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).
Fatal accidents involving automated vehicles (AVs) have made it clear that safety is paramount to their acceptance, testing, verification, validation, and deployment. In fact, safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles, and understandably so, since safety has some of the most complex requirements in the development of such vehicles. However, there are many misconceptions involving safety and the concept of safety as applied to automated vehicles.
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.
Increased public pressure to improve commercial truck safety and new stopping distance regulations have intensified the need to better understand the factors influencing heavy vehicle braking performance. To assist individuals and their organizations in preparing for these new truck braking standards, this seminar focuses attendees on understanding medium-duty hydraulic brake systems and heavy-duty air brake systems and how both systems' performance can be predicted, maintained and optimized.
There is been tremendous progress in the application of technology and artificial intelligence to connected and autonomous vehicles. At the same time, there have been considerable advances in data science and data analysis that allows large data sets to be managed for results. This course introduces big data and analytics, focusing on how these will be applied to data generated by autonomous and connected vehicles. These technologies will be explained within the context of a smart city.
Hybrid Electric Vehicle (HEV), Plug-In Hybrid Electric Vehicle (PHEV), and Battery Electric Vehicle (BEV) technology model offerings and production volumes continue to accelerate with each model year. Advanced technology vehicle populations are significantly increasing throughout the world, making it vital for engineers, technicians, and educators to have a thorough understanding of these technologies and systems.
.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. Light detection and ranging (LIDAR) sensing, a sensing method that detects objects and maps their distances, is seeing rapid growth and adoption in the industry. However, the sensor requirements and system architecture options continue to evolve. This course will provide the foundation on which to build LIDAR technologies in automotive applications.
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.