Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Due to the limited computational capabilities of commercial control hardware, the implementation of model-based optimal control approaches remains a challenging problem. Among the model-based approaches, model predictive control (MPC) is infamous for its cumbersome computational cost especially for designing a hybrid vehicle portrain energy management system (EMS). To resolve this issue, two multi-parametric model predictive EMSs for a plug-in hybrid electric vehicle (PHEV) are introduced, by considering the limited memory size of a control hardware. One of the EMSs is designed based on an improved control-oriented model that is derived by using the control-relevant parameter estimation (CRPE) approach. The results of simulation using Autonomie software shows significant fuel saving by using these EMSs compared to a baseline controller, while maintaining real-time capabilities.
['Amir Taghavipour', 'Nasser L. Azad', 'John McPhee']
I am writing a research paper on a idea Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles
[{"from": "human", "value": "I am writing a research paper on a idea Multi-parametric energy management system with reduced computational complexity for plug-in 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: Due to the limited computational capabilities of commercial control hardware, the implementation of model-based optimal control approaches remains a challenging problem. Among the model-based approaches, model predictive control (MPC) is infamous for its cumbersome computational cost especially for designing a hybrid vehicle portrain energy management system (EMS). To resolve this issue, two multi-parametric model predictive EMSs for a plug-in hybrid electric vehicle (PHEV) are introduced, by considering the limited memory size of a control hardware. One of the EMSs is designed based on an improved control-oriented model that is derived by using the control-relevant parameter estimation (CRPE) approach. The results of simulation using Autonomie software shows significant fuel saving by using these EMSs compared to a baseline controller, while maintaining real-time capabilities."}]