adazcc@r.postjobfree.com Aditya Kulkarni *** N Squirrel Rd

+1-906-***-**** https://www.linkedin.com/in/aditya-kulkarni92/ Auburn Hills, MI-48326

SUMMARY

Performance driven and detail-oriented engineering professional with recent experience in ADAS vehicle testing and Validation.

MS in Mechanical engineering with specialization focused on automotive control systems, hybrid electric powertrain design, automotive testing and validation.

Worked on developing model-based controller for ADAS application, Engine sub-systems and hybrid electric powertrains.

Hands on experience in HIL, SIL and MIL simulation of automotive control systems.

Seeking full time opportunities.

COMPUTER and TECHNICAL SKILLS

Programming tools: SAS, MATLAB, Python, and C programming

Simulation tools: Simulink, Stateflow, MotoHawk, NI LabView, LMS Amesim, Minitab, DET and MotoTune

CAD/CAE tools: CATIA V5, AutoCAD, Pro-E/Creo and Ansys Workbench

CAN tools: CanKing, CANape, CANoe, CANalyzer

Significant knowledge of ADAS, Data acquisition systems, ISO 26262 and CAN communication protocol.

PROFESSIONAL EXPERIENCE

ADAS Vehicle Test and Validation Engineer, Aptiv July 2019 – Nov 2019

Worked on FORD DAT 2.0 project. Developing and executing test plans for autonomous vehicles.

Validated functional requirements for advanced active safety features such as Blind Spot Information System, Adaptive Cruise Control System, Pre-Collision Warning and assist, Lane Threat Assist, Lane Change Warning and Assist System and Cross Traffic Alert System.

Reprogrammed the ADAS host and Mobileye software for camera as well as medium and short-range radar modules using DET (Diagnostic Engineering Tool).

Created test result reports and developed test cases in Polarion.

Analyzed test data logs using Canoe/Canalyzer, MATLAB and Data View Tool.

Tracked and resolved the vehicle and testing hardware integration issues.

Lead on and off-site testing activities, including resolution of vehicle integration issues and test execution.

Worked within issue and project tracking system (JIRA) to communicate validation test issues with feature engineers and performed root cause analysis for feature performance and functionality.

Worked on tracker and vision system (Camera) to analyze the performance.

Graduate Apprentice Trainee, Testing and Validation, Lear Corporation, India Feb 2015 -Feb 2016

DV/PV testing and homologation of automotive seating systems and instrument panels of vehicles using servo Hydraulic and Pneumatic testing equipment.

Used a portable CMM(FARO) to measure and record the design parameters of the seat assemblies.

Developing test setups with assigned equipment according to the international automotive standards and specifications.

Got insights into structural, functional durability and passive safety tests.

Learnt international automotive standards such as FMVSS, ECE, AIS, ADR and SAE.

SAE INDIA: BAJA May 2011-May 2012

Active team member of Team Resonance Racing. Member of a team involved in design and manufacturing of chassis and transmission system.

Designed, fabricated and tested transmission and braking system for an ATV.

PROJECT EXPERIENCE

Designed an embedded control system for HIL testing of a C-HEV module Spring 2019

Developed, calibrated and did HIL/MIL simulations on a model-based control system using Simulink, Stateflow, MotoTune, and MotoHawk for a C-HEV.

Performed interfacing and digital control of an accelerator pedal, Bosch electronic throttle body, NTC thermistor, fuel injector and potentiometer based on the developed control system.

Remote Electronic Throttle Control (ETC) using CAN communication Spring 2019

Developed a control system for ETC based on CAN communication between two ECUs.

CAN communication was analyzed with parameters like payload manipulation, ID filtering, endianness, CAN bus monitoring and real-time calibration.

Fuel Injection control and validation using MotoTron rapid prototyping system. Spring 2019

Simulink-MotoHawk model was designed with the Start of injection and injection duration as outputs with engine RPM as an input. Temperature compensation and protection model was implemented.

The injection pulse was verified using MotoTron rapid prototyping system and digital oscilloscope. 36-1 Reluctor wheel was used to emulate the crank operation.

Model-based design of a Hybrid electric vehicle powertrain Fall 2018

Designed a powertrain controller by implementing a torque blending strategy to improve fuel economy and performance of the vehicle using LMS Amesim.

Analyzed the tractive effort and state of charge of the battery for different driving scenarios and drive cycles using Model-In-The-Loop (MIL) simulation.

Emission analysis of a CI engine using a 5-gas emission analyzer Spring 2019

The objective of the project was to use 5-gas emission analyzer to measure emissions of Cummins ISB 6.7 DI engine with an eddy current dynamometer.

Effects of individual exhaust constituents were analyzed on air-fuel ratio and Lambda.

Digital signal processing and design of digital filters Fall 2018

Created algorithms for order tracking of an electric motor and designed different digital filters using MATLAB software tool to process the digital signals.

Project Experience in Automotive Control Systems Michigan Technological University Fall 2017

Designed a fuel control system for a spark ignition engine using a PID controller, based on air and fuel dynamics.

Designed an idle speed controller for an SI engine using LQR controller to maintain engine speed to a set value.

Designed an intelligent cruise control system to maintain speed and headway distance from the lead vehicle.

Designed an optimal control strategy for a hybrid electric vehicle using dynamic programming and model predictive control.

Evaluation of the performance of engine transducers. Fall 2017

The goal of the project was to use the Design of Experiment (DOE) methods using Minitab software to minimize the number of test runs needed to draw reliable conclusions involving pressure transducer evaluation.

Design of Energy management system in Hybrid electric vehicle Spring 2018

Developed a model-based energy management system using subsystems like battery model, engine, power electronics, electric motor, transmission, and brakes.

Designed and implemented a battery management system with a Lithium-ion battery model for a hybrid electric vehicle.

EDUCATION

Michigan Technological University (GPA – 3.67) MS in Mechanical Engineering May 2017 - May 2019 University of Pune (GPA – 3.5) BE in Mechanical Engineering May 2010 - May 2014

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