Xing Xing
Technical Lead in vehicle dynamics and NV control integration
- Role
- Technical Lead in in Vehicle Dynamics and Nvh Control Integration at General Motors
- Location
- Milford, MI, US
- LinkedIn followers
- 500 followers
About Xing Xing
Lead vehicle dynamics and NVH control integration simulation work in General Motors. Doctoral degree in vibration and dynamics. Ten years’ CAE modeling and analysis experience in multi-body dynamics (MBD). Six years’ work experience on EV program and control integration. Develop and lead the driveline control integration workspace in GM NV VDDV team from zero. Lead and manage work in control integration and new MBD software methodology development work. Proficient with vehicle dynamics tools such as Adams, SIMPACK and Simulink co-simulation. Proficient with programming using Matlab, Java, Python, etc.
Experience
Technical Lead in in Vehicle Dynamics and Nvh Control Integration
Oct 2022 — Present · Milford, MI, US
Lead, coordinate and manage work in control integration between NV VDDV and VMEC, lead methodology development projects to improve control algorithm using MBD/Simulink co-simulation• Lead and manage new software Simpack transition work and develop analysis methods using Simpack • Lead real-time simulation functionality development with Simpack and VI-Grade in NV simulator • Develop new methodology and procedures in control integration such as electric motor torque ripple analysis, DDM/ABS wheel speed analysis, tip in tip out analysis, wheel hop analysis, frequency sweep analysis, etc. • Develop full vehicle MBD model using Adams, MotionView and Simpack, perform EV analysis such as vehicle ride and launch shudder analysis• Develop electric motor torque ripple analysis method, initiate and develop new EV vehicle requirement regulations and resolved the torque ripple issue in new vehicles• Lead NV/DDM scrum meeting and coordinate the work between NV and VMEC• Lead Simpack transition scrum meeting and coordinate the work between NV and vehicle dynamics• Perform analytical simulations to evaluate performance in full vehicle structures, present results to control team and vehicle performance team and generate actionable recommendations based on analysis • Correlate CAE models with physical test data as needed to establish accuracy in CAE models, work with calibration and test engineer to measure and interpret physical test data• Develop guidelines and tutorials in EV control integration from zero, mentor new engineers• Organize monthly Global Noise and Vibration CAE Technical Focus Groups meeting
Education
Udacity
Self-Driving Car Engineer Nanodegree Program, ADAS, self-drivng
2018 — 2019
Georgia Institute of Technology
Master's degree, Computer Science
Tongji University
Master's degree, Mechanical Engineering
2008 — 2011
Tongji University
Bachelor of Science (BS), Mechanical Engineering, Economics
2004 — 2008
Michigan State University
Doctor of Philosophy (PhD), Mechanical Engineering
2010 — 2014
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