Description:1
TITLE: MorphoAdapt - Adaptive Vehicle with Real-Time Shape-Shifting Capabilities
FIELD OF INVENTION: The present invention relates to Automotive Engineering and Artificial Intelligence. More particularly, the present invention relates to an adaptive electric vehicle that optimizes its shape, size, and configuration in real-time to enhance performance, 5 efficiency, and safety.
BACKGROUND OF THE INVENTION:
The present invention relates to the field of automotive engineering and artificial intelligence, particularly focusing on the development of adaptive electric vehicles that optimize their shape, size, and configuration in real-time. The rapid growth of the automotive industry and increasing 10 concerns about environmental sustainability have led to a significant demand for eco-friendly and efficient vehicles. However, conventional vehicles often compromise on performance, efficiency, or safety due to their fixed design and configuration.
Recent advancements in artificial intelligence, machine learning, and the Internet of Things (IoT) have enabled the development of adaptive systems that can respond to changing conditions in real-15 time. The integration of sensors, AI-powered algorithms, and modular design has the potential to revolutionize the automotive industry by enabling vehicles to adapt to various driving scenarios, road conditions, and environmental factors.
Recognizing the need for a more efficient, sustainable, and safe transportation solution, the invention integrates AI-driven algorithms with modular design and IoT-enabled sensors to create 20 an adaptive electric vehicle that optimizes its shape, size, and configuration in real-time. This innovative solution focuses on enhancing performance, efficiency, and safety while reducing environmental impact.
By leveraging advanced technologies, this invention aims to transform the automotive industry, provide a more sustainable transportation solution, and improve the overall driving experience. 25
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Prior Art
US10,632,998 B2
This patent discloses an adaptive driving behaviour adjusting method for electric vehicles. The method aims to optimize energy recovery and extend endurance mileage. Key steps include:
1. Estimating the electric vehicle's endurance mileage 35
2. Acquiring location information of the nearest charging pile or destination via GPS
3. Acquiring lane information via GPS
4. Selectively entering a forced or optional adaptive driving mode based on endurance mileage, location, and lane information
The method adjusts driving behavior to optimize energy efficiency and extend mileage. While this 40 patent focuses on adaptive driving behavior, the MorphoAdapt vehicle takes adaptability further by integrating real-time shape-shifting capabilities, AI-driven algorithms, and modular design to optimize performance, efficiency, and safety.
US 10,234,302 B2 45
This patent discloses adaptive route and motion planning systems and methods for vehicles. The system:
1. Observes and records environmental information (e.g., traffic light duration, colors, and location)
2. Uploads recorded information to the cloud
3. Learns and augments data on traffic patterns and location-specific information 50
4. Stores augmented data in a database
5. Provides requesting vehicles with estimated time of arrival (ETA) and alternative route information based on historical knowledge and real-time data
While this patent focuses on adaptive route planning, the MorphoAdapt vehicle integrates adaptability into its core design, enabling real-time shape-shifting capabilities, AI-driven 55 optimization, and modular design to enhance performance, efficiency, and safety.
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WO 2020/010822 A1
This patent application discloses a system and method for transferring controls in vehicular settings between autonomous and manual modes. The system: 60
1. Identifies conditions requiring mode changes through environment sensing
2. Classifies occupant behavior using sensor data
3. Predicts occupant reaction times based on behavior models
4. Enforces policies based on estimated reaction times to ensure seamless mode transitions
While this patent focuses on control transfer between autonomous and manual modes, the 65 MorphoAdapt vehicle takes adaptability further by integrating real-time shape-shifting capabilities, AI-driven optimization, and modular design to enhance performance, efficiency, and safety.
US9135764 B2
The patent describes methods and systems for enhancing navigation and travel efficiency using 70 contextual data. It incorporates:
1. Advanced Routing Algorithms: Utilizes user profiles, past travel data, and real-time environmental context to determine optimal routes. This includes avoiding congested areas, selecting cost-effective paths, and integrating user preferences.
2. Personalized Features: Offers tailored navigation experiences by integrating user gestures, 75 health data, and preferences stored in user profiles.
