Basics in EV Technology
- Introduction to EV Technology: Understand the core concepts and significance of Electric Vehicles (EVs) in modern transportation.
- Types of EV Architecture: Learn about various electric vehicle architectures, including battery electric vehicles (BEVs), plug-in hybrids (PHEVs), and more.
- Powertrain Flow & Energy Flow: Gain insights into the powertrain layout, energy distribution from battery to motor, and overall vehicle dynamics.
- EV Sensors & Actuators: Explore the sensors and actuators used in EVs, including their types, roles, and control mechanisms.
- Signals & Control Systems: Study the signals, control systems, and feedback loops necessary for proper EV powertrain operation.
- Battery Technology: Understand the construction, chemical composition, and types of EV batteries (e.g., lithium-ion, solid-state).
- Battery Management System (BMS): Learn the roles and responsibilities of BMS, its working principles, connections, safety protocols, and key functionalities.
- Wiring Harness: Overview of the wiring harness architecture and how to create a complete wiring diagram for EVs.
EV Programming & Embedded Systems
- Programming Architecture Basics: Learn the foundations of programming architectures for EV controllers.
- Controller Architecture & Connections: Understand the structure of EV controllers and their connection with sensors and actuators.
- Analog & Digital Sensors: Design and implement analog and digital sensors as per the controller’s specifications.
- Signal Processing: Work on taking analog/digital signals to controllers and processing them for system functionality.
- Data Types & Control Statements: Dive into data types, control statements, loops, and output signals in embedded programming.
- Motor Control Systems: Create closed-loop control systems for motor control using multiple input signals.
- Battery Safety System (BMS): Design and implement closed-loop control systems for battery safety and management.
- Complete Circuit & Programming for EV: Implement and program an entire circuit for a 2-wheeler EV, integrating hardware and software.
- Drive Modes & Features: Learn to implement and test various drive modes and features typically found in EV 2-wheelers.
PCB Designing
- Introduction to PCB Design: Learn the basics of PCB design, including workflow and terminology.
- PCB Layers & Components: Study different layers in PCBs, components, their annotations, and connection standards.
- Schematic Diagrams: Create schematic diagrams with symbols, tools, annotations, footprints, and connections.
- Component Footprints: Learn how to select appropriate footprints based on component ratings.
- PCB Layout Design: Understand the process of importing schematic designs, placing components, routing, and arranging layouts.
- Creating New Components: Learn how to create new symbols, footprints, and libraries for custom components.
- Production Files & Outputs: Create production-ready files for PCB manufacturing.
- Projects:
- DC-DC Converter Design: Hands-on project to design and develop a DC-DC converter.
- EV Controller Design: Design and develop an EV controller PCB for practical applications.
MATLAB for EV Design
- MATLAB Basics: Introduction to MATLAB, including basic functions, arrays, and arithmetic operations.
- Simulink Basics: Learn to use Simulink for modeling and simulation of embedded systems.
- Proportional-Integral-Differential (PID) Control: Implement PID blocks to detect the speed of an induction motor.
- Powertrain Design (Partial): Work on partial powertrain design using MATLAB and Simulink.
- Battery Pack Design & Analysis: Analyze and design battery packs, focusing on SOC (State of Charge), voltage, and current management.
- Power Converter Design: Learn the principles behind designing power converters, such as inverters and converters used in EV applications.
ANSYS for Motor Design
- Introduction to Motors & ANSYS: Understand the basics of motor types, use cases, and how ANSYS is used for motor simulations.
- Motor Operation: Study the operation of 3-phase brushless DC (BLDC) motors and sinewave motors.
- Motor Design & Simulation: Learn the design of radial flux, axial flux, and linear motors.
- Stator & Rotor Design: Understand the design and optimization of stators (slots, core, tooth tips) and rotors.
- Magnetic Circuit & EMF: Study the principles of magnetic circuits, flux, EMF, and torque generation.
- Motor Winding & Inductance: Learn about winding types, slot leakage inductance, and end-winding leakage.
- Projects:
- BLDC 3-Phase Motor Design: Design and analyze a BLDC motor using ANSYS for electric vehicle applications.
- ANSYS for electric vehicle applications.
AI in EV
- Introduction to AI & Machine Learning (ML): Understand the fundamentals of AI, including types of AI and an introduction to ML.
- ML Algorithms: Explore different machine learning algorithms, their applications, and case studies.
- Adversarial Machine Learning: Study adversarial machine learning, its challenges, and impacts on EV systems.
- Types of ML Problems: Learn about regression and classification problems, model training, and loss functions.
- Linear Regression: Understand and implement linear regression using gradient descent for model fitting.
- AI-Based Systems for EV:
- Range Prediction System: Use AI to predict the remaining driving range of an EV based on various parameters.
- Driving Pattern Analysis: Analyze real-time driving data to optimize EV performance.
Automobile Data Analytics: Use historical automobile datasets for predictive analytics and improving EV design.