System Dynamics CAE/Control Algorithm Design/CAD

Sijie Yu

***** ********** ****, *** ***, Farmington Hills, MI, 48334 Mobile: 614-***-**** Email: ***********@******.***

Summary

Strong skills in system modeling, simulation and control

Hands-on experience with project management, experiments design, data processing and complex system modeling and control

Experience in MATLAB/Simulink, C++/Python, LabVIEW, CAN, vehicle dynamics and control system design

Outstanding communication skills, eagerness to learn and improve, self-motivated and able to work in fast, intense environment

Objective: Seeking for full-time job in engineering field, available immediately.

Experience

Graduate Research Assistant, The University of Texas at Austin 08/2016 – 05/2017

A Cyber-Physical System Implementation for a Hydro-Pneumatic Pulse Forming Network

Modeled and Simulated a multi-line hydro-pneumatic Pulse Forming Network (HPPFN) using Matlab

Enabled remote monitoring and control by integrating Cyber-Physical System architectures into the open loop HPPFN

Added failure detection into the open loop HPPFN to enhance system reliability and to make maintenance easier

Ensured efficient and optimized operation in wide ranging source/load conditions for high system flexibility

Implemented CPS on complex nonlinear uncontinuous system where classical/modern control approaches are hard to apply

Senior Research Project Lead, Honda R&D Americas/The Ohio State University 08/2014 – 05/2015

Elastomeric bushing and suspension layout tuning and calibration for improved ride and handling performance

Created and analyzed multi-body dynamics model of MacPherson Strut suspension and Trailing-Arm suspension in SimMechanics

Developed test profiles to simulate ride and handling phenomena in the suspension model using SimMechanics and ADAMS

Applied Genetic algorithm to search for the optimal suspension layout, bushing properties and orientations in Matlab

Improved ride/handling performance of the suspension by 15% using both manual tuning and machine learning

Optimal Control Design for Maglev Suspension System, The University of Texas at Austin

Modeled and simulated a Maglev suspension system in MATLAB/Simulink

Designed open-loop optimal control for the suspension gap deviation to reach zero in finite time

Designed and tuned closed-loop LQR and tracker to control the gap between Maglev train and rail

Designed reduced-order observer to compensate for limitations on sensor availability

Driving Simulation and Data Analysis, Center for Automotive Research at The Ohio State University

Conducted straight-line braking test and SAE J266 Circle test on a vehicle motion simulator (MOOG 2000e motion base)

Processed and analyzed the driving performance data in Matlab to study understeer/oversteer characteristics of the given vehicle

Calculated and implemented threshold braking to avoid locked up wheels to increase vehicle stability

Identified the cause of understeer as the location of the inboard joint of the relay linkage and the compliance of the steering system

Vehicle Performance Simulation using CarSim, Center for Automotive Research at The Ohio State University

Analyzed conditions that induce rollovers during a Double Lane Change test at various speed for different vehicles

Modified the given vehicle to reduce understeer during a constant speed circle test

Conducted ABS on/off test on split friction surface, built ABS model in Matlab to achieve the same functionality as a real ABS

Optimized the pitch and bounce motions of a vehicle over a small sharp bump by changing its front/rear suspension stiffness

Education

Mechanical Engineering (M.S.), The University of Texas at Austin, Austin, TX 05/2017

GPA: 3.857/4.0, Master’s Thesis: A Cyber-Physical System Implementation for a Hydro-Pneumatic Pulse Forming Network

Mechanical Engineering (B.S.), The Ohio State University, Columbus, OH 05/2015

GPA: 3.8/4.0, Graduated w/magna cum laude and Honors Research Distinction

Minor in Computer Science and Engineering

Skills

Technical: Proficient in Matlab/Simulink, Experience with LabView, CarSim, C++ (Linux & Visual Studio), CAN, FEA w/ANSYS, CFD-CHT w/ANSYS, Solidworks, CATIA, Python, ADAMS, PLC, Microsoft Office, Machine Learning, Arduino

Languages: Bilingual, Speak fluently and read/write with high proficiency in English and Mandarin Chinese

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