3. Intelligent Adaptations: Facilitates interactions with external systems like home automation or retail networks, ensuring a seamless integration of travel with lifestyle needs.
4. Translation & Accessibility: Supports features such as translating road signs and adapting interfaces based on user location and language, aimed at improving usability in unfamiliar 80 environments.
5. Integration of Comfort and Efficiency: Builds an ecosystem where mental and physical comfort are prioritized alongside travel optimization. This includes cloud-based data storage for settings and user-specific customization.
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US 2019/0308639 A1
This patent application discloses a system and method for adapting control functions in a vehicle based on a user profile. The system:
1. Recognizes user gestures through a gesture recognition module 90
2. Retrieves and processes user profiles through a user profile module
3. Adapts control functions based on user profile characteristics
4. Verifies control function requests
5. Generates adapted control function outputs
The system aims to provide personalized and intuitive control experiences for vehicle users. While 95 this patent focuses on user-centric adaptation, the MorphoAdapt vehicle takes adaptability further by integrating real-time shape-shifting capabilities, AI-driven optimization, and modular design to enhance performance, efficiency, and safety.
US 10,293,704 B2 100
This patent discloses electric vehicles with adaptive fast-charging capabilities, utilizing supercapacitor-emulating batteries. The system comprises:
1. A main fast-charging lithium-ion battery (FC)
2. A supercapacitor-emulating fast-charging lithium-ion battery (SCeFC)
3. A control unit managing power delivery and state of charge (SoC) 105
The SCeFC operates at high rates within a limited SoC range, minimizing depth of discharge and cycle count of the FC. While this patent focuses on adaptive fast-charging, the MorphoAdapt vehicle takes adaptability further by integrating real-time shape-shifting capabilities, AI-driven optimization, and modular design to enhance performance, efficiency, and safety.
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US10836275 B2
This patent titled "Adaptive Electric Vehicle Charging Based on Grid Monitoring," describes an 115 innovative system for managing electric vehicle (EV) charging efficiently by leveraging grid monitoring and dynamic power adjustments. Key features include:
1. Dynamic Load Monitoring: The system actively monitors electricity demand at a charging facility, distinguishing between EV charging and non-EV electrical loads.
2. Adaptive Charging Power: EV charging power is dynamically adjusted based on real-time 120 grid conditions and electricity consumption caps, optimizing energy usage and reducing costs.
3. Integrated Charging Facility Management: A centralized management device coordinates charging across multiple EVs and charging stations, considering user schedules, vehicle priorities, and grid capacity. 125
4. Vehicle Identification and Customization: Unique vehicle identifiers are used to configure personalized charging profiles, ensuring compatibility with various EV models and user preferences.
5. Cost Optimization: The system reduces operational costs by avoiding overuse of grid reserves, thereby minimizing excess "line charges" from utility companies. 130
6. Seamless User Experience: Users can interact with the system through personal devices, bypassing the need for complex interfaces at the charging stations.
7. Scalability: The solution is designed to accommodate various scenarios, including large-scale facilities, fleets, and home charging setups.
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Objects of the Present Invention
It is a primary object of the present invention to provide an adaptive electric vehicle that optimizes 145 its shape, size, and configuration in real-time, enhancing performance, efficiency, and safety.
It is another object of the present invention to provide a mechanism for real-time shape-shifting, utilizing advanced materials, AI-driven algorithms, and modular design.
It is another object of the present invention to provide a system for optimizing energy efficiency, reducing environmental impact, and improving overall driving experience. 150
It is another object of the present invention to provide advanced safety features, including real-tie threat detection and response, and adaptive protection systems.
It is another object of the present invention to provide stakeholders with real-time data and actionable insights, enabling timely maintenance, updates, and optimization of the vehicle's performance and efficiency. 155
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Summary of the Invention 170
The following summary provides a simplified overview of the MorphoAdapt vehicle's key concepts. The present invention provides an adaptive electric vehicle that optimizes its shape, size, and configuration in real-time. Leveraging advanced technologies, including AI-driven algorithms and modular design, the MorphoAdapt vehicle enhances performance, efficiency, and safety.
