Electric Vehicle Design and Analysis

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 how electric vehicles reduce fossil fuel use and emissions with high energy efficiency and quieter operation. Learn about streamlined design, 86% energy conversion, lower maintenance, and ownership cost benefits.

Explains the future development and adoption of EVs, outlining incentives, charging infrastructure expansion, renewable energy integration, and stronger emissions policies to boost adoption.

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 electrical power grid as an interconnected network delivering electricity from producers to consumers through transmission and distribution, highlighting alternators, generating stations, and transformers.

Explore how power electronics, using solid state devices, control and convert electrical power through dc-to-dc converters, inverters, rectifiers, and power factor correction, enabling devices from mobile chargers to trains.

Examine the electric vehicle electrical system, including energy input, ac-to-dc conversion, lithium-ion energy storage, and motor drive via inverter and fixed-ratio gearbox; contrast with the internal combustion engine car.

Explore the electric powertrain components. Learn the battery pack of lithium-ion cells (48 to 800 V), the DC AC inverter, the electric motor types (AC and DC), the onboard charger, and the battery management system.

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.

Learn to download and install MATLAB and Simulink, choosing online access or a desktop installation. Create a MathWorks account, verify via email, and start a 30-day student trial.

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.

Learn matlab scripting with m-files and dot-m extensions, use the edit command to create scripts, and generate 2D/3D plots with annotations and saving options.

In Matlab theory class 2 demonstration part 1, learn to create a sine_wave_generator function with time and frequency inputs to compute omega. Plot the sine wave.

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.

Demonstrate MATLAB mathematics with a 3x3 magic square and matrix operations, including transpose and dimension checks. Learn about inverses, pseudo inverses, polynomial roots, and solving linear systems with ax=b.

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 Simulink basics, including an overview, differential equations, and spring-mass-damper modeling, and learn to build simulation models using library browser blocks such as commonly used, continuous, dashboard, and discrete.

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 the Simulink library browser, including mux/demux for routing, sinc and source libraries for clock-driven sine waves and file reading/writing, and string and Matlab function blocks, with library browser demonstrations.

Explore Simulink overview by opening the library browser, using commonly used blocks, and examining continuous and discrete time blocks, derivatives, integrators, delays, and PID/Pi controllers.

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.

Introduce model verifications and model wide utilities in Simulink, detailing blocks for verifications, assertions, dynamic range checks, and common blocks such as clock and sine waves.

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).

Learn to model a mass–spring–damper in Simulink, solving x'' = (f(t) − c x' − k x)/m with step, ramp, pulse, or sine inputs, and analyze frequency and damping ratio.

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 building a differential equation model in Simulink by creating a new tab, using library blocks like clock, sine wave, gain, and integrator, wiring them to two workspaces and scopes.

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.

Demonstrates building a dc machine model in Simulink, wiring supply, armature, back EMF, and torque blocks, and simulating with a fixed-step Runge-Kutta method to plot current, torque, and speed.

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 the battery management system (bms) that monitors state of charge and performance, ensures safety, and optimizes electric vehicle battery packs via voltage, current, and temperature sensing.

Learn charging and discharging of secondary batteries, including constant current and constant voltage charging, onboard and 1–3 charging, and inductive charging; understand how BMS limits discharge depth to extend life.

Manage the thermal system of electric vehicles by using air or liquid cooling to regulate battery and cabin temperatures, boosting performance, safety, charging speed, and range.

Explore system modeling and simulations using Simscape and Simulink in Matlab, comparing block-diagram models with physical network models, and understand solvers, model types, and multi-body applications.

Explore Simulink phases in dynamic systems, from initialization with library blocks and parameter propagation to execution order and the simulation loop, including solvers and initial conditions.

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 the double mass spring damper in Simulink and Simscape, derive motion equations for m1 and m2 with spring k and friction mu g, and show block and network implementations.

Demonstrate modeling a double mass–spring–damper system in simulink and simscape, building a blank model, configuring blocks, applying a force via a signal generator, and validating results with scope measurements.

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.

Demonstrates building an e-vehicle model in Simulink, from a blank model to a vehicle body with six sensors, axles, tire model, and scope-based velocity analysis.

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.