Lean Control: Peak Power Minimization in Hybrid Electric Vehicles with Limited Load Forecasts
Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam

Citation
Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam. "Lean Control: Peak Power Minimization in Hybrid Electric Vehicles with Limited Load Forecasts". Talk or presentation, 27, October, 2014; Poster presented at the 2014 TerraSwarm Annual Meeting.

Abstract
Hybrid energy systems, which consist of a load powered by a source and a form of energy storage, find applications in many systems, e.g., the electric grid and electric vehicles. A key problem for hybrid energy systems is the reduction of peak power consumption to ensure cost-efficient operation as peak power draws require additional resources and adversely affect the system reliability and lifetime. Furthermore, in some cases such as electric vehicles, the load dynamics are fast, not perfectly known in advance and the on-board computation power is often limited, making the implementation of traditional optimal control difficult. We aim to develop a control scheme to reduce the peak power drawn from the source for hybrid energy systems with limited computation power and limited load forecasts. We propose a scheme with two control levels and provide a sufficient condition for control of the different energy storage/generation components to meet the instantaneous load while satisfying a peak power threshold. The scheme provides performance comparable to Model Predictive Control, while requiring less computation power and only coarse-grained load predictions. For a case study, we implement the scheme for a battery-supercapacitor-powered electric vehicle with real world drive cycles to demonstrate the low execution time and effective reduction of the battery power (hence temperature), which is crucial to the lifetime of the battery.

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Citation formats

• HTML

  Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam. <a
  href="http://www.terraswarm.org/pubs/445.html"><i>Lean
  Control: Peak Power Minimization in Hybrid Electric Vehicles
  with Limited Load Forecasts</i></a>, Talk or
  presentation,  27, October, 2014; Poster presented at the
  <a
  href="http://www.terraswarm.org/conferences/14/annual"
  >2014 TerraSwarm Annual Meeting</a>.

• Plain text

  Yash Vardhan Pant, Truong X. Nghiem, Rahul Mangharam.
  "Lean Control: Peak Power Minimization in Hybrid
  Electric Vehicles with Limited Load Forecasts". Talk or
  presentation,  27, October, 2014; Poster presented at the
  <a
  href="http://www.terraswarm.org/conferences/14/annual"
  >2014 TerraSwarm Annual Meeting</a>.

• BibTeX

  @presentation{PantNghiemMangharam14_LeanControlPeakPowerMinimizationInHybridElectricVehicles,
      author = {Yash Vardhan Pant and Truong X. Nghiem and Rahul
                Mangharam},
      title = {Lean Control: Peak Power Minimization in Hybrid
                Electric Vehicles with Limited Load Forecasts},
      day = {27},
      month = {October},
      year = {2014},
      note = {Poster presented at the <a
                href="http://www.terraswarm.org/conferences/14/annual"
                >2014 TerraSwarm Annual Meeting</a>.},
      abstract = {Hybrid energy systems, which consist of a load
                powered by a source and a form of energy storage,
                find applications in many systems, e.g., the
                electric grid and electric vehicles. A key problem
                for hybrid energy systems is the reduction of peak
                power consumption to ensure cost-efficient
                operation as peak power draws require additional
                resources and adversely affect the system
                reliability and lifetime. Furthermore, in some
                cases such as electric vehicles, the load dynamics
                are fast, not perfectly known in advance and the
                on-board computation power is often limited,
                making the implementation of traditional optimal
                control difficult. We aim to develop a control
                scheme to reduce the peak power drawn from the
                source for hybrid energy systems with limited
                computation power and limited load forecasts. We
                propose a scheme with two control levels and
                provide a sufficient condition for control of the
                different energy storage/generation components to
                meet the instantaneous load while satisfying a
                peak power threshold. The scheme provides
                performance comparable to Model Predictive
                Control, while requiring less computation power
                and only coarse-grained load predictions. For a
                case study, we implement the scheme for a
                battery-supercapacitor-powered electric vehicle
                with real world drive cycles to demonstrate the
                low execution time and effective reduction of the
                battery power (hence temperature), which is
                crucial to the lifetime of the battery.},
      URL = {http://terraswarm.org/pubs/445.html}
  }
  

Posted by Yash Vardhan Pant on 6 Nov 2014.
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