DE202023101828U1 - An artificial intelligence based fuel cell hybrid electric vehicle system - Google Patents

Abstract

An artificial intelligence based fuel cell hybrid electric vehicle system, the system includes:
a filter system for generating pure hydrogen and oxygen, thereby storing the hydrogen in the hydrogen tanks of pure or impure hydrogen;
a fuel cell module for generating electric power using the hydrogen received from the hydrogen tank and providing the electric power to an electric motor;
a battery coupled to the fuel cell to provide the electric power when the fuel cell runs out or the vehicle system needs electric power, the battery being charged externally by a power source and internally by the fuel cell;
an artificial intelligence-based control unit for continuously monitoring a set of parameters of the vehicle system to optimize the load, wherein the artificial intelligence-based control unit is configured with an intelligent energy saving strategy technique that contributes to an appropriate use of energy to extend the range of the overall vehicle, resulting in a reduction in the load on the system to achieve better fuel economy, wherein the artificial intelligence-based control unit is further configured to switch off the vehicle system when a leak is detected; And
a graphical user interface for assisting the driver of the vehicle regarding various restrictions related to the vehicle and the journey.

Description

FIELD OF THE INVENTION

The present disclosure relates to automobiles, more specifically to an artificial intelligence based fuel cell hybrid electric vehicle system to increase the efficiency of FCEV technology by adding systems like PSA (Pressure Swing Absorption) technology and to assist the driver in fuel consumption rate & also helps to inform about the remaining driving range.

BACKGROUND OF THE INVENTION

The hydrogen supplied to FCEVs must be pure. The purity of the hydrogen fed to the fuel cell affects the efficiency of the hydrogen. Impure hydrogen can be available in various areas. This also affects the lifespan of the fuel cell if this hydrogen is used to power the vehicle. In today's electric vehicles, the battery weight-to-range ratio is a major concern. This reduces the range of electric vehicles. People do not have enough materials to replace all internal combustion engine cars with electric vehicles, and battery manufacturing also harms the environment. The difficulties with today's FCEVs and EVs are as follows: 1) Range Anxiety: People are concerned about the range that EVs offer. When the batteries run out, people get stuck. 2) Low fuel cell efficiency due to impurities in the supplied hydrogen and oxygen and 3) Hydrogen refueling and power infrastructure: These are important concerns when it comes to FCEVs and EVs.

Fuel cells are also powered by highly compressed water or a hydrogen tank. For example revealed DE112004001186 a system for using a pressurized water system. She also proposed an electronic system to operate the fuel cell intermittently to increase the fuel cell efficiency. But it doesn't address the hydrogen purity concerns related to the hydrogen that is available in various areas around the world.

This in AU727959B2 The power supply system described improves the affordability of transport methods that use fuel cells. However, the system becomes more complex in terms of the proposed infrastructure in terms of functioning. In addition, the proposed system is in AU727959B2 dependent on fuel transport systems.

There is a hybrid of FCEVs with internal combustion engines, as in US7147072 disclosed. This system is still dependent on externally supplied fuel to power the internal combustion engines as well as fuel supplied to the fuel cell. This system does not reduce the dependency on the infrastructure needed to fuel FCEVs, while still depending on fueling stations to fuel the combustion engine.

E-vehicles run on electricity. This electricity is supplied by electricity grids. Intelligent systems are proposed to manage the power grid, for example in the patent US11159043 . However, this electricity is currently generated from conventional energy sources. And that doesn't solve the power issue when net demand itself increases.

The number of batteries needed to power these electric vehicles is also growing. These batteries have materials that are limited resources. The production of batteries also pollutes the environment. This does not make electric vehicles green and environmentally friendly. Both EVs and FCEVs have the problem mentioned above. With reference to this, the need for hybrid electric FCEV and FCEV (Fuel Cell Hybrid Electric Vehicle) is proposed. The hybrid FCEV proposed here is based on a fuel cell and an auxiliary battery.

