Smart Charging and Anti-Idling Systems

Introduction.- Powertrain Modeling and Component Sizing for the Smart Charger.- Driving and Service Cycle Estimation.- Power Management Controller Design for the Smart Charger.- Conclusions.- References.- Authors' Biographies.

Yanjun Huang is currently a Postdoc Fellow of Mechanical and Mechatronics Engineering with the University of Waterloo, where he received his Ph.D. in 2016. He received an M.S. in Vehicle Engineering from Jilin University, China in 2012. He is working on advanced control strategies and their real-time applications; vehicle dynamics and control; intelligent vehicle control; HVAC system modeling and control; modeling of hybrid powertrains, components sizing and power management control strategies design through concurrent optimization, and HIL testing; and variable valve actuation system for engines.Soheil Mohagheghi Fard is a research engineer in the automotive industry. He obtained his Ph.D. in 2016 from the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. His Ph.D. studies focused on development of a fuel-efficient anti-idling system for service vehicles. His research interests are: developing new powertrain technologies, power management systemof hybrid and electric vehicles, and vehicle dynamics.Milad Khazraee received his B.Sc. from K.N. Toosi University of Technology in 2010, his M.Sc. from the University of Manitoba in 2012, and his Ph.D. from the University of Waterloo in 2016, all in Mechanical Engineering. He is currently a postdoctoral fellow at the University of Waterloo. His main research interests include dynamics, system modeling, control, design optimization, power management, and hardware in the loop with focus on hybrid and electric vehicles, autonomous driving, robotics, and bio-engineering.Hong Wang is currently a research associate of Mechanical and Mechatronics Engineering with the University of Waterloo. She received her Ph.D. from the Beijing Institute of Technology in China in 2015. Her research focuses on the component sizing, modeling of hybrid powertrains, and energy management control strategies design for hybrid electric vehicles; intelligent control theory and application; and autonomous vehicles.