ADAPTIVE FLOW-CONTROLLED VARIABLE GEOMETRY TURBOCHARGER WITH REAL-TIME ENGINE PERFORMANCE OPTIMIZATION

Abstract

ADAPTIVE FLOW-CONTROLLED VARIABLE GEOMETRY TURBOCHARGER WITH REAL-TIME ENGINE PERFORMANCE OPTIMIZATION ABSTRACT The invention is an advanced system designed to enhance engine efficiency, torque, and fuel economy by dynamically adjusting turbine vane geometry based on engine conditions. The system incorporates a variable geometry turbocharger (VGT), an adaptive flow control module, and a real-time control unit that processes data from a comprehensive sensor array monitoring exhaust gas temperature, pressure, and engine speed. Using a feedback loop mechanism, the system optimizes airflow and boosts pressure in real-time, ensuring precise air-fuel mixture control for improved combustion. Integration with engine management systems allows seamless communication, enabling adaptive turbocharger adjustments that reduce emissions and enhance responsiveness. The system further incorporates machine learning to refine performance based on historical data, multiple performance modes for flexibility, and additional features like electric actuators and cooling mechanisms for reliable operation under varying conditions. This innovative turbocharger system is ideal for both performance and fuel efficiency optimization.

Specification

Description:ADAPTIVE FLOW-CONTROLLED VARIABLE GEOMETRY TURBOCHARGER WITH REAL-TIME ENGINE PERFORMANCE OPTIMIZATION

FIELD OF THE INVENTION

Various embodiments of the present invention generally relate to turbocharger. More specifically, the invention relates to an adaptive flow-controlled variable geometry turbocharger with real-time engine performance optimization.

BACKGROUND OF THE INVENTION

Historically, turbochargers have been used to improve engine power by forcing more air into the combustion chamber, allowing for more fuel to be burned and thus increasing output. Traditional turbochargers often suffered from issues like turbo lag, where a delay occurs between the driver's demand for acceleration and the turbocharger's response due to fixed geometry. This limitation can hinder engine performance and responsiveness, particularly at lower RPMs, leading to a suboptimal driving experience.
The advent of variable geometry turbochargers (VGTs) has improved this scenario by allowing the angle of the turbine vanes to be adjusted based on engine load and speed. This adaptability can optimize airflow and boost pressure across a wider range of operating conditions. However, existing VGT technologies often lack the precision and real-time responsiveness necessary to fully exploit the potential of advanced internal combustion engines. Additionally, many systems do not incorporate modern data analytics and feedback mechanisms to continuously refine performance based on real-world driving conditions.
In recent years, there has been a notable shift towards integrating advanced technologies such as machine learning and real-time monitoring systems into automotive applications. These technologies offer significant potential for optimizing performance and enhancing vehicle efficiency. However, their application in turbocharging systems, particularly in real-time adjustments to airflow and combustion dynamics, has been limited.
This invention emerges as a solution to these challenges by combining the benefits of variable geometry turbocharging with advanced flow control and real-time optimization techniques. By leveraging a comprehensive sensor array, a real-time control unit, and adaptive algorithms, the invention enables precise adjustments to turbocharger operation based on continuous monitoring of engine conditions. This approach not only improves power output and fuel efficiency but also aligns with contemporary goals for reduced emissions and improved environmental performance in the automotive industry.
Overall, the development of the Adaptive Flow-Controlled Variable Geometry Turbocharger represents a significant advancement in turbocharging technology, addressing the limitations of traditional systems and paving the way for more efficient and responsive internal combustion engines.

SUMMARY OF THE INVENTION

The Adaptive Flow-Controlled Variable Geometry Turbocharger with Real-Time Engine Performance Optimization is an innovative system designed to enhance the efficiency and performance of internal combustion engines. It features a variable geometry turbocharger (VGT) equipped with adjustable turbine vanes that optimize airflow based on real-time engine conditions. The system includes an adaptive flow control module, which dynamically modulates the vane positions to regulate exhaust gas flow and maximize boost pressure.
Key components include a comprehensive sensor array that monitors critical parameters such as exhaust gas temperature, pressure, and engine speed, feeding data to a real-time control unit. This control unit processes the information and employs advanced algorithms, including machine learning, to generate precise control signals for the turbocharger. A feedback loop mechanism ensures continuous optimization of the air-fuel mixture for improved combustion efficiency.
The system operates in multiple performance modes, allowing for flexibility in driving preferences, and integrates seamlessly with modern engine management systems. Overall, this invention significantly enhances engine responsiveness, fuel efficiency, and reduces emissions, making it a valuable advancement in turbocharging technology for automotive applications.
One or more advantages of the prior art are overcome, and additional advantages are provided through the invention. Additional features are realized through the technique of the invention. Other embodiments and aspects of the disclosure are described in detail herein and are considered a part of the invention.