In view of the foregoing discussion, it is apparent that there is a need for a hybrid electric FCEV and FCHEV (Fuel Cell Hybrid Electric Vehicle) based on a fuel cell and an auxiliary battery.

SUMMARY OF THE INVENTION

To provide an artificial intelligence based fuel cell hybrid electric vehicle system. This invention is concerned with increasing the efficiency of existing FCEV technology by adding systems such as PSA (Pressure Swing Absorption) technology. More specifically, the hydrogen gas supplied by the hydrogen tank is supplied to the PSA module. This attached PSA module also provides a fuel cell. This technology includes the onboard generation of oxygen to supply the fuel cell. This system also improves the efficiency and lifetime of the fuel cell. System implemented AI to monitor the whole system. It monitors Temperatures, pressures and flow rates of liquids and gases in the system. Using an intelligent and predictive model-based approach in artificial intelligence, system output parameters could be controlled to achieve efficient and safe performance in vehicles. The user is notified via a specially designed assistant that works on smartphones when the system detects a leak. This application supports the driver regarding the fuel consumption rate and also helps to find out about the remaining driving range.

In one embodiment, an artificial intelligence based fuel cell hybrid electric vehicle system is disclosed. The system includes a filter system to produce pure hydrogen and oxygen, thereby storing the hydrogen in the hydrogen tanks of pure or impure hydrogen.

The system further includes a fuel cell module for generating electric power using the hydrogen received from the hydrogen tank and for providing the electric power to an electric motor.

The system further includes a battery coupled to the fuel cell to provide the electrical energy when the fuel cell runs low or the vehicle system requires electrical energy, the battery being charged externally by a power source and internally by the fuel cell.

The system further includes an artificial intelligence-based control unit for continuously monitoring a set of parameters of the vehicle system to optimize the load, the artificial intelligence-based control unit configured with an intelligent energy saving strategy technique that contributes to proper use of energy to extend the range of the overall vehicle, resulting in a reduction in the load on the system to achieve better fuel economy, the artificial intelligence-based control unit further configured to switch off the vehicle system when a leak is detected.

The system further includes a graphical user interface for assisting the driver of the vehicle with various restrictions related to the vehicle and the journey.

An objective of the present disclosure is to efficiently purify hydrogen such that impure hydrogen is filtered and supplied to the fuel cell.

Another object of the present disclosure is to increase the efficiency of a fuel cell by providing a filter system.

Another object of the present disclosure is to improve overall system efficiency and safety by analyzing various factors and controlling circuits using AI.

Another object of the present disclosure is to reduce dependency on conventional electric vehicles.

Support ride details, dates and total earnings. This application will also provide details about the proposed hybrid FCEV system. It displays safety parameters and additional data such as range and speed.

Yet another object of the present invention is to provide a high speed and low cost artificial intelligence based fuel cell hybrid electric vehicle system.

In order to further clarify the advantages and features of the present disclosure, the invention will be described in more detail with reference to specific embodiments thereof illustrated in the accompanying drawings. It should be understood that these drawings represent only typical embodiments of the invention and are therefore not to be considered as limiting its scope. The invention will be described and illustrated with additional specificity and detail with the accompanying drawings.

character list

• 1 veranschaulicht ein Blockdiagramm eines auf künstlicher Intelligenz basierenden Brennstoffzellen-Hybridelektrofahrzeugsystems gemäß einer Ausführungsform der vorliegenden Offenbarung;
• 2 veranschaulicht eine optimale intelligente Steuerstrategietechnik zur Energieeinsparung und Reichweitenlöschung in einem intelligenten Hybrid-FCEV gemäß einer Ausführungsform der vorliegenden Offenbarung.

