Comparison of Supervisory Control Strategies for Series Plug-In Hybrid Electric Vehicle Powertrains Through Dynamic Programming

@article{Patil2014ComparisonOS,
  title={Comparison of Supervisory Control Strategies for Series Plug-In Hybrid Electric Vehicle Powertrains Through Dynamic Programming},
  author={Rakesh M. Patil and Zoran S. Filipi and Hosam K. Fathy},
  journal={IEEE Transactions on Control Systems Technology},
  year={2014},
  volume={22},
  pages={502-509}
}
This paper compares the optimal fuel and electricity costs associated with two supervisory control strategies for a series plug-in hybrid electric vehicle (PHEV) using dynamic programming. One strategy has no restrictions on engine fuel usage and the second is restricted to fuel usage only after the battery is depleted below a certain threshold. Both strategies are optimized using deterministic dynamic programming (DDP) to ensure a fair comparison. The DDP algorithm is implemented using a… CONTINUE READING
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Comparison of optimal supervisory control strategies for a series PHEV powertrain

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