Vehicle Architecture for Hybrid, Electric, Automated, and Shared Vehicle Design C2206

Topics: Advanced Technologies


Electric and hybrid vehicle engineers and designers are faced with the important issue of how to adequately configure required powertrain system components to achieve needed performance, occupant accommodation, and operational objectives. This course enables participants to fully comprehend vehicle architectural/configurational design requirements to enable efficient structural design, effective packaging of required components, and efficient vehicle performance for shared and autonomous operation. The importance of integrating these design requirements with specific vehicle user needs and expectations will be emphasized. In-class individual and group projects will enable participants to gain practical experience in applying gained knowledge of efficient electric and hybrid vehicle component packaging strategies. 

Designers and engineers responsible for vehicle physical design integration will find the course topics most useful for developing efficient vehicle design.

Learning Objectives

By attending this course, you will be able to:

  • Define vehicle architecture and the specific requirements of an architecture for hybrid and electric vehicles
  • Differentiate between vehicle motor/transmission design packaging for conventional electric motor and in-wheel electric motor design
  • Recognize the design requirements for effective electric vehicle battery placement, mounting, and enclosure design
  • Identify the sensor types, functions, and packaging requirements for autonomous electric vehicle operation
  • Recognize the importance of passenger entry and egress design for autonomous vehicle usage
  • Illustrate reconfigurable seating design options for shared electric vehicle passenger/delivery autonomous vehicle design

Who Should Attend

This course is designed for electrical application engineers, design engineers, project managers, and other positions within EV development working with or transitioning to electric powertrain development. It is intended for those who have a basic understanding of hybrid and/or electric vehicles who are seeking to increase their knowledge and understanding of electric vehicle system applications.

Prerequisites

An engineering degree is highly recommended, but not required. This course does not cover basic electrical concepts and assumes that the participant already understands such concepts (voltage, current, resistance, capacitance, inductance, etc.).

You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.

DAY ONE
  • Module 1
    • Course Introduction
    • Vehicle Architecture Definition
      • Vehicle architecture for different classes of automotive design will be defined, emphasizing the benefits of applying common vehicle architecture throughout a vehicle product portfolio
    • Example of Hybrid & Electric Vehicle Architecture
      • BMW strategy described using CUICAR Deep Orange 7 Vehicle Development Program
    • Different Company Design Approaches to Hybrid & Electric Vehicle Architecture
      • Design approaches for GM, BMW, and VW discussed
    • Module Summary
  • Module 2
    • Hybrid & Electric Vehicle Architecture for Driven Vehicles
      • Hybrid electric passenger vehicles
      • Electric passenger vehicles (battery & hydrogen powered)
      • Electric pick-up trucks
      • Electric delivery vehicles (battery & hydrogen powered)
    • Module Summary
  • Module 3
    • Automated, Connected, Electric, and Shared (ACES) Vehicles
      • Development forecast
      • Vehicle topology comparison
      • Impact of ACES Vehicle Technology on vehicle design, materials, and manufacturing
    • Module Summary
  • Module 4
    • Automated, Connected, Electric, and Shared (ACES) Vehicle Design for Sensor, Passenger, and Structural Integration
      • ACES driving system sensors & architecture
      • Sensor integration
      • Passenger integration
      • Structural integration
    • Module Summary
    • Assignment: Selection of battery enclosure materials (steel, aluminum, magnesium, fiber-reinforced composite)
- DAY TWO
  • Module 1
    • Case Study 1: Design & Assembly of a Passenger Autonomous Vehicle
      • CUICAR Deep Orange 10 Development Program
    • Case Study 2: Design & Assembly of a Reconfigurable Passenger/Delivery Autonomous Vehicle
      • CUICAR Deep Orange 11 Development Program
    • Module Summary
  • Module 2
    • Battery Enclosure Materials Section Assignment Discussion
    • Focused Project Team Assignment: Autonomous vehicle development plan for uptown city implementation
  • Module 3
    • Project Team Work Session
  • Module 4
    • Project Team Report and Discussion: Autonomous vehicle development plan for uptown city implementation
  • Course Summary
  • Course Assessment
    • ◦Learning Assessment on all aspects of the syllabus, to confirm level of student Competence

David Schmueser 

David Schmueser David Schmueser joined CU-ICAR in August 2013 as Adjunct Professor of Automotive Engineering. He also is a consultant to the US University Program at Altair Engineering, where he served as University Program Manager, 2007-2015. He received his BS and MS degrees in Engineering Mechanics, and a PhD degree in Mechanical Engineering, all from the University of Michigan-Ann Arbor. Prior to joining CU-ICAR and Altair, Dr. Schmueser worked as a research engineer at Battelle Memorial Institute in Columbus, Ohio and as a senior staff engineer at General Motors Research Labs in Warren, Michigan. He was also an Adjunct Professor in the Mechanical Engineering Department at Wayne State University in Detroit, Michigan, 1993-2007. Dr. Schmueser has over 30 years experience in light-weight materials design, vehicle optimal structural design, and computer-aided-engineering instruction. He currently serves on the Board of Directors of the College-Industry Partnership Division of the American Society of Engineering Education.

Duration: 2 Days
CEUs: 1.3

Format: Virtual

Event ID: S-00501

Location: Live Online

Session Info:

  • Session 1 - November 19 (8:30 a.m. - 4:30 p.m. ET)
  • Session 2 - November 20 (8:30 a.m. - 4:30 p.m. ET)
    2 Sessions


  • Fees: $1,299.00

    Price is listed by session and may vary based on geographic location.

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    Contact Steve Bremer for more information on private team training and training packages, at Steve.Bremer@sae.org

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