Chinese Standard ICV-L4: New Strategy, New Platform, New Market
Professor in Tsinghua University
Academician of Chinese Academy of Engineering
Dr Jun Li, a graduate with PhD majored in internal combustion engine of Jilin University of Technology in 1989. Now he is the Chief Engineer of China FAW. In 2009 Dr.Li was elected FISITA President 2012-2014 (FISITA stands for The International Federation of Automotive Engineering Societies),
He is Vice Chairman of Society of Automotive Engineers of China, Vice President of China Internal Combustion Engine Industry Association, Member of Reviewer Committee of National Office for Science & Technology Awards, President of China Automotive Electronic Infrastructure Software Industry Alliance, Vice Chairman of China Auto Talents Society, Director of Technical Committee of China Industry Technology Innovation Strategic Alliance for the Intelligent and Connected Vehicles(CAICV).
Academician Li has been engaging in research and development for automotive engine, automotive electronics as well as new energy vehicles for 30 years, with great contribution and outstanding achievements. His contribution was great with added production output of 25 billion RMB for China FAW, under his leadership with the development of heavy duty diesel engines, gasoline engines, equipped for the heavy duty trucks, off road vehicles as well as Redflag of limousines. As regard to strategies of intelligent and connected vehicle he proposed and implemented FAW ZhiTu technology strategy and roadmap. He also carried out 3 significant special EV projects regarding research and development of new energy vehicle since 2001. He invented strong hybrid configuration with motor, engine and transmission, first strong hybrid and PHEV car was fabricated in China, numerous research work was carried out under his leadership, including 3 hybrid buses.
Automated driving R & D program in Japan – SIP-adus –
Chief Safety Technology Officer Secretary
Executive General Manager
From 2011, He is a Chief Safety Technology Officer Secretary, work in safety technology planning group of TOYOTA MOTOR CORPORATION. His role is strengthening vehicle safety performance in TOYOTA.
He received“Special award of appreciation” from U.S. Government in ESV 2007.
From 2016, He is a Program Director for SIP (Cross-ministerial Strategic Innovation Promotion Program) Automated driving systems Cabinet Office, Government of Japan.
A report on the latest Japanese national R&D project, which is SIP-adus (Automated Driving system for universal services) will be presented. SIP-adus is a five-year research program on connected and automated driving led by the Japanese government that began in 2014. Beginning in 2016, the project prioritized five cooperative themes (Dynamic Map, human-machine interfaces (HMI), cyber security, pedestrian collision reduction, and next-generation transport). Large-scale field operational tests started in October 2017 around Tokyo area in order to integrate and evaluate achievements. More than 20 entities have participated to date. Latest status will be addressed.
Will Autonomous Driving be able to fulfill the driver´s requirements?
Prof. Wallentowitz studied mechanical engineering/automotive engineering at Braunschweig University. He worked at the Institute of Automotive engineering at TU Braunschweig and in addition to several tasks (for instance autonomous driving of trucks and busses on a cable), he wrote a PhD-thesis about Driver-Vehicle-Side Wind.
The industrial employment started at Daimler-Benz AG in series development and finally he was the leader of an advanced development department. Topics of work: 4Matic four-wheel drive, vehicle stability control, air springs, shock absorber control, clutch and overrun systems.
Prof. Wallentowitz continued the industrial employment as chief engineer chassis advanced development at BMW AG in Munich. Main topics: suspension design, electronic suspension systems like rear wheel steering, shock absorber control, active suspension, air spring systems, electronic controlled four-wheel-drive, vehicle dynamics control, tire pressure control.
Finally Prof. Wallentowitz was the managing director of BMW Technik GmbH. Topics: electric vehicle E1, small cars like Z13, double clutch gear box, electric- and hybrid vehicles.
From 1993 to 2008 Prof. Wallentowitz was University-Professor at Rheinisch Westfälische Technische Hochschule (RWTH) Aachen. He was the director of the Institute of Automotive Engineering with the departments: chassis, car body, drive train, acoustics, electronics, traffic simulation, strategy analysis.
In addition Prof. Wallentowitz was a member in several advisory boards and he was a visiting Professor at Universities abroad.
Autonomous Driving is a modern research field, especially in combination with connected cars, getting information from different sources. Business cases are expected by individual cars and by the use of public transportation without drivers.
The presentation will have a look into the history of autonomous driving. There have been several projects, which failed to be realized in the daily life. The reasons for these disappointments will be discussed. Now we may have a new situation, as technology changes a lot. The advantages (or disadvantages) of these new solutions will be looked at.
One additional factor for the acceptance of autonomous cars will be the adaptation to the human driving styles. Measurements in cars or in driving-simulators shall highlight this effect. Even here, several former research works are already available. It is for instance known that, when driving under side wind gusts, automated guided vehicles should measure this side wind to counteract. From human drivers it is known that they adopt themselves to the vehicle dynamics and that they even use markers on the cars (for instance on the hood) to optimize the road holding of the cars. The transfer functions of the combination drivers-vehicles are very similar, even when the transfer functions of the vehicles alone are quite different. The results of former basic research work will be shown and discussed.
As the autonomous vehicle probably must have dynamics similar to the real driver´s behavior, it seems to be necessary to find a solution to identify the human preferences. Therefore the cooperation between driver- and vehicle-dynamics must be available. Cars without a steering wheel and without foot pedals will not have the control loop to identify the drivers wish. It may be reasonable to rethink the design of the autonomous cars.
Towards the Introduction of Automated Driving – Current Challenges and Research Activities
Dr. -Ing. Adrian Zlocki, Head of Automated Driving Department, fka
Dr.-Ing. Adrian Zlocki studied automotive engineering at the RWTH-Aachen University (Technical University Aachen). During his studies he stayed abroad for one research semester at the POSTECH University in Pohang, South-Korea. Since 2004 he has been employed as a Scientific Engineer at the ADAS department of the “Institut für Kraftfahrzeuge der RWTH Aachen University“ (ika), the Institute for Automotive Engineering. Between 2007 and 2010 he lead a research group in the field of ADAS development and assessment at ika. He is currently head of fka’s Automated Driving department.
Automated driving is a mega trend in current research and development projects. Demonstrator vehicles are available and are being tested by various companies. Current research activities are focusing on the impact assessment of automated driving in order to calculate the benefits. Since these vehicles are not yet introduced into the market, prospective analysis methods are necessary. In contrast to impact assessment methodology of active safety systems, it is expected that automated driving will chance the frequency of driving scenarios due to automation.
Furthermore, one of the main challenge for the introduction of automated driving is the need of a safety assurance methodology. A holistic approach for combining methods for an effective design and evaluation of automated driving along the product development process in necessary. Available methods and tools need to be combined. The core of this methodology is a database of relevant scenarios, which stores scenarios based on collected data.
In the PEGASUS project a framework is under research on how existing methods and tools can be used in an integrative approach to access the mutual dependencies between system effectiveness, acceptance by users, controllability and functional safety. The PEGASUS database and the overall process contribute to the safety assurance methodology for automated driving.
The presentation will focus on current challenges and research activities. Projects like L3Pilot (funded by the European Commission) and PEGASUS (funded by the German Federal Ministry for Economic Affairs and Energy) are presented and the current state of the art is given.