Hybrid electric vehicles: A review of energy management strategies based on model predictive control

At present, hybrid electric vehicles are regarded as an effective way to solve global environmental pollution and energy shortage. Energy management strategy is the core technology of hybrid electric vehicles, which directly determines the fuel economy, driving performance, and life of the vehicle. However, the uncertainty and disturbance of real working conditions greatly increase the difficulty of energy management algorithm design. For this reason, many researchers have conducted in-depth research in this field. Among them, the model pre-dictive control strategy has the characteristics of real-time prediction and rolling optimization, and its appli-cation in different systems has proved that it has a good control effect and robustness. This paper comprehensively summarizes the advantages and applicable scenarios of different prediction methods and so-lution methods in the energy management strategy based on model predictive control of hybrid electric vehicles. The specific application and actual performance of the energy management strategy based on model predictive control in different systems are emphatically analyzed. Finally, the development of energy management strategy is prospected from the perspective of MPC-EMS. Based on the in-depth discussion, this research hopes to provide guidance and design ideas for researchers and promote the development of energy management strategies.

Automated summary

This paper comprehensively summarizes the advantages and applicable scenarios of hybrid electric vehicle energy management strategy based on model predictive control. The specific application and actual performance of this strategy in different systems are analyzed. The research aims to provide guidance and design ideas for researchers and promote the development of energy management strategies.