source. Using ammonia fuel, which has high energy density and is environmentally friendly, to activate reforming systems is considered a transitional alternative towards a carbon-neutral society.

[0003] In recent years, more advanced technologies related to ammonia fuel cells have been developed. Many companies have been developing technologies to convert ammonia into hydrogen for use in large-scale equipment such as charging stations.

[0004] However, current technologies mainly focus on methods that simply convert ammonia into hydrogen. This conversion requires extremely high temperatures and numerous auxiliary devices, making large-scale equipment unavoidable. Furthermore, insufficient analysis of vehicle status, driving information, and battery data prevents the calculation of optimal predicted hydrogen consumption, leading to excessive hydrogen consumption. Summary of the Invention

[0005] (a) Technical problems to be solved

[0006] According to one aspect of this disclosure, an ammonia fuel cell vehicle control device may be provided, which uses at least one of driving information and battery information to control the ammonia fuel cell system to stabilize the ammonia decomposition rate of the cracker and minimize residual ammonia while the vehicle equipped with the ammonia fuel cell is in operation.

[0007] According to one aspect of this disclosure, an ammonia fuel cell vehicle control device may be provided, which calculates the hydrogen consumption required for vehicle operation based on at least one of driving information and battery information, and controls the vehicle according to the predicted hydrogen consumption.

[0008] According to one aspect of this disclosure, when a vehicle equipped with an ammonia fuel cell is in operation, only the required hydrogen can be produced, which can improve battery efficiency, thereby contributing to environmental protection and the generation of clean energy.

[0009] According to one aspect of this disclosure, controlling the ammonia supply to the decomposer to an optimal level can prevent battery overcharging or the generation of residual ammonia due to the supply of unnecessary ammonia, thereby contributing to environmental protection and the generation of clean energy.

[0010] (II) Technical Solution

[0011] An ammonia fuel cell vehicle control device according to an embodiment of the present disclosure may include: an ammonia tank for storing ammonia; a decomposer for decomposing the ammonia stored in the ammonia tank into hydrogen; and a device controller for controlling at least one of the ammonia supply to the decomposer and the conditions of the decomposer, wherein the device controller may calculate a predicted hydrogen consumption based on at least one of driving information and battery information, and control at least one of the ammonia supply and the conditions of the decomposer based on the calculated predicted hydrogen consumption.

[0012] According to one embodiment, the device controller may include a hydrogen consumption prediction calculation unit, an ammonia supply control unit, and a decomposer condition control unit.

[0013] According to one embodiment, the driving information may include urban driving segment information, highway driving segment information, and traffic congestion information, and the hydrogen consumption prediction calculation unit may calculate and predict hydrogen consumption based on at least one of the urban driving segment information, highway driving segment information, and traffic congestion information.

[0014] According to one embodiment, the ammonia supply control unit can calculate the amount of ammonia required to ensure the calculated predicted hydrogen supply, and can control at least one of the pipes and valves to supply the calculated ammonia supply to the decomposer.

[0015] According to one embodiment, the decomposer condition control unit can control the internal conditions of the decomposer such that the amount of ammonia decomposed into hydrogen within the decomposer does not exceed the predicted hydrogen consumption.

[0016] According to one embodiment, the predicted hydrogen consumption calculation unit can check at least one of the driving information and the battery information at predetermined periodic intervals, and can update the predicted hydrogen consumption based on at least one of the driving information and the battery information.

[0017] According to one embodiment, the ammonia fuel cell vehicle control device according to this disclosure may further include: a display for displaying graphic images, wherein the device controller may display icons on the display for a user to select whether to control the ammonia supply in an automatic or manual control manner; when receiving an input for automatic control, the device controller may automatically control the ammonia supply; when receiving an input for manual control, the device controller may control the ammonia supply according to the user's input.

[0018] According to one embodiment, the ammonia fuel cell vehicle control device according to the present disclosure may further include: an input unit that senses internal state information of the ammonia tank, and the device controller that can calculate and predict hydrogen consumption based on at least one of the driving information, the battery information, and the sensed internal state information.

[0019] According to one embodiment, the internal status information may include at least one of the temperature, pressure, and humidity of the ammonia tank.

