Co-Optimization of Speed Planning and Energy Management for Plug-In Hybrid Electric Trucks Passing Through Traffic Light Intersections

Xin Liu, Guojing Shi, Changbo Yang, Enyong Xu and Yanmei Meng ()
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Xin Liu: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Guojing Shi: School of Mechanical Engineering, Guangxi University, Nanning 530004, China
Changbo Yang: Dongfeng Liuzhou Motor Co., Ltd., Liuzhou 545005, China
Enyong Xu: Dongfeng Liuzhou Motor Co., Ltd., Liuzhou 545005, China
Yanmei Meng: School of Mechanical Engineering, Guangxi University, Nanning 530004, China

Energies, 2024, vol. 17, issue 23, 1-22

Abstract: To tackle the energy-saving optimization issue of plug-in hybrid electric trucks traversing multiple traffic light intersections continuously, this paper presents a double-layer energy management strategy that utilizes the dynamic programming–twin delayed deep deterministic policy gradient (DP-TD3) algorithm to synergistically optimize the speed planning and energy management of plug-in hybrid electric trucks, thereby enhancing the vehicle’s passability through traffic light intersections and fuel economy. In the upper layer, the dynamic programming (DP) algorithm is employed to create a speed-planning model. This model effectively converts the nonlinear constraints related to the position, phase, and timing information of each traffic signal on the road into time-varying constraints, thereby improving computational efficiency. In the lower layer, an energy management model is constructed using the twin delayed deep deterministic policy gradient (TD3) algorithm to achieve optimal allocation of demanded power through the interaction of the TD3 agent with the truck environment. The model’s validity is confirmed through testing on a hardware-in-the-loop test machine, followed by simulation experiments. The results demonstrate that the DP-TD3 method proposed in this paper effectively enhances fuel economy, achieving an average fuel saving of 14.61% compared to the dynamic programming–charge depletion/charge sustenance (DP-CD/CS) method.

Keywords: plug-in hybrid electric truck; eco-driving; energy management strategy; traffic light (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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