This course is offered in China only. More and more stringent emission and fuel consumption regulations are pushing the automotive industry towards electrified powertrain and electrified vehicles. This is particularly evident in China, where there is an increased demand for electric (EV) and hybrid electric vehicles (HEV). Infrastructure is being built across the country for convenient charging. It must now be determined how to meet the technical targets for EV/HEV regulations under economic constraints and how to best develop the major ePowertrain components (battery and motor).
Driven by the need for lower emissions, better fuel economy and higher efficiency, hybrid vehicles are appearing in many different configurations on today's roadways. While the powertrain components such as the drive motor, motor controller and cooling system are somewhat familiar to the automotive industry, the battery systems are a relatively unfamiliar aspect. This seminar will introduce participants to the concepts of hybrid vehicles, their missions and the role of batteries in fulfilling those requirements.
Advanced Driver Assist System (ADAS) and autonomous vehicle technologies have disrupted the traditional automotive industry with potential to increase safety and optimize the cost of car ownership. Among the challenges are those of sensing the environment in and around the vehicle. Infrared camera sensing is seeing a rapid growth and adoption in the industry. The applications and illumination architecture options continue to evolve. This course will provide the foundation on which to build near infrared camera technologies for automotive applications.
Considering the increasing demand for vehicle intelligence, more and more students, engineers and researchers are involved in this field. It can be challenging, however, to gain an understanding of the growing variety of intelligent vehicle technologies and how they must function together effectively as a system. This course provides an overview of state-of-the-art intelligent vehicles, presents a systematic framework for intelligent technologies and vehicle-level architecture, and introduces testing methodologies to evaluate individual and integrated intelligent functions.