LAKSHYA CHADHA, MS

LinkedIn 906-***-**** Farmington Hills, MI 48335 adgkp2@r.postjobfree.com

SUMMARY

Versatile, self-driven professional with Master’s in Mechanical Engineering. Experienced at Automotive OEM in collaborating with cross-functional teams and performing in fast-paced workgroups. Seeking full-time engineering positions, available immediately. CORE COMPETENCIES

Programming Languages and OS: Python, MATLAB, CAPL, C++, R Windows, Linux Technical: SIL/MIL/HIL Testing, HEV Architecture, Data Analysis, PID, State Feedback Control, FMEA, DOE Software/Hardware Tools: MS Excel, Simulink/Stateflow, GT Suite/POST, MotoTune/MotoHawk, Vector CANoe, PeakCAN, Arduino, Oscilloscope, Multimeter, ADC, DAC, Servo/Stepper/DC Motors, Ultrasonic sensors, Hall-effect Sensors EDUCATION

M.S. Mechanical Engineering, Michigan Technological University – 3.61/4.00 Houghton, MI (May 2020) B.E. Automotive Design Engineering, University of Petroleum and Energy Studies – 83/100 Dehradun, India (May 2016) PROFESSIONAL EXPERIENCE

Systems Level Vehicle Modeling, MBD Intern – Isuzu Technical Center of America, Inc. Jun’20 – Present Project: Drive Cycle Generation

• Completed Efficiency and Range analysis of Light / Medium / Heavy duty commercial EVs using 1-D vehicle Model-based Simulations on real-time calibrated drive cycles using GT SUITE and Simulink.

• Developed Data Analysis application using MATLAB, to compare active US EV customer fleet data with standard drive cycles to study power requirements, battery sizing and powertrain sizing.

• Programmed MATLAB tool to create vocation-based Drive Cycles for Commercial EVs inspired by SAE’s J1634 Standard, iterating combinations of candidate drive cycles to better represent customer driving behavior. Completed MIL validation of custom drive cycles with GT based EV model, by calculating and comparing Range and Efficiency estimates. Territory Service Manager - Hyundai Motor India Ltd. Jun’16 – Jul’18

• Managed technical support operations including Vehicle Testing and Diagnostics, Data Analysis & Warranty Decisions

• Achieved 6.3 Million annual cost reduction by recalibrating HVAC units and redesigning Automotive brake backing plates.

• Expertise in Automotive CAN bus Diagnostics using OBD tools for hardware troubleshooting PROJECT EXPERIENCE

Component Testing and Validation (C++ Vector CANoe CAPL CAN based Project)

• Simulated a CAN bus in CANoe with CAN nodes for ECM, steering module and parking sensor (ultrasonic). Programmed CAPL script to control vehicle motion based on node status. Created an SPI with the drive and sensor units on a prototype vehicle, using CAN network. Completed autonomous reverse parking on the prototype with added object avoidance feature.

• Developed controllers in C++ for activating headlight and wind-shield wiper, communicating over a LIN network with the help of embedded software (Arduino) to gain experience in Automotive networks as well as in instrumentation such as Multimeter, Oscilloscope, Function generator and DC power supplies. HEV Powertrain modeling and calibration (MATLAB Simulink Propulsion Controls)

• Developed controller for the powertrain model of MY-2010 Malibu to improve efficiency and acceleration performance. Using powertrain resizing and advances in drag coefficient, vehicle weight and tire rolling resistance based on NHTSA standards, achieved improvement, verified by completing coast down tests on US06, FTP -75 and HWFET drive cycles.

• Re-designed transmission shift logic, modeled parallel hybrid drive architecture and added Engine smart start-stop for better efficiency. Finally, calibrated EMS based on cold-start, component thermal conditioning and battery aging. Powertrain Systems Control – (Simulink Embedded Control Systems CAN Protocol)

• Developed a model-based PI controller for throttle body. Using PWM signals to actuate H-bridge of servo, achieved real-time calibration for throttle valve opening based on error resolution between throttle position sensor and pedal position sensor.

• Controlled Fuel injector solenoid, to reduce knocking by adjusting Injection duration and Start of Injection based on Engine RPM. Achieved this by detecting exhaust gas temperature from an NTC type thermistor. Model-based system Design (Simulink/Stateflow Hardware Integration MIL/HIL Validation)

• Developed Simulink/Stateflow model for a Series-Parallel Hybrid Electric Vehicle, utilizing it to subsequently create and test the strategy to control the coil excitation sequence of a 2-phase unipolar bifilar stepper motor in ETB, based on Engine speed, Motor speed, Drive mode, commanded velocity and commanded acceleration.

• In order to validate the model-based system of vehicle propulsion and hardware control, achieved MIL validation by testing the model on various EPA drive cycles and HIL Validation, by actuating hardware using real-time input signals from the ECU.