[0020] A method for controlling an ammonia fuel cell vehicle according to an embodiment of the present disclosure may include the following steps: storing ammonia in an ammonia tank; decomposing the ammonia stored in the ammonia tank into hydrogen; controlling at least one of the ammonia supply to a decomposer and the conditions of the decomposer; calculating a predicted hydrogen consumption based on at least one of driving information and battery information; and controlling at least one of the ammonia supply and the conditions of the decomposer based on the calculated predicted hydrogen consumption.

[0021] (III) Beneficial Effects

[0022] According to one embodiment of this disclosure, when a vehicle equipped with an ammonia fuel cell is in operation, only the required hydrogen can be produced, thereby improving battery efficiency.

[0023] According to one embodiment of this disclosure, the amount of ammonia supplied to the decomposer is controlled at an optimal level, thereby preventing battery overcharging or the generation of residual ammonia due to the supply of unnecessary ammonia.

[0024] According to one embodiment of this disclosure, the conditions of the decomposer are controlled based on the predicted hydrogen consumption, thereby stabilizing the ammonia decomposition rate. Attached Figure Description

[0025] Figure 1 This is a diagram illustrating the configuration of an ammonia fuel cell vehicle control device and the function of the device controller according to an embodiment of the present disclosure.

[0026] Figure 2 This is a configuration diagram of an ammonia fuel cell vehicle control device according to an embodiment of the present disclosure.

[0027] Figure 3 This is a flowchart of an ammonia fuel cell vehicle control method according to an embodiment of the present disclosure.

[0028] Figure 4 This is a diagram illustrating the concept of an ammonia fuel cell vehicle control method according to an embodiment of the present disclosure.

[0029] Figure 5 This is a diagram showing an ammonia fuel cell vehicle control device installed on a vehicle according to an embodiment of the present disclosure.

[0030] Figure 6 This is a diagram illustrating an interface for adjusting the ammonia supply according to an embodiment of the present disclosure.

[0031] Figure 7 This is a diagram illustrating the calculation of predicted hydrogen pressure and predicted hydrogen consumption based on the internal state information of an ammonia tank according to an embodiment of the present disclosure.

[0032] Figure 8 This is a configuration diagram of an ammonia fuel cell vehicle control device according to an embodiment of the present disclosure. Detailed Implementation

[0033] The present disclosure will now be described in detail with reference to the accompanying drawings. However, this is merely exemplary, and the present disclosure is not limited to the specific embodiments illustrated herein.

[0034] In this disclosure, the same reference numerals refer to the same components. This disclosure does not describe all elements of the embodiments, and omit general content in the technical field to which this disclosure pertains or content repeated between embodiments. The terms "unit, module, component, block" as used in the specification can be implemented by software or hardware, and according to embodiments, multiple "units, modules, components, blocks" can be implemented by a single component, or a "unit, module, component, block" can include multiple components.

[0035] Throughout the specification, when one part is referred to as "connected" to another part, this includes not only direct connections but also indirect connections, including connections via wireless communication networks.

[0036] Additionally, when a section is referred to as "including" a component, unless otherwise specified, this means that other components may be included, rather than excluded.

[0037] Throughout the specification, when one component is "on" another component, this includes not only cases where one component is in contact with another component, but also cases where there are other components between the two components.

[0038] Terms such as “first” and “second” are used to distinguish one component from another, but the components are not limited by the terms mentioned above.

[0039] Unless the context clearly indicates otherwise, singular expressions include plural expressions.

[0040] The reference numerals for each step are for illustrative purposes only and do not indicate the order of the steps. Unless the context clearly indicates a specific order, the steps may be performed in a different order than specified.

[0041] In this specification, the ammonia fuel cell vehicle control device includes a server system and all devices capable of performing computational processing and providing results to the user. For example, the ammonia fuel cell vehicle control device according to this disclosure may include a computer, a server device, and a portable terminal, or any of these forms.

[0042] Here, computers can include, for example, laptops, desktops, laptops, tablet PCs, slate PCs, etc., equipped with a web browser.

[0043] Server devices are servers that process information by communicating with external devices. They can include application servers, computing servers, database servers, file servers, game servers, mail servers, proxy servers, network servers, etc.

[0044] Portable terminals are wireless communication devices that ensure portability and mobility, and may include all types of handheld 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, smartphones, and wearable devices such as watches, rings, bracelets, anklets, necklaces, glasses, contact lenses, or head-mounted devices (HMDs).

