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This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). Hybrid electric vehicles continue to be a part of the overall solution toward zero emission vehicles. To meet current and future demands in the HEV and PHEV markets, success will depend on engineering and support personnel having and maintaining a thorough understanding of HEV related technologies.

This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). Developing environmentally cleaner and more fuel efficient vehicles is transforming the automotive industry worldwide, particularly in China with its emphasis on new energy vehicles. There are many engineering challenges that must be addressed in designing effective new energy vehicles. The technical knowledge required to understand and make the right decisions with regard to powertrain architecture, powertrain controls, and energy management strategies is critical to success in this market.

This training class describes how to develop and safeguard safety critical embedded software in serial projects with Simulink in compliance with ISO 26262 (part 6). Beginning with a general overview of the ISO standard, we proceed by focusing on the ISO 26262 requirements that are specifically relevant to model based development. We address the impact the standard has had on model-based development with Simulink, as well as the requirements for model and software architecture in safety critical software. We also look at modeling guidelines and testing before wrapping up the class by assessing ISO 26262 readiness of controller functions.

This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). Driven by high fuel prices, environmental regulations, and consumer demand, the market for hybrid electric vehicles (HEV) has experienced rapid growth. Every major automotive company produces an HEV. There are approximately fifty different HEV models on the market and over eight million HEVs already sold. In order to meet current and future demands in the HEV and PHEV markets, success will depend on engineering personnel knowing how to develop and manufacture HEV powertrains.

This course examines ADAS and autonomous vehicle technologies that offer the potential to increase safety while attempting to optimize the cost of car ownership. LIDAR (light detection ranging) and Infrared camera sensing are seeing a rapid growth and adoption in the industry. However, the sensor requirements and system architecture options continue to evolve almost every six months. This course will provide the foundation to build on for these two technologies in automotive applications. It will include a demonstration model for LIDAR and Infrared camera.

This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). As the complexity of products increases, traditional text-based systems engineering can no longer meet the needs. To solve the problem, Model-based Systems Engineering offers a unified communication platform among relevant staff by carrying out diagram-based unambiguous description, analysis and design for the demand, and structure and behavior of complex systems in the form of a model.

This course, designed for EV motor engineers and graduate participants, systematically introduces EV motor design analysis and test verification. Combined with engineering practice, it discusses typical EV motor design cases and practical issues related to EV motor technology, aiming to broaden the horizon of EV motor design engineers and improve their problem-solving skills.

As the electrification of automobiles is on the rise, it is imperative that the capabilities and limits of the associated devices and systems be understood at a higher level than previously considered adequate. For example, the Tesla Model S has 62 electric motors while the Model X has 70! They propel the vehicle and provide comfort too. Their design must reflect the worst case operating scenarios, duty cycles, environment, country of use and its standards, etc.

This course is verified by Probitas as meeting the AS9104/3A requirements for Continuing Professional Development. This course serves a dual purpose: it delves into fundamental DFMEA principles and their practical applications while also offering guidance on leading DFMEA teams. Participants will be introduced to crucial FMEA concepts, along with the theoretical foundations before exploring how to implement these concepts in their DFMEA endeavors. Often, the FMEA process can become a mere replication of past efforts, which poses risks for both organizations developing the products under scrutiny and the end-users.

This course is offered in China only and presented in Mandarin Chinese. Driving simulator is a key component of automotive interactive design, which can provide objective data to support both the effectiveness of design and user experience. On the other hand, driving simulator and the design of its experiments are major challenges, as improper experiment design will lead to consequences such as failure in identifying designing errors of the interactive design itself.

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.

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.

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 to build LIDAR technologies in automotive applications.

This course is offered in China only and presented in Mandarin Chinese. There appears to be a significant gap between Chinese and international hybrid technologies in terms of vehicle fuel consumption, system integration, and cost control. This course has been designed to increase an engineers’ knowledge of hybrid transmission development, hybrid system design, and hybrid vehicle powertrain integration. The course focuses on energy efficiency in electric vehicles (EV) and hybrid electric vehicles (HEV) fuel economy while maintaining and improving engineering for optimal power and performance, cost control, and occupant comfort.

This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese). Energy conservation and emission reduction has always been a goal for many countries. Especially since the introduction of China VI Vehicle Emission Standards and CAFC & NEV Credit Regulation, the output of NEVs has grown explosively while accompanied by a large number of car fire burning problems and complaints about the shortening of proclaimed electric-only driving range.

Use of Model-Based Systems Engineering (MBSE) has been growing across industry, extending beyond defense and aerospace to include various commercial enterprises such as automotive and healthcare. Tool vendors are quick to point out benefits of this model-based approach and practices but are not always clear how MBSE benefits can be realized on a project. When deployed successfully, several key considerations should be addressed that maximize the value for a use-case. This four-hour class will discuss the nature and purpose of the MBSE approach and how key information is used for successful MBSE deployment as it relates to Systems Management.

This course is offered in China only and presented in Mandarin Chinese. Developing environmentally cleaner and more fuel efficient vehicles is transforming the automotive industry worldwide. There are many engineering challenges that must be addressed in designing effective new energy vehicles. The technical knowledge required to understand and make the right decisions with regard to powertrain architecture, powertrain controls, and energy management strategies is critical to success in this market.

This course is offered in China only and presented in Mandarin Chinese. The course materials are bilingual (English and Chinese).   More and more stringent emission and fuel consumption regulations are pushing the automotive industry toward electrified powertrain and electrified vehicles. This is particularly evident in China, where there is an increased demand for  (EV) and (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).

This course is offered in China only. The course starts from the core concept of MBSE and primarily introduces the commercial setting of MBSE in industry practices. It covers a range of topics from conceptual clarity and mindset shifts to modeling strategies, aiming to build comprehensive end-to-end MBSE capabilities. I will present the specific industry practice of MBSE in fields such as aerospace and automotive, share insights on processes, methodologies, and toolchain strategies, among others. MBSE transforms the fragmented representation into traceable digital models by using a single data source model.

This training class provides a comprehensive overview of the principles, processes, and objectives of model testing – from requirements to model tests. We offer step-by-step guidance from creating requirements-based test specifications, through testing TargetLink and/or Embedded Coder models, to automated test evaluation based on test assessments and back-to-back/regression tests. In particular, we will emphasize ISO 26262-compliant test management and explain the test process for MiL and SiL, as well as tracing requirements to test specifications and test assessments.