Powertrain Virtual Analysis Engineer

 
InDepth provides design and engineering solutions to a variety of industries and also offers staffing services to some of the most respected companies in the United States. We are constantly looking for talented and enthusiastic individuals to be a part of our team and we are highly invested in every employee's professional and personal growth. Visit our website at www.InDepthEngSol.com to learn more.

Job Summary:
  • The Powertrain Virtual Analysis Engineer is responsible for performing durability and NVH assessment of transmission housing, mounting, transfer case, adapter, flex plate, torque converter, axles and other trans/ driveline components using virtual analysis tools. 
  • The engineer will work closely with transmissions / driveline release groups, powertrain integration, suppliers, offshore CAE teams and other functional groups to proactively identify issues, develop solutions and meet program performance objectives and timings. 
  • The engineer will follow established methodologies, identify future improvements in analysis capability and document new analysis procedures. 
  • The chosen candidate will use commercial CAE tools such as, Hypermesh, Meshworks, Simlab, Abaqus and Nastran.
Job Description:
Responsible for working with electrified & hybrid powertrain (engines, transmission, battery & motor) engineers, including controls and calibration, to proactively drive ePT system level design and optimization through virtual analysis tools.
Responsible for developing 1D/2D/3D simulation models and control methodologies/processes from physical principles for high voltage and low voltage Lithium ion batteries (cells, modules, pack). 

Responsibilities will include, but not limited to;
  • Develop, test and correlate high-fidelity physics-based models for high/low voltage Lithium ion batteries for electrified and hybrid powertrains (equivalent circuit, electrochemical, coupled with thermal models etc.)
  • Develop aging models for Lithium ion high voltage batteries
  • Develop model predictive controls (MPC) optimization methodologies for balancing performance, aging, and energy management
  • Drive design using Computer Aided Engineering tools (Matlab/Simulink, Ansys Fluent, Comsol, etc. ) to meet the component & system performance, efficiency, durability, and reliability
  • Provide components design direction, and control strategy development & optimization through System Integration
  • Execute advanced projects for new methodology and process development
  • Document procedures, and write technical/progress reports
  • Coordinate between different release groups, global simulation teams and suppliers to identify risk and communicate virtual engineering results
Basic Qualifications:
  • Master of Science in Applied Physics, Electrical/Electronics, Mechanical, Electrical, Aerospace, Industrial, or Computer Engineering, or related Engineering, or Applied Mathematics field
  • Minimum two (2) years of experience in automotive powertrain area
  • Minimum of 1 year experience with battery cell/pack simulations or experiments
  • Deeper knowledge of one or more of the following automotive system areas; hybrid powertrains, electric motors, batteries, engines, transmissions, driveline, thermal systems, or controls
  • Deep knowledge of optimization methods and control methods
  • Excellent organizational skills and effective communication skills w.r.t. technical issues - both verbal and written
Preferred Qualifications:
  • PhD in Engineering
  • Experience with system modeling and analysis of electric and hybrid powertrain or vehicle level systems
  • Experience in calibration, HIL, experimental tests or vehicle/engine performance simulation, electrification PT (ePT) Systems

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