According to one aspect of the present invention, the vehicle utilizes real-time data from sensors 175 and cameras to adapt its configuration, ensuring optimal performance and efficiency.
According to another aspect of the present invention, the vehicle's AI-driven system analyzes data from various sources, including traffic patterns, road conditions, and environmental factors, to optimize its shape-shifting capabilities.
According to a further aspect of the present invention, the vehicle incorporates advanced safety 180 features, including real-time threat detection and response, and adaptive protection systems.
According to another aspect of the present invention, the vehicle provides stakeholders with real-time data and actionable insights, enabling timely maintenance, updates, and optimization of the vehicle's performance and efficiency.
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BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWING
The embodiment of the present invention is illustrated with the help of an accompanying drawing.
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Figure 1: Illustrates a block diagram of MorphoAdapt Vehicle’s Adaptive System Architecture
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Figure 2: Illustrates the MorphoAdapt Model
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DETAILED DESCRIPTION OF THE INVENTION WITH REFERENCE TO THE ACCOMPANYING DRAWINGS
The following description illustrates exemplary embodiments of the MorphoAdapt vehicle's adaptive system architecture, shape-shifting mechanism, and operational flow.
Adaptive System Architecture 225
According to one embodiment of the present invention, the MorphoAdapt vehicle comprises a centralized AI-driven control system that interfaces with various sensors, actuators, and communication modules. The control system processes real-time data from sensors and sources, making decisions to optimize vehicle performance, efficiency, and safety.
Shape-Shifting Mechanism 230
According to another embodiment of the present invention, the MorphoAdapt vehicle's shape-shifting mechanism is implemented using advanced materials and actuators. The mechanism enables the vehicle to change its shape, size, and configuration in real-time, optimizing aerodynamics, stability, and maneuverability.
Operational Flow 235
According to another embodiment of the present invention, the MorphoAdapt vehicle's operational flow involves the following steps:
1. Sensor Data Collection: The vehicle's sensor suite collects real-time data on its surroundings and internal state.
2. AI Processing: The AI-driven control system processes the sensor data, making decisions to 240 optimize vehicle performance.
3. Shape-Shifting Control: The AI-driven control system sends commands to the shape-shifting mechanism to adapt the vehicle's configuration.
4. Powertrain Control: The AI-driven control system sends commands to the powertrain and propulsion systems to optimize energy efficiency and performance. 245
Modular Design
According to another embodiment of the present invention, the MorphoAdapt vehicle's architecture is designed for modularity and scalability. The vehicle's components and systems are integrated to
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collect and process data, and the modular design allows for additional sensors or functionalities to be integrated as needed. 250
The accompanying drawings illustrate the MorphoAdapt vehicle's adaptive system architecture, shape-shifting mechanism, and operational flow, providing a comprehensive view of the invention's operational flow.
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Claims 275
I/We Claim
1. A system for adaptive vehicle transformation, the system comprising:
a] A microcontroller configured to process data and control system components.
b] A modular body structure with shape-memory alloys that respond to temperature or electrical changes, enabling dynamic shape-shifting. 280
c] Articulated joints incorporated into the body for smooth and efficient movement during shape changes.
d] Actuators that control the movement of body panels and joints, facilitating real-time reconfiguration of the vehicle.
e] A multi-mode configuration system that allows the vehicle to adapt to different operational 285 modes, including: a.
f] Aerodynamic mode for high-speed driving with a streamlined design. b. Off-road mode for rugged terrain with an elevated and reinforced design. c. Urban mode for maneuverability and compact design suited for city navigation.
g] A communication system configured to transmit operational status and transformation data to a 290 central control unit for monitoring and diagnostics.
Characterised in that the system provides real-time shape-shifting capabilities, enabling the vehicle to adapt to varying environmental conditions and driving requirements without the need for manual intervention.
2. The system as claimed in claim 1, wherein the shape-memory alloys in the vehicle body 295 respond to temperature or electrical stimuli, enabling the transformation of the vehicle's shape based on predefined operational modes.