These and other features, aspects and advantages of the present disclosure will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like characters represent like parts throughout the drawings, wherein:

• 1 12 illustrates a block diagram of an artificial intelligence based fuel cell hybrid electric vehicle system according to an embodiment of the present disclosure;
• 2 illustrates an optimal intelligent control strategy technique for energy saving and range erasure in a hybrid intelligent FCEV according to an embodiment of the present disclosure.

Furthermore, those skilled in the art will recognize that elements in the drawings are shown for simplicity and are not necessarily drawn to scale. For example, the flowcharts illustrate the method in terms of the salient steps involved to help improve understanding of aspects of the present disclosure. In addition, with respect to the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are relevant to understanding the embodiments of the present disclosure, so as not to obscure the drawings with details that are readily apparent to those of ordinary skill in the art who benefit from the description contained herein.

DETAILED DESCRIPTION:

For the purposes of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It should be understood, however, that no limitation on the scope of the invention is intended thereby, contemplating such changes and further modifications to the illustrated system and such further applications of the principles of the invention set forth therein as would normally occur to one skilled in the art to which the invention pertains.

Those skilled in the art will understand that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be limiting.

Reference throughout this specification to "an aspect," "another aspect," or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, the phrases "in one embodiment," "in another embodiment," and similar phrases throughout this specification may, but need not, all refer to the same embodiment.

The terms "comprising," "comprising," or other variations thereof are intended to cover non-exclusive inclusion such that a process or method that includes a list of steps includes not only those steps, but may include other steps not expressly listed or inherent in such process or method. Similarly, without further limitation, one or more devices or subsystems or elements or structures or components preceded by "comprises...a" does not exclude the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The system, methods, and examples provided herein are illustrative only and are not intended to be limiting.

Embodiments of the present disclosure are described below in detail with reference to the accompanying drawings.

With reference to 1 1 is a block diagram of an artificial intelligence based fuel cell hybrid electric vehicle system according to an embodiment of the present disclosure. The system 100 includes a filter system 101 for producing pure hydrogen and oxygen, whereby the hydrogen is stored in the hydrogen tanks 107 of pure or impure hydrogen, the filter system 101 preferably being selected from a pressure swing technology (PSA) module 101 for separating hydrogen and oxygen from compressed gas using the pressure swing adsorption technique.

In one embodiment, a fuel cell module 102 is coupled to the hydrogen tanks 107 to generate electrical power using hydrogen received from the hydrogen tank 107 and to provide the electrical power to an electric motor 104 .

In one embodiment, a battery 105 is coupled to the fuel cell 102 to provide the electrical power when the fuel cell 102 runs low or the vehicle system requires electrical energy, the battery 105 being charged externally by a power source and internally by the fuel cell 102.

In one embodiment, an artificial intelligence-based control unit 103 is coupled to the fuel cell 102 to continuously monitor a set of parameters of the vehicle system to optimize the load, the artificial intelligence-based control unit being configured with an intelligent energy saving strategy technique that contributes to an appropriate use of energy to extend the range of the overall vehicle, resulting in a reduction in the load on the system to achieve better fuel economy, the artificial intelligence-based control unit being further configured to the vehicle system to shut down upon detection of a leakage.

In one embodiment, a graphical user interface is coupled to the artificial intelligence based controller to assist the driver of the vehicle with various vehicle and trip related constraints.

In another embodiment, the set of parameters is selected from gas flow rate, liquid flow rate, component temperatures, the load, which includes the control circuit current flow, and voltage parameters.

In another embodiment, the various vehicle and trip restrictions are selected from a display of trip parameters including range, fuel gauge and speed, a warning to the driver when the payload increases, the graphical user interface allows the driver to record trip data for each trip: route traveled (via GPS), fare earned (money) and time taken, the graphical user interface locates a gas station on a map, the graphical user interface provides route planning, integration with other smart devices, remote control of the vehicle and maintenance of warnings.

