EV PCB Design & Data Analytics
Course Overview
This curriculum is designed to provide learners with knowledge and skills in PCB design for electronic and vehicle systems using Altium, as well as data analytics techniques for EV electrical systems. The learners will be introduced to the basics of PCB design and Altium, including schematic capture, component management and PCB layout design. They will also learn about designing PCBs for analogue and digital circuits, power electronics, RF/microwave circuits and high-speed circuits. In addition, learners will gain an understanding of vehicle electrical systems and network topology and how to design PCBs for vehicle control modules and sensors. The curriculum includes case studies and projects to reinforce learning and provide practical experience. By the end of this course, learners will be able to design and fabricate a PCB for a vehicle control module and analyse data from electric and autonomous vehicles to optimise their performance.
Specialization Stack Objectives
To introduce the fundamental concepts of PCB design and Altium software
To understand how to create hierarchical schematics and multi-sheet designs, generate netlists and bill of materials
To visualise and explore data using data visualisation techniques
To provide hands-on experience to students through projects and case studies, including designing and fabricating a PCB for a vehicle control module and analysing data from electric and autonomous vehicles.
To simulate and verify PCB designs
Course Modules
Basic concepts of PCB design
Overview of Altium, its interface, and key features
Basic PCB design techniques using Altium
Understanding schematic capture and design process
Working with components, symbols, and nets
Creating hierarchical schematics and multi-sheet designs
Generating netlist and bill of materials
PCB Layout Design
Designing PCBs for analog and digital circuits
Designing PCBs for power electronics
Designing PCBs for RF/microwave circuits
Designing PCBs for high-speed circuits
Understanding vehicle electrical systems and network topology
Designing PCBs for vehicle control modules and sensors
Designing PCBs for power electronics used in vehicles
EMI/EMC considerations in PCB design for vehicles
Simulation and Verification
Data collection and pre-processing
Data collection methods and techniques in EV electrical systems
Data pre-processing and cleaning techniques
Introduction to data visualization and exploration
Data analysis techniques for EV electrical systems
Overview of data analysis techniques, such as regression analysis, clustering, and classification
Application of data analysis techniques in EV electrical systems
Data analytics platforms for EV electrical systems
Case studies and projects
Machine learning and AI techniques for EV electrical systems
Introduction to machine learning and artificial intelligence (AI) techniques in EV electrical systems
Application of machine learning and AI techniques in EV electrical systems, including predictive maintenance, energy management and autonomous driving
Projects & Case Studies
-
Design and fabricate a PCB for a vehicle control module, such as an ECU or ABS module.
-
Analysing data from electric vehicles to optimize their energy efficiency and performance
-
Analysing data from autonomous vehicles to improve their safety and performance
Target Industry Job Profiles
- PCB Design Engineer
- Vehicle Systems Engineer
- Electronics Engineer (Automotive)
- EV Power Electronics Engineer
- Automotive Embedded Systems Engineer
- Data Analyst for Electric Vehicles
- EV Systems Integration Engineer
- Vehicle Telematics Engineer
- EV Charging Systems Engineerer
- Autonomous Vehicle Systems Engineer
