Please join us for the:
Fall 2024 Dinner Event: Reliability of Autonomous & Electric Vehicles
Date: Tuesday, October 8, 2024
Time: 5:30 pm Social Hour: Fellowship and Networking)
6:00 pm Dinner (Note: early dinner due to "2 for 1" event
6:45 pm Presentation by Social Sponsor
7:00 pm Main Presentation
8:20 pm Questions & Comments
Location: Trestle Stop 3366 M-40 Hamilton, MI 49419
Cost: All attendees welcome.
Members and Non-members $35.00
Students and unemployed $20.00
Payment: Check or cash at the door.
Sorry, we are unable to take credit or debit cards.
RESERVATIONS: JohnCLobo@Eaton.com
You MUST sign up by Wednesday, October 1, at NOON.
Social Sponsorship spot is available! Please let John Lobo know if you like to promote your business.
SPEAKER BIO:
Dr. Jay Zhou is recognized as a distinguished SAE Fellow and Mentor, as well as an ASQ Fellow. He had worked at Ford Motor Company with a wealth of global experience in quality and new product launch. Dr. Zhou held various leadership roles, including Vice President of Ford Asia Pacific, Corporate Executive Technical Leader, and member of the Technology Advisory Board (TAB). His academic journey includes earning M.S. and Ph.D. degrees from the University of Michigan. He has published over 30 technical papers and has attained a US patent in the field of vehicle durability. He has also trained over 15,000 engineers in more than 20 countries.
PRESENTATION DETAILS:
This will be a “2 for 1” Lecture. The board could not decide whether we were more interested in Autonomous or Electric Vehicle issues, so Dr. Zhou agreed to present both. That means our social hour will be a little short, so please try to arrive on time, so our salads will be fresh and onion rings hot!
Part #1: Reliability of Autonomous Vehicles
This part of the presentation offers an overview of Reliability Design and Analysis for Autonomous Vehicles, focusing on a framework designed to prevent failure modes in the development of autonomous vehicle reliability. The following topics will be explored in the lecture:
• Fatalities of Different Transport Modes
• Motor Vehicle Fatalities (drunk driving, distraction and speeding)
• SAE J3016 Levels of Driving Automation
• Disengagements of Autonomous Tests
• Crashes of ADAS-Equipped Vehicles
• Crashes of ADS-Equipped Vehicles Tested on Public Roads
• AI/Machine Learning in AV
• Sensor Robustness (Camera, Radar, Lidar)
• Redundancy for Reliability. Failure Mode Avoidance
Part #2: Reliability of Electrical Vehicles
This part of the presentation introduces Reliability Design and Analysis for Electric Vehicles, covering strategies for avoiding failure modes in hardware, software, and human errors. Since there are many reliability issues that are not vehicle type specific, we’ll have time for an overview of both types of cars. Of course there are going to be autonomous electric vehicles as well. The discussion will encompass the following topics:
• Current EV Reliability (Recall, Reliability Ranking, Initial Quality)
• Battery Cell, Module and Pack
• Major Battery Loadings. Major Battery Failure Modes
• EV System Engineering Models. EV Robust Models
• Battery Module Design for Reliability
• Computer Simulation for Reliability
• Charging Station Reliability
• Reliability (Mechanical, Electronics, Software)
Menu: Family Style Meal including:
Fried Mushrooms and Onion Rings, Salad, Rolls, Baked Chicken, BBQ Ribs, Redskin Potatoes, German Veggie Blend (Green and Yellow Beans and Carrots), Coffee, Tea, or Lemonade.