Build high fidelity EIBD system model (tribology, tribo-chemical, and electrical based) connected with in house electromagnetic models. The goal is to inform current and future design
Optimize the existing and innovate new EIBD characterization testing equipment and testing methods
Understand the existing EIBD migration system design and input variables
Validate and optimize model through tribometer level and drive unit level characterization testing
Analyze data and find most cost friendly EIBD mitigation solution which meet design requirements
Organize cross functional teams to tackle this system challenge
Optimize the current system tribology model
Apply tribology simulation to assist design projects
What You’ll Bring
Understanding tribological simulation of various contact mechanics and quickly build high fidelity models to predict tribological conditions to drive hardware design decisions
Understanding of EIBD mechanism in drive unit (drive inverter, electric motor, and gearbox), corresponding failure mechanism, and mitigation solutions
Understanding of bearing failure mechanism
Background in electrical engineering and mechanical engineering
Experience with data analysis software (e.g., MATLAB, Simulink, Python, etc.)
Experience in 3D modeling a plus. CATIA preferred
Experience with instrumentation, measurement, calibration, and tribology laboratory testing
Advanced degree in Electrical Engineering or Mechanical Engineering a plus
Modeling architecture experience a plus
Understanding of bearing lubrication a plus, working knowledge of drive unit a plus