[0045] The artificial intelligence-related functions according to this disclosure are operated by a processor and memory. The processor may consist of one or more processors. In this case, the one or more processors may be general-purpose processors such as CPUs (Central Processing Units), APs, or DSPs (Digital Signal Processors), graphics-specific processors such as GPUs (Graphics Processing Units) or VPUs (Vision Processing Units), or AI-specific processors such as NPUs (Neural Processing Units). The one or more processors are controlled to process input data according to predefined operating rules or AI models stored in memory. Alternatively, when the one or more processors are AI-specific processors, the AI-specific processors may be designed with a hardware architecture specifically for processing a particular AI model.

[0046] The characteristic of predefined operating rules or artificial intelligence models is that they are established through learning. Here, "established through learning" means that the basic artificial intelligence model learns from a large amount of learning data using a learning algorithm, thereby establishing predefined operating rules or artificial intelligence models to perform desired characteristics (or purposes). This learning can be performed on the device itself performing the artificial intelligence according to this disclosure, or it can be performed via a separate server and / or system. Examples of learning algorithms include, but are not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning.

[0047] Artificial intelligence models can consist of multiple neural network layers. Each layer in the neural network has multiple weight values, and neural network operations are performed through operations between the results of the previous layer and these weight values. The multiple weight values ​​of the multiple neural network layers can be optimized based on the learning results of the artificial intelligence model. For example, during the learning process, multiple weight values ​​can be updated to reduce or minimize the loss or cost values ​​obtained from the artificial intelligence model. Artificial neural networks can include deep neural networks (DNNs), such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), restricted Boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), or deep Q-networks, but are not limited to the examples mentioned above.

[0048] Processors can generate neural networks, train or learn neural networks, perform operations based on received input data, generate information signals based on the execution results, or retrain neural networks.

[0049] Neural networks can 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). Network), DN (Deconvolutional Network), DCIGN (Deep Convolutional Inverse Graphics Network), GAN (Generative Adversarial Network), LSM (Liquid State Machine), ELM (Extreme Learning Machine), ESN (Echo State Network), DRN (Deep Residual Network), DNC (Differentiable Neural Computer), NTM (Neural Turing Machine), CN (Capsule Network), KN (Kohonen Network), and AN (Attention Network), but not limited thereto, as those skilled in the art will understand, can include any neural network.

[0050] According to exemplary embodiments of this disclosure, the processor can utilize networks such as GoogleNet, AlexNet, VGG, CNN (Convolutional Neural Network), R-CNN (Region with Convolution Neural Network), RPN (Region Proposal Network), RNN (Recurrent Neural Network), S-DNN (Stacking-based Deep Neural Network), S-SDNN (State-Space Dynamic Neural Network), Deconvolution Network, DBN (Deep Belief Network), RBM (Restricted Boltzmann Machine), Fully Convolutional Network, LSTM (Long Short-Term Memory) network, Classification Network, Generative Modeling, Explainable AI, Continual AI, and Representation Learning. AI architectures and algorithms, including but not limited to those used in learning, materials design, BERT, SP-BERT, MRC / QA for natural language processing, text analysis, dialogue systems, GPT-3, GPT-4, visual analytics, visual understanding, video synthesis, anomaly detection, prediction, time-series forecasting, optimization, recommendation, and data creation for ResNet data intelligence, are also included. The embodiments of this disclosure will now be described in detail with reference to the accompanying drawings.

[0051] Figure 1This is a diagram illustrating the configuration of an ammonia fuel cell vehicle control device and the function of the device controller according to an embodiment of the present disclosure.

[0052] Reference Figure 1 The ammonia fuel cell vehicle control device 100 may include an ammonia tank 110, a decomposer 120, and a device controller 130.

[0053] Ammonia tank 110 can store ammonia.

[0054] Ammonia tank 110 can supply ammonia to the decomposer at an amount determined by control commands from device controller 130.

[0055] The decomposer 120 can decompose the ammonia stored in the ammonia tank 110 into hydrogen.

[0056] The internal conditions of the decomposer 120 can be controlled by the device controller 130.

[0057] Here, internal conditions may include the temperature, pressure, humidity, and flow rate of the ammonia tank.

[0058] The device controller 130 can control at least one of the ammonia supply to the decomposer 120 and the conditions of the decomposer.

