Explore the classifications of EVs and ICEs, including BEV, HEV, PHEV, and FCEV, and compare energy sources, emissions, charging needs, and the role of regenerative braking.

Explore the fundamentals of electric vehicle design, power grids, power electronics, electrical systems, and electric vehicle powertrains, with key terms like circuit, voltage, current, resistance, and series and parallel configurations.

Explore the battery system as the energy store of electric architectures, detailing cells, anode, cathode, electrolyte, series or parallel connections, and primary vs secondary chemistries, with swapping advantages.

Learn matlab and simulink basics, including download, installation, and environment setup. Explore model-based design, create models and simulations, and master data handling, plotting, and matlab mathematics.

Explore Matlab fundamentals from the command window to workspace data types, loops and conditionals, and inputs, outputs, loading and saving data.

Explore Matlab basics through a live demonstration of the Matlab interface, including the command window and workspace, define variables, vectors, and matrices, save scripts as .m files, and run them.

Explore how to place text in figures with gtext and ginput, generate and overlay sine waves of frequency using f evolve and f eval, save plots to pdf in Matlab.

Explore MATLAB mathematics from elementary operations to linear algebra, interpolation, optimization, and numerical integration, with hands-on examples using magic, polyfit, poly, roots, and ode23.

Practice numerical integration in MATLAB by solving dy/dt = 2t with ode23 from t 0 to 5, and plot y and dy/dt with labeled axes.

Explore discrete time library blocks such as z transform, time delay, and discrete derivatives and integrations for signals, plus logic, lookup tables, and math operations.

Explore discontinuities in Simulink, including discrete time domain blocks, delays, lookups, and rate limiters. Learn to use logic, math, matrix, and messages blocks for modeling dynamic systems.

Derive the differential equation for a spring mass damper system from Newton's law with damping and stiffness, and Laplace transfer function X(s)/F(s) = 1/(m s^2 + c s + k).

Demonstrates a differential equations model of a spring mass damper in Simulink using m, c, k and f(t), with displacement, velocity, and acceleration plotted via integrator and xy graphs.

Demonstrate a Simulink spring-mass-damper model solving the differential equation with f(t) inputs (sine, step, constant) using 0.2 1/m gain and Euler Ode 41, and observe acceleration, velocity, and displacement.

Model a DC machine in Simulink, covering generator and motor operation with rotor and stator windings, armature and field circuits, and the rotating magnetic field that generates emf or torque.

Learn the fundamentals of EV battery technology, including electrochemistry, battery management systems, charging and discharging, thermal management, battery chemistry choices, packs, and lifecycle and recycling.

Explore the basic electrochemistry of lithium ion batteries, including anode and cathode structures, separators, electrolytes, and charge–discharge redox processes, plus cathode and carbon anode materials, SEI formation, and lithium plating.

Explore free body diagrams for a two-mass spring-damper system, applying f = ma to visualize forces and reactions, and study Simscape networks with m1, m2, k, mu, x1, x2.

Explore simscape libraries in matlab to model a double mass spring damper with mechanical sensors, connect to simulink via ps-simulink converter, and analyze scope outputs.

Build a Simulink and Simscape model of a spring-mass-damper system using Newton's second law, with m, k, and b, and simulate the response via block connections.

Build an integrated Simulink and Simscape spring‑mass‑damper model using an ideal force source, sensors, and a PS2 to Simulink converter, then verify solver configuration and mechanical references for consistent results.

Explore system modeling with Simulink and Simscape by building a double mass spring damper network and comparing Simulink and Simscape diagrams with solver configuration and converter blocks.

Explore multi-domain modeling with Simulink and Simscape by integrating electrical and mechanical domains to analyze a DC motor's speed using the PS2 Simulink converter and a scope.

Demonstrates assembling a multi-domain Simscape model in Simulink, wiring a DC voltage source, resistor, and inductor to a rotational electromechanical converter, then adding inertia, damper, and sensor.

Explore electric scooter design fundamentals, including lithium ion batteries, brushless dc motors, and controllers, then analyze performance, chassis design, and charging requirements to optimize efficiency and cost.

Explore the block diagram of electric vehicle design, detailing battery, motor, and controller interactions, and learn to estimate propulsion power, tractive forces, and total power.

Explore sample data for two-wheeler design, including rider mass 80 kg, vehicle mass 237 kg, weight 317 kg, tyre diameter 18 in, inertia, and roll resistance 0.05.

Create a Simulink Simscape e-vehicle model by building a vehicle body, configuring mass, CG, drag, and tires, then connect hubs and axles and run with a solver to view velocity.