Graduate Certificate in Autonomous Vehicle Powertrain
-- viewing nowThe Autonomous Vehicle Powertrain Graduate Certificate is designed for professionals seeking to specialize in the electrification and hybridization of powertrains for autonomous vehicles. Develop advanced knowledge of powertrain systems, including electric motors, batteries, and control systems, to create efficient and reliable powertrains for autonomous vehicles.
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Course details
This unit covers the fundamental principles of electric motor design, including the types of electric motors, motor control strategies, and power electronics. Students will learn about the design and control of electric motors, including the use of power electronics and motor control algorithms. • Autonomous Vehicle Powertrain Systems
This unit focuses on the powertrain systems of autonomous vehicles, including the integration of electric motors, batteries, and power electronics. Students will learn about the design and development of powertrain systems for autonomous vehicles, including the use of advanced materials and technologies. • Battery Management Systems for Electric Vehicles
This unit covers the design and development of battery management systems (BMS) for electric vehicles, including the use of advanced battery chemistries and power electronics. Students will learn about the principles of BMS, including state of charge estimation, state of health monitoring, and cell balancing. • Advanced Power Electronics and Motor Control
This unit covers the fundamental principles of advanced power electronics and motor control, including the use of insulated gate bipolar transistors (IGBTs), power MOSFETs, and motor control algorithms. Students will learn about the design and development of power electronics and motor control systems for electric vehicles. • Vehicle Dynamics and Control
This unit covers the fundamental principles of vehicle dynamics and control, including the use of advanced control algorithms and sensor systems. Students will learn about the design and development of vehicle control systems, including the use of advanced materials and technologies. • Autonomous Vehicle Sensor Systems
This unit focuses on the sensor systems used in autonomous vehicles, including lidar, radar, cameras, and ultrasonic sensors. Students will learn about the design and development of sensor systems, including the use of advanced signal processing algorithms and sensor fusion techniques. • Electric Vehicle Charging Systems
This unit covers the design and development of electric vehicle charging systems, including the use of Level 1, Level 2, and DC Fast Charging systems. Students will learn about the principles of charging systems, including the use of advanced power electronics and control algorithms. • Autonomous Vehicle Software and Algorithms
This unit covers the software and algorithms used in autonomous vehicles, including the use of computer vision, machine learning, and sensor fusion techniques. Students will learn about the design and development of autonomous vehicle software, including the use of advanced programming languages and development tools. • Vehicle-to-Grid (V2G) Technology and Energy Harvesting
This unit focuses on the use of V2G technology and energy harvesting in autonomous vehicles, including the use of advanced battery management systems and power electronics. Students will learn about the principles of V2G technology and energy harvesting, including the use of advanced materials and technologies.
Career path
| **Career Role** | Job Description |
|---|---|
| **Autonomous Vehicle Engineer** | Designs and develops powertrain systems for autonomous vehicles, ensuring efficient energy consumption and optimal performance. |
| **Electric Vehicle Technician** | Installs, maintains, and repairs electric vehicle powertrains, ensuring compliance with industry standards and regulations. |
| **Powertrain Systems Analyst** | Analyzes and optimizes powertrain systems for autonomous vehicles, identifying areas for improvement and implementing solutions. |
| **Battery Management System (BMS) Specialist** | Develops and implements BMS software and hardware for electric vehicles, ensuring safe and efficient energy storage and delivery. |
| **Autonomous Vehicle Software Developer** | Designs and develops software for autonomous vehicles, including powertrain control systems, sensor fusion, and machine learning algorithms. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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