Data Mechanical

+1-313-***-**** ******@*****.*** www.linkedin.com/in/sameersingh94

WORK EXPERIENCE

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• Performed Model- In- Loop test on EV powertrain and calibrated 80 KW AC motor with RMS P100D motor controller.

• Established CAN protocol using Teensy 4.0 microcontroller, calibrated speed, potentiometer & infrared distance sensor.

• Designed and manufactured parts for powertrain and power electronics mounting by 3-d printing, lathe, mill.

• Conducted energy audit and supported operations team in identifying energy efficiency projects for UM-Dearborn.

• Reduced electricity & gas cost by 33% with avg. payback period of 4 years by optimizing HVAC compressor and pumps.

• Designed GPS maps for navigation devices with features as road map, and man-made infrastructure data sets.

• Advanced usage of web mapping APIs like Google Maps, Bing Maps, OpenStreetMap etc.

• Coupled LIDAR and Camera sensor data with vertical and oblique imagery allowing to be cataloged in 2-D maps.

• Designed 3D CAD model of disk type insulators and performed structural analysis for 40-50 % mechanical loads.

• Reduced defect rate by 3% by optimizing the ratio of solvent in bituminous paint for insulator coating.

• Calibrated testing equipment’s and performed various routine and acceptance test (electro-mechanical, temp. test). EDUCATION

CERTIFICATIONS:

SKILLS

PROJECTS

Model based development, Simulation & Calibration (Matlab/Simulink)

• Developed Li-ion Thevenin based battery management system Simulink model based on cell electrochemistry.

• Validated BMS model & formulated algorithm to predict cell behavior Ex- discharge rate, SOC under different test cases.

• Provide novel solutions of battery management control system to optimize dischargeable capacity, cycle life.

• Modelled EV Powertrain to determine Motor Torque and Power according to vehicle performance requirement.

• Performed motor map sizing and battery sizing required for the given range using MATLAB script.

• Optimized the EV range and cost by using Pareto charts for standardized EPA test cycles-City,Highway,US06,wltc.

• Performed model based development and MIL testing for 6-speed AT powertrain model in MATLAB/Simulink.

• Simulated the launch by deriving general and state variable equations for torque and inertia phase for TCU.

• Calibrated clutch torque profile to reduce the Torque hole and overshoot for smoother shift.

• Developed system based model in Matlab for HEV powertrain, battery, motor, engine.

• Computed size of each main components in Series HEV with vehicle data and performance requirement and DOH.

• Estimated fuel efficiency, state of charge, and CO2 emission by implementing thermostat control strategy and regenerative braking on different EPA standards for city, hwy, us06, and wltc in Matlab.

• Determined wheel tractive force for different gears at different speed to analyze the grade-ability of the vehicle

• Simulation of the vehicle for EPA driving cycles: City, Highway and US06 cycles using MATLAB.

• Calculated vehicle energy efficiency & fuel rate for the optimum BSFC.

• For the given PGT system motor torque and clutch reaction torques were calculated for E1 and E2 mode.

• Calculated electric range and net drainage of battery at 15% slope for vehicle at cruising constant speed in diff. mode.

• For extended E2 mode propulsion power, motor torque and engine torque were calculated. Autonomous vehicle

• Developed code to initialize buzzer tone for defined frequencies in ARM assembly language & performed debugging

• Programmed TIVA microcontroller to read ultrasonic sensor data using UART communication protocol in C language.

• Programmed microcontroller to read analog infrared sensor and converted raw voltage data into digital signal.

• Performed object detection, extraction to self-driving camera images & distinguished feature detectors and descriptors.

• Matched image feature using Brute-force matching algorithm with SIFT Descriptors and Ratio test.

• Estimated camera motion between subsequent photographs & improved VO performance through outlier rejection.

• Developed motion state & predicted state using IMU data in Python & verified by Carla Simulator ground truth data.

• Estimated vehicle state by predicted state & sensor fusion technique from GNSS & LIDAR data by applying ES-Kalman Filter algorithm.

• Designed Matlab/Simulink based adaptive cruise model taking real time sensor data from Signal Builder.

• Calibrated PID controller for Level 2 autonomy to control speed and Headway distance of ACC vehicle from car in front.

• Developed PID controller for longitudinal and Pure Pursuit controller for lateral controls to navigate a self-driving car around a racetrack waypoint in the CARLA simulation environment.

• Constructed control strategies in Python for longitudinal and lateral control of the vehicle model. Product Development

• Developed Benchmarking and Pugh diagram to compare Full Size SUV attributes with competitor’s vehicle.

• Conducted interface and QFD analyses to relate customer voice with functional specification of vehicle.

• Developed a Business Plan, V-model timing plan and gateways, risks and challenges for the proposed vehicle.

• Decided trade-offs, developed DVP&R and technology plan to be considered in designing sub-system of vehicle.

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