2023
DOI: 10.3390/wevj14060135
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Energy Management of P2 Hybrid Electric Vehicle Based on Event-Triggered Nonlinear Model Predictive Control and Deep Q Network

Abstract: Hybrid electric vehicles (HEVs) are used as a bridge during the transition to battery electric vehicles (BEVs) and to make energy consumption more efficient. The main problem in improving the efficiency of HEV energy consumption is torque management. In this study, a novel approach based on a nonlinear model predictive controller to solve the reference tracking and torque distribution problem is proposed. That is to say, in order to increase the efficiency of torque distribution, the weights of nonlinear model… Show more

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Cited by 2 publications
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“…In this study, the P2 hybrid commercial vehicle was selected as the model, and its topology is shown in Figure 1. The electric motor of the P2 hybrid vehicle is located between the combustion engine and the transmission, and the torque coupling between the electric motor and the combustion engine is controlled by the clutch, so that different vehicle control and energy management strategies can be set, to achieve different driving modes and improve the overall vehicle dynamics and fuel economy [20]. With the rapid development of new energy vehicles, the P2 structure has been widely adopted by major manufacturers due to its low cost [21].…”
Section: Hev Modelmentioning
confidence: 99%
“…In this study, the P2 hybrid commercial vehicle was selected as the model, and its topology is shown in Figure 1. The electric motor of the P2 hybrid vehicle is located between the combustion engine and the transmission, and the torque coupling between the electric motor and the combustion engine is controlled by the clutch, so that different vehicle control and energy management strategies can be set, to achieve different driving modes and improve the overall vehicle dynamics and fuel economy [20]. With the rapid development of new energy vehicles, the P2 structure has been widely adopted by major manufacturers due to its low cost [21].…”
Section: Hev Modelmentioning
confidence: 99%