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This 4-week virtual-only experience is conducted by leading experts in the autonomous vehicle industry and academia. You’ll develop an understanding of the fundamentals of AV architecture, including mechatronics, kinematics, and the sense-think-act framework in autonomous systems. The course builds a connection for how robotics are used in autonomous vehicles and provides you with demonstrations, procedures, and the skills necessary to program a robot with basic commands using the Robot Operating System (ROS).

Do you know what personal protective equipment (PPE), tools, and instruments are needed to keep you safe around high voltage (HV) vehicles? Are you aware of how to protect yourself or your employees when working around high voltage systems and platforms? Safety is paramount when working around any type of high voltage. As electric vehicles (EV) and EV fleets become more prevalent, the critical need for OEMs, suppliers, companies, and organizations to provide comprehensive safety training for teams working with or around xEV systems and platforms increases.

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.

This paper presents an analysis for evaluating electric machine and reducer specifications in conjunction with a comprehensive assessment of vehicle dynamics and drivability for an axial flux machine. The refence point for this study is a conventional central drive unit comprising a single electric machine, reducer, and differential. Powertrain architectures configured with two axial flux machines integrated as in-wheel drives as well as one axial flux machine mounted perpendicular to the chassis, are examined in comparison to the reference design. The study begins by establishing wheel-level traction force requirements and minimum power demands for a mid-sized vehicle. Subsequently, requisite machine and reducer specifications are derived based on these findings. Additional considerations encompass packaging constraints and efficiency thresholds.

This work examines the regenerative braking capacity using different torque distribution strategies for an independent-axle all-wheel-drive electric vehicle. A single-motor rear-wheel drive Cadillac LYRIQ provided by General Motors and modeled by MathWorks is being modified into an all-wheel drive architecture. The architecture under study has independently driven front and rear axles, driven by a 50 kW (peak power) front motor and a 182 kW (peak power at 350V) rear motor. The goal of the study is to evaluate and compare the regenerative braking capacity for different regenerative braking strategies. This study aims to assist in the development of the energy management algorithm for the Propulsion Supervisory Controller (PSC). Firstly, two variants of optimal regenerative torque distribution strategies are studied. One without power rate penalties and the other with a power rate penalty.