In another embodiment, the graphical user interface provides the user with optimal routes based on their vehicle's remaining fuel and hydrogen refueling station locations along the way, and allows the user to remotely control certain features of their FCEV, including turning on the air conditioning or heating, checking the battery level, or remotely starting the vehicle.

In another embodiment, the fuel cell 102 is preferably a PEMFC (proton exchange membrane fuel cell 102), where the PEMFC produces energy that is further passed to a control circuit for boosting the voltage and distributing energy to the motor for sending or charging the battery to a BMS (battery management system) 106.

In another embodiment, the system further includes multiple sensors whose data logging and mapping of information is done by a sensor data mapping system 112 integrated with the sensor, including gas leak detection sensor 111, brake position sensor 109, and acceleration sensor 110 to provide the correct driver inputs for acceleration and braking commands, the information being processed with battery data (%SoC, %SoH, battery temperature, current, battery voltage) passed from the BMS to the intelligent controller that optimizes e Generates control commands to operate the engine in a controlled manner.

The hydrogen tank/cylinder 100 supplies hydrogen to the PSA module 101. This hydrogen stored in the tank 107 need not be pure, but after being directed to the filter system 101, it becomes pure enough to be fed to the fuel cell 102.

The PSA system 101 uses pressure swing adsorption technology to separate oxygen from compressed gas. This filtered hydrogen gas is fed to the PEMFC (proton exchange membrane - fuel cell 102) 102 . The PSA system also supplies oxygen to the PEMFC.

The PEMFC 102 releases energy when hydrogen and oxygen are supplied by the PSA system 101 . The hydrogen cylinder 100 provides hydrogen that will fully meet the needs of the PEMFC 102.

The PEMFC 102 outputs power that is passed to the control circuit 103 for boosting the voltage and distributing power to the motor 104 for transmission or to the battery 105 for charging by the BMS (Battery Management System) 106 .

Whenever the motor 104 needs power for transmission but in the scenario that the fuel cell 102 is unable to provide enough power, the battery 105 provides power to the motor 104 via the control circuit 103 .

The needs of the overall system are also sometimes met by the battery 105 whenever required.

Power is provided to the PSA system 102 from the battery 105 or directly from the motor 104 with mechanical power to drive the PSA system 102 pump.

The system requires multiple sensors whose data logging and mapping of information is done by the 112-sensor data mapping system, which is integrated with sensors such as the 111 gas leak detection sensor, the 109 brake position sensor and the 110 acceleration sensor to capture the correct driver acceleration and braking commands. This information is processed with battery data (%SoC, %SoH, battery temperature, current, battery voltage) passed from the BMS 106 to the intelligent controller 103 to generate optimized control commands to control the motor.

In addition, the intelligent controller 103 helps display all this information on the display unit 108 through an intelligent app or an intelligent LCD display of the user interface for a user experience.

2 illustrates an optimal smart control strategy technique for energy saving and range erasure in a smart hybrid FCEV according to an embodiment of the present disclosure. The technique begins at block 200 through block 201 where initial vehicle parameters such as %SoC, battery voltage, battery current, battery temperature, hydrogen level, range, %gas leakage are determined through sensor mapping and calculation.

Block 202 helps check Actual_%SoC>= Desired_%SoC & Block 203 helps check Actual_H2-level>= Desired_H2-level, if both conditions are unsatisfactory then block 204 keeps vehicle in OFF mode until battery is not charged & desired fuel in hydrogen tank 107.

If the conditions of blocks 202 and 203 are met, then block 205 establishes the vehicle subsystem constraints such as engine power, torque and speed requirements based on efficiency map curves with respect to data mappings of driver input commands such as acceleration, braking signals.

After block 205, operation block 206 is performed and assists in calculating the desired controlled torque that the controller could supply to the motor via either the battery or fuel cell 102 or a hybrid combination of both, based on real-time simulation results obtained for both systems in the form of a lookup table.

