In this contribution a new developed load profile prediction and control optimization approach is applied for a fuel cell/supercap-based hybrid powertrain, whose electrical components are arranged in a Range extender topology. The load profile prediction is based upon past track information. Dependent on the prediction performance, using a variable horizon length, this algorithm can be adapted. The prediction algorithm is combined with a control optimization approach, which is based on a Hamiltonian problem. Hereby the nonlinear dynamic models of the powertrain and the criteria for the optimization of different system properties for a considered time interval are included. The approach is applied both as Model Predictive Controller (MPC) and Dynamic Programming (DP) algorithm. The results show that using this approch a significant improvement of the performance with respect to efficiency, availability, and component lifetime can be obtained in relation to other approaches and also to previous results of the authors.
- Dynamic Systems and Control Division
A New Optimal Power and Energy Management Approach Applied to a Fuel Cell/Supercap-Based Hybrid Powertrain System
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Marx, M, & Söffker, D. "A New Optimal Power and Energy Management Approach Applied to a Fuel Cell/Supercap-Based Hybrid Powertrain System." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 779-783. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8682
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