Sushil Kumar

Experienced Master’s student specializing in Model Based Design, closed-loop simulation, Electrified powertrain controls and integration. Two years of hardware integration experience. Skills include:

• Control system design and analysis in Matlab/Simulink • Model based design and system integration

• Hardware-in-Loop testing (dSPACE/NI LabView) • embedded controller (ECU) development

• DFMEA • Wireless communications, CAN

EDUCATION

Master of Science: Electrical Engineering, Arizona State University, Tempe, AZ; GPA: 3.96/4.00 October 2015

Thesis: Fuzzy logic based driving pattern recognition for Hybrid Electric Vehicle energy management.

Bachelors in Electronics & Communication: National Institute of Technology, Hamirpur, India; GPA: 3.5/4.00 May 2011

Project: Performance analysis of OFDM based Wireless Systems.

PROFESSIONAL EXPERIENCE

Team Lead - Engineering, EcoCAR-3, Arizona State University November 2013 – Present

Manage EcoCAR-3 sub-teams in the areas of Mechanical, Electrical and Computer, Controls Engineering, Systems Modeling, Simulation, Innovation and oversee all technical aspects of the program.

Design Hybrid electric powertrain and energy management control algorithms, perform plant/controller modeling, Simulation and MIL/SIL/HIL testing using Matlab/Simulink, embedded coder and dSPACE hardware.

Perform Vehicle-HIL with NI myDAQ and PXI over LabView for system validation; developed Distributed-HIL concept.

Summarize team’s EcoCAR-3 research by developing reports and research papers, delivering presentations before sponsors.

Engineer - Network Integration, Ericsson Worldwide June 2011 – August 2013

Expert resource for Network integration & Rollout; provided remote operations and maintenance support for global clients.

Worked with customers like Orange-Spain, ATM-Algeria, H3G-Italy.

Optimized script generation process of Ericsson proprietary tool DAMA; improving the activity time by 100%

Performer of the Month – WCDMA Radio Access Network Roll Out (WRAN-NRO), March 2013.

PROJECTS

Advanced Vehicle Technology Competitions – EcoCAR 3: Lead a team of 50 university students for US Department of Energy and General Motors (GM) sponsored Advanced Vehicle Technology Competition. Objective is to redesign 2016 Chevrolet Camaro into a performance hybrid.

Vehicle Hardware In-the-Loop for Equivalent Consumption Minimization Strategy validation: State-of-the-art vehicle development methodology to test and validate the control algorithms for the advanced hybrid powertrains by adding hybridization to a conventional powertrain using chassis dynamometer.

Model -Based Automotive System Integration: Fuel Cell Hardware-In-the-Loop with control Strategy implementation: Developing control algorithm in Matlab/Simulink for recognizing the drive cycle to predict the vehicle power requirements. Objective is to stabilize the Fuel Cell power output, reduce dynamicity and observe hydrogen consumption.

e-MIATA, Torque Trends Inc. (collaborative project with University): Electric Vehicle (EV) conversion of a Mazda Miata roadster, component integration, calibration and testing; Battery cooling system design; Packaging Optimization.

Internet Distributed Vehicle-HIL: Platform for an Automotive Development over Chassis Dynamometer: Developed a distributed platform for geographically dispersed Hardware-in-the-Loop setups. Used NI LabView DNP3 communication protocol to enable internet connectivity between Chassis Dynamometer and HIL setup over the internet.

ACHIEVEMENTS

US Department of Energy sponsored EcoCAR-3 research assistantship, Spring 2014 onwards

Ericsson Technical Certification Program on IP (ETCP-IP) Certified, June 2012

Certified Ericsson Excel telecom professional, February 2011

Prime Minister’s merit scholarship (Ministry of Defense, Govt. of India) recipient throughout undergrad studies.

TECHNICAL SKILLS

MATLAB, Simulink, Stateflow and Simscape

Autonomie, NI LabView (myDAQ, PXI)

ECU design with AUTOSAR

C, Python, Linux Shell Scripting

Embedded Control Systems

IPv4, CAN, DNP3 Communication Protocols