[0059] The device controller 130 can calculate and predict hydrogen consumption based on at least one of driving information and battery information, and control at least one of the ammonia supply and the conditions of the decomposer based on the calculated predicted hydrogen consumption.

[0060] The device controller 130 may include a hydrogen consumption prediction calculation unit 131, an ammonia supply control unit 132, and a decomposer condition control unit 133.

[0061] Here, driving information can refer to the real-time monitoring of vehicle operation information from a macroscopic perspective.

[0062] For example, driving information can include route information, traffic information, weather information, etc. Route information can include origin, transit points, destination, and road type.

[0063] Such driving information can be received from the ICU / MCU (Instrument Control Module / Microcontroller Unit), or collected using Internet of Things (IoT) sensors or GPS installed on the vehicle, or received from external devices via cellular communication.

[0064] The following is an explanation of how to collect driving information.

[0065] When a vehicle is able to collect driving information, it can utilize IoT sensors and GPS installed on the vehicle to collect driving information.

[0066] When the vehicle is unable to collect driving information, the device controller 130 can receive driving information from an external device 200. Here, the external device 200 can be the driver's smartphone, laptop, or tablet PC.

[0067] In addition, driving information can include urban driving route information, highway driving route information, and traffic congestion information.

[0068] Battery information can refer to real-time information about the battery's charging status. Here, "battery" can refer to the battery installed in the vehicle.

[0069] For example, battery information may include information about the battery's charging status, discharging status, voltage, current, etc.

[0070] The control methods can be i) controlling the amount of ammonia supplied to the decomposer or ii) controlling the internal conditions of the decomposer.

[0071] The hydrogen consumption prediction calculation unit 131 can calculate and predict hydrogen consumption based on at least one of urban driving segment information, highway driving segment information, and traffic congestion information.

[0072] The hydrogen consumption prediction calculation unit 131 can calculate the predicted hydrogen consumption corresponding to the driving information.

[0073] When multiple driving information elements exist, weight values ​​can be applied to each element. Here, the weight values ​​between elements can be partially the same or partially different. The sum of the weight values ​​of the elements can be 1.

[0074] If w1, w2, and w3 are weight values, then w1 = w2 = 0.3 and w4 = 0.4. Here, w1 + w2 + w3 = 1.

[0075] Next, the weight values ​​of the elements can be different.

[0076] If w1, w2, and w3 are weight values, then w1 = 0.2, w2 = 0.3, and w4 = 0.5. Here, w1 + w2 + w3 = 1.

[0077] For example, hydrogen consumption can be predicted by assigning weights to urban driving sections, highway driving sections, traffic congestion levels, and weather conditions along a given route.

[0078] We can assign a weight value w1 to urban driving segment x1, a weight value w2 to highway driving segment x2, a weight value w3 to traffic congestion level x3, and a weight value w4 to weather conditions x4. Here, w1+w2+w3+w4=1.

[0079] The predicted hydrogen consumption can be set as f(x) = x1w1 + x2w2 + x3w3 + x4w4.

[0080] According to one embodiment of this disclosure, the most important element can be assigned the highest weight value, and the remaining elements can be assigned equal weight values.

[0081] For example, on a snowy day, weather conditions can be the most important factor.

[0082] You can assign a weight of 0.4 to weather conditions and a weight of 0.2 to urban driving sections, highway driving sections, and traffic congestion levels.

[0083] According to one embodiment of this disclosure, the predicted hydrogen consumption can be calculated more effectively by assigning the largest weight value to the most important element among a plurality of elements.

[0084] The hydrogen consumption prediction calculation unit 131 can calculate the predicted hydrogen consumption corresponding to the battery information.

[0085] For example, the battery charge level can be monitored in real time and the predicted hydrogen consumption can be calculated to prevent the battery from being overcharged or completely discharged.

[0086] The following explains how to prevent battery overcharging.

[0087] If the battery capacity is 100kWh, when the battery is charged to more than 90% of its capacity, the predicted hydrogen consumption can be reduced by a predetermined rate.

[0088] For example, the hydrogen consumption prediction calculation unit 131 can reduce the predicted hydrogen consumption by about 10% of the previously predicted hydrogen consumption every 30 seconds.

[0089] The following explains how to prevent the battery from being completely discharged.

