> Ashwin Kumar Rangarajan
Ashwin Kumar Rangarajan

Ashwin Kumar Rangarajan

Chassis Controls Engineer Intern @ Ford Motor Company | Ex-Deep Orange Orange 16 Intern |
Ex-Royal Enfield Assistant Manager - Chassis Testing & Validation | Automobile Enthusiast

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An enthusiastic engineer passionate about automobiles, driven to contribute to the society through innovation and technology.

Professional Projects

January to May 2024

VEHICLE STABILITY CONTROL USING OPTIMAL TORQUE ALLOCATION IN FOUR-WHEEL INDEPENDENT HUB MOTOR VEHICLE

CU-ICAR

➤ Designed a hierarchical model-based control system using Direct Yaw Moment Control (DYC) to enhance yaw stability.
➤ Implemented individual wheel torque vectoring and braking algorithms for active vehicle dynamics control.
➤ Simulated and validated controller performance in double lane change, J-turn, and sine-with-dwell maneuvers.
➤ Tested under normal and split-μ surfaces, with/without vehicle stability control.
➤ Demonstrated significant improvements in vehicle stability and handling performance.

Model & Controller
Sine with Dwell - Oversteer Characteristics
Sine with Dwell - Understeer Characteristics
Fishhook Maneuver - Oversteer Characteristics
Fishhook Maneuver - Understeer Characteristics
Double Lane Change - Oversteer Characteristics
Double Lane Change - Understeer Characteristics
Tools used: MATLAB Simulink
August to December 2023

NUMERICAL MODELING AND SIMULATION OF TRACTOR-TRAILER SYSTEM

CU-ICAR

➤ Applied first-principles modeling to derive equations of motion for a tractor-trailer system
➤ Developed a state-space representation using linear systems theory and the transport theorem
➤ Implemented the full model in MATLAB for simulation and analysis
➤ Performed stability analysis under varying hitch angles, CG positions, and load transfer conditions
➤ Evaluated dynamic response using step input and fishhook maneuvers

Tools used: MATLAB Simulink
August to December 2023

ADAPTIVE CRUISE CONTROL AND AUTONOMOUS LANE KEEPING OF A RC CAR

CU-ICAR

➤ Designed and implemented an autonomous lane-keeping and adaptive cruise control system using Arduino
➤ Employed ultrasonic sensors and PID control to maintain lane position and regulate vehicle speed
➤ Developed a Kalman filter-based sensor fusion technique to improve sensor accuracy
➤ Conducted extensive PID tuning for smooth and responsive control behavior
➤ Validated the system across diverse track conditions using a data-driven development approach

Tools used: MATLAB Arduino Excel

Autonomous Control Algorithm Demonstration

January to April 2025

HMI DISPLAY DESIGN USING MOTEC C1812 DISPLAY DEVICE

CU-ICAR

➤ Developed a customized Human-Machine Interface (HMI) using the MoTeC C1812 display
➤ Integrated real-time vehicle data via a robust CAN communication architecture
➤ Designed an intuitive GUI to visualize performance and diagnostic parameters
➤ Enabled seamless multi-page navigation through steering wheel-mounted buttons
➤ Enhanced driver interaction and situational awareness during dynamic testing

Tools used: New Eagle Vector MoTeC

HMI Screen HiL Testing

DIY Projects

May 2025

MUSIC-REACTIVE LED VISUALIZER USING ARDUINO

CU-ICAR

➤ Designed and built a DIY sound-reactive LED system using an Arduino Uno board
➤ Integrated a sound sensor module to detect audio signals in real time
➤ Programmed the microcontroller to generate dynamic LED patterns synchronized to music based on amplitude
➤ Fine-tuned the sensor sensitivity and implemented basic filtering to improve signal accuracy
➤ This project created an engaging visual experience, ideal for ambient lighting and musical displays

Tools used: New Eagle Vector MoTeC

Music reactive LED IN ACTION