Predictive Control Strategy of Nonlinear Multivariate Systems applied to Hybrid Powertrains
Modern vehicles are mostly hybrid, i.e., composed of multiple energy sources and reservoirs, and integrate multiple electrified systems. Advanced control methods have to be found to control such multiple-inputs and multi-objectives systems. The Christian-Doppler-Laboratory (CDL) work focuses on splitting the control into multiple levels, the high-level controller for long term operating strategy and the low-level for components control. Taking advantage of the available vehicle predictive information is one of the key elements of the various centralized and distributed controllers developed in the CDL.
Finally, modularity of the proposed algorithm is crucial to develop strategy that can be reused for different vehicle applications, from passenger vehicles to heavy-duty trucks, and with different powertrain components such as a fuel cell, a battery, an engine, emission after treatment systems, cooling units…
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Euler-Rolle, Nikolaus, Ferdinand Krainer, Stefan Jakubek, and Christoph Hametner. "Automated synthesis of a local model network based nonlinear model predictive controller applied to the engine air path., opens an external URL in a new window" Control Engineering Practice 110 (2021): 104768.
- February 2017 - January 2024