Model Predictive Control Based Power Management Strategy for Hybrid Electric Vehicles

As hybrid electric vehicles (HEVs) are now seeing a surge in demand on the present market because of the presence of an alternative energy source in addition to the internal combustion engine (ICE), the appeal for a robust and effective energy management system for this kind of drivetrain is increasing rapidly. This paper presents a comprehensive review of widely used state-of-the-art power management strategy (PMS) or sometimes called energy management strategies (EMS), utilized in HEVs. From numerous researches, the categories of existing PMSs are classified and a study of each of these is carried out and summarized in a coherent framework. The benefits and drawbacks of each strategy are examined here. real-time solutions are analyzed and evaluated on a qualitative scale. An emphasis on optimization approaches to solve the power management problem is introduced. Then, the model predictive control-based approach is introduced and its advantages are discussed. The performance of MPC based strategies are compared to that of other optimal control strategies (dynamic programming) and rule-based algorithms and their implications are discussed. The accuracy of predictions, the design parameters, and the solvers are some of the factors that are discussed here as having an impact on the performance of the MPC. Finally, a few significant concerns that have to be taken into account in the ongoing and future development control strategies are suggested.