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Study on Real-Time Control Based on Dynamic Programming for Plug-In Hybrid Electric Vehicles
Journal Article
14-10-02-0013
ISSN: 2691-3747, e-ISSN: 2691-3755
Sector:
Topic:
Citation:
Wang, W., Cai, Z., and Liu, S., "Study on Real-Time Control Based on Dynamic Programming for Plug-In Hybrid Electric Vehicles," SAE Int. J. Elec. Veh. 10(2):167-176, 2021, https://doi.org/10.4271/14-10-02-0013.
Language:
English
Abstract:
This study proposes a real-time control for plug-in hybrid electric vehicles
(PHEVs) based on dynamic programming (DP). In order to obtain the optimal
controls, DP is first used to solve the driving cycle, and a model-based
calibration (MBC) tool is used to generate the optimal maps from the optimal
trajectories. Further, a feedback energy management system (FEMS) is developed
with the SoC as the feedback variable, which considers the charge and discharge
reaction of the battery. To make full use of the energy stored in the battery,
combined with the charge depletion-charge sustain (CDCS) strategy, the reference
SoC is introduced. Finally, comparative simulation of the proposed real-time
controller and DP is performed. The obtained results show that the fuel
consumption of the real-time controller is 4.82 L/100 km in the worldwide
harmonized light-duty vehicles’ test cycles, which is close to the fuel
consumption with DP at 4.69 L/100 km. When the driving distance is known, the
SoC can follow the reference SoC to make full use of the energy stored in the
battery. The simulation results also indicate that the performance of the
controller is good and it can maintain the SoC within the desired range.