For this block 206, other blocks such as 207, 208, 209 help to check the vehicle's optimum values of load demand torque, range and fuel consumption rate. If all of these values are at the desired level, the vehicle will continue to drive in the optimized hybrid mode for better range, fuel economy and overall system efficiency.

If the conditions of block 2017, 208, 209 are not met, block 210 assists in controlling the degree of hybridization and optimal gain values through artificial intelligence-based model predictive control schemes until optimal results are not appropriately obtained. In the end, the model continues to run in a closed loop for the next iterations.

The hydrogen required for the fuel cell 102 must be in pure form. But it is not necessary that pure hydrogen will be available everywhere in the world. Therefore, impure hydrogen is used in this proposed system. This partially reduces the reliance on hydrogen pumps as impure hydrogen can be obtained from various sources. Filter system 101 (PSA module) to provide the fuel cell 102 with pure hydrogen and oxygen. The filter system 101 also helps improve the efficiency of the fuel cell 102 and the lifespan of the fuel cell. Have a hydrogen tank 107 with pure or impure hydrogen to meet the hydrogen needs of the fuel cell 102. Have a battery to meet the electrical needs of the system. This battery can be charged externally or charged by the fuel cell 102 .

The AI system improves the efficiency of the system by managing flow, temperature and pressure (of various components). The AI system will also contribute to the security measures of the whole system. This leads to an improvement in the overall efficiency of the system and contributes to safety.

The advanced smart technology used in this smart hybrid FCEV to perform appropriate energy management between three combinations of power source modes such as battery only mode, hydrogen fuel cell only mode and combined fuel cell 102 with battery mode Performing it intelligently will help improve the vehicle's overall range, efficiency and fuel economy.

The driver needs an assistant throughout the fare or journey. With this system, a smartphone-based application is proposed to act as the driver's assistant. Capture, process and display trip and system data.

1. 1) Fahrtparameter anzeigen: Reichweite, Kraftstoffstandanzeige und Geschwindigkeit.
2. 2) Es warnt den Fahrer, wenn die Nutzlast zunimmt, zum Beispiel: Überschreitung der Kapazität von Personen in einem Fahrzeug.
3. 3) Der Fahrer kann Fahrtdaten für jede Fahrt aufzeichnen: zurückgelegte Route (über GPS), verdientes Fahrgeld (Geld) und benötigte Zeit.
4. 4) Tankstellen-Locator. Autofahrer können Tankstellen auf der Karte finden.
5. 5) Routenplanung: Die App kann dem Benutzer basierend auf dem verbleibenden Kraftstoff seines Fahrzeugs und den Standorten von Wasserstofftankstellen entlang der Strecke optimale Routen anbieten.
6. 6) Integration mit anderen intelligenten Geräten.
7. 7) Wartungswarnungen.
8. 8) Fernsteuerung des Fahrzeugs: Die App kann es dem Benutzer ermöglichen, bestimmte Funktionen seines FCEV fernzusteuern, wie z. B. das Einschalten der Klimaanlage oder Heizung, das Überprüfen des Batteriestands oder das Starten des Fahrzeugs aus der Ferne.

A smartphone application that supports the driver in the following tasks:

1. 1) View ride parameters: range, fuel gauge and speed.
2. 2) It warns the driver when the payload increases, for example: exceeding the capacity of people in a vehicle.
3. 3) The driver can record trip data for each trip: route traveled (via GPS), fare earned (money) and time taken.
4. 4) Gas station locator. Motorists can find petrol stations on the map.
5. 5) Route planning: The app can offer the user optimal routes based on the remaining fuel in their vehicle and the locations of hydrogen refueling stations along the route.
6. 6) Integration with other smart devices.
7. 7) Maintenance Alerts.
8. 8) Remote control of the vehicle: The app can allow the user to remotely control certain functions of their FCEV, such as B. switching on the air conditioning or heating, checking the battery level or starting the vehicle remotely.

