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Regenerative Braking & Sensor Analysis

Mock Consulting Project for Webb Motorsports

Title Slide Major Deliverables Project Outline Technical Approach Integration Methods Differentiation Methods Error Analysis Graphs Baseline Results Noise Analysis Intro Gaussian Noise Results Quantization vs Dropout Sensor Recommendations Final Conclusion
Total Distance 11.99 km
Baseline Energy 2,314.52 kJ
Max Allowable Noise 0.12 m/s

Technical Approach

I developed custom MATLAB functions to quantify energy recovery efficiency. Using a hybrid integration approach (Simpson’s 1/3, 3/8, and Trapezoidal), I achieved O(h4) accuracy. This was verified against the UDDS dataset to establish a baseline regenerative energy of 2,314.52 kJ.

Quantization vs. Dropout Analysis

My sensitivity analysis revealed that energy estimation is far more susceptible to quantization than data dropout. Low-resolution sensors create "staircase" data, causing mathematical spikes in acceleration that lead to energy calculation errors exceeding 5%.

Procurement Recommendation

For Webb Motorsports, I recommended prioritizing High-Resolution (q) sensors. The maximum allowable jitter was determined to be 0.12 m/s; exceeding this threshold compromises the integrity of the regenerative braking analysis.