Unit Outlines
Automotive Engineering Technology: Advanced Topics
AI Generated
Advanced
90 hours
9 topics
Learning Objectives
6 objectives- Understand the design, operation, and optimization of advanced powertrain systems including hybrid, electric, and alternative fuel technologies.
- Analyze vehicle dynamics and control systems to improve vehicle handling, stability, and safety.
- Evaluate the application of advanced materials in automotive engineering to enhance performance and fuel efficiency.
- Investigate autonomous and connected vehicle technologies, including sensors, AI, and communication systems.
- Apply knowledge of aerodynamics, engine performance tuning, and energy management to optimize vehicle efficiency and safety.
- Explore emerging trends and innovations shaping the future of automotive engineering.
Content Outline
PreviewUnit 3647: Advanced Automotive Engineering
1. Advanced Powertrain Systems
1.1 Overview of Powertrain Architectures
- Conventional vs Advanced Powertrains
- Components and system integration
1.2 Hybrid Systems
- Series, Parallel, and Series-Parallel hybrids
- Energy flow and management
- Control strategies
1.3 Electric Vehicles (EVs)
- Electric motor types and operation
- Battery technologies and management systems
- Charging infrastructure and standards
1.4 Fuel Cells and Alternative Fuel Technologies
- Principles of fuel cell operation
- Hydrogen storage and safety
- Biofuels, natural gas, and synthetic fuels
1.5 Powertrain Optimization Techniques
- Efficiency improvement methods
- Emissions control technologies
2. Vehicle Dynamics and Control
2.1 Fundamentals of Vehicle Dynamics
- Longitudinal, lateral, and vertical dynamics
- Tire behavior and interaction with road surface
2.2 Handling and Stability
- Weight distribution and center of gravity effects
- Understeer, oversteer, and neutral steer
2.3 Control Systems
- Anti-lock Braking System (ABS)
- Electronic Stability Control (ESC)
- Active suspension systems
- Traction control systems
2.4 Simulation and Testing Methods
- Vehicle dynamics simulation tools
- Experimental testing approaches
3. Advanced Materials in Automotive Engineering
3.1 Material Categories
- Composites: Types and properties
- Aluminum alloys
- High-strength steel grades
3.2 Material Selection Criteria
- Strength-to-weight ratio
- Corrosion resistance
- Cost and manufacturability
3.3 Applications in Vehicle Design
- Structural components
- Body panels
- Powertrain parts
3.4 Impact on Performance and Efficiency
- Weight reduction benefits
- Safety implications
4. Autonomous and Connected Vehicles
4.1 Autonomous Vehicle Technologies
- Sensor systems: LiDAR, radar, cameras, ultrasonic
- AI algorithms and machine learning
- Perception, localization, and decision-making
4.2 Vehicle-to-Everything (V2X) Communication
- Types: V2V, V2I, V2P, V2N
- Communication protocols and standards
4.3 Connectivity Infrastructure
- 5G and future networks
- Cloud computing and edge computing
4.4 Regulatory and Ethical Considerations
- Safety standards
- Privacy and data security
- Legal frameworks
5. Advanced Vehicle Aerodynamics
5.1 Principles of Vehicle Aerodynamics
- Drag, lift, and downforce
- Flow separation and wake
5.2 Testing and Simulation
- Wind tunnel testing methodologies
- Computational Fluid Dynamics (CFD) simulations
5.3 Design Optimization
- Shape optimization for drag reduction
- Active aerodynamic components
- Aerodynamic aids for stability
5.4 Impact on Fuel Efficiency and Performance
6. Advanced Engine Performance Tuning
6.1 Engine Performance Parameters
- Power, torque, fuel consumption, emissions
6.2 Forced Induction Techniques
- Turbocharging principles and components
- Supercharging methods
6.3 Variable Valve Timing and Lift
- Mechanisms and control strategies
- Effects on performance and emissions
6.4 Other Performance Enhancement Techniques
- Direct fuel injection
- Exhaust gas recirculation (EGR)
- Engine control unit (ECU) tuning
7. Automotive Safety Systems
7.1 Advanced Driver Assistance Systems (ADAS)
- Adaptive cruise control
- Lane-keeping assist
- Collision avoidance systems
7.2 Sensor Technologies for Safety
- Radar, LiDAR, cameras
- Sensor fusion techniques
7.3 Human-Machine Interface (HMI)
- Alerts and warnings
- Driver monitoring systems
7.4 Safety Testing and Validation
- Crash tests
- Functional safety standards (ISO 26262)
8. Vehicle Energy Management Systems
8.1 Energy Storage Technologies
- Battery management systems
- Supercapacitors
8.2 Regenerative Braking
- Principles and implementation
- Energy recovery optimization
8.3 Thermal Management
- Cooling systems for powertrain and batteries
- Heat dissipation techniques
8.4 Energy-Efficient Components
- Electric power steering
- Energy-saving lighting
8.5 Integration and Control Strategies
- Energy flow management
- Vehicle energy optimization algorithms
9. Emerging Trends in Automotive Engineering
9.1 Connected Vehicles and Smart Infrastructure
- Internet of Things (IoT) integration
- Smart traffic systems
9.2 Vehicle-to-Everything (V2X) Advances
- Enhanced communication protocols
- Cybersecurity challenges
9.3 Artificial Intelligence and Machine Learning
- Predictive maintenance
- Autonomous driving advancements
9.4 Sustainability and Green Technologies
- Circular economy principles
- Next-generation powertrain technologies
9.5 Future Outlook
- Challenges and opportunities
- Industry and regulatory evolution
Unlock the full outline
Get the complete content outline, learning outcomes and assessment methods for Automotive Engineering Technology: Advanced Topics.
KSh 20 one-off, or included with a plan
Learning Outcomes
Unlock the outline above to see learning outcomes.
Assessment Methods
Unlock the outline above to see assessment methods.