The hydrogen sources available worldwide do not have to meet the purity requirements that the fuel cell requires. The proposed hybrid system, which indirectly reduces dependence on hydrogen tank infrastructure. Purified hydrogen from the PSA system is then supplied to the fuel cell 102 . A battery is provided with the system to meet power needs. This battery can be charged externally as well as charged by the fuel cell 102 .

The system improves a vehicle's range, efficiency and durability and overcomes significant challenges in existing systems. AI is used in the proposed system specifically for safety and efficiency. There are several applications based on user control that are also based on autonomy (AI).

The smartphone app that assists the driver has various functions that a driver needs to drive and plan trips. It is a practical tool that facilitates the driver's everyday life and displays important system information. It is also able to notify users of anomalies and maintenance needs. Thus, an app that can relieve driver's pain and bring more convenience to drivers in hybrid FCEV.

According to this system, users are provided with a vehicle capable of generating oxygen on board. The vehicle has pressure swing technology (PSA) that purifies the hydrogen and delivers it to the fuel cell 102 . These gases provided are pure, increasing fuel cell life and efficiency.

AI will measure parameters such as hydrogen flow, gas and liquid temperature and will also intelligently manage energy consumption cycles. It also contributes to safety and cargo and gas leak prevention as there is leak detection and then has emergency shutdown sensors that shut down the entire system.

1. 1. Wasserstoffzylinder/ -tank 107, der das PSA-Modul (Pressure Swing Adsorption) mit Wasserstoff versorgt.
2. 2. Dieser reine Wasserstoff wird der Brennstoffzelle 102 zugeführt.
3. 3. Ein Wasserstofftank 107 ist vorhanden, um den Wasserstoffbedarf zu decken.
4. 4. Das Brennstoffzellenmodul ist dafür verantwortlich, Strom zu erzeugen und den Elektromotor bereitzustellen.
5. 5. Der Motor liefert das notwendige Drehmoment, um das Fahrzeug anzutreiben.
6. 6. Eine Batterie ist im System vorhanden, um den notwendigen Energiebedarf zu decken, wenn die Brennstoffzelle knapp wird oder wenn das System elektrische Energie benötigt.
7. 7. Während das Fahrzeug fährt, überwachen KI-Systeme kontinuierlich die verschiedenen Parameter wie Gasdurchfluss, Flüssigkeitsdurchfluss, Komponententemperaturen, Last usw. und steuern den Stromfluss und die Spannungsparameter des Schaltkreises, um die Belastung des Systems zu verringern.
8. 8. Darüber hinaus trägt eine intelligente Energieeinsparstrategietechnik zu einer angemessenen Nutzung von Energie bei, um die Reichweite des Gesamtfahrzeugs zu erweitern, was zu einer Reduzierung der Belastung des Systems führt, um eine bessere Kraftstoffeinsparung zu erreichen.
9. 9. AI ist auch für die Sicherheit verantwortlich, daher schaltet es bei Leckagen das System notfalls komplett ab.
10. 10. Eine Smartphone-Anwendung zur Fahrerassistenz.

The system consists of:

1. 1. Hydrogen cylinder/tank 107 which supplies hydrogen to the PSA (Pressure Swing Adsorption) module.
2. 2. This pure hydrogen is fed to the fuel cell 102 .
3. 3. A hydrogen tank 107 is present to meet hydrogen needs.
4. 4. The fuel cell module is responsible for generating electricity and providing the electric motor.
5. 5. The engine provides the necessary torque to propel the vehicle.
6. 6. A battery is present in the system to meet the necessary power needs when the fuel cell runs out or when the system needs electrical power.
7. 7. While the vehicle is driving, AI systems continuously monitor the various parameters such as gas flow, liquid flow, component temperatures, load, etc., and control the current flow and voltage parameters of the circuit to reduce the stress on the system.
8. 8. In addition, intelligent energy saving strategy technique contributes to reasonable use of energy to save the rich range of the overall vehicle, resulting in a reduction in the load on the system to achieve better fuel economy.
9. 9. AI is also responsible for safety, so if there is a leak, it will shut down the system completely if necessary.
10. 10. A driver assistance smartphone application.