[0090] If the battery capacity is 100kWh, when the battery charge is less than 10% of the battery capacity, the predicted hydrogen consumption can be increased at a predetermined rate.

[0091] For example, the hydrogen consumption prediction calculation unit 131 can increase the predicted hydrogen consumption by about 20% every 30 seconds.

[0092] Here, the rate of increase in predicted hydrogen consumption can be set to be greater than the rate of decrease in predicted hydrogen consumption.

[0093] According to one embodiment of this disclosure, the predicted hydrogen consumption can be appropriately adjusted by monitoring the battery charge level in real time, thus having the advantage of preventing battery overcharging or complete battery discharge.

[0094] The hydrogen consumption prediction calculation unit 131 can check at least one of the driving information and the battery information at predetermined periodic intervals, and update the predicted hydrogen consumption based on at least one of the driving information and the battery information.

[0095] According to one embodiment of this disclosure, at least one of driving information and battery information that changes in real time can be reflected immediately.

[0096] The ammonia supply control unit 132 can calculate the amount of ammonia required to ensure the calculated predicted hydrogen supply and can control at least one of the pipes and valves to supply the calculated ammonia supply to the decomposer 120.

[0097] The decomposer condition control unit 133 can control the internal conditions of the decomposer so that the amount of ammonia decomposed into hydrogen in the decomposer 120 does not exceed the predicted hydrogen consumption.

[0098] Here, the internal conditions of the decomposer can include temperature, pressure, humidity, and flow rate.

[0099] For example, the predicted hydrogen consumption could be 90 (the size of the unit is omitted as a relative size unit). Additionally, the predicted hydrogen consumption range could be a predetermined range, and this predetermined range could vary depending on the environment controlled by the ammonia fuel cell vehicle.

[0100] When the amount of ammonia decomposed into hydrogen reaches 95%, the amount of hydrogen decomposed exceeds the predicted hydrogen consumption. Therefore, the decomposer condition control unit 133 can control at least one of the pipes and valves to reduce the amount of ammonia decomposed into hydrogen to 90%.

[0101] The decomposer condition control unit 133 can control the internal conditions of the decomposer so that the amount of ammonia decomposed into hydrogen in the decomposer 120 is not less than the predicted hydrogen consumption.

[0102] For example, when the amount of ammonia decomposed into hydrogen reaches 85, the amount of hydrogen decomposed into hydrogen is below the range of predicted hydrogen consumption. Therefore, the decomposer condition control unit 133 can control at least one of the pipes and valves to increase the amount of ammonia decomposed into hydrogen to 90.

[0103] Next, an example of the predicted hydrogen consumption based on this disclosure will be illustrated.

[0104] Reference Figure 1 At the lower end 60, the device controller 130 can calculate and predict hydrogen consumption 30 based on at least one of driving information 10 and battery information 20.

[0105] At least one of the ammonia supply 40 and the conditions 50 of the decomposer can be controlled based on the calculated predicted hydrogen consumption 30.

[0106] According to one embodiment of this disclosure, instead of simply calculating the predicted hydrogen consumption, it is possible to return to the starting point based on the predicted hydrogen consumption and control the ammonia supply and decomposer conditions to reflect the feedback, thereby having the advantage of providing a further improved ammonia fuel cell vehicle control method.

[0107] Figure 2 This is a configuration diagram of an ammonia fuel cell vehicle control device according to an embodiment of the present disclosure.

[0108] Reference Figure 2 The ammonia fuel cell vehicle control device 100 may include a communication unit 105, an ammonia tank 110, a decomposer 120, a device controller 130, a display 140, an input unit 150, a memory 160, and a camera 170.

[0109] The communication unit 105 can send and receive data with the external device 200. Here, the external device 200 may include a smartphone, PC, laptop, tablet PC, etc.

[0110] Ammonia tank 110 can store ammonia.

[0111] The decomposer 120 can decompose the ammonia stored in the ammonia tank 110 into hydrogen.

[0112] The device controller 130 can control at least one of the ammonia supply to the decomposer 120 and the conditions of the decomposer.

[0113] The device controller 130 can calculate and predict hydrogen consumption based on at least one of driving information and battery information, and control at least one of the ammonia supply and the conditions of the decomposer based on the calculated predicted hydrogen consumption.

[0114] The display 140 can display graphic images according to control commands from the device controller 130.

