期刊
2020 AMERICAN CONTROL CONFERENCE (ACC)
卷 -, 期 -, 页码 1961-1967出版社
IEEE
DOI: 10.23919/acc45564.2020.9147465
关键词
-
资金
- European Regional Development Fund (ERDF) under the research project DUETT (Diesel-Hybrid Vehicles for Environmentally Conscious Mobility: A Networked System Development in a Physical and Virtual Environment) [ERDF-0800841]
- Center for Mobile Propulsion (CMP) - German Research Foundation (DFG)
- German Council of Science and Humanities (WR)
In this paper a real-time capable hierarchical nonlinear model predictive control framework for the energy management of a hybrid electric vehicle is presented. As high-level energy management, nonlinear model predictive control is employed. Therefore, a nonlinear optimal control problem is formulated using a control-oriented internal model derived from high-fidelity models and experimental data. The multiple shooting algorithm and an Euler backward scheme are used to discretize the optimal control problem. The resulting nonlinear problem is solved in real-time using Sequential Quadratic Programming. A rule-based gear choice and engine on / off strategy is added. Actuator dynamics and drivability are addressed in a fast low-level linear time-variant model predictive controller. The result is analyzed and compared to the optimal solution obtained by dynamic programming using a simplified model of the vehicle.
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