1. 1. Fahrtparameter anzeigen: Reichweite, Kraftstoffstandanzeige und Geschwindigkeit.
2. 2. Es warnt den Fahrer, wenn die Nutzlast zunimmt, zum Beispiel: Überschreitung der Personenkapazität in einem Fahrzeug.
3. 3. Der Fahrer kann Fahrtdaten für jede Fahrt aufzeichnen: zurückgelegte Route (über GPS), verdientes Fahrgeld (Geld) und benötigte Zeit.
4. 4. Tankstellen-Locator. Autofahrer können Tankstellen auf der Karte finden.
5. 5. Routenplanung: Die App kann dem Nutzer basierend auf dem verbleibenden Kraftstoff seines Fahrzeugs und den Standorten von Wasserstofftankstellen entlang der Strecke optimale Routen zur Verfügung stellen.
6. 6. Integration mit anderen intelligenten Geräten.
7. 7. Wartungswarnungen.
8. 8. Fernsteuerung des Fahrzeugs: Die App kann es dem Benutzer ermöglichen, bestimmte Funktionen seines FCEV fernzusteuern, wie z. B. das Einschalten der Klimaanlage oder Heizung, das Überprüfen des Batteriestands oder das Starten des Fahrzeugs aus der Ferne.

A smartphone application supports the driver in the following tasks:

1. 1. View ride parameters: range, fuel gauge and speed.
2. 2. It warns the driver when the payload increases, for example: exceeding the passenger capacity in a vehicle.
3. 3. The driver can record trip data for each trip: route traveled (via GPS), fare earned (money) and time taken.
4. 4. Gas station locator. Motorists can find petrol stations on the map.
5. 5. Route planning: The app can provide the user with optimal routes based on the remaining fuel in their vehicle and the locations of hydrogen refueling stations along the route.
6. 6. Integration with other smart devices.
7. 7. Maintenance Warnings.
8. 8. Remote control of the vehicle: The app may allow the user to remotely control certain functions of their FCEV, such as B. switching on the air conditioning or heating, checking the battery level or starting the vehicle remotely.

The drawings and the above description provide exemplary embodiments. Those skilled in the art will recognize that one or more of the elements described may well be combined into a single functional element. Alternatively, certain elements can be broken down into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, orders of processes described herein may be changed and are not limited to the manner described herein. Furthermore, the actions of any flowchart need not be implemented in the order shown; also, not all actions have to be performed. Actions that are not dependent on other actions can also be performed in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples. Numerous variations, whether or not expressly stated in the description, such as differences in structure, dimensions and use of materials, are possible. The scope of the embodiments is at least as broad as indicated by the following claims.

Advantages, other benefits, and solutions to problems have been described above with respect to specific embodiments. However, the benefits, benefits, problem solutions, and components that may cause benefits, benefits, or solutions to occur or become more pronounced are not to be construed as critical, required, or essential features or components of any or all claims.

Reference List

100

A fuel cell hybrid electric vehicle based on artificial intelligence.

101

PSA (Pressure Swing Adsorption)

102

fuel cell

103

Intelligent control system

104

monitoring

105

battery

106

BMS (Battery Management System)

107

H2 tank

108

Display monitoring app interface

109

brake position sensor

110

accelerometer

111

gas leak sensor

112

Sensor/Data Mapping

113

oxygen

114

hydrogen

115

Electrical power

116

Optimization of the control

118

H2 gas

200

Start

201

Determine initial vehicle parameters such as %SoC, battery voltage, battery current, battery temperature, hydrogen level, range, %gas leakage

202

Check Actual_%SoC>= Target_%SoC

203

Check Actual_H2 Level >= Desired_H2 Level

204

Keep the vehicle in OFF mode until the battery runs out of charge and the desired fuel is in the hydrogen tank.