[0115] The input unit 150 can sense the internal status information of the ammonia tank 110.

[0116] Here, the internal status information may include at least one of the temperature, pressure and humidity of the ammonia tank 110.

[0117] The memory 160 can store ammonia supply, decomposer conditions, predicted hydrogen consumption, internal status information, and graphic images according to control commands from the device controller 130.

[0118] The camera 170 can capture images of the front of the vehicle according to control commands from the device controller 130.

[0119] However, Figure 2The components shown are not essential for implementing the ammonia fuel cell vehicle control device 100 according to this disclosure. The ammonia fuel cell vehicle control device 100 described in this specification may have more or fewer components than those described above.

[0120] The communication unit 105 may include one or more components capable of communicating with external devices, such as 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.

[0121] The input unit 150 is used to input image information (or signals), audio information (or signals), data, or user-input information, and may include at least one of a camera, at least one microphone, and at least one user input unit. The voice or image data collected by the input unit 150 can be analyzed and processed as user control commands.

[0122] Display 140 displays (outputs) information processed by the ammonia fuel cell vehicle control unit 100. For example, the ammonia fuel cell vehicle control unit 100 may display execution screen information of a running application (e.g., an application), or user interface (UI) information and graphical user interface (GUI) information based on such execution screen information.

[0123] The memory 160 can store data supporting various functions of the ammonia fuel cell vehicle control unit 100 and programs for the operation of the control unit. It can store input / output data (e.g., music files, still images, videos, etc.) and multiple applications running in the AI-based user action pattern analysis device 100, as well as data and instructions for the operation of this device. At least some of these applications can be downloaded from an external server via wireless communication.

[0124] This memory 160 may include at least one type of storage medium selected from flash memory, hard disk, SSD (Solid State Disk), SDD (Silicon Disk Drive), multimedia card micro, card-type memory (e.g., SD or XD memory), RAM (random access memory), SRAM (static random access memory), ROM (read-only memory), EEPROM (electrically erasable programmable read-only memory), PROM (programmable read-only memory), magnetic storage, magnetic disk, and optical disk. Furthermore, the memory 160 may be separate from the ammonia fuel cell vehicle control unit 100, but it can also be connected to a database via wired or wireless means, and can be implemented as a database system.

[0125] The device controller 130 includes at least one core and can be implemented by a memory and at least one processor (not shown). The memory stores data of algorithms or reproducing algorithms for controlling the operation of components within the ammonia fuel cell vehicle control device 100, and the processor performs the aforementioned operations using the data stored in the memory. In this case, the memory and processor can be implemented by separate chips. Alternatively, the memory and processor can be implemented by a single chip.

[0126] Additionally, the device controller 130 can be controlled by any one or a combination of the aforementioned components to achieve the following reference on the ammonia fuel cell vehicle control device 100. Figures 3 to 8 The description is based on various embodiments of this disclosure.

[0127] Can be with Figure 2 The performance of the components shown is such that at least one component can be added or removed accordingly. Furthermore, those skilled in the art will readily understand that the relative positions of the components can be changed in accordance with the performance or structure of the system.

[0128] on the other hand, Figure 2The components shown may refer to software and / or hardware components such as Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs).

[0129] Figure 3 This is a flowchart of an ammonia fuel cell vehicle control method according to an embodiment of the present disclosure. According to an embodiment of the present disclosure, this method can be executed by an ammonia fuel cell vehicle control device 100.

[0130] Ammonia can be stored in an ammonia tank (S310).

[0131] Ammonia stored in an ammonia tank can be decomposed into hydrogen (S320).

[0132] At least one of the ammonia supply to the decomposer and the conditions of the decomposer can be controlled (S330).

[0133] Hydrogen consumption can be calculated and predicted based on at least one of driving information and battery information (S340).

[0134] At least one of the ammonia supply and the conditions of the decomposer can be controlled based on the calculated predicted hydrogen consumption (S350).

[0135] Figure 4 This is a diagram illustrating the concept of an ammonia fuel cell vehicle control method according to an embodiment of the present disclosure.

[0136] Reference Figure 4 Ammonia tank 110 can store ammonia (NH3).

[0137] The decomposer 120 can decompose ammonia (NH3) stored in ammonia tank 110 into hydrogen (H2) and nitrogen (N2).

