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6 | 6 | <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/blob/main/Classroom%20Challenge%20Projects/Projects/Quarter-Car%20Suspension%20Modeling%20and%20Simulation%20with%20Simscape%20Multibody">Quarter-Car Suspension Modeling and Simulation with Simscape Multibody</a></h2></p> |
7 | 7 | <p>Build and tune a Simscape Multibody quarter-car suspension model using an automated road test suite.</p> |
8 | 8 | <strong>Learning Outcomes:</strong> |
9 | | -<ul><li>Build a physics‑based quarter‑car suspension model using Simscape Multibody, including sprung/unsprung masses, spring–damper suspension, and tire compliance.</li> |
10 | | -<li>Create and run an automated road‑test harness capable of executing multiple road profiles and logging key dynamic signals.</li> |
11 | | -<li>Compute objective performance metrics for ride comfort, road holding, and packaging (e.g., RMS acceleration, suspension travel, tire deflection).</li> |
12 | | -<li>Perform suspension tuning using parameter sweeps to improve performance across road cases.</li> |
| 9 | +<ul><li>Understand and apply physics‑based suspension behavior through quarter‑car modeling and simulation, including sprung/unsprung mass dynamics, suspension elements, and tire compliance. </li> |
| 10 | +<li>Evaluate performance metrics and perform suspension tuning using parameter sweeps to improve performance across road cases.</li> |
13 | 11 | <li>Evaluate robustness of suspension performance under parameter variation (mass change, stiffness/damping tolerances).</li> |
14 | 12 | <li>Apply a model‑based design workflow, including repeatable testing, metrics‑driven tuning, and before/after comparison.</li></ul></td> |
15 | 13 | </tbody> |
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19 | 17 | <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/Classroom%20Challenge%20Projects/Projects/Modeling%20and%20Optimizing%20a%20Battery%20Charging%20Profile">Modeling and Optimizing a Battery Charging Profile</a></h2></p> |
20 | 18 | <p>Use MATLAB to model a lithium battery-charging profile</p> |
21 | 19 | <strong>Learning Outcomes:</strong> |
22 | | -<ul><li>Model battery‑charging behavior using RC‑circuit analogs and exponential equations.</li> |
23 | | -<li>Apply calculus concepts—including derivatives and numerical integration—to real engineering systems.</li> |
| 20 | +<ul><li>Understand battery-charing dynamics through RC-circuit analogs and exponential models.</li> |
| 21 | +<li>Apply calculus-based reasoning, including derivatives, numerical integration, and model fitting, to characterize charging behavior in a real engineered system. </li> |
24 | 22 | <li>Fit experimental or provided charging data using MATLAB curve‑fitting workflows.</li> |
25 | | -<li>Analyze efficiency, voltage rise, and current behavior in battery‑charging scenarios.</li> |
26 | | -<li>Use MATLAB to simulate and visualize engineering systems with dynamic, nonlinear behavior.</li></ul></td> |
| 23 | +<li>Analyze efficiency, voltage rise, current behavior, and braoder nonlinear system behavior through MATLAB-support simulation and visualization.</li></ul></td> |
27 | 24 | </tbody> |
28 | 25 |
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29 | 26 | <tbody> |
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