205

Determination of the restrictions for the subsystems of the vehicle, such as e.g. engine power, torque and speed requirements, based on efficiency curves for mapping driver input commands such as acceleration and braking signals

206

Calculation of the desired regulated torque that the ECU could supply to the motor either via the battery or the fuel cell or a hybrid combination of both, based on the real-time simulation results, which are available for both systems in the form of a look-up table

207

Check if Estimated Load Demand Torque >=Target Demand Torque.

208

Checking the estimated range>=target range

209

Estimated Fuel Consumption Review>=Target fuel consumption

210

Control of the degree of hybridization and optimal gain values by artificial intelligence-based model predictive control methods until optimal results are no longer achieved

211

Continue to operate the vehicle in optimized hybrid mode to improve range, fuel economy and overall system efficiency.

212

end

QUOTES INCLUDED IN DESCRIPTION

This list of documents cited by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent Literature Cited

• DE 112004001186 [0003]
• AU 727959 B2 [0004]
• US7147072 [0005]
• US11159043 [0006]

Claims (7)

An artificial intelligence based fuel cell hybrid electric vehicle system, the system includes: a filter system for generating pure hydrogen and oxygen, thereby storing the hydrogen in the hydrogen tanks of pure or impure hydrogen; a fuel cell module for generating electric power using the hydrogen received from the hydrogen tank and providing the electric power to an electric motor; a battery coupled to the fuel cell to provide the electric power when the fuel cell runs out or the vehicle system needs electric power, the battery being charged externally by a power source and internally by the fuel cell; an artificial intelligence-based control unit for continuously monitoring a set of parameters of the vehicle system to optimize the load, wherein the artificial intelligence-based control unit is configured with an intelligent energy saving strategy technique that contributes to an appropriate use of energy to extend the range of the overall vehicle, resulting in a reduction in the load on the system to achieve better fuel economy, wherein the artificial intelligence-based control unit is further configured to switch off the vehicle system when a leak is detected; And a graphical user interface for assisting the driver of the vehicle regarding various restrictions related to the vehicle and the journey. system after claim 1 wherein the set of parameters is selected from gas flow rate, liquid flow rate, component temperatures, the load including current flow and voltage parameters of the control circuit. system after claim 1 , where the various restrictions related to the vehicle and the trip are selected from a display of trip parameters, including range, fuel gauge and speed, a warning to the driver when the payload increases, the graphical user interface allows the driver to record trip data for each trip: route traveled (via GPS), fare earned (money) and time taken, the graphical user interface locates a gas station on a map, the graphical user interface provides route planning, integration with other smart devices, remote control of the vehicle and maintaining alerts. system after claim 1 , where the graphical user interface provides optimal routes for the user based on their vehicle's remaining fuel and hydrogen refueling station locations along the way, and allows the user to remotely control certain functions of their FCEV, including turning on the air conditioning or heating, checking the battery level, or starting the vehicle remotely. system after claim 1 wherein the filter system is preferably selected from a pressure swing technology (PSA) module for separating hydrogen and oxygen from compressed gas using pressure swing adsorption technology. system after claim 1 wherein the fuel cell is preferably a PEMFC (Proton Exchange Membrane Fuel Cell), the PEMFC generating energy which is further passed to a control circuit for boosting the voltage and distributing energy to the motor for transmission or battery charging via a BMS (Battery Management System). system after claim 1 , the system further comprising multiple sensors whose data logging and mapping of information is done by a sensor data mapping system built into the sensor, including gas leak detection sensor, brake position sensor and acceleration sensor, to capture the correct driver inputs for acceleration and braking commands, the information being processed with battery data (%SoC, %SoH, battery temperature, current, battery voltage) passed from the BMS to the intelligent controller, which generates optimized control commands to operate the engine in a controlled manner.

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