[0138] Hydrogen (H2) from hydrogen and nitrogen can be supplied to the fuel cell 500.

[0139] The fuel cell 500 can generate 400 units of electricity to move the vehicle 1000.

[0140] Figure 5 This is a diagram showing an ammonia fuel cell vehicle control device installed on a vehicle according to an embodiment of the present disclosure.

[0141] Reference Figure 5 The ammonia fuel cell vehicle control device 100 can be installed on the vehicle 1000.

[0142] The ammonia fuel cell vehicle control device 100 may include an ammonia tank 110, a decomposer 120, and a device controller 130.

[0143] For example, the ammonia tank 110 can be installed under the vehicle 1000.

[0144] The disassembler 120 can be installed behind the driver's seat in vehicle 1000.

[0145] The device controller 130 can be installed behind the driver's seat in the vehicle 1000.

[0146] The fuel cell 500 can be installed on the side of the vehicle 1000.

[0147] Figure 6 This is a diagram illustrating an interface for adjusting the ammonia supply according to an embodiment of the present disclosure. Figure 6 include Figure 6 (a) and Figure 6 (b)

[0148] Figure 6 (a) is a diagram showing the user's choice between automatic and manual control when adjusting the ammonia supply.

[0149] Figure 6 (b) is a diagram showing the user selecting manual control when adjusting the ammonia supply.

[0150] Reference Figure 6 (a) The device controller 130 can display an automatic control icon 612 or a manual control icon 614 on the screen 610 for the user to select whether to control the ammonia supply in automatic or manual mode.

[0151] When the device controller 130 receives input to select the automatic control icon 612, it can automatically control the ammonia supply.

[0152] When input is received to select manual control icon 614, such as Figure 6 As shown in (b), a screen 620 can be displayed that controls the ammonia supply based on user input.

[0153] Reference Figure 6 (b) When the device controller 130 receives input from the user to select icon 622 indicating an increase, it can increase the ammonia supply.

[0154] Reference Figure 6 (b) When the device controller 130 receives input from the user to select icon 624 indicating a reduction, it can reduce the ammonia supply.

[0155] According to one embodiment of this disclosure, by displaying an interface on the screen that allows control of the ammonia supply, users can more easily control the ammonia supply and can automatically or manually adjust the ammonia supply.

[0156] Figure 7 This is a diagram illustrating the calculation of predicted hydrogen pressure and predicted hydrogen consumption based on the internal state information of an ammonia tank according to an embodiment of the present disclosure.

[0157] Reference Figure 7 The input unit 150 can sense the internal state of the ammonia tank 110. The input unit 150 may include a sensor unit.

[0158] Here, internal status information may include the temperature, pressure, and humidity of the ammonia tank.

[0159] The device controller 130 can calculate and predict hydrogen consumption based on at least one of driving information, battery information, and sensed internal state information.

[0160] Furthermore, the expected hydrogen consumption can be calculated by taking into account at least one of the temperature, pressure, and humidity of the ammonia tank.

[0161] According to one embodiment of this disclosure, in addition to driving information and battery information, hydrogen consumption can also be calculated and predicted based on the internal state information of the ammonia tank, thus having the advantage of being able to calculate and predict hydrogen consumption more accurately.

[0162] Figure 8 This is a configuration diagram of an ammonia fuel cell vehicle control device according to an embodiment of the present disclosure.

[0163] Reference Figure 8 The ammonia fuel cell vehicle control unit may include device 1600. Device 1600 may include memory 1602, processor 1603, transceiver 1604, and peripheral devices 1601. Additionally, as an example, device 1600 may further include other components and is not limited to the embodiments described above.

[0164] More specifically, Figure 8 Device 1600 can be a hardware / software architecture such as an NDN device, an NDN server, or a content router. As an example, memory 1602 can be non-removable or removable memory. Additionally, as an example, peripheral device 1601 can include a display, GPS, or other peripheral devices, and is not limited to the embodiments described above.

[0165] Additionally, as an example, the aforementioned device 1600 may include communication circuitry such as the transceiver 1604, and may communicate with external devices based thereon.

[0166] Additionally, as an example, processor 1603 may include at least one of a general-purpose processor, a digital signal processor (DSP), a DSP chip, 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. That is, it may perform control actions to control the hardware / software configuration of the aforementioned device 1600.

