Optimal control of integrated energy management/mode switch timing in a three-power-source hybrid powertrain

Yi-Hsuan Hung, Yu-Ming Tung and Chun-Hsin Chang

Applied Energy, 2016, vol. 173, issue C, 184-196

Abstract: This study designed an efficient, easily implementable online optimal control strategy for three-power-source hybrid electric powertrains. The energy improvement of optimal energy management and integrated optimal energy management/mode switch timing relative to the energy consumption in rule-based control was evaluated. First, a control-oriented vehicle model with seven subsystems was developed. For achieving rule-based control, the torque distribution among the engine, motor, and generator was designed according to performance maps of power sources. To conduct power allocation of three sources, two power-split ratios were obtained. Furthermore, for switching between three operation modes (hybrid, electric vehicle, and range extension modes), two hysteresis zones based on the required power and battery state-of-charge were used with four designed variables (boundaries). A global search method was used for the optimization. A cost function with a physical-constraint penalty was used to maximize the travel distance. A simulation performed using nested-structure for-loop programs showed that the mileage extension (energy improvement) for the optimal energy management and integrated optimal energy management/mode switch timing relative to the mileage in rule-based control for two driving cycles, NEDC and FTP-75, were [26.32%, 30.52%] and [17.22%, 20.68%], respectively. The improvements of CO2 reduction were [26.34%, 27.10%] and [23.47%, 24.12%], respectively, thus proving that this study significantly reduced energy consumption and pollutant emission by employing an easily designed control strategy. Online parameter tuning and implementation of optimal energy management in a real vehicle will be conducted in the future.

Keywords: Energy improvement; Energy management; Operation mode; Optimization; Hybrid powertrain (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.apenergy.2016.04.025

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