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Powertrain controls Engineer

Location:
Hurontown, MI, 49931
Salary:
70000
Posted:
March 18, 2019

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Resume:

**** *, ******* ** ******* Sarkar 906-***-****

Houghton, MI 49931 www.linkedin.com/in/animesh -sarkar ac8tq4@r.postjobfree.com

Seeking Full-time opportunities in the field of Powertrain controls development & ADAS

Graduate student with expertise in automotive control systems, signal processing and Vehicle Dynamics. Have hands on experience on designing & testing controllers for ADAS applications, engine subsystem, and Hybrid vehicle architecture. Professionally experienced in product development & quality control through internships.

EDUCATION

Michigan Technological University (MTU) Houghton, MI

MS Mechanical Engineering GPA: 3.86 Expected May 2019

(Focus: Automotive controls, HIL, signal processing, HEV, Vehicle Dynamics)

Udacity Self-driving Car Online program

Nano Degree (Focus: Autonomous vehicles, Artificial intelligence) Expected July 2019

TECHNICAL SKILLS:

MATLAB Simulink C++ Python LabVIEW CAN King CATIA Solid works ANSYS GD&T LMS Test.lab Minitab SAS Signal Processing AMEsim DSpace Altair Hyper works HIL Optimal control ADAS Project management DOE Microsoft Office MSC Adams

ENGINEERING PROJECT EXPERIENCE

Autonomous Driving using Deep Neural Network Udacity (January 2018-Present)

Simulated a self-driving car using Convolutional Neural Networks and Computer Vision.

Developed a deep learning model to that can identify between 43 different Traffic Signs using Keras Python.

Closed loop feedback for Electronic throttle using CAN Michigan Tech (Feb-May 2018)

Set up a HIL component level test for throttle body system using dSpace (DS 2210) supported by Control desk.

Designed a feedback controller using Simulink with appropriate gains for rapid prototyping.

Implemented CAN protocol and TCP/IP using CANape to test remote ETC. control for optimal controller response.

Autonomous cruise control simulation (ADAS) Michigan Tech (September 2018)

Implemented LQR controllers to calculate headway and velocity. Optimized a rule-based controller for execution.

Optimized controller gains and advanced control strategies based on chassis dynamics. Combined the vehicle speed and headway controller using State flow logic in Matlab/Simulink

Power Unit Testing SAE Super mileage Enterprise Michigan Tech (Oct-Dec 2018)

Performed base fuel and spark tuning on an eddy current dynamometer & guided full calibration process.

Using NI Lab View model studied BSFC curve for Briggs & Stratton Engine to identify optimal fuel ratio

Model based embedded controller for a Hybrid Vehicle Michigan Tech (Feb-May 2018)

Engineered a model based embedded control system for a Hybrid Vehicle using Simulink/ Matlab & state flow followed by subsystem level SIL testing.

Executed real-time validation using HIL testing on Moto Tron desktop simulator to optimize PID controllers, & calibration factors.

Analysis of Mild hybrid, PHEV, Fully Hybrid models on Simulink Chalmers (Online) (Sep-Dec 2017)

Optimized control strategy for various models to estimate specific fuel consumption and maximum range.

Energy efficiency of PHEV tested based on all electric range and SOC evaluation for City and highway drive cycles.

INTERNSHIP EXPERIENCE

Primetals Technologies, USA, May-August 2018

Project Engineer Intern

Spearheaded the development of a budget-tracking tool to reduce staff allocation by 30%.

Expedited project scheduling, purchase order bids for a $25M project by working with cross-functional teams.

Developed prototype & finished product CAD designs for tension leveler cold rolling project for AM-Weirton.

Streamlined research for nonstandard components vendors to reduce procurement costs by 65%.

CERTIFICATION:

Automotive Systems and Controls—Graduate Certificate (Michigan Tech) Sept 2017-Dec 2018

Developed skills in control theory and applications suitable for self-parking systems, automatic cruise control technologies, integrated powertrain control, autonomous vehicles—innovation is driving the mobility revolution.

Sensor Fusion and Non-linear Filtering for Automotive Systems (Edx online) Jan 2019 – Present

Basics of Bayesian statistics and recursive estimation theory. Describe the essential properties of the Kalman filter (KF) and apply it on linear state space models.

LEADERSHIP / MANAGEMENT EXPERIENCE

Business manager of MTU LODE (student newspaper): Generated revenue of $3000 in 4 months through advertisements and collaborations with local businesses and on campus student organizations.

Hobbies: Blogging and writing for MTU Lode, Rock Climbing (Belay certified), DIY projects with home appliances.



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