Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a causal optimal controller based on Nonlinear Model Predictive Control (NMPC) is developed for a por-split Hybrid Electric Vehicle (HEV). The global fuel minimization problem is converted to a finite horizon optimal control problem with an approximated cost-to-go, using the relationship beten the Hamilton-Jacobi-Bellman (HJB) equation and the Pontryagin's minimum principle. A nonlinear MPC framework is employed to solve the problem online. Different methods for tuning the approximated minimum cost-to-go as a design parameter of the MPC are discussed. Simulation results on a validated high-fidelity closed-loop model of a por-split HEV over multiple driving cycles show that with the proposed strategy, the fuel economies are improved noticeably with respect to those of an available controller in the commercial Portrain System Analysis Toolkit (PSAT) software and a linear time-varying MPC controller previously developed by the authors.
['H. Ali Borhan', 'Chen Zhang', 'Ardalan Vahidi', 'Anthony Mark Phillips', 'Ming Kuang', 'S. Di Cairano']
I am writing a research paper on a idea Nonlinear Model Predictive Control for power-split Hybrid Electric Vehicles
[{"from": "human", "value": "I am writing a research paper on a idea Nonlinear Model Predictive Control for power-split Hybrid Electric Vehicles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a causal optimal controller based on Nonlinear Model Predictive Control (NMPC) is developed for a por-split Hybrid Electric Vehicle (HEV). The global fuel minimization problem is converted to a finite horizon optimal control problem with an approximated cost-to-go, using the relationship beten the Hamilton-Jacobi-Bellman (HJB) equation and the Pontryagin's minimum principle. A nonlinear MPC framework is employed to solve the problem online. Different methods for tuning the approximated minimum cost-to-go as a design parameter of the MPC are discussed. Simulation results on a validated high-fidelity closed-loop model of a por-split HEV over multiple driving cycles show that with the proposed strategy, the fuel economies are improved noticeably with respect to those of an available controller in the commercial Portrain System Analysis Toolkit (PSAT) software and a linear time-varying MPC controller previously developed by the authors."}]