BRIEF DESCRIPTION OF THE FIGURES

The accompanying figures where like reference numerals refer to identical or functionally similar elements throughout the separate views and which together with the detailed description below are incorporated in and form part of the specification, serve to further illustrate various embodiments and to explain various principles and advantages all in accordance with the invention.
FIG. 1 is a diagram that illustrates a variable geometry turbocharger system 100 with adaptive flow control for real-time engine performance optimization, in accordance with an embodiment of the invention.
Skilled artisans will appreciate the elements in the figures are illustrated for simplicity and clarity and have not necessarily been drawn to scale. For example, the dimensions of some of the elements in the figures may be exaggerated relative to other elements to help to improve understanding of embodiments of the present invention.

DETAILED DESCRIPTION OF THE INVENTION

While various embodiments of the invention have been shown and described herein, it will be obvious to those skilled in the art that such embodiments are provided by way of example only. Numerous variations, changes, and substitutions may occur to those skilled in the art without departing from the invention. It should be understood that various alternatives to the embodiments of the invention described herein may be employed. It shall be understood that different aspects of the invention can be appreciated individually, collectively, or in combination with each other.
FIG. 1 is a diagram that illustrates a variable geometry turbocharger system 100 with adaptive flow control for real-time engine performance optimization, in accordance with an embodiment of the invention.
Referring to FIG. 1, the system 100 the comprises a memory 102, a processor 104, one or more communication interfaces 106, a communication bus 108, one or more edge devices 110, Blockchain network 112, Adaptive learning module 114, Privacy preserving protocol 116, and a communication module 116.
The memory 102 often referred to as RAM (Random Access Memory), is the component of a computer system that provides temporary storage for data and instructions that the processor needs to access quickly. It holds the information required for running programs and performing calculations. The memory 102 can be thought of as a workspace where the processor can read from and write to data.
The processor 104 referred to as the Central Processing Unit (CPU), is the "brain" of the computer system. It carries out instructions, performs calculations, and manages the flow of data within the system. The processor 104 fetches instructions and data from memory, processes them, and produces results.
The one or more communication interfaces 106 refer to the various methods and protocols used to transfer data between different systems, devices, or components. These interfaces can be hardware-based, software-based, or a combination of both.
The memory 102 and the processor 104 are connected through buses, which are electrical pathways for transferring data and instructions.
The communication bus 108 plays a vital role in enabling effective and efficient communication within a system. It establishes the foundation for exchanging information, coordinating actions, and synchronizing operations among different components, ensuring the system functions as an integrated whole.
The Adaptive Flow-Controlled Variable Geometry Turbocharger with Real-Time Engine Performance Optimization represents a sophisticated solution designed to significantly enhance the performance and efficiency of internal combustion engines. The system integrates several advanced components to optimize airflow, improve engine response, and reduce emissions through real-time adjustments based on dynamic engine conditions.
At the core of the system is a variable geometry turbocharger (VGT), which features adjustable turbine vanes that modify their angle based on exhaust gas flow. This ability to change geometry enables the turbocharger to optimize airflow for different engine load conditions, facilitating increased efficiency and power output.
The system incorporates an adaptive flow control module that works in conjunction with the VGT. This module dynamically modulates the positions of the turbine vanes to regulate exhaust gas flow through the turbine. By continually adjusting the vanes, the system can maintain optimal boost pressure, enhancing engine performance and response during acceleration or heavy loads.
To achieve precise control, a comprehensive sensor array is integrated into the system. This array includes exhaust gas temperature sensors, pressure sensors, and rotational speed sensors, which continuously monitor critical engine parameters. Additionally, an intake air temperature sensor is included to further refine adjustments by optimizing air density before combustion. The data collected by these sensors feeds into a real-time control unit that processes the information and generates control signals for the adaptive flow control module, enabling immediate adjustments to the turbocharger geometry.
The real-time control unit employs advanced algorithms, including machine learning techniques, to continuously learn from engine performance data. This capability allows the system to improve its adjustments over time, tailoring the turbocharger's operation to individual driving patterns and engine characteristics. Furthermore, the feedback loop mechanism allows for real-time modifications to both the turbocharger's geometry and the engine's fuel injection system, ensuring an optimal air-fuel mixture and enhanced combustion dynamics.
The communication interface of the system enables integration with modern engine management systems, providing seamless data exchange and allowing for comprehensive diagnostics. This feature ensures that the turbocharger operates harmoniously with the engine, optimizing performance and emissions in a coordinated manner.
