| Issue |
MATEC Web of Conferences
Volume 35, 2015
2015 4th International Conference on Mechanics and Control Engineering (ICMCE 2015)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 5 | |
| Section | Mechanical engineering and control system | |
| DOI | https://doi.org/10.1051/matecconf/20153502003 | |
| Published online | 16 December 2015 | |
Model Predictive Speed and Headway Control with Energy Optimization for a Series Hybrid Vehicle with Range Extender
Department of Automotive Engineering, Technische Universität Berlin, Berlin, Germany
a Corresponding author: liting.lu@campus.tu-berlin.de
In this paper, a model predictive speed and headway control (MPSHC) with multi-input and multi-output (MIMO) is developed for a series hybrid vehicle with range extender (BEVx). The MPSHC calculates the optimal solutions of the efficient driving strategy and the efficient power supply, with the vehicle longitudinal dynamics and battery dynamics. It takes the driver’s demand, the legal speed limit, the driving behavior of the preceding object vehicle, the topography and the state of charge (SoC) into account. The energy consumption as the objective is minimized in the predictive horizon. The simulation results show that the proposed MPSHC algorithm has a good energy saving potential, compared with the conventional Adaptive Cruise Control (ACC) and the simple energy supply strategy.
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.