Predictive energy management strategy of dual-mode hybrid electric vehicles combining dynamic coordination control and simultaneous power distribution
Lingxiong Guo,
Hui Liu,
Lijin Han,
Ningkang Yang,
Rui Liu and
Changle Xiang
Energy, 2023, vol. 263, issue PA
Abstract:
For the energy management, the energy conversion usually attracts focus of the researches in the control strategy design of hybrid electric vehicle (HEV), but the computational efficiency and dynamic coordination problem are often ignored, especially for the multi-mode HEV. Thus, this paper proposes a model predictive control (MPC)-based predictive energy management strategy for dual-mode HEV. In this strategy, the future vehicle speed is predicted in the given horizon, and then, an improved sequence quadratic programming algorithm (ISQP) that combines the deep Q-learning is designed to solve MPC problem, which effectively improves the computational efficiency and optimality of original SQP in iterative optimization. Meanwhile, a dynamic process coordination control algorithm is developed to take the torque coordination problem and balance relationship of mode shift dynamic process into the energy management problem. Eventually, the DP, SQP-MPC and rule-based energy management strategy are designed as the benchmark strategies to compare with the proposed method, and they are conducted in the three different test cycles. The results verify that the proposed strategy presents the desirable performance in fuel saving, real-time capability and robustness.
Keywords: Dual-mode hybrid electric vehicle; Real-time energy management strategy; Dynamic coordination control; Improved sequence quadratic programming; Deep Q-learning algorithm; Model predictive control (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pa:s0360544222024847
DOI: 10.1016/j.energy.2022.125598
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