Design Optimization of the Control System for the Powertrain of an Electric Vehicle: A Cyber-Physical System Approach
Chen Lv, Junzhi Zhang, Pierluigi Nuzzo, Alberto Sangiovanni-Vincentelli, Yutong Li, Yuan Ye

Citation
Chen Lv, Junzhi Zhang, Pierluigi Nuzzo, Alberto Sangiovanni-Vincentelli, Yutong Li, Yuan Ye. "Design Optimization of the Control System for the Powertrain of an Electric Vehicle: A Cyber-Physical System Approach". International Conference on Mechatronics and Automation, IEEE, 2, August, 2015.

Abstract
By leveraging the interaction between the physical and the computation worlds, cyber-physical systems provide the capability of augmenting the available design space in several application domains, possibly improving the quality of the final design. In this paper, we propose a new, optimization-based methodology for the co-design of the gear ratio and the active damping controller of the powertrain system in an electric vehicle. Our goal is to explore the trade-off between vehicle acceleration performance and drivability. Using a platformbased approach, we first define the system architecture, the requirements, and quality metrics of interest. Then, we formulate the design problem for the powertrain control system as an optimization problem, and propose a procedure to derive an optimal system sizing, by relying on the simulation of the vehicle performance for a set of driving scenarios. Optimization results show that the driveline control performance can be substantially improved with respect to conventional solutions, using the proposed methodology. This further highlights the relevance and effectiveness of a cyber-physical system approach to system design across the boundary between plant architecture and control law.

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Citation formats

• HTML

  Chen Lv, Junzhi Zhang, Pierluigi Nuzzo, Alberto
  Sangiovanni-Vincentelli, Yutong Li, Yuan Ye. <a
  href="http://www.terraswarm.org/pubs/579.html"
  >Design Optimization of the Control System for the
  Powertrain of an Electric Vehicle: A Cyber-Physical System
  Approach</a>, International Conference on Mechatronics
  and Automation, IEEE, 2, August, 2015.

• Plain text

  Chen Lv, Junzhi Zhang, Pierluigi Nuzzo, Alberto
  Sangiovanni-Vincentelli, Yutong Li, Yuan Ye. "Design
  Optimization of the Control System for the Powertrain of an
  Electric Vehicle: A Cyber-Physical System Approach".
  International Conference on Mechatronics and Automation,
  IEEE, 2, August, 2015.

• BibTeX

  @inproceedings{LvZhangNuzzoSangiovanniVincentelliLiYe15_DesignOptimizationOfControlSystemForPowertrainOfElectric,
      author = {Chen Lv and Junzhi Zhang and Pierluigi Nuzzo and
                Alberto Sangiovanni-Vincentelli and Yutong Li and
                Yuan Ye},
      title = {Design Optimization of the Control System for the
                Powertrain of an Electric Vehicle: A
                Cyber-Physical System Approach},
      booktitle = {International Conference on Mechatronics and
                Automation},
      organization = {IEEE},
      day = {2},
      month = {August},
      year = {2015},
      abstract = {By leveraging the interaction between the physical
                and the computation worlds, cyber-physical systems
                provide the capability of augmenting the available
                design space in several application domains,
                possibly improving the quality of the final
                design. In this paper, we propose a new,
                optimization-based methodology for the co-design
                of the gear ratio and the active damping
                controller of the powertrain system in an electric
                vehicle. Our goal is to explore the trade-off
                between vehicle acceleration performance and
                drivability. Using a platformbased approach, we
                first define the system architecture, the
                requirements, and quality metrics of interest.
                Then, we formulate the design problem for the
                powertrain control system as an optimization
                problem, and propose a procedure to derive an
                optimal system sizing, by relying on the
                simulation of the vehicle performance for a set of
                driving scenarios. Optimization results show that
                the driveline control performance can be
                substantially improved with respect to
                conventional solutions, using the proposed
                methodology. This further highlights the relevance
                and effectiveness of a cyber-physical system
                approach to system design across the boundary
                between plant architecture and control law.},
      URL = {http://terraswarm.org/pubs/579.html}
  }
  

Posted by Barb Hoversten on 1 Jun 2015.
Groups: tools