Testing & Diagnosis

• Observed a large discrepancy between the simulated and measured drag coefficients, indicating unexpected aerodynamic behavior

• Needed to understand how air flowed over and around the vehicle under real conditions to identify sources of drag

• Required a practical testing method to pinpoint aerodynamic inefficiencies and areas for design improvement

• Instrumented the solar car’s aeroshell with tufts (light strings) to visualize airflow direction and behavior during testing

• Conducted behavioral airflow tests on a closed road highway to capture high-speed photographs and video evidence of airflow movement

• Analyzed tuft motion to identify regions of separation, turbulence, and reversed flow across the shell

• Discovered a “parachute effect” at the leading edge, where tufts were pulled inward, indicating unwanted air ingress

• Identified a continuous gap between the upper and lower shells, contributing to drag and turbulent separation

• Determined that the rough aeroshell surface and localized turbulent zones further degraded aerodynamic performance

• Used test results to pinpoint areas for refinement in sealing, surface finish, and shell geometry to reduce overall drag and improve aerodynamic efficiency

• Demonstrate compliance with American Solar Challenge performance rules for Figure-8, Slalom, and wet-surface braking

• Develop a test plan for a closed-road facility while ensuring driver and bystander safety

• Achieve specified performance targets (≤ 8.0 s/side Figure-8, ≤ 11.5 s Slalom, ≥ 4.72 m/s² wet braking) to pass scrutineering for the Formula Sun Grand Prix competition

• Developed a formal closed-road test plan specifying facility layout, safety briefings, observers, and safety mitigations

• Executed course setups per ASC geometry (Figure-8 cones, 18 m slalom spacing) and prepared the braking zone with controlled wetting for repeatable wet-stop runs

• Varied tire pressure to establish to establish performance/efficiency tradeoffs

• Collected, documented, and analyzed telemetry and video for all runs

• Figure-8 and Slalom runs consistently met time targets with clear margins (all runs ≤ required times)

• Wet braking tests produced average deceleration above the ASC minimum (average ≥ 4.72 m/s²), confirming stopping performance on a wetted surface

• Use an autonomous line-following car that could not reliably stay on track and change the poor turning logic

• Gain a faster response from the vehicle that could stay on the course and complete the loop faster than the other groups

• Alter sensitivity and control code to achieve consistent, precise, and fast behavior

• Redesigned the control logic to optimize wheel speed balance and improve turning dynamics to stay on the line

• Implemented logic for lap counting and automatic stopping after the three laps

• Iteratively tested and tuned system parameters to find an optimal sensitivity and response level.

• Developed a higher speed and more stable control algorithm that eliminated erratic reversing and improved turn precision

• Achieved consistent track-following performance and automated lap tracking logic

• Placed in the top 3 for fastest vehicles around the loop