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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  • 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.
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