[0167] At this time, processor 1603 can execute computer-executable instructions stored in memory 1602 to perform various necessary functions of the node. As an example, processor 1603 can control at least one of signal encoding, data processing, power control, input / output processing, and communication operations. Additionally, processor 1603 can control the physical layer, MAC layer, and application layer. Furthermore, as an example, processor 1603 can perform authentication and security processes at the access layer and / or application layer, and is not limited to the embodiments described above.

[0168] As an example, processor 1603 can communicate with other devices via transceiver 1604. As an example, processor 1603 can control the node to communicate with other nodes over a network by executing computer-executable instructions. That is, it can control the communication performed in one embodiment of this disclosure. As an example, other nodes may be NDN servers, content routers, and other devices. As an example, transceiver 1604 can transmit RF signals via an antenna and can transmit signals based on various communication networks.

[0169] Additionally, as an example, antenna technology may include MIMO technology, beamforming, etc., but is not limited to the embodiments described above. Furthermore, the signals transmitted and received by transceiver 1604 can be modulated and demodulated and controlled by processor 1603, and are not limited to the embodiments described above.

[0170] The various embodiments of this disclosure are intended to illustrate representative aspects of this disclosure, rather than to list all possible combinations. The descriptions in the various embodiments can be applied independently or in combination of two or more.

Claims

1. An ammonia fuel cell vehicle control device, comprising: Ammonia tank, to store ammonia; a decomposer for decomposing the ammonia stored in the ammonia tank into hydrogen; as well as a device controller that controls at least one of an amount of ammonia supplied to the decomposer and a condition of the decomposer, The device 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 a condition of the decomposer based on the calculated predicted hydrogen consumption amount.

2. The ammonia fuel cell vehicle control device according to claim 1, wherein: The device controller includes a predicted hydrogen consumption amount calculation unit, an ammonia supply amount control unit, and a decomposer condition control unit.

3. The ammonia fuel cell vehicle control device according to claim 2, wherein: The driving information includes urban driving section information, highway driving section information and traffic congestion information. The predicted hydrogen consumption amount calculation unit calculates the predicted hydrogen consumption amount based on at least one of city travel section information, highway travel section information, and traffic congestion information.

4. The ammonia fuel cell vehicle control device according to claim 2, wherein: The ammonia supply amount control unit calculates an ammonia supply amount required to ensure the calculated predicted hydrogen supply amount, and controls at least one of a pipe and a valve to supply the calculated ammonia supply amount to the decomposer.

5. The ammonia fuel cell vehicle control device according to claim 2, wherein: The decomposer condition control unit controls the internal condition of the decomposer so that the amount of hydrogen decomposed from ammonia in the decomposer does not exceed the predicted hydrogen consumption.

6. The ammonia fuel cell vehicle control device according to claim 2, wherein: The predicted hydrogen consumption amount calculation unit checks at least one of the travel information and the battery information at predetermined periodic intervals, and updates the predicted hydrogen consumption amount based on at least one of the travel information and the battery information.

7. The ammonia fuel cell vehicle control device according to claim 1, further comprising: Display, displaying graphic images, The device controller displays an icon on the display for the user to select automatic control or manual control to control the ammonia supply amount, When receiving an automatic control input, the device controller automatically controls the ammonia supply amount, When receiving the manual control input, the device controller controls the ammonia supply amount according to the user input.

8. The ammonia fuel cell vehicle control device according to claim 1, further comprising: An input unit, sensing internal state information of the ammonia tank, The device controller calculates a predicted hydrogen consumption amount based on at least one of the driving information, the battery information, and the sensed internal state information.

9. The ammonia fuel cell vehicle control device according to claim 8, wherein: The internal state information includes at least one of the temperature, pressure and humidity of the ammonia tank.

10. An ammonia fuel cell vehicle control method, the method being executed by an ammonia fuel cell vehicle control device, the method comprising the following steps: The ammonia is stored in an ammonia tank; decomposing the ammonia stored in the ammonia tank into hydrogen; controlling at least one of an amount of ammonia supplied to a decomposer and a condition of the decomposer; calculating a predicted hydrogen consumption based on at least one of the driving information and the battery information; as well as Based on the calculated predicted hydrogen consumption, at least one of the ammonia supply amount and the condition of the decomposer is controlled.

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