An adaptive firework algorithm optimization-based intelligent energy management strategy for plug-in hybrid electric vehicles

Chao Yang, Kaijia Liu, Xiaohong Jiao, Weida Wang, Ruihu Chen and Sixiong You

Energy, 2022, vol. 239, issue PB

Abstract: To enhance the energy management strategy (EMS) effect on improving the fuel economy of plug-in hybrid electric vehicle (PHEV), the method of optimizing the key parameters of EMS has become a common solution. However, there is still a certain gap between current fuel consumption and its theoretical optimum level of existing EMSs. The reasons might be that more control parameters of the EMS need to be optimized and the performance of the optimization algorithm should also be improved. Regard at this, this paper proposes an intelligent EMS for PHEVs using a novel adaptive firework algorithm (AFWA) for the efficient optimization of control parameters. The EMS includes a rule-based gear shift strategy, maintaining the driving shaft always rotating within a reasonable range by considering vehicle velocity, acceleration and current gear position, and Takagi-Sugeno fuzzy control-based torque distribution strategy, optimizing the engine operating points according to demand torque of powertrain and battery state of charge. Meanwhile, a modified AFWA is firstly proposed to efficiently optimize control parameters of these two strategies by more reasonably tune the search area of the core firework according to the number of iterations. Finally, the proposed EMS is verified and evaluated through simulation and HIL test platform.

Keywords: Plug-in hybrid electric vehicle; Energy management strategy; Gear shift strategy; T-S fuzzy Control; Adaptive firework algorithm (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pb:s0360544221023689

DOI: 10.1016/j.energy.2021.122120

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