WS23: CPS-Based Modeling and Optimization Control of Renewable Energy Vehicles
( CFP )

Workshop Code: x6225

Time: 13:30-17:00


  • Teng Liu
    Affiliation: Ph.D., Research Fellow, University of Waterloo, Canada


  • Yuan Zou
    Affiliation: Ph.D., Professor, Beijing Institute of Technology, China

  • Xudong Zhang
    Affiliation: Ph.D., Assistant Professor, Beijing Institute of Technology, China

  • Huilong Yu
    Affiliation: Ph.D., Research Fellow, University of Waterloo, Canada

Scope and Goals

Cyber physical systems (CPSs) are defined as the system where physical and software components are deeply intertwined to exhibit multiple and distinct behavioral modalities and interact with each other in a myriad of ways that change with context. Recent increased demands of performance and complex usage pattern accelerate advancements in the research field of CPSs.

Being a typical application of CPS in green transportation, hybrid electric vehicles (HEVs) show great potential to reduce energy consumption and air pollution. In such a system, hybrid electric powertrain and driving environments constitute the physical resources, communication and control data compose the cyber part of this system. Strong nonlinearities and uncertainties of the interactions between the cyber and physical resources increase difficulties in control, management and optimization of HEVs. Specially, energy management of HEV is critical and several challenges remain to be resolved, such as optimization, calculation time and adaptability.

This workshop aims to provide up-to-date research and development advances in modeling and optimization control of renewable energy vehicles.

Topics of Interest

  • Dynamic modelling of vehicle powertrain
  • CPS-based optimization control for vehicles
  • Parallel reinforcement learning-based energy management
  • Testing, verification and assessment of hybrid tracked vehicles
  • Energy management of multimode hybrid electric vehicles
  • Advanced battery management systems
  • Parallel driving-based connected hybrid electric vehicles
  • Battery electric vehicle dynamics and control


  • Parallel Reinforcement Learning for Hybrid Electric Vehicles
    Teng Liu, University of Waterloo, Canada,

  • Sizing and control of Hybrid Energy Storage System for Electric Vehicles
    Huilong Yu, University of Waterloo, Canada,

  • Ecologic Cruise Control of Electric Vehicles Considering Road Slope
    Weichao Zhuang, Southeast University, China,

  • Connected Vehicle Following Modeling and Control
    Yuan Zou, Beijing Institute of Technology, China,

  • Adaptive Multivariable Super-Twisting Control for Lane Keeping of Autonomous Vehicles with Differential Steering
    Chuan Hu, University of Waterloo