The system is designed to operate in multiple performance modes, such as fuel economy mode, high-torque mode, and balanced mode. Each mode is tailored to meet specific engine performance requirements, allowing drivers to select the desired balance between efficiency and power. This versatility is complemented by the inclusion of an electric actuator, which facilitates precise control of the turbine vanes, ensuring rapid response to changing engine loads.
Additionally, the turbocharger is equipped with a cooling mechanism to prevent overheating of the turbine components during prolonged high-performance operation. This design consideration enhances the durability and reliability of the system, making it suitable for various driving conditions.
Overall, the Adaptive Flow-Controlled Variable Geometry Turbocharger with Real-Time Engine Performance Optimization combines innovative engineering and advanced technology to deliver a turbocharging solution that enhances engine efficiency, responsiveness, and environmental performance, making it a valuable addition to modern internal combustion engines.
The Adaptive Flow-Controlled Variable Geometry Turbocharger with Real-Time Engine Performance Optimization offers several significant advantages:
1. Enhanced Engine Efficiency: By dynamically adjusting the geometry of the turbocharger based on real-time engine conditions, this system optimizes airflow and reduces turbo lag, leading to improved overall engine efficiency.
2. Improved Power Output: The ability to modulate turbine vane positions allows the engine to produce more power across a broader range of operating conditions, enhancing acceleration and responsiveness.
3. Reduced Emissions: The precise control of the air-fuel mixture and optimized combustion dynamics contribute to lower exhaust emissions, aligning with modern environmental regulations and reducing the carbon footprint of vehicles.
4. Adaptive Performance Modes: The system's capability to operate in multiple performance modes (e.g., fuel economy, high-torque, balanced) enables drivers to select the optimal setting based on their driving needs, enhancing user experience and flexibility.
5. Real-Time Optimization: The integration of advanced sensors and a real-time control unit ensures that the turbocharger can adapt instantaneously to changing conditions, providing continuous performance improvements throughout different driving scenarios.
6. Machine Learning Integration: The incorporation of machine learning algorithms allows the system to learn from historical performance data, enabling continuous improvement in turbocharger adjustments and optimization strategies tailored to specific driving patterns.
7. Durability and Reliability: The cooling mechanism designed to prevent overheating of turbocharger components during prolonged high-performance operation enhances the durability and longevity of the system, reducing maintenance costs.
8. Seamless Integration with Engine Management Systems: The communication interface allows for easy integration with existing engine management systems, ensuring compatibility and providing comprehensive diagnostics for efficient operation.
9. Improved Engine Responsiveness: The electric actuator allows for rapid adjustments to turbine vane positions, significantly reducing response time during rapid acceleration and enhancing the driving experience.
10. Cost-Effectiveness: By improving fuel efficiency and reducing emissions, this turbocharging solution can contribute to lower operational costs over the vehicle's lifespan, making it an economically attractive option for consumers.
In an exemplary embodiment, the Adaptive Flow-Controlled Variable Geometry Turbocharger with Real-Time Engine Performance Optimization is implemented in a modern gasoline-powered vehicle equipped with a four-cylinder engine. The system is designed to maximize engine performance while minimizing fuel consumption and emissions.
Configuration
1. Variable Geometry Turbocharger (VGT): The VGT features a set of adjustable turbine vanes, which can change their angle to optimize the flow of exhaust gases. This design enables the turbocharger to provide maximum boost at low engine speeds while maintaining efficiency at higher speeds.
2. Adaptive Flow Control Module: The adaptive flow control module utilizes an electric actuator connected to the turbocharger's vane mechanism. This actuator is capable of making precise adjustments to the vane angles in response to control signals from the real-time control unit.
3. Sensor Array: The system incorporates a comprehensive sensor array, including:
o Exhaust Gas Temperature Sensor: Monitors the temperature of the exhaust gases to prevent overheating and ensure efficient combustion.
o Pressure Sensors: Measure both the intake and exhaust pressures to help optimize turbocharger performance.
o Rotational Speed Sensor: Tracks the engine's RPM, providing essential data for adjusting the turbocharger in real-time.
o Intake Air Temperature Sensor: Measures the temperature of the incoming air, allowing for precise adjustments to maximize air density before combustion.
4. Real-Time Control Unit: The control unit processes data from the sensor array and employs advanced algorithms, including machine learning techniques, to generate control signals for the adaptive flow control module. The control unit continuously analyzes the engine's performance metrics and makes real-time adjustments to the turbocharger's geometry.
5. Feedback Loop Mechanism: A feedback loop is established between the control unit and the adaptive flow control module, allowing for continuous monitoring and adjustment of the turbocharger's performance based on instantaneous engine conditions. This mechanism optimizes the air-fuel mixture and enhances combustion efficiency.
Operation
