Title: Advanced powertrain control system considering fuel diversity and driver behavior

Abstract:

The powertrain control system is becoming increasingly important in reducing CO2 emissions and energy consumption in the real world. Internal combustion engines are still important powertrain in the future and they are required to achieve fuel diversity and/or robustness for fuel composition, even in use of e-fuel. Driver also has a significant impact on CO2 emissions and energy consumption, and the control system design is required to understand and consider driver’s behavior. In this talk, I will highlight the engine control technologies to achieve fuel diversity, a prediction model of driver accelerator pedal operation and its feeling detection for the future advanced powertrain control system.

Biography: Yudai Yamasaki is a Professor in Department of Human Engineered Environmental Studies, Graduate School of Frontier Sciences, The Univ. of Tokyo. He received his PhD degree from Keio University 2003, PhD thesis was “Study on ignition and combustion mechanism of HCCI engine”. Oct. 2003, He joined as a researcher, Dept. of Mechanical Engineering, The University of Tokyo, where he engaged in developing engine control systems using biomass resources. His research interests include engine combustion and its control, alternative fuel, chemical reaction in ICE, combustion analysis and diagnostic, driver behavior and its bio signal sensing, and distributed energy systems. Recently he also challenges applying AI technology to power train systems and driver behavior prediction. He was also responsible for developing a control oriented–model and also managing a control group in a national project SIP (Cross-ministerial Strategic Innovative Promotion Program) from 2014-2019. Now, he is also promoting several collaborative works related to powertrain control systems with AICE (The Research association of Automotive Internal Combustion Engines).