3. The system as claimed in claim 1, wherein the articulated joints facilitate smooth movement and reconfiguration of the vehicle's body panels, allowing for efficient transition between different modes. 300
4. The system as claimed in claim 1, wherein the actuators control the modular body panels and articulated joints, facilitating seamless transitions between aerodynamic, off-road, and urban configurations.
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5. The system as claimed in claim 1, wherein the multi-mode configuration system adjusts the vehicle's height, body shape, and suspension based on real-time environmental input, 305 ensuring optimal performance in each mode.
6. The system as claimed in claim 1, wherein the communication system transmits data to a central control unit for remote monitoring, diagnostics, and updates of vehicle system performance.
7. The system as claimed in claim 1, wherein the vehicle's modular architecture allows for 310 future upgrades and integration of additional sensors or actuators to improve its shape-shifting capabilities and adaptability.
8. The system as claimed in claim 1, wherein the system reduces the need for manual driver intervention, automating the vehicle's adaptation to different terrains and environments.
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ABSTRACT OF THE INVENTION
Title: MorphoAdapt - Adaptive Vehicle with Real-Time Shape-Shifting Capabilities
The present invention relates to an adaptive electric vehicle that optimizes its shape, size, and configuration in real-time to enhance performance, efficiency, and safety. The MorphoAdapt vehicle utilizes advanced AI-driven algorithms, sensor data, and real-time processing to adapt to 335 changing environments and driving conditions. The system integrates a shape-shifting mechanism, advanced powertrain and propulsion systems, and a comprehensive sensor suite to optimize vehicle performance and safety. The AI-driven control system processes real-time data, making decisions to optimize energy efficiency, stability, and maneuverability. The MorphoAdapt vehicle's innovative design and adaptive capabilities address the challenges of modern transportation, 340 providing a safer, more efficient, and more sustainable driving experience.
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350 , Claims:Claims 275
I/We Claim
1. A system for adaptive vehicle transformation, the system comprising:
a] A microcontroller configured to process data and control system components.
b] A modular body structure with shape-memory alloys that respond to temperature or electrical changes, enabling dynamic shape-shifting. 280
c] Articulated joints incorporated into the body for smooth and efficient movement during shape changes.
d] Actuators that control the movement of body panels and joints, facilitating real-time reconfiguration of the vehicle.
e] A multi-mode configuration system that allows the vehicle to adapt to different operational 285 modes, including: a.
f] Aerodynamic mode for high-speed driving with a streamlined design. b. Off-road mode for rugged terrain with an elevated and reinforced design. c. Urban mode for maneuverability and compact design suited for city navigation.
g] A communication system configured to transmit operational status and transformation data to a 290 central control unit for monitoring and diagnostics.
Characterised in that the system provides real-time shape-shifting capabilities, enabling the vehicle to adapt to varying environmental conditions and driving requirements without the need for manual intervention.
2. The system as claimed in claim 1, wherein the shape-memory alloys in the vehicle body 295 respond to temperature or electrical stimuli, enabling the transformation of the vehicle's shape based on predefined operational modes.
3. The system as claimed in claim 1, wherein the articulated joints facilitate smooth movement and reconfiguration of the vehicle's body panels, allowing for efficient transition between different modes. 300
4. The system as claimed in claim 1, wherein the actuators control the modular body panels and articulated joints, facilitating seamless transitions between aerodynamic, off-road, and urban configurations.
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5. The system as claimed in claim 1, wherein the multi-mode configuration system adjusts the vehicle's height, body shape, and suspension based on real-time environmental input, 305 ensuring optimal performance in each mode.
6. The system as claimed in claim 1, wherein the communication system transmits data to a central control unit for remote monitoring, diagnostics, and updates of vehicle system performance.
7. The system as claimed in claim 1, wherein the vehicle's modular architecture allows for 310 future upgrades and integration of additional sensors or actuators to improve its shape-shifting capabilities and adaptability.
8. The system as claimed in claim 1, wherein the system reduces the need for manual driver intervention, automating the vehicle's adaptation to different terrains and environments.