When the vehicle accelerates from a stop, the real-time control unit detects an increase in engine load through data from the rotational speed sensor. In response, it sends control signals to the electric actuator, adjusting the turbine vanes to a position that maximizes exhaust gas flow through the turbocharger. This adjustment enhances boost pressure, resulting in improved engine torque and responsiveness.
As the vehicle reaches cruising speed, the control unit monitors the exhaust gas temperature and intake air temperature. If the temperatures exceed optimal thresholds, the system can adjust the vane positions to reduce boost pressure, preventing overheating and ensuring efficient operation. Simultaneously, the machine learning algorithm analyzes historical performance data to refine future adjustments, improving the system's responsiveness to similar driving conditions.
In addition, the vehicle driver can select different performance modes via the dashboard interface, such as "Eco Mode" for fuel efficiency or "Sport Mode" for maximum power. Each mode adjusts the control parameters of the turbocharger system to provide the desired driving experience while maintaining optimal engine performance.
Results
By implementing this exemplary embodiment, the vehicle achieves significant improvements in fuel efficiency, power output, and emissions reduction. The adaptive flow-controlled variable geometry turbocharger provides a seamless driving experience, adapting to various driving conditions and ensuring that the engine operates at peak performance under all circumstances. This embodiment exemplifies the innovative features and benefits of the Adaptive Flow-Controlled Variable Geometry Turbocharger with Real-Time Engine Performance Optimization, showcasing its potential for modern automotive applications.
Those skilled in the art will realize that the above-recognized advantages and other advantages described herein are merely exemplary and are not meant to be a complete rendering of all of the advantages of the various embodiments of the present invention.
In the foregoing complete specification, specific embodiments of the present invention have been described. However, one of ordinary skill in the art appreciates that various modifications and changes can be made without departing from the scope of the present invention. Accordingly, the specification and the figures are to be regarded in an illustrative rather than a restrictive sense. All such modifications are intended to be included with the scope of the present invention and its various embodiments.
, Claims:I/WE CLAIM:
1. A variable geometry turbocharger system with adaptive flow control for real-time engine performance optimization, comprising:
(a) a variable geometry turbocharger (VGT) configured to adjust the geometry of turbine vanes to optimize airflow based on engine load conditions;
(b) an adaptive flow control module communicatively coupled with the variable geometry turbocharger, the adaptive flow control module being configured to dynamically modulate the vane positions of the turbocharger to regulate exhaust gas flow through the turbine;
(c) a sensor array operatively coupled to the engine, the sensor array comprising at least one exhaust gas temperature sensor, at least one pressure sensor, and at least one rotational speed sensor to continuously monitor engine parameters;
(d) a real-time control unit configured to process data from the sensor array and generate control signals for the adaptive flow control module to adjust the variable geometry turbocharger for improved engine efficiency, torque, and fuel economy;
(e) a feedback loop mechanism configured to adjust the control parameters in real-time based on changes in engine performance metrics, thereby optimizing the air-fuel mixture and boosting pressure;
(f) a communication interface for integrating the system with engine management systems to provide real-time data and receive engine control signals, thereby ensuring seamless operation between the turbocharger and the engine.
2. The system of claim 1, wherein the variable geometry turbocharger further comprises an electric actuator configured to precisely control the movement of the turbine vanes for enhanced response time during rapid changes in engine load.
3. The system of claim 1, wherein the adaptive flow control module is configured to adjust the vane positions based on exhaust gas recirculation (EGR) rates, further optimizing combustion efficiency and reducing emissions.
4. The system of claim 1, wherein the sensor array further includes an intake air temperature sensor, and the real-time control unit uses data from the intake air temperature sensor to adjust the turbocharger geometry for optimized air density and combustion.
5. The system of claim 1, wherein the real-time control unit includes a machine learning algorithm that continuously learns from engine performance data to improve future turbocharger adjustments based on historical engine load and performance patterns.
6. The system of claim 1, wherein the feedback loop mechanism is configured to adjust the air-fuel ratio in real-time by controlling both the turbocharger vane positions and the engine's fuel injection system for precise control over combustion dynamics.
7. The system of claim 1, wherein the communication interface is compatible with on-board diagnostic (OBD) systems, allowing for monitoring, diagnostics, and tuning of the turbocharger system through an external diagnostic tool.
8. The system of claim 1, wherein the variable geometry turbocharger is further equipped with a cooling mechanism to prevent overheating of the turbine components during prolonged high-performance engine operation.
9. The system of claim 1, wherein the real-time control unit is configured to operate in multiple performance modes, including fuel economy mode, high-torque mode, and balanced mode, each mode providing different levels of turbocharger boost based on engine performance requirements.

Documents