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Special Session #3: Cyber-Physical Systems with Applications in Vehicle Electrification and Intelligence - VPPC 2022

Special Session #3: Cyber-Physical Systems with Applications in Vehicle Electrification and Intelligence

Co-Organizer: Xiaosong Hu, Chongqing University, China
Co-Organizer: Chen Lyu, Nanyang Technological University, Singapore
Co-Organizer: Ziyou Song, National University of Singapore, Singapore
Co-Organizer: Hong Wang, Tsinghua University, China

Call for Papers

Cyber physical system (CPS), a distributed, networked system that highly fuses computational processes with the physical devices, exhibits a multidisciplinary nature. In the context of CPS, wireless networking, sensing, computing and control advances have changed the way that society interacts with the physical world. As one of the typical applications of CPS, ground mobility is also being in a paradigm shift towards more efficient and intelligent transportation. Thus, vehicle-cyberphysical systems (V-CPS) become highly multidisciplinary and require an ever increasing integration of mechanical, electrical, electronic, control and information disciplines. This further offers ample prospects for the integration of various mechatronic components and subsystems, towards enhanced safety, sustainability and smartness of ground mobility. The aim of this special session is to compile recent research and development efforts contributing to advances in cyberphysical systems with their applications in vehicle electrification and intelligence. The special session will also welcome contributions addressing the state-of-the-art of V-CPS in associated developments, methodologies, and the perspectives on future developments and applications. High-quality articles are invited that explore this growing area and provide vision for future research activities.


Xiaosong Hu

Bio: Xiaosong Hu (SM’16) received the Ph.D. degree in automotive engineering from the Beijing Institute of Technology, Beijing, China, in 2012. He did scientific research and completed the Ph.D. dissertation in Automotive Research Center at the University of Michigan, Ann Arbor, MI, USA, between 2010 and 2012.

He is currently a Professor with the Department of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, China. He was a Postdoctoral Researcher with the Department of Civil and Environmental Engineering, University of California, Berkeley, CA, USA, between 2014 and 2015, as well as at the Swedish Hybrid Vehicle Center and the Department of Signals and Systems at Chalmers University of Technology, Gothenburg, Sweden, between 2012 and 2014. He was also a Visiting Postdoctoral Researcher with the Institute for Dynamic Systems and Control at Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2014. His research interests include modeling and control of alternative powertrains and energy storage systems.

Dr. Hu has been the recipient of numerous prestigious awards/honors, including Web of Science Highly-Cited Researcher by Clarivate Analytics, SAE Environmental Excellence in Transportation Award, IEEE ITSS Young Researcher Award, SAE Ralph Teetor Educational Award, Emerging Sustainability Leaders Award, EU Marie Currie Fellowship, ASME DSCD Energy Systems Best Paper Award, and Beijing Best Ph.D. Dissertation Award. He is an IET Fellow.


Chen Lyu

Bio: Chen Lyu is a Nanyang Assistant Professor at School of Mechanical and Aerospace Engineering, and the Cluster Director in Future Mobility Solutions, Nanyang Technological University. He received his PhD degree at Dept. of Automotive Engineering, Tsinghua University, China in Jan 2016. He was a joint PhD researcher at EECS Dept., University of California, Berkeley, USA during 2014-2015, and a Research Fellow at Advanced Vehicle Engineering Center, Cranfield University, UK during 2016-2018. He joined NTU and founded the Automated Driving and Human-Machine System (AutoMan) Research Lab since June 2018. His research focuses on advanced vehicle control and intelligence, where he has contributed 2 books, over 100 papers and obtained 12 granted patents.


Ziyou Song

Bio: Ziyou Song is an Assistant Professor with the Department of Mechanical Engineering at the National University of Singapore. He received B.E. degree (with honors) and Ph.D. degree (with highest honors) in Automotive Engineering from Tsinghua University, Beijing, China, in 2011 and 2016, respectively. After graduation, he worked as a Research Scientist at Tsinghua University from 2016-2017. From 2017 to 2019, he worked as a Postdoctoral Research Fellow at the University of Michigan, Ann Arbor, where he was also an Assistant Research Scientist/Lecturer from 2019 to 2020. Prior to joining NUS, he was a Battery Algorithm Engineer at Apple Inc., Cupertino, US, where he was in charge of battery management system for Audio products (e.g., AirPods).

Dr Song’s research interests lie in the areas of modelling, estimation, optimization, and control of energy storage (e.g., battery, supercapacitor, and flywheel) for electrified vehicles and renewable energy systems. Using energy storage as a bridge, his group is actively connecting the automotive, transportation, and power system communities by collaborating on interdisciplinary projects to ensure that both power system and transportation system are efficient, reliable, and clean. Dr. Song is the author or co-author of 2 book chapters and more than 60 peer-reviewed publications including 40 journal articles. He has received several paper awards, including Applied Energy 2015-2016 Highly Cited Paper Award, Applied Energy Award for Most Cited Energy Article from China, NSK Outstanding Paper Award of Mechanical Engineering, and 2013 IEEE VPPC Best Student Paper Award. Dr. Song serves as reviewer for more than 40 international journals. He also serves as Associate Editor for Automotive Innovation, SAE International Journal of Electrified Vehicles and IEEE Transactions on Transportation Electrification.

Hong Wang

Bio: Hong Wang is currently a Research Associate Professor at Tsinghua University. From the year 2015 to 2019, she was working as a Research Associate of Mechanical and Mechatronics Engineering with the University of Waterloo. She received her Ph.D. degree in Beijing Institute of Technology in China in the year 2015. Her research focuses on the risk assessment and crash mitigation-based decision making during critical driving scenarios, ethical decision making for autonomous vehicles, component sizing, modeling of hybrid powertrains and intelligent control strategies design for hybrid electric vehicles; intelligent control theory and application. She becomes the IEEE member since the year 2017. She has published over 40 papers on top international journals, such as IEEE Transaction on Intelligent System, IEEE Transaction on Vehicular Technology, IEEE Transaction on Mechatronics, etc. She also served as the associate editor for 2019 Intelligent Vehicles Symposium held in Paris, France.

Submission Deadline EXTENDED: 30 May 2022
Acceptance notification: 11 July 2022
Final paper submission deadline: 8 August 2022

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